Network Administrator Jobs in California

Our client is seeking a Senior Systems Administrator to join their team! This position is located in Burbank, California. Manage and maintain Jira, Jira Service Management, and Confluence instances Configure and customize workflows, fields, screens, permissions, and notifications Develop and maintain custom scripts and plugins to enhance functionality Provide technical support to end-users, troubleshoot issues, and resolve them promptly Conduct training sessions for new users and create documentation for best practices and procedures Integrate Jira, JSM, and Confluence with other tools and systems used within the organization Automate repetitive tasks and processes using Jira Automation, REST APIs, and other relevant technologies Monitor system performance, identify bottlenecks, and implement solutions to optimize performance Review and clean up unused or outdated configurations and data Ensure the security and integrity of Jira, JSM, and Confluence data Implement and enforce access controls, security policies, and compliance requirements Plan and execute system upgrades, patches, and maintenance activities Stay updated with the latest features and capabilities of Atlassian products and assess their applicability to the organization Work within the System Development Life Cycle Excellent written and verbal communication skills Ability to work effectively with remote teammates and users Desired Skills/Experience: 3+ years of hands-on experience administering Jira, Jira Service Management, and Confluence Strong understanding of Atlassian product architecture and best practices Proficiency in configuring and customizing Jira, JSM, and Confluence Knowledge of database management and SQL Excellent analytical and problem-solving skills Excellent verbal and written communication skills Creative and innovative thinker Meticulous attention to detail Benefits: Medical, Dental, & Vision Insurance Plans 401K offered $29.82 - $42.60 (est. hourly rate)

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department Summary Our Technicians deliver TV and Smart Home solutions to millions of customers. As a technician, we will train you to lead the charge for a world-class customer experience, educating and connecting more Americans with every home you visit. You're the backbone of our organization and ensure an excellent customer experience. Our dedication to customer experience has paid off, as DISH is a six-time J.D. Power award winner for being #1 in Customer Satisfaction. Job Duties and Responsibilities What's In It for You? Career Growth: Many of our current operations leaders started in this role. Other technicians have moved into various departments within DISH to discover new challenges. Show grit and tenacity, and you'll grow quickly within an organization committed to your success Compensation Increases: Guaranteed promotion to Level 1 after 6 months with a $1.00 per hour pay increase. Performance-based promotions include automatic 5% pay increases at Level 2 and 10% at Levels 3 and 4 Performance Incentives: Potential to earn up to $6,400 in your first year and $9,100 each following year through performance-based bonuses. In addition, AwardPerqs are allocated for high performance and can be redeemed at your discretion; award redemptions include flights, excursions, electronics, houseware and more Comprehensive Benefits: Paid training, time off, and holidays. Medical, Dental, Vision and Life Insurance packages with a Health Savings Account Workplace Variation: Get the best of both worlds in a role that allows for the opportunity to problem solve by yourself, collaborate with fellow technicians, and engage with loyal customers Exclusive Perks: Free DISH TV programming valued at $114.99/month, plus discounts on Sling TV and Boost Mobile phone plans Financial Security: 401(K) with company match and an Employee Stock Purchasing Program (ESPP) Continued Education: Tuition Reimbursement to support your career development Tools Provided: DISH-supplied van, tools, and uniforms What You'll Be Doing: As a Field Technician, you'll represent DISH in customers' homes, simplifying their lives and introducing them to infinite smart home possibilities. Key responsibilities include: Working independently while enjoying support and collaboration from team members Managing your day to drive success while benefiting from the support of a large, competitive company Building rapport and ensuring an excellent customer experience Installing and servicing DISH products and smart home solutions Educating customers on product usage and smart home benefits Selling products and services with the intent to give our customers the best possible home entertainment experience Representing the company professionally, maintaining a positive attitude, a clean work area, and respectful interactions at all times Our Training Program Offers You: A process-based approach to effectively drive customer satisfaction Best-in-class practices, designed and tested by our technicians Knowledge of tool selection and proper use Up-to-date information on modern Smart Home technology and techniques to share that knowledge with customers for sales and educational purposes Skills, Experience and Requirements Required Skills and Experience: Customer Focus: Ability to build rapport quickly and ensure client satisfaction Problem-Solving: A knack for solving complex issues for a diverse customer base Determination: Ready for any challenge, including crawling into small spaces and working in varying climates/weather conditions; this includes roofs and crawl spaces without the comfort of air-conditioning Adaptability: Comfortable working in an environment that appreciates agility and determination Physical Requirements: Capable of standing on ladders (up to 40 feet) for extended periods, lifting over 70 lbs, and remaining within the individual weight limit requirements of 335 lbs Licensing: Valid driver's license with a clean driving record Flexibility: Willingness to travel as needed; flexible to work shifts that might include evenings, weekends, or holidays Salary Ranges Compensation: $22.75/Hour Benefits We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: DISH Benefits. The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws. The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

Our client in Irvine, CA is looking for an IT Systems Administrator / Solutions Engineer. This is a contract position. What You Will Do: We are seeking a highly motivated and versatile IT Systems Administrator / Solutions Engineer to join the Digital Workplace & Solutions team, focusing on our enterprise search and AI applications. This role will focus on development of custom features for our Enterprise Search application, Glean. The role will bridge the gap between our admins and internal business users, ensuring successful adoption and utilization of our cutting-edge technologies. You will leverage your strong technical background in development and integration to understand complex systems, while also possessing excellent communication and training skills to empower our users. As an IT Systems Administrator / Solutions Engineer, you will be a key contributor to the success of our enterprise search and AI initiatives, acting as a technical consultant, trainer, and problem solver. You will be responsible for designing, building, and optimizing our Enterprise Search solution, while also understanding user needs, translating them into actionable solutions, and providing ongoing technical support and guidance. Responsibilities: Develop and deploy AI-powered search systems: This includes utilizing technologies like natural language processing (NLP), machine learning (ML), and deep learning to understand user intent, extract meaningful insights from data, and deliver accurate search results. Develop a deep understanding of our enterprise search and AI platforms, including their architecture, functionalities, and APIs. Optimize search algorithms: Continuously improve search algorithms' accuracy, efficiency, and scalability to handle large volumes of data and complex search queries. Integrate with diverse data sources: Connect the search system with various data sources across the organization, including databases, document repositories, cloud storage, and enterprise applications. Personalize search experiences: Tailor search results based on user roles, preferences, prompts, and past interactions to provide a more relevant and engaging experience. Ensure data security and privacy: Implement robust security measures to protect sensitive information and comply with data privacy regulations. Build custom generative AI solutions: Create custom generative AI apps and agents securely and at scale on the Glean platform. Stay up-to-date with AI advancements: Continuously research and evaluate new AI technologies and techniques to enhance the search system's capabilities. Support End Users: Troubleshoot and resolve technical issues related to search and AI applications. User Enablement & Training: Conduct "Train the Trainer" sessions and workshops to empower internal business users to utilize our search and AI tools effectively. Host prompt-a-thons, office hours and provide personalized support to address user questions and challenges. Develop and maintain user training materials, including tutorials, FAQs, and knowledge base articles. Communicate complex technical concepts to non-technical audiences in a clear and concise manner. Gather user feedback and translate it into actionable insights for product development and training improvements. Solution Design & Implementation: Collaborate with business users to understand their specific needs and requirements related to search and AI. Design and implement customized solutions to address user challenges and optimize search and AI. Assist in the development of use cases and best practices for leveraging our search and AI applications. What You Will Need: Basics: 3-5+ years of experience in enterprise search engineering. Strong hands-on experience with Glean, including indexing, query processing, and search optimization. Proficiency in at least one programming language (e.g., Python, Java, Go). Experience with AI/ML techniques for search, such as natural language processing (NLP), information retrieval, and ranking algorithms. Familiarity with various data storage and processing technologies (e.g., databases, cloud storage, data pipelines). Excellent problem-solving and analytical skills. Strong communication and collaboration skills (ability to host training sessions, add input to status reports, optimize analytics dashboards, etc.) How You Will Be Successful: Envision the Future Communicate Honestly and Broadly Seek Technology and Business “First” Embrace Diversity and Take Risks What We Offer: Competitive Salary Comprehensive Benefit Package 401(k) with matching contributions Paid Time Off Employee Discounts Free training on all Altair products Why Work with Us: Altair is a global technology company that provides software and cloud solutions in the area of data analytics, product development, and high-performance computing (HPC). Altair enables organizations in nearly every industry to compete more effectively in a connected world, while creating a more sustainable future. With more than 3,000 engineers, scientists, and creative thinkers in 25 countries, we help solve our customer's toughest challenges and deliver unparalleled service, helping the innovators innovate, drive better decisions, and turn today's problems into tomorrow's opportunities. Our vision is to transform customer decision making with data analytics, simulation, and high-performance computing. For more than 30 years, we have been helping our customers integrate electronics and controls with mechanical design to expand product value, develop AI, simulation and data-driven digital twins to drive better decisions, and deliver advanced HPC and cloud solutions to support unlimited idea exploration. To learn more, please visit altair.com Ready to go? #ONLYFORWARD At our core we are explorers; adventures; pioneers. We are the brains behind some of the world's most revolutionary innovations and are not only comfortable in new and unchartered waters, we dive headfirst. We are the original trailblazers that make the impossible possible, discovering new solutions to our customer's toughest challenges. Altair is an equal opportunity employer. Our backgrounds are diverse, and every member of our global team is critical to our success. Altair's history demonstrations a belief that empowering each individual authentic voice reinforces a culture that thrives because of the uniqueness among our team.

About the Company - We are partnering with a cutting-edge AI research lab that is building foundation models from the ground up-across large language models (LLMs), image/video generation, and robotics. This is a high-intensity, hands-on environment for top-tier engineers who want to build state-of-the-art machine learning infrastructure at scale. About the Role - We are seeking a Senior ML Infrastructure Engineer to design and build distributed training systems for large-scale AI models. This role is highly technical and requires deep expertise in ML infrastructure, distributed computing, and large-scale model training. Responsibilities Architect and optimize distributed training infrastructure for massive-scale AI models. Set up and maintain multi-node, GPU-based training clusters (12+ nodes, 100+ GPUs). Debug and optimize ML training performance (NCCL, CUDA, PyTorch pipeline optimization). Implement and optimize data and model parallelism techniques (FSDP, DDP, DeepSpeed). Develop infrastructure for efficient data sharding, sampling, and pipeline execution. Build and monitor cluster performance and failure diagnostics (GKE/K8s, logging, and debugging tools). Work closely with research teams to ensure infrastructure meets the needs of frontier AI model development. Required Skills Experience: 5+ years in ML infrastructure, ML systems engineering, or AI platform engineering. Background: Proven experience at top AI research labs or companies working on large-scale AI models (e.g., OpenAI, DeepMind, Meta AI, NVIDIA, Anthropic, etc.). Preferred Skills Distributed Training: Multi-node training clusters, GPU compute optimization. ML Frameworks: PyTorch, PyTorch Lightning. Cluster Management: GKE/Kubernetes, cloud-based ML training setups. Parallelism Techniques: Data/model parallelism, FSDP, DDP, DeepSpeed. Debugging & Optimization: NCCL, CUDA, network optimizations for training stability. Mindset & Culture Fit: Highly driven, mission-focused, and thrives in a high-intensity startup environment. Excited to build ML infrastructure for training models from scratch (not just fine-tuning existing ones). Why Join? Work on cutting-edge AI research-building foundation models from scratch. Join a small, elite team solving some of the hardest ML infrastructure challenges. Have a direct impact on AI at scale, working alongside top researchers and engineers. Competitive compensation and meaningful equity in a fast-growing AI lab. This is an urgent hire, and we are reviewing candidates immediately. If you are an ML Infrastructure expert looking to work on groundbreaking AI research, apply now!

About the role Glass Imaging is looking for a Machine Learning (ML) Infrastructure Engineer to re-design and develop the backbone of our ML training and evaluation ecosystem. As an experienced professional with a track record of success architecting solutions in this area, you will have the freedom to reshape our platform from the ground up-crafting everything from GPU allocation and data management to experiment tracking and evaluation pipelines. You'll be working closely with our ML researchers and engineers to understand their needs, streamline their workflows, and ensure that our platform can scale with the team. You will help create automated repeatable solutions, reducing manual overheads. While we prioritize clean, maintainable code, we operate in a fast-moving research environment where adaptability is key-this role offers plenty of opportunity to explore new ideas, refine solutions, and continuously improve our infrastructure. If you're excited by the prospect of taking ownership of a system that will serve as the core of our ML efforts, we'd love to talk. Right now, we're looking for someone eager to tackle these challenges hands-on, but as our team grows, this role will have the opportunity to take on more leadership responsibility, guiding the continued development of our ML platform and helping shape the team around it. Responsibilities Design & build a scalable, efficient Python infrastructure for training and evaluating ML models. Improve automation of ML train/test infrastructure. E.g. Inference tools that log, cache, and visually compare model outputs, provide code-free methods to run models on new datasets. Develop and manage systems for GPU resource allocation, dataset management, experiment tracking, and evaluation pipelines. Integrate job scheduling (e.g. SLURM). Implement automated dataset versioning and validation. Build tools for reporting and visualizing model metrics and performance. Improve developer efficiency by creating tools and workflows that streamline ML model iteration and testing. Add and improve performance profiling. Ensure scalability and reliability of the ML platform as the company grows. Collaborate closely with ML researchers and engineers to understand their workflows and translate their needs into robust infrastructure. Introduce best practices for code organization, version control, and reproducibility in ML experiments. Encourage modularity, reusability and portability. Required Skills Strong software engineering / software architect level skills Experience designing and building infrastructure for ML training workflows Familiarity with performance profiling and optimization for ML training Excellence in Python, Linux scripting, and typical ML frameworks (e.g., PyTorch, TensorFlow). Experience with GPU management, distributed computing, and optimizing training pipelines Passion for turning messy, unstructured codebases into clean, scalable platforms Seeing the big picture in terms of code repo structure, job orchestration, task pipelining, and on-prem ML Ops for efficient resource usage Preferred Skills Proficiency in C++ Experience with customization/design of ML experiment tracking tools (e.g., Weights & Biases, ClearML, etc.); creation / customization of web GUIs and dashboards or Mac OS apps Knowledge of database and storage solutions for ML datasets Experience managing on site linux servers, NAS arrays, with large scale datasets Knowledge of cloud computing (e.g. AWS, GCP, etc.) and containerization (Docker, Kubernetes, etc.) Knowledge in image restoration and image quality assessment Location & Travel We are primarily hiring for positions in our SF Bay Area, CA (primarily in-person) office but may consider other arrangements for outstanding circumstances. Compensation & Benefits Competitive pay Stock options Health/Dental/Vision Insurance 401(k) Visa Sponsorship About GLASS Imaging Our mission is to bring professional-level image quality to everyone by making cutting-edge image processing accessible to all devices-from smartphones and XR devices to infrastructure maintenance and security applications. We believe that AI-driven processing can extract every ounce of image quality from any camera, making capturing better pictures with any camera easier for everyone. But we aren't just enhancing how images are processed; we're revolutionizing how they're captured, redefining the core principles of camera design and reimagining how lenses, sensors, and AI-driven processing work together. We're fundamentally changing how cameras operate to unlock unprecedented levels of performance and image quality. Founded by former Apple engineers behind Portrait Mode and other groundbreaking iPhone camera features, we're a team of passionate and experienced engineers pushing the boundaries of photography. Join us in shaping the future of camera technology! Equal Opportunity & Diversity Statement Glass Imaging is committed to fostering a diverse and inclusive workplace. We celebrate differences and do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, veteran status, or any other protected status. We encourage individuals from all backgrounds to apply.

Do you have experience in building scalable, cloud-based systems from the ground up, then this is the role for you! As part of the Infrastructure Engineering team, you will design large-scale backend systems, implement scalable infrastructure to support large-scale Generative AI (GenAI) workloads, optimize systems for performance, and drive the development of GenAI infrastructure. Required Qualifications: Education Experience: Bachelor's degree in computer science, Computer Engineering, or relevant technical field, or equivalent practical experience. Professional Experience: A proven track record as a technical leader in developing scalable, maintainable, and high-performance cloud-native infrastructure. Hands-on involvement in the architecture, development, and deployment of reliable infrastructure. 8+ years of experience leading, mentoring, or managing software engineers. Core Technical Skills: Practical Expertise in one or more cloud platforms like AWS, Azure, or GCP including scaling with Docker and Kubernetes. Deep understanding of network architecture, protocols, and security best practices Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation Experience with containerization technologies like Docker, Kubernetes Familiarity with scripting languages like Python, Bash Experience with service mesh (Linkerd, Istio) and API gateways (Kong, Traefik) to enhance microservices deployment and management. Ability to tackle complex problems, make data-driven decisions, and apply best practices in secure software development. Preferred Qualifications: 10+ years of hands-on experience building and maintaining high performance scalable infrastructure Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in production environments. Proficiency in orchestration frameworks like Flyte, MLFlow or similar technologies for automating complex workflows

Ability to work within multiple sites. This includes the ability to travel to different sites as necessary or required by the customer. Physically fit to walk through large areas Ability to work after hours and weekends if necessary or required by the customer. Knowledge using ServiceNow as the ticketing tool. Provide technical assistance and support, and resolve problems related to the use of computer hardware and software for end users. Analyze, resolve, respond to, and document end user inquiries. Install desktop/Laptop, printers/scanners, and other peripheral software using approved tools. Troubleshoot operating system issue. Connection issues with LAN/WAN. Update tickets with accurate and timely records of work performed, and resolution detail Maintain and contribute to a knowledge base. Coordinate hardware warranty repair. Perform inventory management activities as required in coordination with asset management and other corporate groups. Escalate to 3rd party vendors when necessary Responsible for raising and coordinating problem management issues Perform additional tasks (end user/infra related) when required Strong understanding and skills in SLA, KPI Management. Provide technical support stationed at the site who can quickly respond to problems that may arise within data center/computer/server rooms which need physical handling. In contrast to certified technicians, they are not necessarily trained nor duly recognized to specialize in a specific technology. Can handle all tasks related to the infrastructure equipment based on instructions provided by a remote technical assistance team that specialize in different products and categories. Receives instructions from certified technicians and project managers to troubleshoot advanced issues. Provide on-site, operational support service for remote management, installation and troubleshooting of data center equipment. Primary responsibility to manage End User related incidents and requests. Go to person for all plant IT related requests (Password resets, access etc. specific to plants).

Job Title: Power Profiling Engineer || US Job Type: Full Time Experience Level: 5-10 Years We are seeking a skilled Power Profiling Engineer to join our team. The ideal candidate will have strong experience working with hardware platforms, power testing, and automation using Python scripting. You will be responsible for setting up lab environments, conducting detailed power measurements, and collaborating with cross-functional teams to optimize system performance. A good understanding of ASIC architecture and behavior is essential for success in this role. Key Responsibilities: Perform power profiling and analysis across multiple hardware platforms. Set up and maintain lab environments, including hardware, instrumentation, and software tools. Develop and execute test plans for power measurement and validation. Create Python-based scripts and automation frameworks to streamline testing and data collection. Analyze power data, generate detailed reports, and present findings to engineering teams. Collaborate closely with ASIC, system architecture, validation, and software teams to identify power optimization opportunities. Troubleshoot hardware and software issues encountered during power profiling and testing. Maintain thorough documentation of test setups, procedures, and results. Required Skills and Qualifications: Platform Knowledge: Familiarity with embedded systems, mobile platforms, SoC (System-on-Chip) environments, or related hardware. Testing Expertise: Experience in executing structured power and performance testing workflows. Python Scripting: Strong proficiency in Python for automation, data analysis, and testing. Lab Environment Experience: Hands-on experience with setting up, maintaining, and troubleshooting lab hardware and equipment. ASIC Understanding: Basic to intermediate knowledge of ASIC design concepts, power domains, and system architecture. Preferred Qualifications: Experience with power measurement tools such as Monsoon, Power Monitor, or similar. Familiarity with data visualization tools for interpreting power and performance results. Prior experience with validation or silicon bring-up activities. Knowledge of low-power design techniques and power management frameworks.

Perform Software Systems Engineering for the development and sustainment phases of a project relative to mission planning software supporting aircraft and weapons systems. Ability to evaluate the impact of new capabilities and/or updated hardware and software on meeting the requirements and the mission performance on support software systems. Develop, review, and comment on H-60 software requirements during the development and sustainment phases of a project based upon PMA-299 provided information by developing trade-off studies, engineering approach analyses, system implementation analyses, and performing research to provide recommendations. Makes recommendations about human systems engineering. Experience with DOD Systems Engineering Technical Reviews, Systems Software and Systems-of-Systems engineering, model-based systems engineering approaches, and systems safety & reliability is desired. The successful candidate should possess strong communication (written/ oral) and presentations skills and strong critical thinking and reasoning skills. Experience with Mission Planning Software, DOORS , Atlassian Jira and Confluence, and agile project development lifecycle is highly desired. Required Education/Experience: BS or BA degree in a Technical Discipline. At least ten (10) years of experience in Systems Engineering supporting DoD aircraft systems, DoD weapons systems, DoD mission systems or DoD support systems, consisting of the design, development, integration and system testing of computer hardware and software. Ability to decompose requirements into technical system and software requirements is required.

7+ years of relevant experience working on distributed systems or BS in Computer Science with 5+ years of relevant experience Relevant development experience with OO languages (such as Python, Java, C++, etc.) In depth understanding of CI/CD, developer workflows and best practices In depth understanding of Git, standard branching & release process Automated build orchestration tools such as Jenkins, Hudson, CircleCI Experience in Kubernetes preferred Motivated and willing to learn and solve challenging problems Strong analytical skills Experience supporting a 24x7 software service

Are you passionate about powering the future? Join our innovative team dedicated to advancing lithium-ion battery technology and manufacturing solutions. We're seeking a skilled Battery Management Engineer to design, develop, and optimize battery management systems for cutting-edge applications. American Lithium Energy is advanced lithium-ion cell and battery manufacturer with 81000+ facility in Carlsbad and Vista, California. Responsibilities: Design and implement battery management systems (BMS) for lithium-ion batteries, ensuring safety, reliability, and performance. Develop algorithms for charge/discharge control, state-of-charge estimation, and thermal management. Collaborate with cross-functional teams on hardware and software integration. Conduct testing and validation of BMS designs, analyzing data to improve functionality and efficiency. Stay updated on industry trends and regulatory standards to enhance product development. Requirements: Bachelor's degree in electrical engineering, or related field (master's preferred). Five Year Experience in battery system design and manufacturing, with a focus on lithium-ion technology. Experience in the development of high power and high voltage batteries Proficiency in circuit design, simulation tools, and battery modeling software. Strong knowledge of BMS architectures, algorithms, and communication protocols (e.g., CAN, SPI, I2C). Problem-solving skills and a passion for innovation in clean energy technologies. What We Offer: Competitive salary and benefits package. Opportunities for professional growth and development. A collaborative work environment driven by innovation and sustainability. Be part of a team shaping the energy landscape! To apply, submit your resume and cover letter to *******************************.

At Gilero's Carlsbad, CA office, we are looking for a Systems Engineer to join our mission-driven team driving innovative solutions for patients and customers. In this role you will be responsible for supporting systems engineering project activities for medical device and drug delivery applications. Join us and be part of a company that values innovation, integrity, collaboration, and excellence! Responsibilities: Supports the development of new products throughout the full product development lifecycle from initial concept to release to market of new medical devices; primarily class I and class II electro-mechanical devices. Provides expertise in various Systems Engineering principles including user and stakeholder need definition; requirements definition; risk management, product architecture, configuration management, traceability, change management and reliability. Plans systems engineering projects by identifying appropriate system development lifecycles. Develops product development strategies for large or complex systems integrations. Generates system architecture definitions, integrations, development viewpoints and models. Manages the system architecture and relates it to the design throughout the lifecycle. Defines requirements hierarchy and how it relates to verification and validation planning. Performs functional system decompositions to solve complex design challenges. Prepares detailed component and assembly drawings. Participates in writing product and customer requirements, design and phase reviews, product and process risk assessments, root cause investigations, and corrective action planning. Authors and executes test methods and protocols for design verification and validation. Analyzes test data, interprets results, and formulates conclusions. Maintains the Design History File (DHF) and ensures documents are complete, accurate, and current. Contributes to developing systems engineering tools, processes, and systems. Defines objectives and oversees task level output for projects with some supervision. Contributes to solving open-ended problems and tasks. Formulates and develops detailed project deliverables with management oversight. Communicates technical risks and proposed solutions clearly with the customer. Sources and interfaces with third party vendors. Remains aware of industry trends. Supports business development efforts by meeting with potential customers and providing input on engineering estimations. Establishes trust and rapport with new clients with clear communication. May act as mentor to engineering interns. Travel will be required, as necessary (typically less than 5%). Skills/Qualifications: BS in Engineering or equivalent technical degree. 1+ years relevant experience. Experience developing electro-mechanical medical devices, preferred. Familiarity with system modeling tools and methodologies (e.g., UML, SysML), preferred. Familiarity with working in both agile and waterfall methodologies, preferred. Working knowledge of SolidWorks or other 3D CAD (Computer Aided Design) modeling software, preferred. Familiarity with requirements management software (e.g., Jama, Polarion, Doors), desired. Awareness of how to develop products for compliance with IEC 60601 for electrical safety and IEC 62304 for software development, preferred. Awareness of how to develop products for compliance with FDA 21 CFR Part 820.30, 21 CFR Part 4, ISO14971, ISO 13485 and EU MDR, preferred. Personal Attributes: Meets Gilero Core Values: Collaboration, Innovation, Excellence, Integrity Productive in a fast-paced, entrepreneurial environment. Commits to excellence and quality service to external and internal customers. Adheres to established policies and procedures, while contributing to continuous improvements Why work at Gilero? Founded in 2002, Gilero, a Sanner Group company, is an international contract engineering firm that specializes in the design, development, and manufacturing of novel medical devices and drug delivery products. At Gilero we are proud of the culture we have built that directly reflects our values of excellence, integrity, innovation, and collaboration. Motivated by our purpose to benefit people and improve patient outcomes, our team continue to grow at a rapid pace. US locations include Carlsbad, CA; Chicago, IL; as well as NC locations in Raleigh, Durham, Greensboro, and Pittsboro. You will enjoy an annual bonus plan, Medical (3 BCBS plans to choose from), Guardian dental and vision, company provided life insurance, short-term and long-term disability, 401(k) with a match the first month you start with a zero-vesting period, and access to LinkedIn learning for personal and professional development.

System Power Engineer The main function of a system power engineer is to research, design, develop, test high-density, industry-leading wearable electronics. The candidate will work with emerging technologies in a fast-paced team. Job Responsibilities: Initiate and drive project plan, including creating new designs and modifications of existing designs. Drive product prototypes, working models or theoretical models constructed with computer simulation. Design and/or review system power architecture. Model and characterize power for a wide selection of new technologies the team is investigating. Write detailed functional specifications and design flow/tradeoff. Support new technology introduction. Act as a subject matter expert to engineering staff and consult specifications to evaluate power requirements of the overall system. Provide training and support to system integrators, product owners and users. Direct technicians, engineering designers or other technical support personnel as needed. Candidates will be evaluated based on their deliverables in hardware design and prototype builds, as well as documentation and communications with cross-functional teams. Skills: Good EE fundamentals in power and analog domain. In depth knowledge of power converter topologies, system architecture and characterization. Solid hands-on experience in lab equipment, such as oscillating scope, differential probes. Ability to drive projects with high ambiguity, multiple paths, and fuzzy future to clarity. Experience in consumer electronics and working with vendors/contract manufactures is a plus. Understanding of battery, thermal, and system integration is a plus. Understanding of wireless charging technology is a plus. Experience in developing automated tests and validation is a plus. Experience in power modeling in consumer technology is a strong plus. Education/Experience: Bachelor's degree in engineering required.

Clearance Requirement: U.S. Citizenship required Experience Level: Senior (7+ years) iMETALX, Inc. is a company that aims to create a future where space is accessible and sustainable for all. We provide space domain awareness (SDA) and in-space servicing solutions for governments and businesses. iMETALX is looking for an engineer to join the team to work on cross-domain applications focusing on In-Space Servicing, Assembly, and Manufacturing (ISAM) such as on-orbit refueling, repositioning, and repair. This will span areas around spacecraft autonomy, such as world view, perception, and controls, as well as testing and deploying the software on real systems. iMETALX is looking for a platform engineer to bring on the team to support product development for various on-orbit demonstrations on our roadmap. Job Description: We are seeking a highly experienced Platform Systems Engineer to lead the design, development, and management of robust software platforms supporting high-performance computing and AI-enabled systems. This role requires deep technical knowledge in embedded systems, platform scalability, GPU integration, and infrastructure performance-across both edge devices and on-premises cloud environments. As a senior engineer, you'll work cross-functionally with software and hardware teams to deliver resilient, scalable platforms that meet demanding power, performance, and security requirements. Key Responsibilities Design, implement, and manage software platforms on Windows and Ubuntu using C++, Python, and deep learning frameworks (e.g., TensorFlow, PyTorch). Collaborate closely with hardware and software developers to ensure seamless integration, with attention to GPU compatibility, power requirements, and resource constraints. Architect and optimize platforms for scalability, efficiency, and network interfacing, supporting high-throughput and real-time performance. Support and enhance both developer and user experience by refining platform strategies, tooling, and build systems. Monitor system performance, perform root-cause analysis, and proactively troubleshoot platform-level issues. Drive CI/CD improvements and support the automation of routine tasks, especially for pre-deployment validation and platform testing. Ensure data protection, platform security, and vulnerability mitigation across systems. Implement and maintain containerization strategies (e.g., Docker), supporting modular and portable deployment. Design and maintain build frameworks that support multi-platform compilation and hardware abstraction layers. Work with architectures such as x86, mingw, ARM, and integrate across edge devices and on-prem/cloud-hosted systems. Optimize memory usage and structures to ensure deterministic and efficient behavior in constrained, real-time environments, and error handling. Implement support for network protocols and platform-level messaging between distributed components. Document processes, platform configurations, and operational workflows for reproducibility and team alignment. Stay current with emerging technologies and best practices in embedded systems, platform development, and devops. Qualifications U.S. Citizenship is required due to the nature of the work and customers. 7+ years of experience in embedded systems, platform engineering, or infrastructure development. Strong expertise with C++, Python, and working in Linux (Ubuntu) and Windows environments. Hands-on experience with deep learning frameworks and supporting GPU-accelerated applications. Deep understanding of containerization, build systems, and CI/CD pipelines. Experience with edge computing, site-hosted cloud architectures, and real-time system constraints. Familiarity with network protocols, memory management, and system-level performance tuning. Experience with x86, mingw, ARM and other hardware architectures common to embedded and platform development. Ability to own cross-functional development efforts and influence platform direction with minimal oversight. Strong documentation skills and a commitment to operational excellence. Preferred Qualifications: Experience with secure systems design or DoD/NASA platform standards Background in high-assurance, real-time, or safety-critical environments Contributions to open-source platform tools or embedded software frameworks Why Join Us? You'll be at the forefront of deploying intelligent systems in challenging environments-from space to the edge-while helping define the future of space AI platforms. We offer a highly collaborative team, cutting-edge hardware, and an environment where innovation is expected and rewarded.

The System Engineer is responsible for designing, developing, testing, and integrating radio frequency (RF) systems and components, ensuring they meet performance and compliance standards. Essential Functions and Responsibilities Determines system specifications: input/output processes and working parameters for electrical/hardware/software compatibility required by the customer. Assists in the coordination of the design of subsystems and integration of total systems. Includes a variety of engineering and systems techniques including system testing. Incorporates technologies from multiple disciplines including mechanical engineering, electrical engineering, electro-magnetics, digital signal processing, and control theory. Recommend design changes to improve overall system performance. Responsible for the technical portion of the CRA (Change Request Authorization) Responsible for creation and maintenance of the PDD (Product Definition Document) which may be stored electronically in a database. Identifies, analyzes and resolves program support deficiencies. Develops and recommends corrective actions. Responsible for system level evaluation and testing for compliance of components by specifications including the clarification of requirements for the test authors. Responsible for communication with customer/resident engineer regarding design definition in conjunction with the engineering lead/manager for the program. Responsible for communication with factory engineering, and validation engineering regarding design/test issues. Responsible for developing and executing Customer and Factory Acceptance test plans. Assist Program Managers with special assignments and engineering tasks in developing, prototyping, testing, and producing custom systems for specific project needs. Nonessential Functions: Perform other duties as assigned. Qualifications BCSC/BSEE/BSME/ISE/AE degree or equivalent technical degree in engineering or a minimum of 3 to 5 years as a Systems Engineer, Project Engineer, Field Engineer, Electronics or Field Technician. Specific experience in an electronics manufacturing environment preferred. Broadcast or satellite engineering, Electronics circuit assembly and troubleshooting, Mechanical assembly and troubleshooting, AutoCAD, Read and interpret electronic schematics and mechanical assembly drawings, Audio/video/multi-media; navigation; hard drives and electronic test equipment. Must be a U.S. citizen or Green Card holder for authorized access to controlled technology/data as subject to ITAR Valid Driver's License Valid passport Required Skills and Abilities Proficient user of MS Office Suite, Teams, Asana Proficient user of ERP, MRP, Adobe; uni Point preferred Supervisory Responsibilities: This position has no supervisory responsibilities

Akkodis is seeking a Systems Engineer (Multiple Positions/Levels) for a contractual role with an Aerospace Client in Irvine, CA. This position is fully onsite Rate Range : $40/hour - $86/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Systems Engineer responsibilities include: Participate in the planning, design, development, and verification of systems. Evaluate customer and operational needs to define and coordinate system performance requirements, integrate technical parameters, and assure compatibility of all physical, functional, and program interfaces. Implement verification and validation of system requirements with proper flow down and traceability for system and hardware components. Create test plans and schedules; develop test procedures and supporting documentation, execute verification tasks, and demonstrate requirements verification coverage. Perform interface development, documentation, compliance, and system integration to ensure system success. Provide trade studies and impact analysis, failure analysis, and modeling. Review customer specifications and determine compliance to requirements and statement of work and/or note exceptions. Ensure the timely and efficient completion of projects to achieve the company's strategic and financial goals. Design new products and modify existing products to support customer, manufacturing, regulatory, industry standard, and market requirements. Provide technical support, interact, and collaborate with cross-functional teams, including design, manufacturing, quality, testing, program management, suppliers, and customers to resolve problems and implement solutions. Evaluate design changes for impact to product design, cost, and schedule. Will be an integral member of program Change Control Board's (CCB) to review the preparation of documentation with the end goal of system qualification and product certification. Participate in new product development process to support design for manufacturability, design for cost, preliminary and critical design reviews. Identify and analyze potential failure modes and recommend design improvements. Other Duties as assigned Desired Qualifications: Experience presenting technical plans or speaking on technical topics to project teams, customers or other groups as required Adhere to safe work practices and contributes to the evolution of the health, safety, and environmental program and culture Knowledge or experience with one or more of the following areas: electrical, software, mechanical, or electronic system design, analysis and qualification. Experience with Model-Based Systems Engineering (MBSE) using tools such as Cameo or equivalents. Proficiency in using a requirement management software tool (such as DOORS) for requirements capture and management. Knowledge of the practical application of engineering science and technology. This includes applying principles, techniques, procedures, and equipment to the design and production of various goods and services. Strong understanding of system engineering development processes, such as ARP 4754 or IEEE 632. Knowledge or experience with Matlab/Simulink/Simscape and their application to system modeling, performance, and design, preferred. Experience with DO-160, ARP4761, and MIL-STD-810 preferred. Familiar with Advance Product Quality Planning is a plus but not required. If you are interested in this position, please click Apply Now. We are open to working with professionals who are authorized to work in the US without sponsorship. No C2C Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit ****************************************** The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance

Role: Smart Buildings Engineer Responsibilities Design and implement intelligent building systems, including energy management, security, and automation solutions. Work with stakeholders to define project scope, requirements, and technical objectives. Conduct site evaluations and feasibility assessments for smart technology integration. Develop prototypes and proof-of-concept projects to validate new innovations. Stay ahead of industry trends, emerging technologies, and evolving regulations in building intelligence. Provide technical expertise and guidance to project teams, ensuring best practices in engineering and system implementation. Analyze data from building systems to identify improvements and enhance performance. Qualifications Bachelor's or master's degree in engineering, Computer Science, Building Science, or a related field. At least 3 years of experience in building systems design, with a focus on smart buildings or IoT technologies. Proficiency in design and analysis software such as AutoCAD, Revit, and MATLAB. Strong knowledge of network architecture, protocols, and standards related to building automation. Excellent problem-solving and analytical skills, with a proactive approach to innovation. A collaborative mindset, thriving in multidisciplinary team environments. Outstanding communication abilities-both written and verbal.

Key Responsibilities Include: Responsible for overall Primavera SaaS (Oracle Primavera P6 EPPM Cloud) latest version implementation and configuration, migration & integration Coordinating with Oracle for environment provisioning and fine tuning environment landscape of Dev, Test and Prod Analysis and understanding of existing project management systems and partnering with implementation partners to create migration strategies to move projects to Primavera for SaaS deployment. Design, update & develop the functional documents for configuration, migration & integration. Responsible for coordination with Dev Ops on configuring Single Sign on(SSO) & Active Directory (AD) integration for P6 EPPM on cloud (SaaS) Supports Integration of P6 with internal Gfiber systems Execute and support System Integration Testing (SIT) and User Acceptance Testing (UAT) Providing Subject matter expertise in Primavera application to the customer for its effective usage Qualification Required: 8+ years of hands-on Application Administrator, configuration, enhancements and development experience of Primavera modules: P6 EPPM(Web), P6 Professional, P6 API, P6 Web Services 3 + years of Full Life Cycle implementation experience Experience in P6 API, REST API or P6 Web service for developing interface design is needed Experience in P6 EPPM on Cloud (SaaS) implementation is must. Experience in integration of Primavera with other applications is must. Experience in migration of large number of projects from project management system to Primavera on SaaS deployment Must have deep level knowledge of Oracle Primavera (P6) functionality to be able to consult with business on best practices of implementation and configurations of P6. Oracle certification in Primavera would be a plus Soft Skills: · High analytical skills · A high degree of initiative and flexibility · High customer orientation · High quality awareness · Excellent verbal and written communication skills Collaboration: Work closely with functional consultants, business analysts, and other stakeholders to gather requirements, provide technical guidance, and ensure solutions align with business needs. Testing: Conduct thorough unit testing, integration testing, and performance testing to ensure the quality and stability of delivered solutions. Documentation: Maintain comprehensive technical documentation for all developed objects and processes

About the Company - We are partnering with a cutting-edge AI research lab that is building foundation models from the ground up-across large language models (LLMs), image/video generation, and robotics. This is a high-intensity, hands-on environment for top-tier engineers who want to build state-of-the-art machine learning infrastructure at scale. About the Role - We are seeking a Senior ML Infrastructure Engineer to design and build distributed training systems for large-scale AI models. This role is highly technical and requires deep expertise in ML infrastructure, distributed computing, and large-scale model training. Responsibilities Architect and optimize distributed training infrastructure for massive-scale AI models. Set up and maintain multi-node, GPU-based training clusters (12+ nodes, 100+ GPUs). Debug and optimize ML training performance (NCCL, CUDA, PyTorch pipeline optimization). Implement and optimize data and model parallelism techniques (FSDP, DDP, DeepSpeed). Develop infrastructure for efficient data sharding, sampling, and pipeline execution. Build and monitor cluster performance and failure diagnostics (GKE/K8s, logging, and debugging tools). Work closely with research teams to ensure infrastructure meets the needs of frontier AI model development. Required Skills Experience: 5+ years in ML infrastructure, ML systems engineering, or AI platform engineering. Background: Proven experience at top AI research labs or companies working on large-scale AI models (e.g., OpenAI, DeepMind, Meta AI, NVIDIA, Anthropic, etc.). Preferred Skills Distributed Training: Multi-node training clusters, GPU compute optimization. ML Frameworks: PyTorch, PyTorch Lightning. Cluster Management: GKE/Kubernetes, cloud-based ML training setups. Parallelism Techniques: Data/model parallelism, FSDP, DDP, DeepSpeed. Debugging & Optimization: NCCL, CUDA, network optimizations for training stability. Mindset & Culture Fit: Highly driven, mission-focused, and thrives in a high-intensity startup environment. Excited to build ML infrastructure for training models from scratch (not just fine-tuning existing ones). Why Join? Work on cutting-edge AI research-building foundation models from scratch. Join a small, elite team solving some of the hardest ML infrastructure challenges. Have a direct impact on AI at scale, working alongside top researchers and engineers. Competitive compensation and meaningful equity in a fast-growing AI lab. This is an urgent hire, and we are reviewing candidates immediately. If you are an ML Infrastructure expert looking to work on groundbreaking AI research, apply now!