Senior systems engineer jobs in California

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee. Note on Cleared Roles: If this position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. This position requires an active TS/SCI clearance and be willing and able to obtain a CI polygraph. Vantor is seeking a Space Systems Risk Management Engineer to join our team to work with the U.S. Space Force as part of the effort to define and manage an integrated system-of-systems space enterprise, specifically focused on SSC's Space Systems Integration Office (SSIO). You will apply systems engineering principles and risk management methodologies to complex systems of systems across the space industry. Grow your skills by researching new requirements, technologies, and threats and using innovative engineering methodologies and tools to create tomorrow's solutions. Responsibilities: System engineering expertise: develop and maintaining system architectures, requirements documents, interface control documents (ICDs), and other technical documentation. System of Systems (SoS) Engineering: integrate heterogeneous systems and managing interdependencies. Risk Management utilizing qualitative and quantitative risk analysis techniques. Space Systems Knowledge: space systems architecture, including spacecraft, launch vehicles, ground systems, and communication networks. Modeling & Simulation: system analysis and performance evaluation. Develop and use models to assess system behavior and identify potential risks. Minimum Qualifications: Must be a US Citizen, current/active TS/SCI clearance, and willing and able to obtain a CI Polygraph. Bachelor's degree in engineering (Aerospace, Systems, Electrical, Mechanical, or related field) is required. 5-7 years of experience in systems engineering, with a focus on complex systems, preferably within the space industry. Experience with System of Systems (SoS) engineering principles is highly desirable. Demonstrated experience in risk management processes and techniques is essential. Must be able to work on-site in El Segundo, CA. Experience with systems engineering methodologies (e.g., Agile, Model-Based Systems Engineering (MBSE)). Experience in integrating heterogeneous systems and managing interdependencies. Knowledge of relevant industry standards (e.g., NASA, MIL-STD, ISO). Familiarity with project management software (e.g., Microsoft Project, Jira, WarpCore). Desired Qualifications: Master's degree in Aerospace, Systems, Electrical, Mechanical, or related field. #cjpost #LI-CJ1 Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is: $113,000.00 - $189,000.00 Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: ****************************** The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

The product development team is seeking an experienced Systems Architect to drive and support our engineering efforts. Our team takes pride in building a wide range of products - GPU PCIe cards, SHIELD consumer devices, Jetson embedded platforms, DRIVE autonomous vehicle technologies, modular data center architectures, and more. In this role, you will have the opportunity to help bring ground-breaking technologies to life. What you will be doing: Interact with NVIDIA customers to ensure that all product features and optionality are clearly understood and implemented as intended Intercept potential escalations and work with engineering team to prioritize and ensure customer satisfaction Work with sales, customer management, applications engineering, and other customer facing teams to ensure alignment and prioritization to meet critical milestones for customer success Foster a mutually beneficial partnership with key customers System architecture Ability to communicate with and direct all team members building any NVIDIA product, including but not limited to, members contributing to PCB design, PCB architecture, system architecture, PCB Layout, Mechanical, Thermal, Chip Arch, product management, product marketing and executive leadership Clearly summarize and inform colleagues of the important aspects of products and systems to gather feedback and share ideas Help teams solve critical design challenges Make informed decisions and own the results NVIDIA roadmap Develop future architectures and provide guidance to software and ASIC teams to influence long term product roadmap Create new initiatives to explore undeveloped features and present their applicability to future products Analyze and summarize tradeoffs of future system architectures, product features, and software functions What we need to see: BS degree or greater in an engineering field & strong EE fundamentals (or equivalent experience) 10+ years hands-on experience with hardware architecture & product development Culture of continuous learning, ongoing process improvement, and a first-principles approach to creative problem-solving Experience in influencing decisions and leading teams in a matrix environment Excellent communication and presentation abilities, including to executive audiences With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Artificial Intelligence, Deep Learning, Autonomous Vehicles, and Robotics. We have a real passion for perfection and for building products that excite the imagination. If you share these values and have the experience and skills to participate, we would love to have you join our team. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 5, and 232,000 USD - 368,000 USD for Level 6. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 29, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee. Note on Cleared Roles: If this position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact in the DoD? You understand your customer's environment and how to develop the right systems for their mission. Your ability to translate real-world needs into technical specifications makes you an integral part of delivering a customer focused engineering solution. At Vantor, you'll work with the U.S. Space Force as part of the effort to develop and rapidly deploy the next generation of resilient Missile Warning (MW), Tactical Intelligence, Surveillance, and Reconnaissance (TISR), and Environmental Monitoring (EM) capabilities to deter attacks and provide critical information to our warfighters to defeat our enemies in battle. Within this role, you will lead a Systems, Engineering, and Integration (SE&I) team to plan and execute SE&I processes for space programs, including requirements analysis, architecture design, integration, testing, verification, and transition. Plan and coordinate SE&I activities across the SE&I team and broader stakeholder community, including the Federally Funded Research and Developmental Centers (FFRDCs), development contractors, and external stakeholders. Grow your skills by researching new requirements, technologies, and threats and using innovative engineering methodologies and tools to create tomorrow's solutions. Join our team and create the future of Remote Sensing in the Space Force. Due to the nature of work performed within this facility, U.S. citizenship is required. Empower change with us. Build Your Career: When you join Vantor, you'll have the opportunity to connect with other professionals doing similar work across multiple markets. You'll share best practices and work through challenges as you gain experience and mentoring to develop your career. In addition, you will have access to a wealth of training resources through our Digital University, an online learning portal where you can access more than 5000 tech courses, certifications and books. Build your technical skills through hands-on training on the latest tools and tech from our in-house experts. Pursuing certifications? Take advantage of our tuition assistance, on-site courses, vendor relationships, and a network of experts who can give you helpful tips. We'll help you develop the career you want as you chart your own course for success. Qualifications: Secret clearance Bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) field 10+ years of experience with performing SE&I tasks on a major DoD or IC space programs 5+ years of experience with leading a team performing SE&I on large-scale national security satellite programs Experience with leading a team for development of technical specifications, interface control documents, integration plans and schedules, and inter-service support agreements Knowledge of DoD 5000.01 and 5000.02 Ability to communicate and establish collaborative relationships with government clients, FFRDCs, and associate contractor teammates to achieve program goals Preferred Qualifications: Experience leading a team performing SE&I tasks on Space-Based Environmental Monitoring (SBEM) systems Experience leading a team using a Model-Based Systems Engineering approach to manage system definitions and technical baselines Knowledge of systems engineering standards, including IEEE 15288.1 and IEEE 15288.2 Knowledge of Agile Methodologies Ability to be highly motivated with a dynamic work ethic and demonstrate a strong desire to contribute to the DoD mission Ability to perform multiple systems engineering and program management functions in support of design reviews and requirements verification Ability to identify, analyze, and resolve technical risks and issues, develop technical reports, and collaborate with government and other stakeholders to implement recommended solutions TS/SCI clearance Master's degree in Engineering, Mathematics, Physics, or CS INCOSE Systems Engineering Professional Certification, including ASEP, CSEP, or ESEP Certification #cjpost #LI-CJ1 Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is: $137,000.00 - $229,000.00 Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: ****************************** The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

Candidates ONLY "No 3rd Party Candidates" The Server Administrator will work with a broad range of customers, partners, and key stakeholders in administrative and academic units to provide best-in-class server administration services. Required Qualifications Bachelor's degree, or equivalent combination of experience/training, in one or more of the following fields: computer science, engineering, computer information systems, etc. 3+ years of experience in one or more of the following fields: server administration, information technology, etc. Prior experience installing, configuring, modifying, and supporting Windows and Linux operating systems, hypervisor, and other virtualization technologies. Prior experience in information technology, platform services, or server administration. Experience with monitoring, auditing, tuning, analysis and optimization of system performance, security and capacity planning, patching, and upgrades. Prior experience with Unix and PowerShell scripting and scripting with Perl, Python, or other modern languages. Proficiency in key Infrastructure as Code (IaC) methodologies and principles. Strong customer service skills. Ability to triage and escalate to supervisors and/or other teams for resolution. Strong written and verbal communication skills and ability to communicate technical information and ideas to a diverse community of colleagues and stakeholders. Ability to establish and advance positive working relationships and strong rapport with team members, stakeholders, and customers. Strong organizational skills and ability to balance competing priorities and support concurrent projects. Demonstrated problem-solving skills; scopes solutions based on knowledge of available resources and timelines. Must have Windows sys admin, Linux, RHEL, Ubuntu, Citrix XenServer, Vmware, Ansible Nice to have: EPIC, Bigfix, ServiceNOW, Morpheus, iDRAC, Netscaler

Systems Engineer - Video Intelligence Infrastructure - San Francisco About the Company A Series A Funded start-up who already have millions in recurring revenue are building next-generation AI infrastructure for video intelligence are looking for a Systems Engineer to join their team. What You'll Be Doing: Design and engineer systems that handle compute, scheduling, and orchestration of complex ML + ETL pipelines Optimize hyper-fast distributed systems running at the scale of thousands of GPUs Build systems that process video data quickly, reliably, and cost-effectively at internet scale Develop robust internal tooling and CI/CD pipelines for rapid ML team iteration Focus on system uptime and performance optimization for mission-critical infrastructure What We're Looking For: 3+ years building foundational data infrastructure Experience designing and maintaining pipelines that process petabytes of data Strong background developing CI/CD pipelines for ML-focused teams Excellent coding skills in Go and Python Independent contributor who leads by example What's In It For You Competitive salary up to $250k Small, high-impact team with significant growth trajectory Opportunity to work with top AI video labs and collect world-class datasets Apply now for immediate consideration!

We are actively searching for a Distributed Systems Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Our office is located in downtown SF and we collaborate two days a week onsite. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 3+ years of professional distributed database systems experience Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Available to collaborate onsite 2 days a week Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

Staff / Lead ML Infrastructure Engineer San Francisco, CA - Onsite Salary - Over market average + equity We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads. What You'll Own Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment. High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines. Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs. End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout. Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability. Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling. Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction. What You've Done Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company. Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams. Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). Strong engineering fundamentals in Python, Go, or equivalent languages. Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data. Demonstrated ability to lead complex cross-org initiatives and drive technical strategy. Nice to Have Experience with video processing systems, large-scale media pipelines, or streaming architectures. Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators). Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads. Background working in high-growth AI startups or research-focused environments. Security and compliance considerations for models that generate or process user content. Why Join Shape the underlying platform powering one of the most advanced generative video systems in the world. Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs. Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies. Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.

Ready to play a key role in building the future of living? Join Samara in tackling California's housing shortage and enabling people to attain sustainable housing without compromising design or quality. Our flagship product, Backyard, is a fully turnkey, premium accessory dwelling unit (ADU) designed for homeowners and real estate developers. As we expand our offerings and scale our in-house development initiatives, we're at a pivotal moment, redefining homeownership through high-quality, attainable infill housing. Backed by top-tier investors, including Airbnb, Thrive Capital, and 8VC, Samara is positioned for significant growth and market impact. To support our next phase of growth, we're hiring product-focused engineers to advance and scale the technical foundation of our modular system. These roles go beyond traditional design work-they refine system standards, improve factory repeatability, and ensure our units are code-compliant, manufacturable, and built to the highest standards of quality and performance. The MEP Systems Engineer will be responsible for the detailed design and implementation of mechanical, electrical, plumbing, and PV systems tailored for modular construction building systems. This role requires a deep understanding of MEP systems combined with practical experience in modular construction. You will collaborate closely with leadership, crossfunctional design and engineering teams to integrate all technical and user experience requirements into our designs to ensure optimal functionality, sustainability, and compliance with all regulations. What You'll Do Design and develop integrated MEP systems for our new and existing designs including solar energy systems, including PV and ESS, optimized for prefabricated modular construction Ensure that solar and energy storage designs align with overall MEP system functionality and building energy requirements Lead the creation of comprehensive design documents, schematics, component material selections and system layouts, preferably using CAD and BIM software Provide technical leadership during the installation and commissioning phases to ensure systems meet design specifications and performance standards Conduct system testing and validation to ensure functionality, efficiency, and safety of both MEP and PV installations Collaborate closely with installation teams to facilitate seamless and efficient factory and onsite implementation of design Engage in research and application of the latest technologies and practices in renewable energy and modular construction Work with program managers and other engineering disciplines to ensure holistic integration of all systems within Samara modular units What We're Looking For Modular construction experience in factory builds, multi-mod, stackable and/or other hands on related experience. Licensed Electrician or Mechanical Contractor -and/or- Bachelor's degree in Mechanical, Electrical, or Energy Systems Engineering, or a related field Professional Engineering (PE) license preferred Minimum of 7 years of experience in one of the following: Mechanical, Electrical, Solar and/or Plumbing System design Comprehensive knowledge of building codes, safety regulations, and sustainability practices relevant to MEP and renewable energy systems Proficiency in design software such as Onshape, Revit, and/or other BIM methodologies preferred Excellent problem-solving skills and the ability to adapt designs to changing technological and regulatory landscapes Strong communication and leadership skills, capable of driving project decisions and managing complex stakeholder relationships Ability to travel to our factory in Mexico up to 25-40%. What We Offer Salary range of $120-160K and performance-based bonuses. Hybrid work schedule with 3 days each week in our Redwood City office. Snacks and Lunch on in-office days Early stage employee equity. Exceptional health, dental, and vision insurance. 401k eligibility after 6 months. Flexible PTO policy. How to Apply If you're excited to support Samara's mission and have the skills to match, we'd love to hear from you. Please submit your resume and a brief letter of introduction to our team. Let's build something extraordinary-together.

NO C2C candidates please: Job Title: Systems Engineer Description & Requirements: This role is Onsite in Oxnard, CA & it's a 6+ months contract KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Systems Engineer in Oxnard, CA Summary: We are seeking a highly skilled and motivated Systems Engineer to support and enhance our IT infrastructure. This role is essential to the stability, security, and efficiency of our technology systems. The successful candidate will be responsible for the architecture, implementation, maintenance, and troubleshooting of core systems that support municipal operations and services. Essential Responsibilities: Design, implement, and manage Active Directory infrastructure including architecture and troubleshooting. Maintain and support physical and virtual server hardware across the organization. Architect, install, and support Windows Operating Systems, including patch management and OS/app updates. Administer robust backup and recovery solutions and ensure systems meet RPO/RTO requirements. Design and manage system/application patching strategies across environments. Handle certificate lifecycle management, including installation, renewal, and trust chain validation. Deploy, configure, and monitor system performance and availability using enterprise monitoring tools. Lead lifecycle management initiatives including asset tracking, upgrades, and retirement planning. Utilize PowerShell scripting to automate administrative tasks and configuration management. Design, manage, and troubleshoot VMWare and HyperV virtualization platforms. Support NAS/SAN infrastructure and storage networking systems. Ensure operational readiness through thorough documentation, change control, and knowledge sharing. Required Experience: Proficiency required in the following areas, including architecture, design, day-to-day operations, and troubleshooting: Active Directory Server Hardware Windows O/S Backup/Recovery Systems O/S & Application Patching Certificate Management System Monitoring Tools Lifecycle Management PowerShell Scripting Virtual Server Hardware VMWare NAS/SAN Solutions Storage System Networking Nice to Have Skills: Experience in the following areas is highly desirable: Linux O/S (RHEL/Ubuntu/SUSE) SFTP/FTP Tool Management IIS / Apache Web Server Management Advanced Certificate Management Architecture Advanced System Monitoring Design Cloud Infrastructure Solutions (Azure, AWS, etc.) Horizon Client Virtualization HyperV Management Advanced NAS/SAN Architecture Storage Network Design & Architecture Qualifications: Bachelor of Science degree in Computer Science, Information Technology, or related field (or equivalent work experience) Minimum of 5 years of experience in a Systems Engineer or similar infrastructure role Relevant certifications preferred (e.g., Microsoft, VMware, CompTIA, Cisco, etc.) Strong problem-solving and analytical skills Ability to communicate effectively with technical and non-technical stakeholders Compensation depends on experience but is typically $60-70/hr on W2

San Francisco, CA (Onsite) About the Company A fast-moving AI research group is building the core video data infrastructure used by leading AI labs and major tech companies. The team is small at around fifteen people, nearly all engineers, and recently pivoted to focus exclusively on high-quality video data at massive scale. The shift has driven significant revenue growth, and they are now planning to expand the team steadily over the next few months. The culture is straightforward: engineering led, product focused, low ego, and built around people who enjoy ownership. They work in person five days a week in their San Francisco office, moving quickly, solving hard problems, and avoiding micromanagement. The Role This position focuses on designing and scaling distributed systems that support huge ML and ETL workloads across petabytes of video. You will own core infrastructure: compute scheduling, orchestration, throughput, reliability, cost efficiency, and the internal tooling that keeps the entire engineering group moving at pace. The company is beginning to scale its infrastructure footprint aggressively, and this role will become central to that growth. It is a hands-on IC position suited to someone who has operated critical systems before and wants to shape the foundation of a rapidly expanding platform. What You'll Work On • Architect and scale distributed systems for large-scale ML and ETL workloads • Build compute orchestration and scheduling across thousands of GPUs • Improve uptime, resilience, and execution speed of high-volume data pipelines • Design pipelines capable of handling petabyte-level video datasets • Lead the development of CI/CD and internal tooling for fast iteration • Partner closely with research engineers delivering new video models and algorithms • Operate in a high-trust environment with strong autonomy and clear ownership Requirements • 3+ years building foundational distributed systems or data infrastructure • Experience running critical systems at significant scale • Proficient across cloud architectures • Strong coding experience with Go (preferred) and Python • Background building or maintaining large-scale pipelines • Experience with ML-focused CI/CD and automation • Video domain experience is not required • Operates as a strong IC who leads through action • Fully onsite in San Francisco, Monday to Friday Culture Fit • Enjoys ambiguity, problem discovery, and self-direction • Communicates clearly and concisely • Shows strong intellectual curiosity • Low ego, collaborative mindset • Motivated by building core systems in a small, high-caliber team Red flags include weak communication, low curiosity, or unclear motivation for the domain. Interview Process Intro call focused on culture, curiosity, and communication Technical discussion on background and complexity of past work Problem-solving session with a research engineer Onsite research problem and collaboration exercise

Client visits in North OC area (around Anaheim or Buena Park, CA) Salary: $125K-$140K + Bonus | MSP Experience Required A fast-growing and highly respected Managed Service Provider (MSP) based in La Verne, CA, is looking for a Client Technology Advisor or Technical Solutions Advisor to join their team to service their OC clients. If you're passionate about helping businesses thrive through smart IT strategy, have strong systems/network administration experience, and thrive in client-facing roles-this is your next big step. As a CTA, you'll be the strategic technical liaison between the MSP and its clients, ensuring their IT environments are not just supported, but aligned with industry standards and evolving business goals. This is a high-impact role where your insights directly shape client success and contribute to continuous improvement across the organization. What You'll Do Own and maintain accurate, up-to-date documentation of client technology environments. Conduct discovery and assessments (remote and onsite) to align client tech with internal standards. Collaborate with Client Success Managers and vCIOs to guide technology planning and business reviews. Recommend improvements and modernization strategies based on standards and lifecycle planning. Act as a technical escalation point for service desk and project teams. Support strategic initiatives and contribute to the evolution of internal best practices and service delivery. What You'll Bring MSP Industry experience is a must. Experience with systems and network administration in small/mid-sized business environments. Hands on implementation with M365, Azure, Windows/Virtual Servers, network infrastructure, firewalls, VPN, and cloud services. Strong business acumen and ability to translate technical insight into client value. Why Join Paid Certifications - We invest in your growth and technical development. 100% Company-Paid Health, Vision, and Dental Insurance 401K with Company Match Generous PTO + Bi-Annual Performance Bonuses Family-Owned Culture - Open-door leadership, direct impact, and a team-first mindset. Ready to work with a team that values innovation, integrity, and doing the right thing? Apply today and take the next step in your MSP career!

Job Title: Systems Engineer Employment Type: Full-Time TransSIGHT is at the forefront of delivering advanced transportation solutions, providing innovative software and hardware products that enhance system efficiency, reliability, and customer experience. We are seeking a highly motivated Systems Engineer to join our Los Angeles team and contribute to the design, development, and deployment of cutting-edge solutions. Position Summary: The Systems Engineer will play a critical role in supporting the development, integration, and deployment of software and hardware systems. This role requires a detail-oriented professional capable of coordinating system development tasks, maintaining thorough technical documentation, and ensuring successful solution implementation for our clients. Primary Responsibilities: Support the definition of software and hardware products and interfaces in the areas of CAD/AVL and fare collection. Coordinate system development tasks, including design, integration, and formal testing. Oversee all transitions into customer deployment environments. Develop and execute projects encompassing system specifications, technical and logistical requirements, and other disciplines. Create and maintain programmatic and technical documentation, including design documents, requirement matrices, and system diagrams, to ensure efficient planning and execution. Manage and document system configurations. Ensure the successful deployment of solutions. Maintain a thorough working knowledge of enterprise applications. Implement performance analysis and reliability analysis of end-to-end protocols. Assist with other tasks as needed by the Systems Engineering department. Provide training and guidance to Associates and Project Engineer I/II staff as needed. Qualifications: Bachelor's degree in Systems Engineering, Computer Science, Electrical Engineering, or a related field. Minimum of 5 years of experience in systems engineering, software/hardware integration, or related disciplines. Strong understanding of system design, integration, and testing processes. Experience managing technical documentation and system configurations. Ability to perform performance and reliability analysis of complex systems. Excellent problem-solving, organizational, and communication skills. Ability to work both independently and collaboratively in a fast-paced environment. Preferred: Prior experience in transportation, software, or hardware systems engineering. Familiarity with enterprise applications and deployment processes. Why Join TransSIGHT: Work on innovative projects shaping the future of transportation. Collaborative and supportive team environment. Opportunities for professional growth and continuous learning.

Adaptive Networks is a technology company dedicated to providing solutions that address our clients' business objectives. We focus on understanding each customer's unique challenges and opportunities in their market. By designing, implementing, maintaining, and optimizing solutions, we empower our customers to achieve their business goals more effectively. Our focus is on ensuring the reliability, flexibility, and scalability of customers' core network foundations, whether on-premise or in the cloud, to add value and foster long-term relationships. Role Description The Systems Engineer handles advanced issues, designs robust solutions, and leads automation projects. With expertise in Microsoft Intune, PowerShell, and the Microsoft 365 Security and Compliance suite, this role ensures systems are secure, compliant, and automated. This role includes customer service responsibilities and maintaining the Adaptive culture of providing top tier service, and networks that are Simple. Stable. Secure. Responsibilities: · Design, implement, and optimize client IT infrastructure, including servers, networks, and cloud systems · Lead automation initiatives using RMM, RPA, Intune, PowerShell and other tools · Perform root cause analysis and resolve critical technical issues · Implement advanced Microsoft Intune configurations and security policies · Monitor and manage advanced Microsoft 365 security and compliance features, such as DLP, SIEM integrations, and compliance tools · Mentor Tier 1 and Tier 2 technician in troubleshooting and automation · Develop technical documentation and standard operating procedures · Collaborate with Senior Engineers on strategic IT initiatives Qualifications · 5+ years of experience in IT support, system engineering, or equivalent roles · Proven expertise in Microsoft Intune, PowerShell, and Microsoft 365 security and compliance · Expertise in designing and implementing complex IT solutions, including cloud and on-premises systems · Advanced PowerShell scripting skills for automation · In-depth knowledge of RMM, RPA and automation tools; strong understanding of compliance tools like DLP, SIEM integrations and SOC · Analytical mindset with the ability to perform root cause analysis and recommend improvements · Bachelor's degree in IT, Computer Science, or related field (preferred) Relevant certifications such as CompTIA, Cisco, or Microsoft are a plus

Systems Engineer - Video Intelligence Infrastructure - San Francisco About the Company A Series A Funded start-up who already have millions in recurring revenue are building next-generation AI infrastructure for video intelligence are looking for a Systems Engineer to join their team. What You'll Be Doing: Design and engineer systems that handle compute, scheduling, and orchestration of complex ML + ETL pipelines Optimize hyper-fast distributed systems running at the scale of thousands of GPUs Build systems that process video data quickly, reliably, and cost-effectively at internet scale Develop robust internal tooling and CI/CD pipelines for rapid ML team iteration Focus on system uptime and performance optimization for mission-critical infrastructure What We're Looking For: 3+ years building foundational data infrastructure Experience designing and maintaining pipelines that process petabytes of data Strong background developing CI/CD pipelines for ML-focused teams Excellent coding skills in Go and Python Independent contributor who leads by example What's In It For You Competitive salary up to $250k Small, high-impact team with significant growth trajectory Opportunity to work with top AI video labs and collect world-class datasets Apply now for immediate consideration!

We are actively searching for a Distributed Systems Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Our office is located in downtown SF and we collaborate two days a week onsite. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 3+ years of professional distributed database systems experience Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Available to collaborate onsite 2 days a week Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

Staff / Lead ML Infrastructure Engineer San Francisco, CA - Onsite Salary - Over market average + equity We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads. What You'll Own Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment. High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines. Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs. End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout. Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability. Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling. Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction. What You've Done Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company. Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams. Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). Strong engineering fundamentals in Python, Go, or equivalent languages. Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data. Demonstrated ability to lead complex cross-org initiatives and drive technical strategy. Nice to Have Experience with video processing systems, large-scale media pipelines, or streaming architectures. Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators). Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads. Background working in high-growth AI startups or research-focused environments. Security and compliance considerations for models that generate or process user content. Why Join Shape the underlying platform powering one of the most advanced generative video systems in the world. Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs. Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies. Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.

San Francisco, CA (Onsite) About the Company A fast-moving AI research group is building the core video data infrastructure used by leading AI labs and major tech companies. The team is small at around fifteen people, nearly all engineers, and recently pivoted to focus exclusively on high-quality video data at massive scale. The shift has driven significant revenue growth, and they are now planning to expand the team steadily over the next few months. The culture is straightforward: engineering led, product focused, low ego, and built around people who enjoy ownership. They work in person five days a week in their San Francisco office, moving quickly, solving hard problems, and avoiding micromanagement. The Role This position focuses on designing and scaling distributed systems that support huge ML and ETL workloads across petabytes of video. You will own core infrastructure: compute scheduling, orchestration, throughput, reliability, cost efficiency, and the internal tooling that keeps the entire engineering group moving at pace. The company is beginning to scale its infrastructure footprint aggressively, and this role will become central to that growth. It is a hands-on IC position suited to someone who has operated critical systems before and wants to shape the foundation of a rapidly expanding platform. What You'll Work On • Architect and scale distributed systems for large-scale ML and ETL workloads • Build compute orchestration and scheduling across thousands of GPUs • Improve uptime, resilience, and execution speed of high-volume data pipelines • Design pipelines capable of handling petabyte-level video datasets • Lead the development of CI/CD and internal tooling for fast iteration • Partner closely with research engineers delivering new video models and algorithms • Operate in a high-trust environment with strong autonomy and clear ownership Requirements • 3+ years building foundational distributed systems or data infrastructure • Experience running critical systems at significant scale • Proficient across cloud architectures • Strong coding experience with Go (preferred) and Python • Background building or maintaining large-scale pipelines • Experience with ML-focused CI/CD and automation • Video domain experience is not required • Operates as a strong IC who leads through action • Fully onsite in San Francisco, Monday to Friday Culture Fit • Enjoys ambiguity, problem discovery, and self-direction • Communicates clearly and concisely • Shows strong intellectual curiosity • Low ego, collaborative mindset • Motivated by building core systems in a small, high-caliber team Red flags include weak communication, low curiosity, or unclear motivation for the domain. Interview Process Intro call focused on culture, curiosity, and communication Technical discussion on background and complexity of past work Problem-solving session with a research engineer Onsite research problem and collaboration exercise

We are actively searching for a Distributed Systems Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Our office is located in downtown SF and we collaborate two days a week onsite. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 3+ years of professional distributed database systems experience Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Available to collaborate onsite 2 days a week Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

Staff / Lead ML Infrastructure Engineer San Francisco, CA - Onsite Salary - Over market average + equity We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads. What You'll Own Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment. High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines. Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs. End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout. Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability. Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling. Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction. What You've Done Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company. Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams. Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). Strong engineering fundamentals in Python, Go, or equivalent languages. Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data. Demonstrated ability to lead complex cross-org initiatives and drive technical strategy. Nice to Have Experience with video processing systems, large-scale media pipelines, or streaming architectures. Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators). Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads. Background working in high-growth AI startups or research-focused environments. Security and compliance considerations for models that generate or process user content. Why Join Shape the underlying platform powering one of the most advanced generative video systems in the world. Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs. Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies. Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.