Software Systems Engineer Visa Sponsorship Jobs in California
Software systems engineer visa sponsorship jobs in California are concentrated in the San Francisco Bay Area, Los Angeles, and San Diego, where companies like Google, Apple, Qualcomm, and Northrop Grumman regularly hire and sponsor international engineers. California's tech and defense sectors drive consistent demand for systems engineering expertise at all career levels.
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Get Access To All JobsINTRODUCTION
NVIDIA is seeking a senior systems software engineer to help engineering teams run demanding build, simulation, and validation workloads efficiently and reliably. Our Workload Systems Engineering team connects customer workflows with the infrastructure that performs them. We develop self-service mechanisms and clear diagnostics, investigate performance and reliability across system boundaries, and deliver measured infrastructure improvements with the teams that own the underlying components.
ROLE AND RESPONSIBILITIES
Your responsibilities include enabling application configuration, remote execution, workers, hosts, GPU and CPU resources, storage, data paths, and on-target systems. The position requires direct system evaluation: diagnosing causes of slow or failing workloads, trying alternatives in representative scenarios, applying improvements with others, and verifying customer advantages.
What you'll be doing:
- Build shared self-service and validation mechanisms that let engineering teams configure and use supported infrastructure workflows with less manual assistance.
- Give customers and on-call teams useful diagnostic views across application, submission, remote-execution, and host or target layers so they can identify where failures and slowdowns originate.
- Set performance and reliability benchmarks for representative workloads. Apply profiling, metrics, traces, and controlled experiments to pinpoint the changes that make a difference.
- Evaluate and improve compute and GPU selection, scheduling and placement, concurrency, worker and runner configuration, resource sharing, caching, and input/output paths.
- Make retry causes, recovery outcomes, and wasted execution capacity visible. Work with component owners to eliminate recurring failures and unnecessary re-execution.
- Implement and validate infrastructure-level changes with application, build and CI, remote-execution, and infrastructure teams. Measure the effect on turnaround, successful efficiency, stability, usable capacity, and cost.
- Turn successful investigations into supported workflows, diagnostics, documentation, and clear customer handoffs.
BASIC QUALIFICATIONS
- Over 8 years of solid software engineering experience working with production compute infrastructure, distributed systems, large-scale build and test systems, or comparable systems software.
- Hands-on experience debugging complex performance or reliability issues across software and hardware boundaries using logs, metrics, traces, profiling, and experiments.
- Proficiency in a systems programming or automation language and experience delivering tested changes into production infrastructure.
- In-depth experience with Linux and proficiency in one or more of these fields: GPU systems and drivers, scheduling and resource management, remote execution or CI infrastructure, storage and data paths, or host and container infrastructure.
- Ability to work across teams with different component ownership, turn ambiguous symptoms into a clear technical plan, and explain results to engineering customers.
- A degree in computer science, computer engineering, or a related field, or equivalent experience.
PREFERRED QUALIFICATIONS
- Experience with GPU sharing and isolation, CUDA execution behavior, MIG or MPS or equivalent experience, GPU driver diagnostics, or high-performance computing workloads.
- Experience with workload placement, CPU and GPU concurrency, NUMA, cloud-instance benchmarking, or cost and performance tradeoffs.
- Familiarity with Bazel, remote execution, build front ends, simulation or replay workloads, and hardware-in-the-loop validation.
- Experience improving file-system, caching, networking, or high-throughput data paths under concurrent workloads.
- A record of building customer self-service or observability tools and using incident and retry data to drive verified reliability improvements.
COMPENSATION
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
- You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 23, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.
INTRODUCTION
NVIDIA is seeking a senior systems software engineer to help engineering teams run demanding build, simulation, and validation workloads efficiently and reliably. Our Workload Systems Engineering team connects customer workflows with the infrastructure that performs them. We develop self-service mechanisms and clear diagnostics, investigate performance and reliability across system boundaries, and deliver measured infrastructure improvements with the teams that own the underlying components.
ROLE AND RESPONSIBILITIES
Your responsibilities include enabling application configuration, remote execution, workers, hosts, GPU and CPU resources, storage, data paths, and on-target systems. The position requires direct system evaluation: diagnosing causes of slow or failing workloads, trying alternatives in representative scenarios, applying improvements with others, and verifying customer advantages.
What you'll be doing:
- Build shared self-service and validation mechanisms that let engineering teams configure and use supported infrastructure workflows with less manual assistance.
- Give customers and on-call teams useful diagnostic views across application, submission, remote-execution, and host or target layers so they can identify where failures and slowdowns originate.
- Set performance and reliability benchmarks for representative workloads. Apply profiling, metrics, traces, and controlled experiments to pinpoint the changes that make a difference.
- Evaluate and improve compute and GPU selection, scheduling and placement, concurrency, worker and runner configuration, resource sharing, caching, and input/output paths.
- Make retry causes, recovery outcomes, and wasted execution capacity visible. Work with component owners to eliminate recurring failures and unnecessary re-execution.
- Implement and validate infrastructure-level changes with application, build and CI, remote-execution, and infrastructure teams. Measure the effect on turnaround, successful efficiency, stability, usable capacity, and cost.
- Turn successful investigations into supported workflows, diagnostics, documentation, and clear customer handoffs.
BASIC QUALIFICATIONS
- Over 8 years of solid software engineering experience working with production compute infrastructure, distributed systems, large-scale build and test systems, or comparable systems software.
- Hands-on experience debugging complex performance or reliability issues across software and hardware boundaries using logs, metrics, traces, profiling, and experiments.
- Proficiency in a systems programming or automation language and experience delivering tested changes into production infrastructure.
- In-depth experience with Linux and proficiency in one or more of these fields: GPU systems and drivers, scheduling and resource management, remote execution or CI infrastructure, storage and data paths, or host and container infrastructure.
- Ability to work across teams with different component ownership, turn ambiguous symptoms into a clear technical plan, and explain results to engineering customers.
- A degree in computer science, computer engineering, or a related field, or equivalent experience.
PREFERRED QUALIFICATIONS
- Experience with GPU sharing and isolation, CUDA execution behavior, MIG or MPS or equivalent experience, GPU driver diagnostics, or high-performance computing workloads.
- Experience with workload placement, CPU and GPU concurrency, NUMA, cloud-instance benchmarking, or cost and performance tradeoffs.
- Familiarity with Bazel, remote execution, build front ends, simulation or replay workloads, and hardware-in-the-loop validation.
- Experience improving file-system, caching, networking, or high-throughput data paths under concurrent workloads.
- A record of building customer self-service or observability tools and using incident and retry data to drive verified reliability improvements.
COMPENSATION
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
- You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 23, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.
Software Systems Engineer Job Roles in California
See all 64+ Software Systems Engineer Jobs in California
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Search Software Systems Engineer Jobs in CaliforniaSoftware Systems Engineer Jobs in California: Frequently Asked Questions
Which companies sponsor visas for software systems engineers in California?
Large tech employers including Google, Apple, Meta, and Cisco have established sponsorship programs for software systems engineers in California. Defense and aerospace contractors like Northrop Grumman, Raytheon, and Lockheed Martin also sponsor, though some roles require security clearances that limit eligibility for foreign nationals. Mid-size software firms and semiconductor companies across Silicon Valley and San Diego also file sponsorship petitions regularly.
Which visa types are most common for software systems engineer roles in California?
The H-1B visa is the most common visa category for software systems engineers in California, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, systems engineering, or a related field. L-1B visas appear when engineers transfer within a multinational company. O-1A is an option for engineers with an exceptional record of publications, patents, or industry recognition.
Which cities in California have the most software systems engineer sponsorship jobs?
The San Francisco Bay Area, including San Jose, Sunnyvale, Santa Clara, and Mountain View, accounts for the largest share of software systems engineer sponsorship positions in California. Los Angeles has a growing cluster driven by aerospace, entertainment technology, and startups. San Diego is a strong market for systems engineers in defense, wireless communications, and biotech, anchored by companies like Qualcomm and General Atomics.
How to find software systems engineer visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find software systems engineer roles in California without sorting through positions that don't offer sponsorship. You can narrow results by location, employer type, and experience level. Because California has a high volume of sponsoring employers, new sponsorship postings appear frequently, so checking Migrate Mate regularly improves your chances of applying early.
Are there any California-specific considerations for software systems engineers seeking visa sponsorship?
California's prevailing wage requirements under Department of Labor rules apply to H-1B petitions filed in the state, and Bay Area wage levels are among the highest in the country, which affects what employers must pay sponsored engineers. California universities including UC Berkeley, Stanford, and UCLA produce a significant pipeline of OPT-eligible engineers that many local employers actively recruit, meaning some companies have experience managing the sponsorship process from OPT through H-1B.
What is the prevailing wage for sponsored software systems engineer jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.