Legal Jobs in California with Green Card Sponsorship
California hosts some of the most active Green Card sponsors in the legal industry, with major law firms including Latham & Watkins, Morrison Foerster, and Orrick headquartered or maintaining large offices in Los Angeles and San Francisco. The state's concentration of technology companies, financial institutions, and multinational corporations also drives steady demand for immigration-sponsored legal talent across practice areas.
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Get Access To All JobsINTRODUCTION
NVIDIA is seeking a highly motivated system software engineer with a strong bias toward security tooling, infrastructure, and quality to join the GPU Software team. In this role, you will design and build automation frameworks and services that enable secure GPU firmware development at scale—spanning fuzzing infrastructure, signing and chain-of-trust workflows, key management and derivation (including HSM integration), and regression testing automation. You'll partner closely with software engineers worldwide to maintain and scale our fuzzing infrastructure platform, deploy reliable security services and automation on modern infrastructure platforms (CI/CD, Kubernetes, and cloud environments), and promote AI technologies to improve developer experience and productivity across the GPU security toolchain.
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Maintain and scale fuzzing infrastructure, onboarding new fuzzers, optimizing coverage and performance, and collaborating cross-functionally with security, QA, and product teams to integrate fuzzing into development workflows.
- Design, develop, and integrate security infrastructure for GPU firmware signing, key management and derivation services, incorporating HSMs and collaborating with hardware and software engineers around the world.
- Evangelize and implement AI powered technologies and workflows to enhance developer experience, productivity, and code quality; exploring opportunities for AI assisted testing, code generation, and intelligent automation.
- Develop and automate regression testing platforms and tools to improve productivity, reliability, and coverage across GPU security components and workflows.
- Design, build, deploy, and monitor security automation frameworks and services (e.g., signing, key management, fuzzing automation), integrating with CI/CD pipelines and Kubernetes-based infrastructure.
- Build out design verification, simulation, quality, and developer workflow capabilities for the GPU Systems Software teams.
BASIC QUALIFICATIONS
What we need to see:
- BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience).
- 3+ years of relevant software tooling and infrastructure experience, especially with security or testing focus.
- Demonstrated hands-on technical background; strong scripting skills (Shell, Python) for automation, diagnostics, and workflow integration.
- Working knowledge of designing, deploying, operating, and maintaining CI/CD pipelines and jobs (e.g., build, test, signing, fuzzing, release promotion), including troubleshooting and reliability improvements.
- Relevant experience with tooling and infrastructure technologies like Docker, Kubernetes, Ansible, Jenkins, GitLab CI, Artifactory, SQL/NoSQL databases.
- Experience with at least one of: fuzzing technologies, cryptography, key management, firmware development, or embedded security.
- Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.).
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Hands-on experience with fuzzing frameworks and tools (AFL, libFuzzer, Syzkaller, or similar) and corpus management strategies.
- Experience integrating AI/ML technologies into developer workflows or productivity tools.
- Hands on experience with C, C++, Python, Rust.
- Familiarity with cryptography, security policies, chain of trust, key laddering, and HSMs.
- Experience with test automation frameworks, regression testing platforms, and continuous testing practices.
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 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 5, 2026.
This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
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.
INTRODUCTION
NVIDIA is seeking a highly motivated system software engineer with a strong bias toward security tooling, infrastructure, and quality to join the GPU Software team. In this role, you will design and build automation frameworks and services that enable secure GPU firmware development at scale—spanning fuzzing infrastructure, signing and chain-of-trust workflows, key management and derivation (including HSM integration), and regression testing automation. You'll partner closely with software engineers worldwide to maintain and scale our fuzzing infrastructure platform, deploy reliable security services and automation on modern infrastructure platforms (CI/CD, Kubernetes, and cloud environments), and promote AI technologies to improve developer experience and productivity across the GPU security toolchain.
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Maintain and scale fuzzing infrastructure, onboarding new fuzzers, optimizing coverage and performance, and collaborating cross-functionally with security, QA, and product teams to integrate fuzzing into development workflows.
- Design, develop, and integrate security infrastructure for GPU firmware signing, key management and derivation services, incorporating HSMs and collaborating with hardware and software engineers around the world.
- Evangelize and implement AI powered technologies and workflows to enhance developer experience, productivity, and code quality; exploring opportunities for AI assisted testing, code generation, and intelligent automation.
- Develop and automate regression testing platforms and tools to improve productivity, reliability, and coverage across GPU security components and workflows.
- Design, build, deploy, and monitor security automation frameworks and services (e.g., signing, key management, fuzzing automation), integrating with CI/CD pipelines and Kubernetes-based infrastructure.
- Build out design verification, simulation, quality, and developer workflow capabilities for the GPU Systems Software teams.
BASIC QUALIFICATIONS
What we need to see:
- BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience).
- 3+ years of relevant software tooling and infrastructure experience, especially with security or testing focus.
- Demonstrated hands-on technical background; strong scripting skills (Shell, Python) for automation, diagnostics, and workflow integration.
- Working knowledge of designing, deploying, operating, and maintaining CI/CD pipelines and jobs (e.g., build, test, signing, fuzzing, release promotion), including troubleshooting and reliability improvements.
- Relevant experience with tooling and infrastructure technologies like Docker, Kubernetes, Ansible, Jenkins, GitLab CI, Artifactory, SQL/NoSQL databases.
- Experience with at least one of: fuzzing technologies, cryptography, key management, firmware development, or embedded security.
- Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.).
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Hands-on experience with fuzzing frameworks and tools (AFL, libFuzzer, Syzkaller, or similar) and corpus management strategies.
- Experience integrating AI/ML technologies into developer workflows or productivity tools.
- Hands on experience with C, C++, Python, Rust.
- Familiarity with cryptography, security policies, chain of trust, key laddering, and HSMs.
- Experience with test automation frameworks, regression testing platforms, and continuous testing practices.
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 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 5, 2026.
This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
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.
Job Roles in Legal in California
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Get Access To All JobsFrequently Asked Questions
Which legal companies sponsor Green Card visas in California?
Large national and international law firms with California offices are among the most active Green Card sponsors in the legal sector, including firms like Latham & Watkins, Skadden, Arps, Slate, Meagher & Flom, and Gibson Dunn. In-house legal departments at major California-based technology companies such as Google, Apple, and Meta also regularly sponsor attorneys and legal professionals for permanent residence.
Which cities in California have the most legal Green Card sponsorship jobs?
San Francisco and Los Angeles account for the largest share of legal Green Card sponsorship activity in California. San Francisco's concentration of technology and venture-backed companies generates strong demand for in-house counsel, while Los Angeles supports a broad mix of entertainment, real estate, and litigation practices. San Diego and Silicon Valley also have notable legal hiring, particularly for patent and intellectual property roles tied to biotech and semiconductor industries.
What types of legal roles typically qualify for Green Card sponsorship in California?
Attorneys with specialized practice backgrounds are most commonly sponsored, particularly in intellectual property, corporate transactional work, securities, immigration, and litigation. Paralegals and legal operations professionals can qualify under employment-based categories if they meet specific education and experience requirements. Roles requiring bar admission in California or specialized expertise in technology law, entertainment law, or cross-border transactions attract the most consistent sponsorship activity from both law firms and in-house legal teams.
How do I find legal Green Card sponsorship jobs in California?
Migrate Mate is built specifically for international job seekers and filters legal jobs in California by Green Card sponsorship, so you're not manually screening hundreds of postings. The platform aggregates roles from law firms and in-house legal departments across the state, including positions in San Francisco, Los Angeles, and San Diego. Searching by visa type on Migrate Mate saves significant time compared to general job searches that don't surface sponsorship eligibility clearly.
Are there any California-specific considerations for Green Card sponsorship in the legal industry?
California's State Bar requires attorneys to pass the California Bar Examination regardless of where they were originally admitted, which affects foreign-trained lawyers pursuing in-house or firm roles. Employers sponsoring through the EB-2 or EB-3 categories must complete PERM labor certification, and California's competitive legal market means prevailing wage requirements are set at levels that reflect the state's high cost of living. Processing timelines for California-based petitions follow federal USCIS procedures and are not affected by state law.
What is the prevailing wage for Green Card legal 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.
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