Software Developer Jobs at NVIDIA with Visa Sponsorship
Software Developer jobs at NVIDIA span GPU architecture, AI frameworks, driver development, and systems programming at the intersection of hardware and software. NVIDIA has an established track record of sponsoring international engineers across multiple visa categories, making it a realistic target for skilled developers pursuing U.S. work authorization.
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Get Access To All JobsINTRODUCTION
NVIDIA is seeking a senior software engineer to help build and scale evaluation and analysis infrastructure for Autonomous Vehicle development. This role sits at the intersection of AV tooling, distributed systems, data platforms, and developer efficiency. You will develop and enhance systems that allow AV engineers to run AV log data analysis, assess model behavior, debug regressions, and produce critical metrics and insights at scale.
This engineer should be able to operate independently, partner deeply with senior technical leads, and bring clarity to complex platform decisions spanning evaluator execution at high-scale, performance tunings, structured outputs and output schema evolution, observability, and production readiness. This role directly improves how AV engineers examine autonomous driving performance, analyze regressions, validate analyzers, and trust the results produced by NVIDIA’s AV infrastructure. The ideal candidate will help make evaluation workflows faster, safer, more observable, and easier for teams to adopt.
ROLE AND RESPONSIBILITIES:
- Design and build evaluation and analysis tooling used by AV and ML engineers.
- Improve analyzer workflows, including onboarding, execution, qualification, and production observability.
- Build reliable services, APIs, CI pipelines, and UI-facing workflows across the stack.
- Define and evolve data contracts for analyzer outputs, including structured schemas, tabular data, time-series data, and metadata.
- Improve system stability, performance, traceability, alerting, and operational debuggability for high-scale workloads.
- Partner with AV engineering, data platform, infrastructure, and product teams to deliver end-to-end user workflows.
- Establish guardrails for analyzer rollout, including pre-merge validation, output-size controls, runtime/memory metrics, and production monitoring.
BASIC QUALIFICATIONS:
- BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
- 12+ years of software engineering experience building production systems, developer tools, data platforms, or evaluation infrastructure.
- Strong programming skills in Python, Go, or similar languages.
- Experience designing distributed systems, workflow orchestration, APIs, backend services, or data pipelines.
- Ability to reason across systems software, data schemas, backend services, and user-facing tooling.
- Experience collaborating across teams and driving ambiguous technical work to completion.
- Ability to balance new feature development with production stability, maintainability, and user support, while demonstrating agility and adaptability in a fast paced environment.
- Experience with Protobuf, Parquet, schema evolution, data contracts, and large-scale analytical storage.
PREFERRED QUALIFICATIONS:
- Background with self-driving car development, simulation, evaluation, or analysis workflows.
- Experience with observability, performance profiling, resource usage analysis, and production reliability.
- Experience improving legacy systems through incremental migration, deprecation, and architecture cleanup.
COMPENSATION
- Base Salary Range: 224,000 USD - 356,500 USD
- You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 26, 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 software engineer to help build and scale evaluation and analysis infrastructure for Autonomous Vehicle development. This role sits at the intersection of AV tooling, distributed systems, data platforms, and developer efficiency. You will develop and enhance systems that allow AV engineers to run AV log data analysis, assess model behavior, debug regressions, and produce critical metrics and insights at scale.
This engineer should be able to operate independently, partner deeply with senior technical leads, and bring clarity to complex platform decisions spanning evaluator execution at high-scale, performance tunings, structured outputs and output schema evolution, observability, and production readiness. This role directly improves how AV engineers examine autonomous driving performance, analyze regressions, validate analyzers, and trust the results produced by NVIDIA’s AV infrastructure. The ideal candidate will help make evaluation workflows faster, safer, more observable, and easier for teams to adopt.
ROLE AND RESPONSIBILITIES:
- Design and build evaluation and analysis tooling used by AV and ML engineers.
- Improve analyzer workflows, including onboarding, execution, qualification, and production observability.
- Build reliable services, APIs, CI pipelines, and UI-facing workflows across the stack.
- Define and evolve data contracts for analyzer outputs, including structured schemas, tabular data, time-series data, and metadata.
- Improve system stability, performance, traceability, alerting, and operational debuggability for high-scale workloads.
- Partner with AV engineering, data platform, infrastructure, and product teams to deliver end-to-end user workflows.
- Establish guardrails for analyzer rollout, including pre-merge validation, output-size controls, runtime/memory metrics, and production monitoring.
BASIC QUALIFICATIONS:
- BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
- 12+ years of software engineering experience building production systems, developer tools, data platforms, or evaluation infrastructure.
- Strong programming skills in Python, Go, or similar languages.
- Experience designing distributed systems, workflow orchestration, APIs, backend services, or data pipelines.
- Ability to reason across systems software, data schemas, backend services, and user-facing tooling.
- Experience collaborating across teams and driving ambiguous technical work to completion.
- Ability to balance new feature development with production stability, maintainability, and user support, while demonstrating agility and adaptability in a fast paced environment.
- Experience with Protobuf, Parquet, schema evolution, data contracts, and large-scale analytical storage.
PREFERRED QUALIFICATIONS:
- Background with self-driving car development, simulation, evaluation, or analysis workflows.
- Experience with observability, performance profiling, resource usage analysis, and production reliability.
- Experience improving legacy systems through incremental migration, deprecation, and architecture cleanup.
COMPENSATION
- Base Salary Range: 224,000 USD - 356,500 USD
- You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 26, 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.
See all 70+ Software Developer Jobs at NVIDIA
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Get Access To All JobsTips for Finding Software Developer Jobs at NVIDIA
Align your portfolio to NVIDIA's technical stack
NVIDIA's Software Developer hiring centers on CUDA, parallel computing, graphics pipelines, and AI/ML frameworks like TensorRT. Showcasing projects or contributions in these areas signals immediate fit and reduces the friction that can slow sponsorship conversations.
Confirm your degree field before applying
H-1B specialty occupation requires a degree in a directly related field. Computer science, electrical engineering, and software engineering align cleanly. A degree in an adjacent field may trigger a Request for Evidence, so assess your situation before the offer stage.
Target roles that cross hardware and software boundaries
NVIDIA consistently hires software engineers who work at the interface of firmware, drivers, and GPU hardware. These roles are harder to fill domestically, which means hiring managers have more motivation to support a sponsorship-dependent candidate through the process.
Understand how NVIDIA's internal teams file H-1B petitions
Large employers like NVIDIA typically file H-1B petitions through in-house immigration teams. Once you have an offer, ask whether the team uses premium processing, as the standard track can extend your wait well beyond the H-1B cap start date of October 1.
Use Migrate Mate to filter Software Developer openings by visa type
Not every NVIDIA listing is open to sponsored candidates. Use Migrate Mate to filter Software Developer roles at NVIDIA specifically by H-1B or E-3 sponsorship, so you're only applying where your visa situation is already accounted for.
Prepare your credential documentation before the offer arrives
NVIDIA's immigration process moves quickly after an offer. Have your transcripts, any foreign degree evaluations, and prior visa approvals or I-94 records organized in advance so your attorney or HR contact can initiate the LCA filing with the DOL without delays.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Software Developers?
Yes, NVIDIA sponsors H-1B visas for Software Developer roles. NVIDIA participates in the annual H-1B cap lottery each April and also files cap-exempt petitions where applicable. Once you receive an offer, NVIDIA's internal immigration team coordinates the Labor Condition Application with the DOL and the I-129 petition with USCIS. Confirming your role's eligibility early in the offer process is the best way to avoid surprises.
How do I apply for Software Developer jobs at NVIDIA?
Applications go through NVIDIA's careers portal, where roles are listed by team and location. For sponsored positions specifically, Migrate Mate filters NVIDIA's Software Developer openings by visa type so you can identify which listings are open to H-1B or E-3 visa candidates before applying. Tailoring your resume to NVIDIA's technical focus areas, particularly GPU computing, AI frameworks, and systems software, improves your chances of clearing the initial screening.
Which visa types does NVIDIA commonly use for Software Developer roles?
NVIDIA sponsors H-1B visas most frequently for Software Developers, given the role's specialty occupation classification. Australian citizens may be eligible for the E-3 visa, which bypasses the H-1B lottery entirely and allows two-year renewable status. For permanent residence, NVIDIA uses the EB-2 and EB-3 categories, typically through the PERM labor certification process filed with the DOL.
What qualifications does NVIDIA expect for sponsored Software Developer roles?
NVIDIA's Software Developer roles typically require a bachelor's degree or higher in computer science, electrical engineering, or a closely related field, which also satisfies the H-1B specialty occupation standard. Beyond credentials, NVIDIA looks for depth in areas like CUDA programming, parallel systems, graphics APIs, or AI inference optimization. Candidates with experience contributing to open-source projects or published research in these areas tend to move through screening faster.
How do I understand the timeline for NVIDIA's H-1B sponsorship process?
The H-1B process has fixed milestones: USCIS opens registration in March, the lottery runs in late March, and approved petitions can be filed from April 1 for an October 1 start date. If you're already in valid H-1B status with another employer, NVIDIA can file a transfer petition outside the cap, meaning work can begin much sooner. Confirm with your NVIDIA contact whether premium processing, which reduces USCIS adjudication to 15 business days, is available for your petition.