Senior Software Engineering Jobs at NVIDIA with Visa Sponsorship
Senior Software Engineering jobs at NVIDIA sit at the intersection of GPU architecture, AI infrastructure, and large-scale systems work. NVIDIA has a well-established sponsorship process for this function, supporting candidates through H-1B visa, E-3 visa, and employment-based Green Card pathways.
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Get Access To All JobsINTRODUCTION
JAX is the framework of choice for the most ambitious AI research, and the datacenters it runs on are evolving fast. NVIDIA supercomputers are becoming more heterogeneous combining GPUs, CPUs, and LPUs, and JAX needs to evolve to perform well across all of them. NVIDIA seeks a Senior Engineering Manager to define and drive NVIDIA's JAX strategy, coordinating multiple teams and workstreams to ensure JAX delivers peak performance across the platform, from single-accelerator workloads to hundreds of thousands of devices on the largest supercomputers ever built. A critical part of this role is ensuring JAX is ready on next-generation architectures, including Rubin Ultra, LPUs, and the CPUs that drive them, from day one. Doing that well requires keeping up with where AI is heading. This means supporting emerging needs across training, post-training, inference, and robotics, bridging new hardware capabilities with AI trends. Come join us to build the team and technology behind the next AI breakthroughs.
ROLE AND RESPONSIBILITIES
What You Will Be Doing
- Drive the engineering contribution strategy across the JAX ecosystem stack — including JAX core, XLA, Shardy, MPMD, and application-level codebases like MaxText — prioritizing where NVIDIA's contributions create maximum impact on performance, adoption, and ecosystem influence
- Promote teamwork across organizational boundaries to shape NVIDIA's AI platform across compiler (XLA, TileIR, CUDA), runtime, networking, and hardware teams
- Build deep partnerships with key open-source projects, especially Google's JAX team — supporting our partners while representing NVIDIA's interests in shaping the project's direction
- Design processes and define clear success criteria to keep teams aligned to outcomes
- Build staffing plans, review team capacity, and make strategic hiring decisions to stay ahead of current and future needs
- Lead, grow, and mentor a high-performing engineering organization — developing technical leaders and creating space for your team to experiment, prototype, and build innovative systems that improve products and processes
BASIC QUALIFICATIONS
What We Need To See
- MS or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience)
- 10+ overall years of software engineering experience, with 4+ years in engineering management or technical leadership
- Strong technical background in system software, compilers, high-performance computing, or AI frameworks
- Proven experience leading domain-level strategy and projects that span organizational boundaries, building consensus, influencing without direct authority, and tailoring communication to the audience from engineers to executives
- Track record of owning outcomes across multiple projects and teams, balancing trade-offs, and driving progress with incomplete information
- Experience identifying development cycle gaps and defining workflows across teams and organizations to improve efficiency
- Experience leading teams that contribute to large-scale projects with external collaborators
PREFERRED QUALIFICATIONS
Ways To Stand Out From The Crowd
- Hands-on experience with JAX and its systems like XLA, HLO, PJRT, Shardy, or JAX's tracing and transformation system
- Experience leading teams working on compiler or runtime infrastructure for deep learning frameworks (JAX, PyTorch, TensorFlow or equivalent)
- Familiarity with NVIDIA's AI platform components: GPU programming, CUDA, cuDNN, NCCL, TensorRT, Transformer Engine and heterogeneous compute targets (GPU, CPU, LPU)
- Experience driving performance optimization efforts for large-scale distributed AI training, post-training (RLHF, alignment), inference, or robotics workloads (multi-node, multi-GPU)
- Experience driving framework or software bring-up on new hardware architectures, coordinating across silicon, driver, compiler, and framework teams
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 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until April 10, 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.
JR2015536
INTRODUCTION
JAX is the framework of choice for the most ambitious AI research, and the datacenters it runs on are evolving fast. NVIDIA supercomputers are becoming more heterogeneous combining GPUs, CPUs, and LPUs, and JAX needs to evolve to perform well across all of them. NVIDIA seeks a Senior Engineering Manager to define and drive NVIDIA's JAX strategy, coordinating multiple teams and workstreams to ensure JAX delivers peak performance across the platform, from single-accelerator workloads to hundreds of thousands of devices on the largest supercomputers ever built. A critical part of this role is ensuring JAX is ready on next-generation architectures, including Rubin Ultra, LPUs, and the CPUs that drive them, from day one. Doing that well requires keeping up with where AI is heading. This means supporting emerging needs across training, post-training, inference, and robotics, bridging new hardware capabilities with AI trends. Come join us to build the team and technology behind the next AI breakthroughs.
ROLE AND RESPONSIBILITIES
What You Will Be Doing
- Drive the engineering contribution strategy across the JAX ecosystem stack — including JAX core, XLA, Shardy, MPMD, and application-level codebases like MaxText — prioritizing where NVIDIA's contributions create maximum impact on performance, adoption, and ecosystem influence
- Promote teamwork across organizational boundaries to shape NVIDIA's AI platform across compiler (XLA, TileIR, CUDA), runtime, networking, and hardware teams
- Build deep partnerships with key open-source projects, especially Google's JAX team — supporting our partners while representing NVIDIA's interests in shaping the project's direction
- Design processes and define clear success criteria to keep teams aligned to outcomes
- Build staffing plans, review team capacity, and make strategic hiring decisions to stay ahead of current and future needs
- Lead, grow, and mentor a high-performing engineering organization — developing technical leaders and creating space for your team to experiment, prototype, and build innovative systems that improve products and processes
BASIC QUALIFICATIONS
What We Need To See
- MS or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience)
- 10+ overall years of software engineering experience, with 4+ years in engineering management or technical leadership
- Strong technical background in system software, compilers, high-performance computing, or AI frameworks
- Proven experience leading domain-level strategy and projects that span organizational boundaries, building consensus, influencing without direct authority, and tailoring communication to the audience from engineers to executives
- Track record of owning outcomes across multiple projects and teams, balancing trade-offs, and driving progress with incomplete information
- Experience identifying development cycle gaps and defining workflows across teams and organizations to improve efficiency
- Experience leading teams that contribute to large-scale projects with external collaborators
PREFERRED QUALIFICATIONS
Ways To Stand Out From The Crowd
- Hands-on experience with JAX and its systems like XLA, HLO, PJRT, Shardy, or JAX's tracing and transformation system
- Experience leading teams working on compiler or runtime infrastructure for deep learning frameworks (JAX, PyTorch, TensorFlow or equivalent)
- Familiarity with NVIDIA's AI platform components: GPU programming, CUDA, cuDNN, NCCL, TensorRT, Transformer Engine and heterogeneous compute targets (GPU, CPU, LPU)
- Experience driving performance optimization efforts for large-scale distributed AI training, post-training (RLHF, alignment), inference, or robotics workloads (multi-node, multi-GPU)
- Experience driving framework or software bring-up on new hardware architectures, coordinating across silicon, driver, compiler, and framework teams
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 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until April 10, 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.
JR2015536
See all Senior Software Engineering Jobs at NVIDIA
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Get Access To All JobsTips for Finding Senior Software Engineering Jobs at NVIDIA
Align your portfolio to GPU-driven work
NVIDIA's engineering hiring centers on CUDA, parallel computing, and AI/ML systems. Before applying, make sure your resume and GitHub reflect direct experience with GPU programming or high-performance computing, not just general software engineering.
Target teams that consistently sponsor
NVIDIA sponsors across divisions, but teams working on driver software, deep learning frameworks, and cloud infrastructure hire internationally at higher rates. Research which product lines your specialization maps to and target those job postings directly.
Clarify your visa category early in interviews
NVIDIA sponsors H-1B, E-3, and Green Card pathways, but each has different employer obligations. If you're Australian, ask specifically about E-3 eligibility during recruiter screening. It avoids H-1B lottery dependency and can accelerate your start date significantly.
Prepare for a lengthy PERM timeline if needed
If your path to permanent residence runs through PERM labor certification, DOL processing can take a year or more before USCIS ever sees your I-140. Factor this into your timeline when evaluating an NVIDIA offer alongside your current visa status.
Use Migrate Mate to filter open roles by sponsorship type
Not every NVIDIA job listing signals which visa categories are on the table. Migrate Mate filters Senior Software Engineering roles at NVIDIA by the sponsorship types they actively support, so you spend time on applications where you're actually eligible.
Negotiate your start date around H-1B cap dates
If you're entering on a new H-1B, USCIS cap-subject approvals have an October 1 start date. Discuss this constraint with your NVIDIA recruiter early so your offer letter and onboarding plan account for the gap between acceptance and authorized employment.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Senior Software Engineers?
Yes, NVIDIA sponsors H-1B visas for Senior Software Engineering roles. The company files petitions through the standard USCIS cap process, including the annual April lottery window. If you're already in H-1B status with another employer, NVIDIA can also file an H-1B transfer, which lets you start without waiting for a new cap cycle.
Which visa types does NVIDIA commonly use for Senior Software Engineering roles?
NVIDIA sponsors H-1B visas for most international hires in this role. Australian citizens can pursue the E-3, which has no lottery and allows two-year renewable periods. For longer-term pathways, NVIDIA supports EB-2 and EB-3 Green Card sponsorship, typically through the PERM labor certification process filed with the DOL.
What qualifications does NVIDIA expect for Senior Software Engineering positions?
Most Senior Software Engineering roles at NVIDIA require a bachelor's degree or higher in computer science, electrical engineering, or a closely related field. Practical experience with GPU architectures, CUDA, C++, or AI/ML frameworks carries significant weight in their hiring process. Roles in driver development or compiler engineering often require deeper systems-level expertise.
How do I apply for Senior Software Engineering jobs at NVIDIA?
You can browse and apply for Senior Software Engineering positions at NVIDIA through Migrate Mate, which filters roles by visa sponsorship type so you can confirm your category is supported before applying. Applications go through NVIDIA's careers portal, where you'll match against specific team needs. Tailoring your resume to the technical stack listed in each job description improves your chances of clearing the initial screening.
How long does the visa sponsorship process take after receiving an NVIDIA offer?
Timeline depends on your visa type. An H-1B transfer from an existing employer can take two to four months with USCIS standard processing, or faster with premium processing. A new cap-subject H-1B means waiting for the October 1 start date. E-3 consular processing in Australia typically runs two to six weeks from interview. PERM-based Green Card sponsorship adds a year or more before reaching the I-140 stage.