Engineering Manager Jobs at NVIDIA with Visa Sponsorship
NVIDIA engineering managers lead hardware, software, and AI infrastructure teams building technology used across the GPU and accelerated computing space. NVIDIA has a well-established track record of sponsoring work visas for engineering leadership roles, including H-1B and E-3, making it a realistic target for international candidates in this function.
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INTRODUCTION
We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver communication libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. DL and HPC applications have a huge compute demand already and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes.
Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! We are looking for a technical leader to manage our NVSHMEM and UCX libraries. This is an outstanding opportunity to push the limits on the state-of-the-art and deliver platforms the world has never seen before. Are you ready to contribute to the development of innovative technologies and help realize NVIDIA's vision?
ROLE AND RESPONSIBILITIES
What you will be doing:
- Lead, mentor, and grow your library engineering team and be responsible for the planning and execution of projects as well as the quality, and performance of your libraries.
- This is a technical leadership role so you will participate in feature design and implementation.
- Interact with internal and external partners and researchers to understand their use cases and requirements. Collaborate with engineering teams, program and product management, and partners to define the product roadmap.
- Continuously review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are executing in the most efficient and transparent manner.
BASIC QUALIFICATIONS
What we need to see:
- 10+ overall years of experience in the software industry with specialization in HPC networking or system software.
- 4+ years of management experience.
- BS, MS, or Ph.D. in CS, CE, EE (related technical field) or equivalent experience.
- Prior systems software or communication runtime or high performance networking software development experience with a successful track record of taking several complex software features or products through the full product life cycle.
- Strong understanding of computer system architecture, operating systems principles (aka systems software fundamentals), HW-SW interactions and performance analysis/optimizations.
- Excellent C/C++ programming and debugging skills in Linux.
- Experience balancing multiple projects with competing priorities.
- Flexibility to work and communicate effectively across different teams and timezones.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC). Experience with programming using CUDA, MPI, OpenMP, OpenACC, pthreads.
- Background with RDMA, high-performance networking technologies (InfiniBand, RoCE, Ethernet, EFA), network architecture and network topologies. Knowledge of HPC and ML/DL fundamentals.
- Experience with Deep Learning Frameworks such as PyTorch, TensorFlow, etc.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!
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 2, and 224,000 USD - 356,500 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 2, 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
We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver communication libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. DL and HPC applications have a huge compute demand already and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes.
Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! We are looking for a technical leader to manage our NVSHMEM and UCX libraries. This is an outstanding opportunity to push the limits on the state-of-the-art and deliver platforms the world has never seen before. Are you ready to contribute to the development of innovative technologies and help realize NVIDIA's vision?
ROLE AND RESPONSIBILITIES
What you will be doing:
- Lead, mentor, and grow your library engineering team and be responsible for the planning and execution of projects as well as the quality, and performance of your libraries.
- This is a technical leadership role so you will participate in feature design and implementation.
- Interact with internal and external partners and researchers to understand their use cases and requirements. Collaborate with engineering teams, program and product management, and partners to define the product roadmap.
- Continuously review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are executing in the most efficient and transparent manner.
BASIC QUALIFICATIONS
What we need to see:
- 10+ overall years of experience in the software industry with specialization in HPC networking or system software.
- 4+ years of management experience.
- BS, MS, or Ph.D. in CS, CE, EE (related technical field) or equivalent experience.
- Prior systems software or communication runtime or high performance networking software development experience with a successful track record of taking several complex software features or products through the full product life cycle.
- Strong understanding of computer system architecture, operating systems principles (aka systems software fundamentals), HW-SW interactions and performance analysis/optimizations.
- Excellent C/C++ programming and debugging skills in Linux.
- Experience balancing multiple projects with competing priorities.
- Flexibility to work and communicate effectively across different teams and timezones.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC). Experience with programming using CUDA, MPI, OpenMP, OpenACC, pthreads.
- Background with RDMA, high-performance networking technologies (InfiniBand, RoCE, Ethernet, EFA), network architecture and network topologies. Knowledge of HPC and ML/DL fundamentals.
- Experience with Deep Learning Frameworks such as PyTorch, TensorFlow, etc.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!
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 2, and 224,000 USD - 356,500 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 2, 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.
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Get Access To All JobsTips for Finding Engineering Manager Jobs at NVIDIA Jobs
Align your credentials to NVIDIA's leadership framework
NVIDIA's engineering manager roles consistently require demonstrated ownership of cross-functional technical roadmaps, not just people management. Before applying, document specific examples where you drove architecture decisions alongside your team, not just delivery.
Target NVIDIA teams with open headcount pipelines
NVIDIA hires engineering managers across GPU compute, networking, and AI platform divisions. Focus your outreach on divisions with multiple open IC roles beneath them, since those teams are actively building headcount and are more likely to have budget for a manager hire.
Understand how E-3 sponsorship works at NVIDIA
If you're an Australian citizen, the E-3 visa lets NVIDIA sponsor you without lottery risk. Your role must qualify as a specialty occupation under DOL definitions, which engineering manager positions at a company like NVIDIA routinely satisfy given the required technical degree and expertise.
Get your LCA timeline right before accepting an offer
NVIDIA must file a Labor Condition Application with the DOL before your H-1B or E-3 petition can move forward. The LCA typically takes seven to ten business days to certify. Factor this into your start date negotiation so you're not caught waiting after signing.
Use Migrate Mate to filter NVIDIA engineering manager openings
Finding roles that both match your experience level and explicitly support visa sponsorship takes time. Migrate Mate lets you filter NVIDIA's engineering manager listings by visa type so you can focus your applications on positions where sponsorship is confirmed.
Prepare for NVIDIA's technical depth expectations at the manager level
NVIDIA interviews engineering manager candidates on system design and technical judgment, not just people management style. Review GPU architecture fundamentals and be ready to discuss how you've made build-versus-buy decisions or resolved cross-team technical dependencies in past roles.
Engineering Manager at NVIDIA jobs are hiring across the US. Find yours.
Find Engineering Manager at NVIDIA JobsFrequently Asked Questions
Does NVIDIA sponsor H-1B visas for Engineering Managers?
Yes, NVIDIA sponsors H-1B visas for Engineering Manager roles. NVIDIA is a registered H-1B employer and has a consistent pattern of filing petitions for engineering leadership positions. Because the H-1B is subject to the annual cap and lottery, timing your offer and petition filing with NVIDIA's recruiting cycle matters. Premium processing is available to reduce USCIS adjudication time if your start date is time-sensitive.
How do I apply for Engineering Manager jobs at NVIDIA?
Apply directly through NVIDIA's careers portal, or use Migrate Mate to surface Engineering Manager openings at NVIDIA filtered by visa sponsorship type. NVIDIA's engineering manager hiring process typically includes a recruiter screen, a technical system design round, and a leadership interview panel. Tailoring your application to the specific product division, whether GPU compute, networking, or AI infrastructure, improves your chances of moving forward.
Which visa types does NVIDIA commonly use to sponsor Engineering Managers?
NVIDIA sponsors Engineering Managers through H-1B for most international candidates, E-3 for Australian citizens, and employment-based Green Card pathways such as EB-2 and EB-3 for longer-term sponsorship. E-3 is particularly efficient for Australians since it avoids the H-1B lottery entirely and can be renewed indefinitely in two-year increments while you remain employed at NVIDIA.
What qualifications does NVIDIA expect for an Engineering Manager role?
NVIDIA's Engineering Manager roles typically require a bachelor's or advanced degree in computer science, electrical engineering, or a closely related technical field, plus prior experience managing engineers building complex systems. Hands-on technical background in GPU computing, parallel processing, or AI infrastructure is common in job descriptions. Visa sponsorship for these roles is supported partly because the specialty occupation standard requires this level of technical credential.
How long does the visa sponsorship process take for an NVIDIA Engineering Manager role?
For H-1B, the full timeline from offer to work authorization depends on the lottery cycle, which opens in March for an October 1 start. Outside that window, cap-exempt or E-3 paths can move faster. Once NVIDIA files, standard USCIS processing takes several months, though premium processing can reduce adjudication to around 15 business days. Build at least two to three months into your planning between signed offer and confirmed start date.
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