NVIDIA is building the world’s most sophisticated AI computing platforms, powering breakthroughs in generative AI, large language models, and scientific discovery. Our accelerated computing technologies enable researchers, engineers, and enterprises to push the boundaries of what is possible with artificial intelligence.
We are seeking a senior researcher to join us to explore new ideas at the intersection of RDMA, transport, algorithms, hardware and software, shaping the networking technologies behind the next generation of AI! We’re excited to learn from your perspective and work together to turn research into improvements that matter.
In this role, you will join a group of researchers advancing innovation with deep technical knowledge, analysis, and comprehensive systems thinking. You will collaborate and learn with top architects and researchers responsible for some of NVIDIA’s most advanced networking technologies. Our insights directly affect NVIDIA's develop of products, from micro-architectural choices to applications and software libraries. This role suits researchers who can progress from identifying an application-level bottleneck, through transport and algorithm design, down to NIC microarchitecture and then confirm if the proposed solution delivers measurable system-level value.
What you’ll be doing:
- Conduct innovative research and analysis for the RDMA NIC & Transport Research group. Your research insights will build NVIDIA solutions and help drive innovation across the entire stack:
- Develop deep expertise across NVIDIA’s RDMA and transport architecture.
- Identify architectural gaps, opportunities, and competitive advantages.
- Form research hypotheses and rigorously validate them through modeling/simulation/experimentation.
- Translate findings into product proposals.
What we need to see:
- B.Sc. or M.Sc. in Electrical Engineering, Computer Science, Computer Engineering.
- 4+ years of relevant experience
- Demonstrated experience bridging across fields and contributing verifiable system-wide improvements.
- A track record handling engineering trade-offs across product research and time-to-market.
- Experience in programming and debugging within a production-scale software environment.
- Excellent interpersonal skills, with the ability to present sophisticated technical findings clearly to domain experts and non-experts.
Ways to stand out from the crowd:
- Deep expertise in one or more networking domains, such as RDMA transport protocols, congestion control, multipath/load-balancing algorithms, NIC microarchitecture, collective communication and NCCL, rank placement, network topology, or AI training/inference communication.
- PhD or equivalent experience in engineering, or a proven history of significant research work.
- A drive for impact.
We are an equal opportunity employer and value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability. We provide reasonable accommodations for individuals with disabilities throughout the application and employment process.
Skills Required
- B.Sc. or M.Sc. in Electrical Engineering, Computer Science, or Computer Engineering
- 4+ years of relevant experience
- Demonstrated experience bridging across fields and contributing verifiable system-wide improvements
- Experience handling engineering trade-offs across product research and time-to-market
- Experience programming and debugging within a production-scale software environment
- Excellent interpersonal skills and ability to present sophisticated technical findings clearly to technical and non-technical audiences
- Deep expertise in one or more networking domains, such as RDMA transport protocols, congestion control, multipath or load-balancing algorithms, NIC microarchitecture, collective communication, NCCL, network topology, or AI communication
- PhD or equivalent engineering experience, or a proven history of significant research work
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
