Join NVIDIA’s Hyperscale Engineering team to develop networking solutions for large-scale AI infrastructure. You will work with customers and engineering teams to build, integrate, and improve software for BlueField and ConnectX platforms.
Your work will span software development, system integration, troubleshooting, and performance analysis, helping customers move from initial testing to production deployment.
What you’ll be doing:
- Work with customers to understand their networking requirements and develop technical solutions.
- Develop and integrate networking software for BlueField and ConnectX platforms.
- Test and optimize RDMA and RoCE solutions for performance and reliability.
- Investigate issues across applications, networking libraries, drivers, firmware, and switches.
- Analyze packet drops, congestion, latency, and throughput to identify problems and recommend improvements.
- Create test cases and automation to reproduce issues, validate fixes, and measure performance.
- Collaborate with software, firmware, architecture, and product teams throughout development and deployment.
- Document findings and communicate progress, technical decisions, and next steps.
What we need to see:
- A degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent practical experience.
- 8+ years of relevant software or systems engineering experience.
- Experience programming in C and developing or debugging software on Linux.
- Knowledge of networking protocols and experience with RDMA, RoCE, or other high-performance networking technologies.
- Experience investigating technical issues and evaluating possible solutions.
- Clear communication skills and the ability to work with customers and colleagues across teams.
- An interest in learning new technologies and sharing knowledge.
Ways to stand out from the crowd:
- Experience with BlueField, ConnectX, DOCA, DPDK, or RDMA verbs.
- Knowledge of congestion control, QoS, PFC, or ECN.
- Familiarity with AI workloads, NCCL, or CUDA.
- Experience testing or deploying networking solutions at scale.
- Python or shell scripting experience for diagnostics and automation.
You will also be eligible for equity and benefits.
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.Skills Required
- Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent practical experience
- 8+ years of relevant software or systems engineering experience
- Experience programming in C
- Experience developing or debugging software on Linux
- Knowledge of networking protocols
- Experience with RDMA, RoCE, or other high-performance networking technologies
- Experience investigating technical issues and evaluating possible solutions
- Clear communication skills and ability to work with customers and cross-functional colleagues
- Interest in learning new technologies and sharing knowledge
- Experience with BlueField, ConnectX, DOCA, DPDK, or RDMA verbs
- Knowledge of congestion control, QoS, PFC, or ECN
- Familiarity with AI workloads, NCCL, or CUDA
- Experience testing or deploying networking solutions at scale
- Python or shell scripting experience for diagnostics and automation
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.
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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.
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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.
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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.”
