Senior Deep Learning Algorithm Engineer

- Design, build, and maintain Dynamo integrations for open source frameworks vLLM, SGLang, TRTLLM.

- Partner with open source communities to land measurable gains in latency, throughput, reliability, and efficiency.

- Showcase NVIDIA token/watt leadership by pushing the pareto frontier on public/private benchmarks

- Find and remove bottlenecks across runtimes, kernels, networking, routing, and orchestration.

- Develop inference optimizations for scheduling, disaggregation, KV caching, and autoscaling.

- BS, MS, PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience).

- 3+ years building, profiling, and debugging performance-critical distributed or ML systems.

- Strong programming skills in Python and/or Rust, C++.

- Understanding of modern ML architectures and inference techniques

- High agency and a track record of leading ambiguous work end to end.

- Experience with AI Accelerators

- Open-source contributions / leadership

- Research in ML inference or distributed systems.

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 in the world working for us. If you're creative and autonomous, we want to hear from you!

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until August 9, 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.