NVIDIA is seeking a Senior Deep Learning Algorithms Engineer to advance Dynamo, our open-source distributed inference platform for large-scale, low-latency AI services. You’ll lead architecture and performance work across Dynamo and open source frameworks. You’ll collaborate across research, software, systems, and hardware teams to make AI inference faster, more efficient, and easier to deploy. You’ll engage with the broader ecosystem, including vLLM, SGLang, and TensorRT-LLM as well as with external partners to build the best operating system for AI. If you’re excited by deep learning, performance engineering, and distributed systems, we’d love to hear from you.
What you'll be doing:
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.
What we need to see:
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
Ways to stand out from the crowd:
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
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
- BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, or 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
- Experience with AI accelerators
- Open-source contributions or leadership
- Research experience in ML inference or distributed systems
- High agency and track record of leading ambiguous work end-to-end
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.”
