Senior Deep Learning Algorithm Engineer
| Company | NVIDIA |
|---|---|
| Location | Santa Clara, CA, USA |
| Salary | $184000 – $356500 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- BS, MS, PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience)
- 8+ years of experience in deep learning and deep learning systems design
- Proficiency in Python and C++ programming
- Strong understanding of computer architecture, and GPU/parallel datacenter computing fundamentals
- Proven interest in analyzing, modeling, and tuning application performance
Responsibilities
- Explore and incorporate contemporary research on generative AI, agents, and inference systems into the NVIDIA LLM software stack
- Conduct in-depth analysis, profiling, and optimization of agentic LLM workloads to significantly reduce request latency and increase request throughput while maintaining workflow fidelity
- Design and implement scalable systems to accelerate agentic workflows and efficiently handle sophisticated datacenter-scale use cases
- Advise future iterations of NVIDIA software, hardware, and system by engaging with a diverse set of teams at NVIDIA and external partners and formalizing the strategic requirements presented by their workloads
Preferred Qualifications
- Experience in building large-scale LLM inference systems, especially those involving compound AI
- Experience with processor and system-level performance modeling
- GPU programming experience with CUDA or OpenCL