- BS, MS, or equivalent experience in Computer Science, Computer Engineering, AI, or a related field, with 12+ years of relevant industry experience.
- Strong foundation in modern AI, including LLMs, multimodal models, inference, agentic AI, and evaluation.
- Deep expertise in software architecture, distributed systems, and large-scale systems design.
- Strong hands-on programming skills in Python, C++, Go, Rust, or similar languages, with a track record of building high-quality production software.
- Background building large-scale systems involving distributed execution, data processing/ETL, workflow orchestration, HPC, cloud, or GPU infrastructure.
- Ability to reason across the stack—from AI model behavior and application logic to runtime, compute, and infrastructure.
- Proven ability to take ambiguous, complex technical problems from architecture through implementation and production.
Ways to Stand Out from the Crowd
- Knowledge of LLM/VLM inference, model serving, model routing, or inference optimization.
- Background in AI evaluation, benchmarking, experimentation, or large-scale AI infrastructure.
- Track record of building reusable platforms supporting heterogeneous AI workloads and compute environments.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 224,000 USD – 356,500 USD for Level 5; and 272,000 USD – 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 8, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.