- Master's or PhD (or equivalent experience) in computer science, engineering, data science, or a related technical field.
- 12+ years building and operating production systems including 3+ years with LLM/agent systems.
- A track record as a core technical contributor, shipping multiple LLM-powered applications or agents and owning them in production.
- Hands-on experience with skill-based workflows, harnesses, agent orchestration frameworks.
- Expertise with advanced retrieval techniques plus deep, hands-on expertise designing evaluations and observability for LLM systems.
- Strong Python and solid engineering fundamentals, extensive experience with agentic and adversarial software engineering, an understanding of LLM security and safety risks, and a practical understanding of networks and operating systems.
Ways to stand out from the crowd
- Technical influence without authority – able to align engineers and business leaders on hard calls and set direction across teams you don't manage.
- Experience with NVIDIA's applied AI stack, plus recognized expertise in applied AI such as conference talks, open-source contributions, or published work.
- Large tech company and / or finance-adjacent experience.
- Depth across fine-tuning and reinforcement learning techniques.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 200,000 USD – 322,000 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.