1 day ago
Base Salary
$224k - $357k/yr
Responsibilities
- Evaluate AI tools, agent harnesses, and models against NVIDIA engineering workflows using measures such as task success, output quality, reliability, latency, cost, and enterprise readiness.
- Identify opportunities for AI-first solutions and recommend improvements based on hands-on evaluation of modern AI-native tools.
- Design, implement, and validate AI-assisted workflows for coding, testing, code review, and troubleshooting using tools such as Codex, Claude, Cursor, Greptile, and CodeRabbit.
- Develop scalable evaluation pipelines, benchmarks, reference workflows, and developer tooling with reproducibility and failure analysis.
- Optimize training, evaluation, and testing workflows for throughput, latency, performance, and cost.
- Collaborate with AI and engineering-tool vendors to evaluate capabilities, influence roadmaps, resolve adoption issues, and introduce useful features.
- Provide tool and model selection guidance, recommended configurations, workflow examples, onboarding materials, and hands-on training.
Requirements
- MS in Electrical Engineering or Computer Science, or equivalent experience.
- 12+ years of work experience.
- Strong understanding of large language models, machine learning, agentic AI, agent harnesses, context, and tool use.
- Hands-on experience evaluating AI tools or models and applying LLMs to software engineering workflows.
- Strong Python software engineering skills, with experience in Java or Go and extensive scripting and automation experience.
- Experience building evaluation pipelines, developer tooling, or full-stack applications involving API integration, data management, and cloud or enterprise deployment.
- Experience with CI/CD setup tools such as Jenkins, GitLab CI, Packer, Terraform, Artifactory, Ansible, or Chef.
- Understanding of distributed systems, microservice architecture, software development, testing, code review, and build workflows.
- Preferred experience with agent harnesses, tool calling, MCP, retrieval-augmented generation, context management, fine-tuning, large-scale distributed tooling, evaluation services, or observability systems.
- Preferred experience rolling out AI tools across engineering teams, collaborating with vendors, and driving measurable adoption and productivity improvements.
- Strong communication, collaboration, and influencing skills, including the ability to work across organizational boundaries.
Benefits
- Eligible for equity and benefits.
- Base salary range is USD 224,000–356,500, determined by location, experience, and comparable employee pay.
- Applications will be accepted at least until October 13, 2026.
- This posting is for an existing vacancy.
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.