Senior AI Engineer

Senior AI Engineer (AI evaluation and agentic workflows) role at NVIDIA in Santa Clara, CA (onsite).

Responsibilities

• Evaluate emerging and established AI tools, agent harnesses, and models on representative NVIDIA software engineering workflows
• Compare task success, output quality, reliability, latency, cost, and enterprise readiness
• Identify where AI is the best tool; surface gaps and recommend AI-first approaches based on hands-on evaluation of modern AI-native tools
• Design, implement, and validate reference workflows for coding, testing, code review, and troubleshooting using tools such as Codex, Claude, Cursor, Greptile, and CodeRabbit
• Introduce technologies that enable massively parallel systems to improve turnaround time by an order of magnitude
• Optimize performance and cost by locating bottlenecks across training, evaluation, and testing; improve throughput, latency, and efficiency
• Partner with AI product vendors to gather deep industry insights and share findings with leaders and developers internally
• Work with core and emerging tool vendors to evaluate new capabilities, influence product roadmaps, resolve adoption issues, and add useful features into NVIDIA’s AI ecosystem
• Provide AI tool and model selection guidance, recommended configurations, workflow examples, onboarding materials, and hands-on training

Requirements

• MS in EE/CS or equivalent experience
• 12+ years of work experience
• Strong understanding of LLMs, machine learning, and agentic AI, including how models, agent harnesses, context, and tool use affect end-to-end task outcomes
• Hands-on experience evaluating AI tools or models and applying LLMs to software engineering workflows, including:
  • experiment design
  • benchmark development
  • reproducibility
  • failure analysis
• Strong software engineering skills in Python; experience with Java or Go and extensive scripting and automation experience
• Experience building evaluation pipelines, developer tooling, or full-stack applications, including:
  • API integration
  • data management
  • deployment in cloud or enterprise environments
• Experience with CI/CD tooling such as Jenkins, Gitlab CI, Packer, Terraform, Artifactory, Ansible, Chef or similar tools
• Good understanding of distributed systems, including microservice architecture and REST APIs
• Familiarity with software development, testing, code review, and build workflows; ability to translate evaluation results into clear technical recommendations and practical guidance
• Ability to work across organizational boundaries to improve alignment and productivity between teams

Technologies

• AI
• Large language models (LLMs)
• Machine learning
• Agentic AI
• Codex
• Claude
• Cursor
• Greptile
• CodeRabbit
• Python
• Java
• Go
• Jenkins
• Gitlab CI
• Packer
• Terraform
• Artifactory
• Ansible
• Chef
• CI/CD
• Microservice architecture
• REST APIs
• Cloud
• API integration

Benefits

• Eligible for equity and benefits

Ways to stand out from the crowd

• Industry thought leader in AI, influenced AI ecosystem to deliver forward-looking solutions
• Expertise in agent harnesses, tool calling, MCP, retrieval-augmented generation (RAG), context management, or fine-tuning, and experience evaluating their impact on complex engineering workflows
• Experience rolling out AI tools across engineering teams, collaborating with vendors, and turning emerging capabilities into measurable adoption and productivity improvements
• Experience developing large-scale distributed tooling, evaluation services, or observability systems with real-time constraints
• Strong collaborative and interpersonal skills, with a record of guiding and influencing others in dynamic environments

Compensation: USD 224,000 - 356,500 per year.

Location: Santa Clara, CA (onsite).