Senior AI Engineer, AI Tools

at Nvidia

USD 224,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 API @ 4 Agentic AI @ 7 Ansible @ 4 CI/CD @ 4 Chef @ 4 Codex Distributed Systems @ 4 Go @ 7 Java @ 7 Jenkins @ 4 LLM Leadership @ 6 Machine Learning @ 7 Observability @ 4 Python @ 7 RAG Software Development @ 4 Terraform @ 4

Details

NVIDIA is seeking an experienced AI engineer to help evaluate, implement, and scale AI tools and workflows across engineering teams. The role focuses on AI-native software engineering productivity, including tool and model evaluation, workflow optimization, developer tooling, and collaboration with AI technology vendors.

Responsibilities

Evaluate emerging and established AI tools, agent harnesses, and models on representative NVIDIA engineering workflows, comparing task success, output quality, reliability, latency, cost, and enterprise readiness.
Identify opportunities where AI is the best tool, uncover 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 identifying bottlenecks across training, evaluation, and testing workflows, improving throughput, latency, and efficiency.
Collaborate with AI product vendors to gain insights into the AI industry and share them with internal leaders and developers.
Work with core and emerging tool vendors to evaluate capabilities, influence product roadmaps, resolve adoption issues, and introduce useful features into NVIDIA's AI ecosystem.
Provide guidance on AI tool and model selection, recommended configurations, workflow examples, onboarding materials, and hands-on training.

Requirements

Master's degree in electrical engineering, computer science, or equivalent experience.
12 or more years of work experience.
Strong understanding of large language models, 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, and failure analysis.
Strong software engineering skills in Python, with experience in Java or Go and extensive scripting and automation experience.
Experience building evaluation pipelines, developer tooling, or full-stack applications, including API integration, data management, and deployment in cloud or enterprise environments.
Experience with CI/CD tools such as Jenkins, GitLab CI, Packer, Terraform, Artifactory, Ansible, Chef, or similar technologies.
Good understanding of distributed systems, 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 user guidance.
Ability to work effectively across organizational boundaries to improve alignment and productivity between teams.

Preferred Qualifications

Industry thought leadership in AI and experience influencing the AI ecosystem to deliver forward-looking solutions.
Expertise in agent harnesses, tool calling, MCP, retrieval-augmented generation, context management, or fine-tuning, including evaluation of 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 consistent record of guiding and influencing others in dynamic environments.

Benefits

Equity and benefits are provided.
NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.

The base salary range is USD 224,000–356,500, determined by location, experience, and the pay of employees in similar positions. Applications will be accepted at least until October 13, 2026.