Senior Systems Engineer -- Agentic AI

NVIDIA is hiring a Senior Systems Engineer -- Agentic AI in Austin, United States. It pays $224k-$357k a year and Level rates it ; you can apply on Level.

Level's read on this job

Level rates this role Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include AI evaluation.
Level files it as a senior role.
Level lists 2,700+ other open roles at NVIDIA.
The role was posted in the last few days.

AI in this role

ai-evaluation

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which GPUs serve as the brains of computers, robots, and self-driving cars that can understand and interact with the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent.

NVIDIA is hiring a Senior Software Architect in the Agent Harness & Runtime Engineering team to build foundational systems for the next generation of agentic AI. Our team works at the intersection of AI and systems engineering, tackling challenges across agent runtimes, inference, evaluation, and large-scale execution. We are looking for someone with the AI breadth to quickly understand emerging problems, the systems depth to architect solutions at scale, and the engineering strength to build them. This is an opportunity to work across the agentic AI stack and translate rapidly evolving AI capabilities into scalable, production-quality systems.

What You'll Be Doing:

Architect and build scalable, reliable systems for agentic AI, spanning agent runtimes, harnesses, inference, evaluation, and orchestration.
Solve large-scale systems challenges across distributed execution, data/ETL pipelines, HPC, cloud, Kubernetes, and GPU compute environments.
Optimize systems for reliability, scalability, performance, resource utilization, and developer experience.
Prototype emerging ideas, write high-quality production code, and provide technical leadership across research, engineering, product, and infrastructure teams.

What We Need to See:

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 the pay of employees in similar positions. The base salary range is 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 October 20, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

How we rate this

Senior Systems Engineer -- Agentic AI at NVIDIA rates 98 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Senior Systems Engineer -- Agentic AI is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $224k-$357k a year.
The role is based in US, TX, Austin.
The job was posted on October 16, 2026.
Seniority: senior.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI Evaluation

Questions you could be asked

How do you decide that one model's output is better than another's for a given task?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: AI Evaluation. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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