Senior Systems Engineer -- Agentic AI

NVIDIA AI; Austin (CA); On-site; USD 224,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a senior architect for agentic AI systems in Austin, TX. You will design scalable, reliable platforms spanning runtimes, inference, and orchestration, and lead cross-functional teams across research, engineering, and infrastructure.

You will tackle large-scale distributed systems, data pipelines, HPC, and GPU-accelerated workloads, requiring deep expertise in software architecture and modern AI fundamentals. Equity and strong growth opportunities accompany the role.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

C++

Go

Rust

Distributed systems

Large-scale systems

Education

BS/MS in Computer Science or related field

Tools

Kubernetes

Linux

Job description

Job Requisition ID JR2025315

Job Category Engineering

Time Type Full time

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.

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 September 13, 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.