Role at a glance
- Job function
-
Software Engineering & IT Software Engineering
- Salary
- Not Disclosed
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- Master's
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Qualifications
Requires strong experience building AI agents or AI-backed engineering systems; familiarity with modern model architectures and inference workloads; experience evaluating AI models or agents and analyzing performance; experience with simulation, profiling, benchmarking, or performance modelling; strong Python skills and reliable engineering-tool development; and 5+ years of relevant software development experience, including 2 years building AI agents or AI-backed engineering systems. Requires an MS in Computer Science, Engineering, or a related field, or equivalent experience.
Required
- Strong experience building AI agents or AI-backed engineering systems.
- Familiarity with modern model architectures and AI inference workloads.
- Experience evaluating AI models or agents and analyzing performance.
- Experience with simulation, profiling, benchmarking, or performance modelling.
- Strong Python skills and experience building reliable engineering tools.
- 5+ years of relevant software development experience.
- 2 years of experience building AI agents or building AI-backed engineering systems.
- MS in Computer Science, Engineering, or a related field, or equivalent experience.
Preferred
- Experience using coding agents such as Codex, Claude Code, or similar tools to automate technical workflows.
- Knowledge of GPU or accelerator architecture, distributed inference, or high-performance computing.
- Open-source projects demonstrating agentic AI, evaluation, or performance-engineering applications.
- A rigorous analytical approach to experimentation, data collection, and validation.
About the role
Original posting provided by NVIDIA
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing, an era in which our GPUs act as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work.
As LLM architectures and inference workloads evolve, understanding how they map to hardware is critical to designing efficient AI systems. Our team combines simulation and agentic engineering to understand emerging architectures and inform hardware and software decisions.
What you'll be doing:
- Building and validating performance models for LLM architectures across GPU, LPU, and heterogeneous systems.
- Developing agents to automate simulation workflows, analyze bottlenecks, and accelerate design space exploration.
- Collaborating with hardware architecture, inference, runtime, and compiler teams to improve modeling accuracy and guide optimization.
What we need to see:
- MS in Computer Science or a related field, with 5+ years of experience.
- Familiarity with modern LLM architectures and their inference characteristics.
- Experience with simulation, profiling, or performance modeling, including familiarity with roofline analysis for LLM inference.
- Strong analytical skills and a rigorous approach to experimentation and validation.
- Strong software engineering skills and experience building reliable engineering tools using coding agents like Claude Code, Codex, etc.
Ways to stand out from the crowd:
- Experience building agents that automate complex engineering workflows.
- Knowledge of accelerator architecture and compute, memory, or communication bottlenecks.
- Open-source contributions in agentic systems, simulation, or inference optimization.
NVIDIA is widely considered one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, analytical, and autonomous, we want to hear from you!
#LI-Hybrid
You will also be eligible for equity and benefits.
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.