Senior AI Agent Simulation Engineer - Performance Inference

NVIDIA AI

Santa Clara (CA)

On-site

USD 180,000 - 260,000

Full time

14 days+
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Benefits offered by this job

Equity

Job summary

NVIDIA AI is seeking a software engineer to build agentic systems that automate simulation, evaluation, and performance analysis for AI workloads across GPU and LPU platforms.

You will collaborate with cross-functional teams, optimize inference characteristics, and automate critical engineering workflows such as capacity planning and release qualification.

Qualifications

  • Master's degree required in CS/Engineering.
  • Over 5 years of software development experience, including 2 years building AI agents.
  • Proficient in Python and experienced with AI inference workloads and performance modeling.

Responsibilities

  • Build agentic systems to automate simulation, evaluation, and performance analysis for AI workloads.
  • Collaborate with cross-functional teams to optimize inference characteristics and automate critical workflows in engineering (capacity planning, release qualification).

Skills

AI Agents
Python
Model Architectures
Performance Analysis
Simulation
Profiling
Benchmarking
Performance Modelling
GPU Architecture
LPU Systems
Distributed Inference
High-Performance Computing
LLMs
Reasoning Models
Multimodal Models
Engineering Tools

Education

Master's degree in Computer Science or Engineering

Job description

Build agentic systems to automate simulation, evaluation, and performance analysis for AI workloads across GPU and LPU platforms. Collaborate with cross-functional teams to optimize inference characteristics and automate critical engineering workflows like capacity planning and release qualification.

Requirements: Requires a Master's degree in Computer Science or Engineering and over 5 years of software development experience, including 2 years specifically building AI agents. Candidates must be proficient in Python and have experience with AI inference workloads and performance modeling.

Key Skills: AI Agents, Python, Model Architectures, Performance Analysis, Simulation, Profiling, Benchmarking, Performance Modelling, GPU Architecture, LPU Systems, Distributed Inference, High-Performance Computing, LLMs, Reasoning Models, Multimodal Models, Engineering Tools

Benefits: Equity

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