Note: The job is a remote job and is open to candidates in USA. NVIDIA is a technology company developing GPU-accelerated computing platforms for AI, robotics, and autonomous systems. The Senior Agentic AI Engineer will build AI-driven systems and tools to automate simulation, evaluation, performance analysis, and reporting, while analyzing modern inference workloads across GPU, LPU, and heterogeneous systems. The role will collaborate across engineering and product teams to improve simulation quality and accelerate hardware and software decisions.
Responsibilities
- Building agentic systems that automate simulation, evaluation, performance analysis, and reporting
- Developing tools that configure experiments, run evaluations, analyze results, identify regressions, and recommend follow-up work
- Analyzing the inference characteristics of LLMs, reasoning models, coding agents, multimodal models, and agentic harnesses
- Building and validating performance models for GPU, LPU, and heterogeneous GPU–LPU systems
- Collaborating with inference, hardware, runtime, compiler, evaluation, and product teams to improve simulation quality and accelerate engineering decisions
- Automating critical LPU workflows such as benchmarking, workload characterization, capacity planning, and release qualification
Skills
- 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
- MS in Computer Science, Engineering, or a related field, or equivalent experience
- 5+ years of relevant software development experience
- 2 years of experience building AI agents or building AI-backed engineering systems
- 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
Benefits
- You will also be eligible for equity
- Benefits
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