Senior Agentic AI Engineer, Simulation and Evaluation

Job not on LinkedIn

🕒 August 12

🏄 California – Remote

🏄 California – Remote

💵 $152k - $287.5k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 5%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Build agentic systems that automate simulation, evaluation, performance analysis, and reporting • Develop tools to configure experiments, run evaluations, analyze results, identify regressions, and recommend follow-up work • Analyze inference characteristics of LLMs, reasoning models, coding agents, multimodal models, and agentic harnesses • Build and validate performance models for GPU, LPU, and heterogeneous GPU–LPU systems • Collaborate with inference, hardware, runtime, compiler, evaluation, and product teams • Automate LPU workflows including benchmarking, workload characterization, capacity planning, and release qualification

🎯 Requirements

• 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 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 • Rigorous analytical approach to experimentation, data collection, and validation

🏖️ Benefits

• Equity • Benefits • Inclusive work environment