The ad says“Experience quantifying or improving simulation fidelity / closing the sim-to-real gap (e.g., sensor modeling, actor behavior modeling, scenario generation)”
The ad says“Experience developing metrics, user-facing APIs, or interfaces between system components”
The ad says“Experience with autonomous vehicle or robotics simulation and related concepts”
The ad says“Proficient in Python or C++, with experience building scalable data processing systems or evaluation frameworks”
The ad says“Proficient in Python or C++, with experience building scalable data processing systems or evaluation frameworks”
The ad says“Experience building LLM-powered or agentic workflows for data analysis, evaluation, or automation”
The ad says“Proficient in Python or C++, with experience building scalable data processing systems or evaluation frameworks”
The ad says“Experience with autonomous vehicle or robotics simulation and related concepts”
The ad says“Experience quantifying or improving simulation fidelity / closing the sim-to-real gap (e.g., sensor modeling, actor behavior modeling, scenario generation)”
The ad says“Experience quantifying or improving simulation fidelity / closing the sim-to-real gap (e.g., sensor modeling, actor behavior modeling, scenario generation)”
The ad says“Experience quantifying or improving simulation fidelity / closing the sim-to-real gap (e.g., sensor modeling, actor behavior modeling, scenario generation)”
Values
The ad says“Familiarity with LLM agent frameworks (e.g., LangChain, LangGraph, or similar) and prompt/tool-orchestration patterns”
The ad says“Familiarity with LLM agent frameworks (e.g., LangChain, LangGraph, or similar) and prompt/tool-orchestration patterns”
The ad says“Familiarity with LLM agent frameworks (e.g., LangChain, LangGraph, or similar) and prompt/tool-orchestration patterns”
We are looking for a Senior Simulation Software Engineer to build and scale the simulation infrastructure that powers our autonomous vehicle development
You will architect simulation pipelines, leverage AI agentic workflows to analyze simulation results, and drive improvements in simulation fidelity to validate autonomy systems and enable critical program milestones
This role offers the opportunity to drive immediate user value while building advanced, AI-powered frameworks for long-term safety validation
Design and build AI agentic workflows that automatically analyze simulation results, identify failures, and surface root causes across large-scale test runs, translating them into actionable insights for engineering teams
Architect and build scalable simulation pipelines, including the metric evaluation framework, and conduct in-depth analysis of road test and simulation data to identify trends, anomalies, and key performance indicators that enhance model accuracy and validate autonomy performance
Identify, quantify, and reduce sources of divergence between simulation and real-world behavior, leveraging AI and data-driven techniques to increase simulation fidelity across actor behaviors, sensor models, and system dynamics
Monitor and improve the performance, scalability, testing, and reliability of the platform
Collaborate with cross-disciplinary teams—including simulation, onboard, systems engineering, and data science—to reproduce and resolve issues encountered during real-world road tests
Work with other engineers to design the long-term architecture of the system
Ensure that technical work meets customer requirements, regulatory standards, and company quality policies, in accordance with the company’s Quality Management System (QMS), and contribute to continuous improvement efforts
Benefits
Unlimited PTO: Unlimited paid time off on top of company holidays to recharge and enjoy as needed
Flexible working: Flexibile work arrangements and technology to help manage life’s demands at the office and remote
Health benefits: Tiered options in medical, dental, and vision insurance to fit your unique needs
Future building: Equity, 401k and FSA options for all eligible employees to help build for your future
Professional development: Company-sponsored professional development opportunities such as conferences, training, and workshops
Catered lunches: Daily catered lunches at both of our Santa Clara and Fremont offices
Preferred experience
Experience building LLM-powered or agentic workflows for data analysis, evaluation, or automation
Proficient in Python or C++, with experience building scalable data processing systems or evaluation frameworks
Experience quantifying or improving simulation fidelity / closing the sim-to-real gap (e.g., sensor modeling, actor behavior modeling, scenario generation)
Excellent communication skills and the ability to collaborate effectively in a team setting
MS with 3+ years of relevant experience, or a PhD new grad, in mechanical, electrical, aerospace engineering, physics, computer science, or a related field
Ability to solve open-ended technical challenges
Experience with autonomous vehicle or robotics simulation and related concepts
Familiarity with LLM agent frameworks (e.g., LangChain, LangGraph, or similar) and prompt/tool-orchestration patterns
Experience developing metrics, user-facing APIs, or interfaces between system components