- Plus 2
- Santa Clara, CA
- Full-Time
- 49 days ago
- $130,000 – $200,000
Senior Simulation Software Engineer.
Before you go
Before you leave us, sign up for our email alerts
We don't do job spam, just the best digital jobs delivered straight to your inbox.
Senior Simulation Software Engineer: our view in 3 lines...
- The Role:This role is for a senior software engineer building simulation infrastructure for autonomous truck development.
- The Person:The person will design AI agentic workflows, build and scale simulation pipelines, analyse simulation and road test data, improve simulation fidelity, and work with cross-disciplinary teams to reproduce and resolve issues.
- Requirements:The role calls for AI agentic workflows, scalable simulation pipelines, metric evaluation frameworks, road test and simulation data analysis, and improving simulation fidelity in line with QMS and regulatory standards.
About the role
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.
Responsibilities
-
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.

