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Principal Engineer – Team Lead, Simulation Infrastructure

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. Lead, mentor, and grow a team of simulation infrastructure engineers across multiple locations .

Posted 10/14/2026full-timeUnited StatesSenior💰 $200,000 - $275,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in leading engineering teams and defining technical roadmaps for simulation infrastructure, with strong production-level skills in Python and C++. Proficient in AWS Cloud scaling and building observability dashboards to ensure infrastructure reliability and performance.

Highest-signal resume keywords
AWS Cloud ScalingPython ProgrammingC++ ProgrammingEngineering Team LeadershipGitLab CI/CD Pipeline Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Python ProgrammingC++ ProgrammingAWS Cloud ScalingEC2 ConfigurationDatabase ProficiencyObservability Dashboard DevelopmentWorkflow OrchestrationSimulation Platform ExperienceAutomated Deployment ArchitecturesPhysics Based Vehicle Dynamics Modeling
Soft Skills
MentoringTeam LeadershipCollaboration
Tools & Technologies
GitLab CI/CDDockerGrafanaLookerApache Airflow
Industry Keywords
Autonomous VehiclesRoboticsCloud InfrastructureSimulation InfrastructureHardware-in-the-LoopVehicle CAN Protocols

Tech Stack

Tools & technologies
AirflowApacheAWSCloudDockerEC2GrafanaLinuxPostgresPythonSQLC++

About the role

Key responsibilities & impact
  • Lead, mentor, and grow a team of simulation infrastructure engineers across multiple locations
  • Define and execute the multi-year technical roadmap for Simulation Infrastructure
  • Align team goals with broader Autonomy and Testing Services objectives
  • Partner with Release, SIL Runtime, Hardware-in-the-Loop, and Autonomy development teams
  • Architect and maintain high-throughput, multi-cluster infrastructure with blue/green CI deployments, cloud load balancing, resimulation/orchestration pipelines, and job prioritization
  • Oversee EC2 sizing and spot queue enablement with automated failover
  • Develop extensible simulation engine abstractions and interfaces
  • Ensure compatibility and integration across internal tools and frameworks
  • Build and maintain System Under Test definitions and supporting tooling
  • Develop infrastructure for local and remote/cloud execution and scaling, including map and scenario infrastructure
  • Support data generation pipelines, synthetic data workflows, and automated log-to-synthetic pipelines
  • Establish cost, throughput, and queue observability with real-time metrics dashboards
  • Lead postmortems, root-cause analysis, and continuous improvement for simulation test stability and infrastructure reliability

Requirements

What you’ll need
  • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Robotics, Mechatronics, or a closely related engineering field
  • 7+ years of professional software engineering experience, or 5+ years with a Master’s degree, in autonomous vehicles, robotics, or complex cloud infrastructure
  • 4+ years of experience leading engineering teams, defining technical roadmaps, and mentoring junior/senior engineers
  • Strong production-level engineering skills in Python and C++ in Linux environments
  • Deep experience with AWS Cloud scaling, EC2 configuration, spot instances, cluster load balancing, and cloud cost management
  • Hands-on experience with GitLab CI/CD pipeline design, Docker containerization, and automated deployment architectures
  • Proficiency interfacing with databases, including SQL, Postgres, and Trino
  • Experience building observability dashboards with Grafana and Looker
  • Experience with autonomous driving simulation platforms, including log sim, synthetic simulation, open and closed loop simulation, Neural Generation, World Foundation Models, OpenScenario/OSC2, and YAML scenarios
  • Experience with workflow orchestration engines such as Apache Airflow
  • Familiarity with Hardware-in-the-Loop bench integration, vehicle CAN protocols, or sensor simulation is a bonus
  • Experience with Physics Based Vehicle Dynamics Modeling and industry standard tools is a bonus

Benefits

Comp & perks
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401k with a company match
  • Health saving accounts
  • Life insurance
  • Pet insurance
  • Potential bonus compensation
  • Company equity
  • Flexible working locations
  • Up to 10% travel