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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAirflowApacheAWSCloudDockerEC2GrafanaLinuxPostgresPythonSQLC++
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
