Autonomous Driving Validation Engineer — Reliability & Simulation

Botauto; Houston (TX); On-site; USD 130,000 - 190,000; Full time

Job summary

Bot Auto is seeking an engineer to keep the autonomy stack healthy, fast, and trustworthy. You will maintain code, manage the validation and simulation pipeline, and triage road cases into resolved issues.

Join a fast-growing team building autonomous trucking technology that emphasizes reliability and scale. Responsibilities include improving core autonomy code, building release-gating criteria, and delivering observability tooling to diagnose failures quickly across a multi-component stack.

Qualifications

• B.S. in Computer Science or related field or equivalent practical experience.
• Strong C++ and Python with experience keeping large codebases healthy.
• Experience building or operating CI/validation/test infrastructure.
• Strong debugging skills across multi-component stacks.

Responsibilities

• Own and improve core autonomy code: refactoring, interface hygiene, performance, ongoing maintenance.
• Build and operate the validation and regression pipeline with scenario suites and gate criteria.
• Improve simulation infrastructure: determinism, version pinning, scenario tooling, diffing.
• Run triage loop: reproduce, localize root cause, fix or route with clear writeups.
• Develop debugging and observability tooling for fast failure diagnosis.

Skills

C++

Python

Testing

Debugging

Code review

Education

B.S. in CS

Equivalent experience

Tools

CI/CD

Validation infra

Logging tooling

Simulation tools

Debugging tools

Job description

Bot Auto is seeking an engineer to keep the autonomy stack healthy, fast, and trustworthy. You will maintain code, manage the validation and simulation pipeline, and triage road cases into resolved issues.

Join a fast-growing team building autonomous trucking technology that emphasizes reliability and scale. Responsibilities include improving core autonomy code, building release-gating criteria, and delivering observability tooling to diagnose failures quickly across a multi-component stack.