Top Tech Jobs & Startup Jobs

Design and release powertrain cast-structure components from concept through production. Manage CAD/BOM structures, supplier integration, feasibility CAD studies, validation (strength, NVH), FMA, prototype and production builds, and cross-functional supplier/manufacturing coordination to meet cost, weight, quality, and performance targets.

Lead multi-plant engineering and delivery teams to define, develop, and deploy AMR/AGV autonomy, perception, controls, and large-scale software integrations. Provide technical leadership across perception, mapping, fleet algorithms, embedded controls, simulation/digital twin validation, SOW development, vendor management, and launch readiness, ensuring safety, cybersecurity, and plant alignment for global deployments.

Design, build, and scale test infrastructure and tooling to validate software across vehicles, mobile, and cloud. Integrate automated tests into CI/CD, extend pytest and Appium tooling, run distributed test execution on Kubernetes/GCP, improve observability, and mentor engineering teams to drive automation-first quality practices.

Design and develop vehicle-level features from concept to production: systems architecture, wiring/power topologies, schematics, and allocations. Create specifications, DFMEA/failure-avoidance, verification plans, functional safety and cybersecurity assessments. Use MBSE and simulation (MATLAB/Simulink/Stateflow, Python/C++) and SiL testing. Build BDD test automation (Gherkin/Behave), ensure requirement-to-test traceability, analyze quality/warranty data, and lead cross-functional trade-offs with suppliers and product teams.

Support manufacturing dimensional control by applying GD&T, inspecting components with CMM/3D scanning/laser gauges, developing control plans, leading variability reduction and corrective actions, supervising dimensional control and repair teams, and driving process capability and lean initiatives to ensure production quality and compliance.

Develop and maintain embedded-in-the-loop automated test frameworks (Python/C++) for ADAS ECU and bench targets. Build test libraries interfacing with vehicle networks, orchestrate SIL/HIL workflows, integrate tests into CI/CD, analyze failures, and drive test strategy to improve reliability, performance, and regression coverage.