Top Tech Jobs & Startup Jobs

As an AI/ML Engineer, develop and optimize analytics frameworks to enhance autonomous vehicle development, focusing on automation tools and collaboration with engineering teams.

Lead the design and implementation of advanced ML models for autonomous driving, collaborating with teams, mentoring engineers, and driving technical initiatives.

Develop high-performance Android software for automotive user experiences, focusing on infotainment systems and digital displays, while optimizing performance and integrating with embedded platforms.

Lead end-to-end optical system performance for automotive Head-Up Displays: design relay optics, build 3D optical models and simulations, define validation strategies, drive risk identification, align cross-functional interfaces, review supplier optics, and resolve prototype/production optical issues.

Lead and grow an embedded platform OS and drivers engineering team responsible for BSP, kernel, HAL, and device drivers. Drive technical direction, platform bring-up, integration, debugging, performance optimization, quality, release readiness, and cross-functional delivery while mentoring engineers and coordinating with hardware, systems, validation, product, and program teams.

Lead design and implementation of observability and developer productivity tooling for autonomous vehicle engineering. Build and maintain distributed systems, observability pipelines, and cloud-native tooling; influence technical roadmap; perform code reviews and PoCs; partner with engineering teams to improve developer workflows; balance technical debt; and mentor and grow engineers across the organization.

Lead creation of next-generation in-vehicle UX through concept visualization, motion and 3D work, design systems, and prototypes. Produce high-fidelity visuals, stories, and interactive prototypes; iterate on interaction models; collaborate with engineering, product, and suppliers to influence product decisions.

Lead design, build, and operation of secure cloud platforms focused on authentication and authorization. Architect access control and policy-driven authorization, develop cloud-native microservices and APIs, implement CI/CD and IaC, ensure observability and logging, mentor engineers, and drive security reviews and remediation.

Lead development and simulation of 12V/48V vehicle electrical system models (battery, distribution, aggregator, controllers). Create physics-based co-sim and SiL models, perform analyses and optimization, validate results with test data, present findings at program gates, collaborate with architects, suppliers, and CAE teams, and drive capability improvements.

Develop high-fidelity, high-performance simulation scenarios and a gym environment for RL training to validate autonomous driving software. Collaborate across large engineering teams to improve developer experience, drive continuous delivery, and integrate simulation with the autonomy stack.