Top Tech Jobs & Startup Jobs

Lead architect for corporate data ecosystem building and maintaining integrations between enterprise systems (NetSuite, Workday, Salesforce, Pigment, Snowflake, etc.). Design and implement automations and workflows (Order to Cash, Procure to Pay, Record to Report), troubleshoot data/integration issues, support reporting (Tableau/Power BI), and drive system governance.

Serve as the technical bridge for Korean-market customers, leading demos, translating requirements into solutions, running proofs-of-concept, and tracking milestones to advance vehicle OS and self-driving engagements.

Design, build, and maintain core libraries, frameworks, and developer tools for Android Automotive OS. Own developer infrastructure and Gerrit code review, develop automated and static analysis tooling, collaborate with platform and app teams to improve code quality, build performance, and release workflows, and set tooling best practices.

Design and implement a full-stack operating system: kernel, system services, runtime, application framework, BSPs, HALs, and device drivers. Write and review performance-critical code, implement IPC, memory management, security sandboxing, networking, and power/performance features. Collaborate with hardware partners/OEMs, engage with open-source projects, and mentor engineering peers.

Conduct research on large-scale reinforcement learning and training infrastructure for autonomous driving and robotics, publish in top conferences, and collaborate with engineering teams to deploy end-to-end algorithms into production simulation and ADAS systems.

Join Applied Intuition Research to conduct reinforcement learning research for large-scale closed-loop systems and VLA post-training, focusing on robotics and dexterous manipulation. Collaborate with research scientists and engineers to produce high-quality publications and develop methods deployable to autonomous vehicles and robotic systems.

Lead and coordinate complex autonomy deployments for mining and construction customers. Manage hardware and software commissioning, multiple concurrent engagements, sprint planning, documentation, and cross-team collaboration to meet contractual milestones and improve workflows using AI tools.

Lead performance measurement and release management for the core autonomy stack across passenger, trucking, and mining programs. Define reliability metrics and forecasts, coordinate end-to-end releases to downstream teams, prioritize engineering projects to improve driving performance, and build reporting and dashboards for engineering and customer-facing teams.

Execute and coordinate vehicle test plans for AV and ADAS development vehicles, report results to software teams, work with vehicle operators, improve testing procedures with engineers and ops, and champion safety during testing.

Early-career research engineer role translating ML and robotics research into deployed autonomy systems. Collaborate on end-to-end algorithms, simulation-driven data generation, safety and robustness research, and author publications with research scientists and interns.