Top Tech Jobs & Startup Jobs

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.

Design and build scalable corporate IT infrastructure; respond to help-desk requests and provide onsite/remote technical support; administer systems across Linux, Windows, and Mac; manage networking (VPN, DNS, firewalls, switches) and SaaS integrations; create IT processes and lead platform implementations for global teams.

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.

Lead and mature the security GRC program, perform enterprise and product risk assessments, manage SOC 2/ISO/TISAX audits, run third-party risk management, build GRC tooling and reporting, partner cross-functionally to embed compliance, and support customer security assurance and remediation tracking.

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.

Customer-facing engineer supporting pre- and post-sales across Vehicle OS, SDS and tooling. Conduct technical discovery, demos, POCs, and architecture reviews; build cross-pillar proposals; manage multiple concurrent customer engagements and coordinate with product and solution specialists.

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.

Lead and build the DefenseOS/WarshipOS engineering organization, owning technical strategy and delivery across zonal compute, unified data transport/APIs/SDKs, AI/ML perception and fusion, and SIL/HIL digital-twin test environments. Hire and grow multidisciplinary teams and technical leads, set engineering best practices (architecture, CI/CD, automated and hardware-in-the-loop test), manage program execution and risks, and partner with product, Navy customers, and shipbuilders to deliver field-ready systems.