Top Tech Jobs & Startup Jobs

Build tools and infrastructure to enable large-scale end-to-end autonomy research and productionize self-driving software. Scale training, manage large datasets, identify and remove bottlenecks across GPU compute, data curation, and evaluation systems while collaborating with AI research and engineering teams.

Act as the technical bridge for Japan-market customers, translating requirements into solutions for Applied's vehicle intelligence platform. Lead technical discussions, demos, and POCs, track milestones, organize meetings, and support Vehicle OS and self-driving system engagements with OEMs.

Own and maintain HD maps infrastructure across products. Define map storage formats, distribute map data for UIs, data pipelines, storage, and SDKs. Collaborate with engineers and customers to design and build mapping and localization features for autonomous vehicle and simulation applications.

Lead and deliver complex automotive engineering projects by defining milestones, managing timelines, budgets, and cross-functional teams. Act as single technical point of contact for customers, drive integration and validation, coordinate releases for software and hardware, surface customer pain points, and ensure successful completion of ADAS and vehicle platform deliverables.

Build scalable Python-based tooling and infrastructure for autonomous vehicles, including systems for fleet management and vehicle communication. Design systems supporting multiple vehicle platforms and environments, collaborate across the autonomy stack, and support development, testing, and deployment of autonomy software.

Design and build vehicle simulation applications, support automotive customers, collect product feedback, document and test software, evaluate vehicle dynamics and ADAS at the system level, and help develop and deliver customer training.

Design and implement embedded firmware for vehicle platforms: integrate vendor components (CAN, LIN, I2C, SPI, UART), develop RTOS applications, write high-quality C code for real-time and safety-critical systems, support hardware bring-up and SoC debug, and collaborate with cross-functional teams to productionize and maintain products.

Optimize and deploy ML models to production embedded runtimes. Improve inference latency and efficiency across accelerators, prune/quantize models for memory‑constrained platforms, profile on target hardware, and collaborate with ML and software teams on architecture and integration.

Lead and grow an engineering team building scalable behavior systems for L2/L4 autonomous vehicles. Own architecture and delivery of safety-critical behavior planning across diverse driving domains, collaborate with Perception, Research, Simulation, and Vehicle Operations, mentor engineers, and drive technical and business decisions for production autonomy systems.

Design, build, and maintain scalable, low-latency backend services and cloud infrastructure for remote assistance. Implement APIs, data pipelines, protobuf/gRPC communication, NoSQL persistence (Redis), real-time data streaming, and resilience across AWS regions. Collaborate with onboard and frontend teams to ensure secure, reliable end-to-end data flow and optimize serialization and transmission.