Top Tech Jobs & Startup Jobs

Lead development and implementation of QA processes for the Self-Driving System organization to achieve ASPICE and ISO 9001:2015 compliance. Define processes, train teams, perform independent product and process audits, run assessments, track and close non-conformances using RCA methods, maintain QA traceability and KPIs, interface with change control, and provide quality feedback during design reviews.

Serve as the technical anchor between Silicon Valley HQ and Korea market: lead customer discovery, host workshops and demos, develop solutions with Product and Engineering, iterate technical scope and business models, guide proposals, and plan revenue strategy across automotive and adjacent domains. Requires frequent international travel.

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.

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.

Provide first-line technical support, manage user onboarding/offboarding, design and build scalable corporate IT infrastructure, troubleshoot systems/networks/hardware/software, and escalate complex issues to senior staff.

Design and implement high-performance world and scene representation systems for multi-agent autonomy. Build spatial data structures, mapping and geometry pipelines, and low-latency C++ systems; drive architectural decisions, integrate with sensing and planning, and mentor engineering teams.

Research intern working on reinforcement learning for large-scale self-play, VLA post-training, and neural simulation applied to autonomous driving and robotics; collaborate with scientists and engineers toward top-tier publications and deployable autonomy solutions.

Lead global sourcing strategy and end-to-end RFx and negotiations for hardware commodities. Build supplier executive relationships, negotiate complex contracts, reduce cost, drive supplier selection and process improvements, and manage cross-functional stakeholders to meet business, technical, cost, and schedule goals.

Lead global strategic sourcing for Physical AI and defense hardware (GPUs, edge compute, LiDAR, sensors). Develop RFx strategies, ensure FAR/DFARS and DCMA/CPSR compliance, negotiate supplier contracts, partner with engineering on SWaP-C requirements, drive cost reduction and process improvements, and manage cross-functional stakeholder alignment.

Build and ship shared AI infrastructure, agent frameworks, and tooling; partner with product teams to productionize LLM and agentic features; own GenAI best practices for architecture, safety, evaluation, and deployment; develop agentic systems and AI SRE tooling; engage with customers to shape roadmap and demos.