Top Tech Jobs & Startup Jobs

Lead and grow the brand design team to define and execute Applied Intuition’s brand across digital and physical touchpoints. Create campaigns, website and event creative, sales and executive presentations, and collaborate with Product, Marketing, Sales, and leadership to elevate the brand.

Customer-facing engineer supporting pre- and post-sales across Vehicle OS, tooling, and self-driving systems. Conduct technical discovery, demos, POCs, architecture reviews, and propose cross-pillar solutions while managing multiple stakeholder engagements.

Act as the technical bridge between OEMs/Tier1s and Applied Intuition to support adoption of Vehicle OS: middleware, developer SDK, and IVI integration. Lead architecture reviews, demos, deployments, onboarding to SDK and virtual ECUs, integrate CI/CD pipelines, resolve technical issues, and manage customer project milestones.

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.