Top Tech Jobs & Startup Jobs

Develop, integrate, tune, and validate vehicle trajectory and motion controllers for autonomous and assisted-driving systems. Build latency-sensitive, production-quality C++ control software, maintain controls architecture, and evaluate performance through simulation, closed-loop testing, and on-road validation. Collaborate across teams to define interfaces, integrate adjacent systems, and support new vehicle platforms and features.

Own the architecture, strategy, and integrity of safety cases for robotaxi and ADAS products. Define safety claims, arguments, evidence structures, traceability, and assurance approaches spanning AI performance, engineering controls, validation, cybersecurity, and operational deployment. Provide independent technical challenge, identify safety gaps and residual risks, guide release decisions, and advise senior governance forums. Partner with engineering, product, AI/ML, systems, and operations teams while building organization-wide safety case capability and coaching leaders on evidence quality and structured assurance.

Build and improve reliability tooling, automation, observability, and incident-management processes for autonomous vehicle software. Diagnose complex production issues across Linux, systems, logs, metrics, traces, and vehicle data; develop solutions that accelerate detection, triage, and recovery. Collaborate with software, field engineering, and operations teams while supporting safety-operator tools and partner vehicle programs. The role requires production coding and hands-on systems debugging in a hybrid Sunnyvale environment.

Build and scale the platform powering Wayve’s data flywheel and foundation-model stack. Responsibilities include developing large-scale data curation, enrichment, evaluation, training, and serving infrastructure; implementing distributed processing, vector search, lakehouse, dataset versioning, and annotation systems; and transforming manual workflows into reliable self-service products. The role requires production ownership, observability, testing, on-call support, and close collaboration with Applied Scientists and ML Engineers.

Lead the electrical architecture, mechanical design, integration, validation, and production readiness of autonomous driving hardware across vehicle platforms. Integrate compute, sensors, power systems, ECUs, networks, harnesses, and custom electronics; define requirements and interfaces; lead bring-up, troubleshooting, verification, and safety activities; manage technical risks and supplier/OEM relationships; support vehicle builds and mentor engineers.

Develop efficient generative world models and planners for closed-loop autonomous-driving simulation. Responsibilities include designing diffusion or transformer-based models, enabling interactive agent simulation, optimizing inference latency and compute efficiency, defining evaluation metrics, integrating models into training and evaluation workflows, measuring sim-to-real performance, mentoring researchers, and contributing to technical roadmaps and publications.

Leads and grows the OS engineering team, including hiring, coaching, performance management, roadmap ownership, resourcing, and delivery. Sets technical direction for embedded operating-system foundations, hardware enablement, deployment systems, CI, SIL/HIL testing, monitoring, quality gates, and OTA updates. Partners with vehicle software, hardware, model development, OEM, and external teams to ship reliable software across diverse automotive platforms.

Lead global product marketing for Wayve’s Embodied AI software targeting automotive OEMs, Tier 1 suppliers, and technology architects. Develop positioning, value propositions, campaigns, content, thought leadership, events, competitive analysis, and sales enablement materials. Collaborate with Product, Engineering, Automotive, Technical Business Development, and Marketing teams to translate complex AI and automated-driving technology into compelling customer messaging and support pipeline growth.

Leads integration of Wayve’s AI stack into production automotive platforms and OEM programs. Responsibilities include embedded software integration, AI model adaptation, distillation, tuning, validation, deployment strategy, and development of reusable application-layer frameworks. The director will coordinate research, product, safety, and release teams; provide technical leadership to OEM and Tier 1 customers; and build a high-performing embedded AI integration team.

Optimize large-scale ML training and inference workloads by profiling bottlenecks, implementing efficiency improvements (parallelism, mixed precision, compilation), building observability and benchmarking tools, and collaborating with research and platform teams to scale models and increase training throughput.