Top Tech Jobs & Startup Jobs

Leads Wayve’s data strategy for autonomous-driving AI, including data acquisition, discovery, curation, enrichment, training, evaluation, deployment, and performance measurement. Builds the data flywheel, identifies rare and safety-critical scenarios, connects data investment to model outcomes, scales global data architecture, and leads a multidisciplinary Data organization. Partners with AI, Science, Validation, Product, Compute, Finance, and Commercial teams.

Build, maintain, and improve CI/CD pipelines and build infrastructure across development, testing, and release workflows. Optimize build performance, reliability, scalability, caching, dependency management, and reproducibility. Develop automation and developer tooling, operate CI infrastructure, troubleshoot pipeline failures, and improve CI/CD security and engineering workflows. Partner closely with software engineering teams to enhance developer experience and software delivery.

Build and operate production search and indexing systems at billion-vector scale for multimodal driving data. Develop embedding-based retrieval, metadata filtering, backend APIs, ingestion pipelines, and evaluation frameworks covering relevance, recall, latency, scalability, freshness, and cost. Own components from architecture through production operations, collaborate across ML and data teams, make build-versus-buy decisions, and mentor engineers.

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.

Develop, integrate, tune, and validate vehicle trajectory and motion controllers for autonomous and assisted driving systems. Build latency-sensitive, production-quality C++ controls software connecting AI outputs to vehicle actuation and feedback. Use simulation, closed-loop evaluation, and on-road testing to diagnose behavior and validate improvements across vehicle platforms. Collaborate cross-functionally on controller interfaces, system integration, and new vehicle features.

Own the safety-case strategy and architecture for Wayve’s robotaxi and ADAS products. Define safety claims, arguments, evidence structures, traceability, and assurance approaches across AI, systems engineering, validation, cybersecurity, and operations. Independently challenge safety cases, identify gaps and residual risks, advise governance forums, and coach engineering and product leaders. Partner across technical teams to align requirements, architecture, validation, and release decisions with a rigorous, scalable safety argument.

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.

Own the roadmap, development, validation, and deployment of Level 4 autonomous driving features. Partner with engineering, design, safety, systems, validation, commercial, OEM, and operational teams to translate embodied AI and end-to-end learning into scalable, reliable, customer-focused robotaxi products. Monitor industry trends, regulations, and competitors while leading product reviews and external engagements.