Top Tech Jobs & Startup Jobs

Lead the technical strategy, design, and production integration of fault detection and fallback systems for autonomous vehicles. Develop robust robotics solutions, collaborate with machine learning and software teams, guide architecture decisions, and improve overall system safety and reliability. The role also involves mentoring, defining acceptance criteria, analyzing fleet data, and potentially building monitoring, debugging, and real-time systems for large-scale driverless vehicle operations.

Build scalable performance tooling for AI model training and inference across cloud and embedded hardware. Responsibilities include profiling workloads, conducting roofline analysis, identifying layer- and operator-level bottlenecks, predicting latency, memory, utilization, and compute costs, and monitoring regressions. The role requires close collaboration with model, compiler, runtime, platform, and hardware teams to establish performance targets and translate measurements into actionable recommendations.

Own and extend Wayve’s machine learning compilation pipeline from model checkpoint to deployable embedded bundles across NVIDIA TensorRT and Qualcomm QNN targets. Design compiler passes, quantization and precision-typing systems, graph partitioning, legalization, regression testing, and benchmarking infrastructure. Partner with model and training teams to ensure compilability, accuracy, and latency across architectures and SoCs. Provide technical direction and mentorship for compiler engineering.

Research and develop foundation models for general-purpose robotics, including multimodal architectures, scalable training methods, data strategies, and post-training techniques. Build distributed pipelines using large-scale video and robot-interaction datasets, evaluate models on real robots, and collaborate with robotics, hardware, and engineering teams. The role involves frontier research across vision-language-action models, world models, imitation learning, reinforcement learning, and self-supervised learning, with opportunities for publications and ownership of a new embodied AI research program.

Build and operate cloud infrastructure, CI/CD pipelines, build systems, Infrastructure-as-Code, automation, developer tooling, and observability platforms. Scale build agents, runners, artifact storage, and containerized workloads; troubleshoot infrastructure and deployment issues; support incident response, root cause analysis, secure delivery, reliability, and cloud cost efficiency.

Develop and deploy deep learning systems for autonomous driving, including personalized and collaborative driving behaviors. Build model architectures, data pipelines, evaluation frameworks, and production deployment pathways. Curate real-world and synthetic data, improve closed- and open-loop performance, collaborate across autonomy teams, lead technical initiatives, and mentor engineers.

Leads large-scale data curation, enrichment, and rare-event mining for autonomous vehicle machine learning systems. Builds workflows for model introspection, out-of-distribution detection, robust evaluation, and driverless operation. The role spans model engineering, infrastructure, compute, and data, requiring ownership of distributed ML systems, large-scale inference, and collaboration across research and engineering teams.

Build and operate scalable data pipelines for autonomous-driving machine learning workflows. Responsibilities include ingesting, transforming, curating, validating, and monitoring large real-world and synthetic datasets; improving pipeline performance and reliability; supporting scenario mining and model evaluation; and collaborating with ML engineers, Data Corpus teams, AI Platform, and external partners.

Lead large-scale training and improvement of Gaia, Wayve’s video world model for autonomous driving. Design experiments, influence model architecture and training strategy, improve synthetic scenario generation, and deliver production-grade training systems. Collaborate with research, simulation, applications, and infrastructure teams while providing technical leadership through mentorship, reviews, and direction-setting.

The role involves advising on commercial matters, drafting contracts, supporting strategic transactions, and building legal processes as Wayve scales globally.