Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Optimize and deploy neural network models for onboard inference on embedded GPUs using TensorRT and custom CUDA kernels. Profile and reduce end-to-end latency across the autonomous stack, build and maintain C++/Rust real-time software infrastructure, implement quantization/pruning, and collaborate with ML and vehicle systems engineers to meet real-time safety and performance constraints.

Develop and maintain safety-critical, real-time embedded firmware for automotive ECUs. Work across board bring-up to production: bootloaders, drivers, RTOS configuration, automotive communications, hardware-software debugging, testing (unit, integration, HIL), manufacturing test support, and field issue root-cause analysis.

Design, implement, tune, and validate real-time trajectory generation and control systems for autonomous trucks. Develop vehicle dynamics models, state estimation and sensor fusion, perform SIL/HIL testing and on-vehicle experiments, debug using logs/telemetry, integrate ML path outputs, and maintain controls codebase in Rust with safety and real-time performance focus.

Design and bring up electronic hardware for autonomous vehicles end-to-end: schematic/layout with Altium, PCB bring-up and debugging, integrate sensors/compute/actuators, run lab tests with scopes and logic analyzers, collaborate with Mechanical, Firmware, and Systems engineers, and document test results and issues.

Build and maintain Python-based simulation pipelines and tooling for closed-loop testing, synthetic data generation, and sensor simulation. Integrate neural rendering methods (Gaussian splatting, NeRFs, world models) into the sensor stack, expand scenario libraries and benchmarks, and collaborate with ML/autonomy teams to reduce sim-to-real gaps and support model training.

Build end-to-end ML software for autonomy foundation models: data pipelines, training/evaluation workflows, model implementation (LLM/VLM/VLA), simulator integration, and low-latency serving and inference tooling for vehicle deployment.

Lead product vision, strategy, and roadmap for autonomous vehicle, charging, and data products. Translate cross-functional needs into detailed specs, prioritize trade-offs, track metrics, and coordinate end-to-end delivery while ensuring safety and compliance.

Lead end-to-end supply chain for autonomous vehicle hardware: sourcing, procurement, supplier and inventory management, materials planning, trade compliance, and supplier negotiations to ensure on-time, cost-effective, quality part delivery from prototype through production ramp.