Top Tech Jobs & Startup Jobs

Design and maintain pipelines and tooling to ingest, validate, model, and serve multi-modal driving data for ML training, evaluation, and debugging. Collaborate with ML, vehicle software, curation, and fleet teams to scale the data stack and make datasets discoverable and queryable.

Lead end-to-end design and delivery of the electric powertrain system (battery, HV distribution, motors, inverters, drivetrain). Define system architecture, perform system-level modeling and validation, integrate battery/BMS and thermal strategies, oversee prototype builds and testing, manage suppliers, and ensure HV safety, durability, and production readiness.

Design, build, and scale ML infrastructure: ingest vehicle sensor data, create batch pipelines for dataset curation, run distributed GPU training, and ensure performance, observability, efficiency, and security across the ML pipeline while partnering with ML teams.

Design, prototype, and validate mechanical systems for large autonomous vehicles. Create CAD models and drawings, build and test hardware in-shop, integrate sensors and subsystems, manage sourcing and vendors, perform root cause analysis, and support field testing and deployments.

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.