22 hours ago
Sunnyvale, CA, USAMid Level / Senior
H1B sponsor
Base Salary
$150k - $205k/yr
Responsibilities
- Integrate ML models, including end-to-end driving, VLA, and world models, onto onboard compute and runtime stacks.
- Optimize model inference for latency, throughput, memory, and power on embedded automotive hardware.
- Build and maintain the model deployment pipeline from conversion and validation through rollout.
- Diagnose runtime failures, timing violations, and resource contention to stabilize on-vehicle ML execution.
- Define interface contracts between ML models and the onboard software stack.
- Collaborate with the ML autonomy team to connect deployment constraints with model design.
- Help shape the model deployment architecture, inference optimization strategy, and interface standards as an early founding-team hire.
Requirements
- Bachelor's or master's degree in computer science, electrical engineering, robotics, or a related field.
- 2–4 years of experience in systems or software engineering, with exposure to ML inference, embedded systems, or real-time software.
- Experience contributing to the deployment or optimization of ML models in production.
- Solid C++ and Python skills.
- Demonstrated ownership and ability to solve ambiguous technical problems through to working solutions.
- Preferred: background in autonomous driving or robotics onboard software.
- Preferred: exposure to TensorRT, ONNX Runtime, automotive SoCs, real-time operating systems, safety-critical software practices, and automated validation pipelines.
- Preferred: experience contributing to CI/CD and automated validation pipelines.
Categories
About 42dot
42dot builds software-defined vehicle and autonomous mobility platforms for automakers and mobility service providers. Its products include AI-driven vehicle software, data-based update services, and core platform components such as API gateways and identity/access management to connect services securely. The privately held company is headquartered in Seongnam-si, Gyeonggi-do, and focuses on transportation and automotive markets.