21 hours ago
Base Salary
$200k - $300k/yr
Responsibilities
- Integrate ML models onto onboard automotive compute and runtime stacks.
- Optimize model inference for latency, throughput, memory, and power on resource-constrained embedded hardware.
- Build and maintain model deployment pipelines covering conversion, validation, and rollout.
- Diagnose runtime failures, timing violations, and resource contention in on-vehicle ML execution.
- Define interface contracts between ML models and onboard software.
- Collaborate with the ML autonomy team to connect deployment constraints with model design.
Requirements
- Bachelor’s, master’s, or PhD in computer science, electrical engineering, robotics, or a related field.
- 5+ years of systems or software engineering experience, including meaningful experience with ML inference, embedded systems, or real-time software.
- Track record of ownership and successfully moving ambiguous, difficult problems through deployment.
- Experience deploying and optimizing production ML models on resource-constrained hardware.
- Strong C++ and Python skills across the ML and systems boundary.
- Preferred: autonomous driving or robotics onboard-software experience.
- Preferred: experience with TensorRT, ONNX Runtime, automotive SoCs, real-time operating systems, safety-critical software practices, CI/CD, and automated validation pipelines.
Benefits
- Compensation is listed at $200,000–$300,000 per year.
- Founding-team opportunity to shape the model deployment pipeline, inference optimization strategy, and ML/onboard software interface standards.
- Equal opportunity employer with encouragement for applications from U.S. veterans and candidates eligible for employment preference.
- Qualified individuals with disabilities are encouraged to apply under the ADA.
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.