Software Integration Engineer, Autonomy

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Software Integration Engineer, Autonomy in USA new

42dot
Full time
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USA
11/08/2026
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Sunnyvale, CA

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.

Salary: $150k - $205k/yr

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 ...

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