Sr. Software Integration Engineer, Autonomy

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Sr. Software Integration Engineer, Autonomy in USA new

42dot
Full time
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USA
11/07/2026
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Sunnyvale, CA

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.

Salary: $200k - $300k/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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