Software Integration Engineer, Autonomy

The role

This role integrates ML models onto on-board compute and runtime stacks. You will optimize model inference for embedded automotive hardware and build model deployment pipelines.

What you will do

• Integrate ML models onto the on-board compute and runtime stack
• Optimize model inference for latency, throughput, memory, and power on embedded automotive hardware
• Build and maintain the model deployment pipeline, including conversion, validation, and rollout
• Stabilize on-vehicle ML execution by diagnosing runtime failures, timing violations, and resource contention
• Define interface contracts between ML models and the rest of the on-board software stack
• Work closely with the ML autonomy team to close the loop between deployment constraints and model design

Required qualifications

• Bachelor's or Master's degree in CS, EE, Robotics, or related field
• 2-4 years of experience in systems or software engineering, with some exposure to ML inference, embedded systems, or real-time software
• Experience contributing to deploying or optimizing ML models in production
• Solid C++ and Python skills

Nice to have

• Background in autonomous driving or robotics on-board software
• Exposure to inference optimization frameworks such as TensorRT, ONNX Runtime, and automotive SoCs
• Exposure to real-time operating systems and safety-critical software practices
• Experience contributing to CI/CD and automated validation pipelines

Before you apply

• Application Review - Coding Test - 1st interview - 2nd interview - Offer Negotiation - Hiring
• All documents must be submitted in PDF format and under 30MB in size

About the company

42dot is a mobility AI company and the Global Software Center of Hyundai Motor Group. They develop software-defined vehicle technologies.