Lead ML/Perception Engineer

What you'll do

• Architect and evolve the perception stack, including system design, modularization, and migration to improve scalability, latency, and maintainability.
• Develop scene detection, runtime activation, and robust perception capabilities for adverse weather and degraded sensors.
• Lead feature development, testing, field-performance monitoring, and multimodal data and ML pipeline work.

What they ask for

• 5+ years of industry experience working on real-world robot systems and maintaining industrial-grade code.
• Master's degree in Robotics, Computer Science, Computer Engineering, or a field requiring a strong mathematical and/or engineering foundation.
• Demonstrated experience leading or making major architectural decisions for a perception, robotics, or autonomy software stack.
• Strong programming skills in C/C++/Python and Linux; strong ML/DL experience with PyTorch/TensorFlow, including direct experience developing or fine-tuning large-scale multimodal models for real-world perception.

Nice to have

• Experience with adverse-condition perception, sensor degradation, fault detection, and graceful-degradation strategies.
• Experience with ODD monitoring and runtime activation, large-scale multimodal models for edge-case detection, synthetic data, RL, or real-time ML optimization.

Pay

$235,000 — $275,000 USD (base salary)

Tools

C/C++/Python, Linux, PyTorch/TensorFlow, VLMs, LLMs, Reinforcement Learning (RL)

AI focus

Integrate and fine-tune large-scale multimodal models, including VLMs and LLMs, for semantic scene understanding and reasoning; develop multimodal data alignment pipelines for foundation-model training.