Robotics Engineer II

What you'll do

• Train, integrate, test, optimize, and monitor on-vehicle autonomy software and ML models.
• Coordinate on-vehicle tests and diagnose and root-cause issues from commercial operations.
• Plan data collection and develop tools and visualizations to analyze behavior and control subsystem performance.

What they ask for

• 2+ years of robotics software experience for physical systems in a commercial environment.
• Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a field with a strong mathematical and/or engineering foundation.
• Basic understanding of ML model concepts and functional understanding of lidar, camera and/or radar perception systems and hardware interfaces.
• Strong C/C++/Python programming in Linux; functional proficiency with software concepts including memory management, threading, databases, and networking; familiarity with git, valgrind, and gdb.

Nice to have

• Familiarity with perception, planning, and foundation model concepts in autonomous driving; experience deploying ML models to resource-constrained hardware.
• Experience with CUDA/GPU processing, hard example mining, active learning, dataset composition, autonomous vehicle model evaluation, or large-data/model training and evaluation pipelines.

Pay

$130,000 — $155,000 USD (base salary)

Tools

C/C++, Python, Linux, git, valgrind, gdb, CUDA

AI focus

Train, integrate, test, and deploy machine-learning models for vehicle autonomy; improve models through targeted data collection and evaluation.