Software Engineer II, Perception

What you'll do

• Research and build models and algorithms for object tracking, sensor fusion, and traffic-scene understanding.
• Analyze on-road and simulated test results, address failure modes, and deliver tested production software.
• Develop large-scale training pipelines and deploy real-time solutions; contribute to perception architecture and cross-functional work.

What they ask for

• Master's degree or higher in Computer Science, Robotics, Electrical Engineering, or a related field, or a bachelor's degree with 1+ years of relevant industry experience in software engineering.
• Proficiency in C++ and Python for production-quality software engineering.
• Basic knowledge of one or more areas such as deep learning, computer vision, recursive state estimation, structured prediction, or numerical optimization.
• Basic knowledge of 3D object tracking algorithms and experience with PyTorch, Tensorflow, and/or other deep learning frameworks.

Nice to have

• Hands-on experience with VLM, foundational or world models, CUDA, or high-performance GPU programming.
• Experience deploying production-grade CV/ML models in real-time environments or optimizing ML workflows and training pipelines.

Pay

$126,000 - $201,000 per year (base pay; ISO currency code not stated)

Tools

C++, Python, PyTorch, Tensorflow, CUDA, Hidden Markov Models

AI focus

Research, develop, train, and deploy machine-learning systems for perception, object tracking, attribute classification, sensor fusion, and understanding traffic environments.