Senior Engineer - Perception Modeling

What you'll do

• Architect and develop multimodal perception systems and synthetic data and sensor simulation capabilities.
• Transfer capabilities from foundation models to efficient real-time onboard models and deploy solutions to autonomous vehicle fleets.
• Provide technical leadership, mentorship, and guidance to engineers.

What they ask for

• In-depth understanding of machine learning and deep learning algorithms, with experience designing, training, and analyzing neural networks for a listed perception application.
• Experience with TensorFlow or PyTorch and fluency in Python, including scientific computing libraries and Python bindings development.
• Advanced software engineering knowledge, including design, source control, builds, code reviews, and testing.
• Strong communication and interpersonal skills; experience mentoring and leading others.

Nice to have

• Experience designing, training, or fine-tuning foundation models for autonomous driving or robotic perception; expertise in world models, generative prediction, scene synthesis, or sensor simulation.
• Experience with knowledge distillation, model compression, synthetic data generation, or multimodal automated labeling; publications at leading computer vision or machine learning conferences.

Pay

$172,000 — $229,000 USD (base salary)

Tools

TensorFlow, PyTorch, Python

AI focus

Develops multimodal foundation-model perception, synthetic data and sensor simulation, knowledge distillation, and efficient real-time autonomous-vehicle perception.