Principal Autonomy Engineer
Vay
full-time
Posted on:
Location Type: Remote
Location: Anywhere in Europe
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Job Level
Tech Stack
About the role
- Research and develop state of the art foundation models for real-world autonomous driving.
- Design and build end-to-end AI pipelines and data flywheels that continuously improve model performance
- Apply machine learning to 3D traffic scene understanding and multimodal sensor data
- Define and implement robust evaluation methods for real world driving conditions
- Optimize models for efficient and scalable deployment on production hardware
- Collaborate closely with autonomy, data, and systems teams to bring models into production
Requirements
- Considerable previous experience building and deploying end-to-end ML models in autonomous driving, robotics, or a closely related domain
- MSc/PhD in Computer Science, Computer Vision, Robotics or a closely related field
- Hands-on experience in applying Machine Learning to 3D traffic scene understanding
- Proficiency in Machine Learning frameworks like PyTorch or Tensorflow
- Strong experience programming with Python (C++ is nice to have)
- Enjoy bridging research quality work with production readiness and performance constraints
Benefits
- ESOP stock options: A stake in Vay’s future - not just a salary
- Unlimited Paid Vacation Days
- Subsidised Deutschland ticket (Berlin)
- Subsidised Urban Sports Club or FitX Membership
- 30% off their Vay rides
- Exclusive external discounts
- €350 Home office budget
- Relocation financial assistance when relocating to Berlin
- Fully funded German Lessons
- Regular team events throughout the year
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learning3D traffic scene understandingend-to-end ML modelsmodel optimizationevaluation methodsPythonC++PyTorchTensorFlow
Soft skills
collaborationproblem-solvingperformance optimization
Certifications
MScPhD