Required Senior Deep Learning Researcher
A pioneering force in the autonomous vehicles (AV) industry.
Join us to build the brain behind the car a large-scale, multi-task neural network that powers the core of our autonomous stack.
Youll design and train cutting-edge deep learning models tailored for our custom EyeQ chip, tackling end-to-end challenges and deploying real-world solutions.
From novel architectures and advanced training techniques to performance tuning under tight constraints, youll work closely with software and hardware teams to turn research into high-impact, production-ready systems.
If youre a brilliant, hands-on researcher with a passion for shaping the future this is your launchpad.
Why us?
Our team is at the forefront of our most advanced AI efforts.
As a central hub for deep learning innovation, were trusted with designing the core neural network architecture that powers the companys flagship products.
If youre seeking a high-impact role among top-tier researchers and developers this is the place to be.
Requirements: PhD in Computer Science or a related discipline (exceptional MSc candidates will be considered).
4+ years of hands-on experience developing deep learning algorithms in Python.
Experience building end-to-end DL pipelines: data preparation, training, evaluation, and deployment.
Proficiency in at least one deep learning framework (e.g., TensorFlow, PyTorch).
Excellent problem-solving skills and a research-oriented mindset.
Advantages:
Industry experience in DL or software development.
Familiarity with hardware-aware model optimization.
Experience with cloud platforms (e.g., AWS), Docker, and Linux environments.
Publications or contributions in the fields of deep learning, neural architecture search, knowledge distillation or multi-task learning.
This position is open to all candidates.