דרושים » תוכנה » Deep Learning Researcher

Required Senior Deep Learning Researcher
About the team:
We are 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.
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.

Required Experienced Deep Learning Algorithm Developer - 3D Perception Team
About the team:
A global leader in autonomous vehicle (AV) technology. If youre an experienced deep learning developer driven by a passion to shape the future of mobility, join us to make AV a reality. The 3D Perception team builds transformer-based vision models trained on large-scale driving video for the next generation of autonomous vehicles. Our end-to-end temporal network fuses multi-view cameras into a unified 3D sensing state that powers planning.
What will your job look like?
Develop, implement and optimize state-of-the-art transformer-based temporal vision models.
Extend network capabilities, analyze results and errors, and deliver measurable improvements to the driving scene understanding.
Work shoulder-to-shoulder in a large, collaborative group.
Research and integrate the latest advancements in 3d detection and perception.
Improve algorithmic performance through rigorous experimentation and innovation.
Work with large-scale datasets.
Research new advances in the field from the literature and industry.
Code primarily in Python.

Required Reinforcement Learning Researcher | Learned-Policy Group
About the team:
Build the intelligence behind the next driving decision.
Were building a reinforcement-learning driving planner for complex, interactive road scenarios. Were looking for a researcher to help take it from simulation to real vehicles.
Youll develop policy models, rewards, and training methods. Youll define how driving behavior is evaluated, analyze failures in closed loop, and validate improvements on the road. Youll work in a small team and collaborate with control and other algorithm teams.
This is a high-impact role with direct influence on a core part of our
driving technology and its future products.
What will your job look like?
Research and develop reinforcement-learning planning algorithms, including policy architectures, reward design, training objectives, and optimization methods.
Train and evaluate RL policies for difficult, interactive driving scenarios, building on the existing learning-based planner and complementary classical components.
Develop evaluation methods and relevant metrics for safety, progress, comfort, and interaction quality, and use them to guide experiments and analyze failures.
Build simulation-based training and closed-loop evaluation workflows.
Turn research ideas into reliable components of the driving stack.

The road algorithm team is responsible for the critical and challenging task of detecting the drivable lanes on the road. We focus on Deep Learning algorithms, classical Computer Vision and Geometric Modeling algorithms.
We are looking for an Algorithm Developer to help us advance our technology and push the boundaries of what's possible in autonomous driving.
What will your job look like:
Research and develop state-of-the-art computer vision and deep learning algorithms for ADAS and autonomous driving.
Participate in the entire development cycle, from initial research and prototyping to deployment on real-time embedded systems within the vehicle.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.
Analyze large datasets to improve algorithm performance and robustness.

Required Algorithm Engineer Senior Technical Expert - Objects Perception
About the team:
We are Object Perception group, developing deep learning-based perception systems for autonomous driving. Our work spans scene understanding, multi-camera reasoning, 3D modeling, and behavior prediction.
We are looking for a senior computer vision engineer: a hands on individual contributor whose work will be broad and touch many projects across the group, to lead long-term research initiatives and POCs that shape the technical direction of our technology.
What will your job look like:
Lead long-term applied research and POCs that determine the direction of our perception and autonomy technology.
Design and implement modern end-to-end perception and multi-modal learning systems across diverse vision tasks (e.g., detection and tracking, 3D reconstruction, multi-camera fusion, motion prediction).
Translate research innovations into high-quality, validated POCs designed for adoption by production teams and deployment within autonomous vehicle platforms.