דרושים » תוכנה » senior deep learning algorithm Developer

we are looking for an experienced deep learning algorithm researcher with a strong focus on reinforcement learning to join the CTO group.
our CTO group is a small, elite research and development group responsible for shaping the next generation of algorithmic solutions powering our autonomous driving systems, crowd-sourced hd maps, and advanced driver-assistance technologies. the role focuses on building a learning-based planning system that has never been deployed at this scale before, leveraging reinforcement learning to address complex, interactive driving scenarios. you will work on policy decision making that provides a holistic, system -level view of autonomous behavior, while tackling a deeply challenging technological problem- taking ideas from research to real vehicles, developing algorithms, retraining models, validating results, and seeing the impact on the road within short development cycles. this is a unique opportunity to take part in early-stage, high-impact projects, develop proof-of-concepts using cutting-edge technologies, and influence our long-term technological direction. what will your job look like:
develop and optimize reinforcement learning-based planning algorithms, including network architectures, reward design, and training processes.
apply rl to complex, interactive driving scenarios, complementing classical planning where deterministic approaches fall short.
work with large-scale simulation environments to enable learning through interaction and diverse policy behaviors.
prototype algorithms in Python and migrate performance-critical components to efficient C ++ / gpu-accelerated implementations.
take part in fast, iterative development cycles, collaborating closely with the CTO and the team to validate ideas and demonstrate working solutions.

the road algorithm team is responsible for one of the most critical and challenging tasks in autonomous driving - detecting and understanding the drivable road. our work leverages deep neural networks and geometric modeling to deliver reliable and high-quality road perception for autonomous vehicles. we are looking for an expert deep learning Research Engineer who will both drive independent deep learning research and collaborate closely with other developers to help unlock new directions, solve complex challenges, and elevate the teams algorithmic capabilities. what will your job look like:
conduct hands-on research and development of deep learning algorithms for road understanding, drivable area detection, and scene structure modeling
lead exploratory investigations into new architectures, training strategies, and data utilization methods
join forces with other developers to troubleshoot difficult problems, introduce new ideas, and guide technical decisions
own projects end-to-end - from concept and experimentation to integration and scalable deployment

you will be part of our rem (road experience management) department, which is responsible for the automatic high-definition map-making process, which is a key technology in autonomous driving and high-end driving assistance systems. vision-based localization is a key enabler for utilizing and creating the maps. our group is responsible for aligning the map with the world, and reporting detected changes during the drive. our technology is safety-critical, and the code has strict time and memory constraints as it operates in real time. what will your job look like:
develop and optimize computer vision and deep learning algorithms to accelerate data generation and labeling workflows for autonomous driving
apply both classical computer vision techniques and modern deep learning methods to solve large-scale data challenges
collaborate closely with development and annotation teams to enhance automation and ensure high-quality data
own the entire lifecycle from prototyping to scalable deployment within internal pipelines and tools
develop tools to evaluate and analyze algorithm performance, robustness, and operational efficiency

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.
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.

our CTO group is looking for experienced algorithm researchers and developers to join our team! which department will you join?
the CTO group is a small, elite group, whose goal is to build next-generation algorithmic solutions powering our self-driving car, crowd-sourced hd maps, and advanced driver-assistance systems. the group is primarily focused on the decision-making module of our self-driving car. it leverages a wide range of algorithmic approaches, rigorous formal definitions, and mathematical modeling- enriched by insights drawn from large-scale data and real-world driving experience.
the group is comprised of top-notch developers and researchers and is headed by world-class scientists. this is a unique opportunity for a passionate technical leader to join the CTO group, work closely with the CTO on next-generation projects, develop pocs using cutting-edge technologies, shape our technology vision and provide thought leadership to our technical community. what will your job look like:
research, design and develop innovative algorithmic solutions.
mathematical modeling and abstraction of real-life problems.
code design, implementation, and hands-on development.