Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in Autonomous Driving, Robotics, or Deep Learning

• 1-3 years of research experience in Reinforcement Learning, Behavior Prediction and/or Planning

Other Requirements:

• Deep knowledge of Autonomous Driving Behavior

• Experience with simulation environments

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Develop novel algorithms in agent behavior prediction and AV planning

• Conduct research on combined prediction and planning models

• Work on Reinforcement Learning

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in Autonomous Driving, Robotics, or Deep Learning

• 1-3 years of research experience in Generative Modeling, Behavior Prediction and/or Planning

Other Requirements:

• Deep knowledge of Autonomous Driving Behavior

• Experience with simulation environments

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Develop novel algorithms in agent behavior prediction and AV planning

• Conduct research on combined prediction and planning models

• Work on marginal, conditional, and joint prediction

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in Autonomous Driving, Robotics, or Deep Learning

• 1-3 years of research experience in Foundation Modeling, Perception / Behavior, Computer Vision

Other Requirements:

• Deep knowledge of Autonomous Driving

• Experience with sensor and behavior simulation environments

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Develop novel end-to-end algorithms for Autonomy Stack

• Conduct research on foundation models for driving

• Develop robust, interpretable, and explainable Autonomous Driving models

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in Autonomous Driving, Robotics, or Deep Learning

• 1-3 years of research experience in Mapping, Perception / Computer Vision

Other Requirements:

• Deep knowledge of ML Mapping

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Work on the Offline and Online Mapping Research tracks

• Define the business metrics for Mapping assessment

• Continuously adjust the optimal Mapping feature format

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in Autonomous Driving, Robotics, or Deep Learning

• 1-3 years of research experience in Uncertainty Estimation, Out-of-distribution, Statistics, Probability theory

Other Requirements:

• Deep knowledge of ML Uncertainty

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Define the Uncertainty at the different levels of Autonomous Driving

• Estimate Data-dependent Uncertainty and detect anomalous inputs

• Estimate ML model-based Uncertainty and detect anomalous outputs

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Experience Requirements:

• 3+ years of production or research experience in ML Infra, distributed training, model inference or GPU programming

Other Requirements:

• Ability to understand deep learning algorithms

• Familiarity with Azure/AWS/GCP cloud products

• Proficiency with Kubernetes clusters

• Experience with DDP and model parallelization techniques

• Strong communication and teamwork skills

Responsibilities:

• Own and lead the exploration of the latest technology of distributed training and inference optimization

• Build scalable and robust distributed ML training and inference pipelines

• Develop model benchmarking processes and tools

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits

Benefits:

• Comprehensive health insurance, including medical, dental, vision, and short-term disability

• Unlimited PTO

• Hybrid work environment (typically spend a minimum of 2 days in the office per week)

• 401K (US) and Pension (UK)

• Office equipment allowance

Experience Requirements:

• 5+ years of experience of building and shipping scalable features across frontend and backend

• Expertise in front-end development, with advanced skills in React, TypeScript, and modern web technologies

• Solid experience across the full development stack, including Python, Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP.

• A passion for building products that delight users, with a strong product orientation and the ability to prioritize features based on user value.

• The ability to quickly learn and adopt new languages and tools, demonstrating flexibility and a growth mindset.

Responsibilities:

• Lead the development of web applications, from conception through deployment, ensuring they meet our high standards for performance, accessibility, and user experience.

• Design and implement APIs and services that power our applications, working closely with backend teams to ensure seamless integration and data flow.

• Actively monitor and debug applications in production, identifying and resolving issues to maintain optimal performance and reliability.

• Collaborate with cross-functional team members, including product managers, designers, and data scientists, to deliver innovative features and products.

• Champion the continuous improvement of our engineering processes, advocating for best practices in code quality, deployment, and maintenance.