Search the 19 jobs at Motional

As a Senior/Principal Engineer on the Prediction team, you will design and implement deep learning architectures for predicting road user behaviors, collaborate on integrating these models into the autonomous vehicle stack, and lead technical initiatives within the team.

The Senior/Principal Engineer in Tracking leads the development of multi-object tracking systems for autonomous vehicles using deep learning. Responsibilities include designing algorithms, improving software practices, mentoring team members, and guiding end-to-end product development to enhance performance in complex environments.

The Senior Data Pipeline Engineer will design and implement large scale data processing pipelines, focusing on building scalable, automated data infrastructure in a cloud environment. Responsibilities include mentoring junior engineers, writing maintainable code, and collaborating with stakeholders to fulfill system requirements.

You will drive innovation in autonomous driving technology by prototyping, evaluating, and deploying machine learning solutions. Collaborate with cross-functional teams to address complex problems and mentor junior engineers.

As the Senior Principal Data Annotation Team Lead, you will oversee data annotation processes for autonomous vehicle systems, leading internal teams and external vendors, ensuring high-quality standards and operational efficiency. You will implement quality assurance measures, forecast annotation requirements, and optimize collaboration to support data integration into development pipelines.

The Senior Analyst will conduct research on market trends and competitive dynamics in autonomous mobility, develop benchmarking materials, assist in preparing executive communications, build market sizing models, and support cross-functional teams in strategic planning and product roadmaps.

The Principal Autonomy Integration Engineer will guide autonomous system product development, define strategic vision and roadmap, collaborate with teams and leadership, and innovate within the autonomous vehicle industry, ensuring successful execution and improvements in development processes.

The Senior Principal Data Annotation Team Lead will lead a high-performing team to ensure data annotation processes for autonomous vehicle systems are efficient and accurate. Responsibilities include managing vendor relationships, optimizing workflows, implementing quality control measures, and collaborating across teams to meet data requirements.

The Senior Motion Planning Engineer will research and develop algorithms for autonomous vehicles, focusing on mobile robotics, motion planning, and software systems. Responsibilities include creating safe motion plans, integrating algorithms for vehicle autonomy, mentoring team members, and collaborating across various engineering disciplines.

The Senior Technical Program Manager will lead complex software programs in autonomous driving, collaborating closely with various teams to align goals, manage projects, mitigate risks, and deliver results effectively. The role requires strong communication, project management skills, and a deep understanding of engineering processes related to autonomy and AI/ML development.

The Senior Motion Planning Engineer will develop and enhance testing and debugging tools for the Motion Planner stack, ensuring robust, production-ready code. Responsibilities include collaborating with users to understand needs, improving system design for modularity, and offering support for user-reported issues. The role requires taking ownership of specific components and enhancing development practices within the team.

The Senior Motion Planning Engineer will develop and implement robust tooling and testing solutions for the Motion Planner stack, ensuring code is production-ready. The engineer will drive technical roadmaps, collaborate with users to address their needs, and support peer development practices while improving system design for modularity and adaptability.

As a Frontend Software Engineer on the Map Creator team, you will develop scalable web-based applications for semantic map annotations, optimize performance for large datasets, and collaborate with machine learning teams to integrate automation. You will follow best coding practices and ensure high-quality code delivery.

As a Senior Software Engineer specializing in VSLAM, you will develop and architect advanced mapping and localization solutions for autonomous driving. The role involves solving complex challenges in mapping using state-of-the-art techniques, collaborating with interdisciplinary teams, and prioritizing safety in software development.

The Principal Engineer for the ML Training Platform will lead a team to enhance the ML training and evaluation process. Responsibilities include designing and maintaining scalable ML data processing solutions in AWS using Kubernetes, optimizing model performance with GPUs, and collaborating with various teams to ensure the effective execution of technical initiatives.

You will design and develop safety-critical infrastructure software for autonomous vehicles, including firmware components, test harnesses, and provide technical mentorship to other engineers. Your role involves working with embedded platforms, leading technical initiatives, and supporting the team.

Design and develop software for embedded platforms in safety-critical applications for autonomous vehicles. Lead technical initiatives, create firmware components, design testing protocols, and provide mentorship to other engineers.

The Principal Engineer will lead a team to develop and maintain large-scale data processing pipelines, focusing on extracting, transforming, and providing access to data from autonomous vehicle logs while managing project timelines and mentoring engineers.

Seeking a Senior Software Engineer to join the Ground Truth regression model evaluation team, working on autonomous vehicles. Responsibilities include analyzing complex software systems, designing Restful APIs, developing data pipelines, building Machine Learning infrastructure, and collaborating with cross-functional teams. Bachelor's degree in Computer Science or equivalent experience required. Bonus points for Node.js, AWS cloud development experience, AWS serverless microservices, and Go experience.