The Senior Software Engineer will design architecture, implement systems for Enterprise AI, collaborate on machine learning development, and support CI/CD practices.

Lead global program management for AD/ADAS initiatives, ensuring cross-functional alignment, executing complex programs, and fostering high team performance while driving accountability and efficiency.

Lead the strategy and development of state-of-the-art end-to-end autonomous driving research, optimizing ML models and collaborating across teams to influence technical decisions.

Lead a team ensuring AD/ADAS technology meets safety, security, and quality standards while overseeing integration and verification processes.

The Procurement Manager will collaborate with stakeholders to manage supplier negotiations, conduct RFQs, optimize procurement strategies, and ensure compliance with policies.

Develop and deploy advanced machine learning frameworks and cloud pipelines for autonomous vehicles, enhance model performance, and collaborate across teams.

Lead the Test Rigs engineering team to develop a cutting-edge automotive software development and testing platform, focusing on enhancing operational speed and software delivery in the automotive sector.

Develop advanced sensor fusion algorithms for autonomous driving, lead ML model R&D, and collaborate with teams to enhance vehicle localization capabilities.

The Machine Learning Engineer will develop an online mapping system for autonomous driving using machine learning models, collaborating with teams to validate and deploy these models in vehicles.

Develop and support Machine Learning models for autonomous driving, collaborating across teams and ensuring high-quality experimentation and code, with a focus on cutting-edge AI solutions.

The role involves designing ML models for autonomous driving, collaborating on stack requirements, and mentoring team members on high-quality code and ML practices.

Develop applications for a vehicle OS utilizing LLMs and NLP, focusing on user interactions and software module deployment.

Lead a team in developing motion planning algorithms for autonomous driving, focusing on integration and improvement through data-driven approaches. Manage team dynamics and technical direction while ensuring code quality and performance.

Join our team to enhance the next generation of automotive software by developing solutions for data processing and machine learning in the self-driving domain.

The HR Business Partner will collaborate with executives to build a global engineering organization, providing HR solutions, coaching, and supporting talent development and engagement initiatives.

Develop fullstack web applications for data visualization in autonomous driving. Collaborate on design, implementation, testing, and quality assurance of AD/ADAS tools.

The role involves building a scalable data search platform for AD/ADAS, requiring collaboration with ML and engineering teams on data-driven projects and cloud infrastructure.

The Engineering Manager will lead a distributed data platform team, mentor engineers, interface with stakeholders, and drive innovative data solutions for AD/ADAS development.

The role involves designing and implementing machine learning models for prediction and motion planning in autonomous vehicles, driving cross-functional collaboration, and leading projects in a high-velocity environment.

Develop and optimize machine learning models and pipelines for autonomous vehicles, focusing on behavior prediction. Collaborate with teams, lead projects, and ensure high-quality implementations.