Develop large-scale solutions for mining challenging driving scenarios to improve autonomous driving model performance. Collaborate with infrastructure teams to create continuous learning workflows and provide statistical insights on model robustness.
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39 Remote Job Openings at Motional
Design and implement software pipelines for autonomous vehicle localization systems and collaborate with mapping, perception, and motion planning teams. Provide technical leadership through code reviews and guidance for junior team members to ensure software quality and efficiency.
Develop and integrate planning algorithms for autonomous driving while building a robust and scalable codebase. Interface with system components via CI/CD pipelines and provide mentorship to junior team members.
Develop and train ML pipelines for multimodal sensor data to identify critical driving scenarios and edge cases. Build scalable data preprocessing pipelines and monitor production model health and performance.
Develop and fine-tune ML pipelines for multimodal sensor data to improve data search and retrieval for autonomous vehicles. Build embedding-based search tools and monitor production performance to accelerate the model improvement lifecycle.
Drive complex technical programs and model release cycles for driverless robotaxi capabilities. Lead cross-functional integration across Prediction and ML Planning teams while managing technical risks and roadmaps.
Drive complex technical programs and model release cycles for driverless robotaxi capabilities. Lead cross-functional integration across Prediction, ML Planning, and Behaviors teams to resolve technical blockers and align roadmaps.
Design and assess AV behavior competencies using data-driven assessment from on-road and simulation modalities. Develop metrics, automate result analysis, and provide strategic insights to improve AV performance and safety.
Define and execute motion planning and prediction projects to improve autonomous vehicle navigation in complex traffic. Design and deploy ML behavior models using generative AI and reinforcement learning onto vehicle fleets.
Define and execute motion planning and prediction projects to improve autonomous vehicle navigation in complex traffic. Design, implement, and deploy ML behavior models using generative AI and reinforcement learning onto vehicle fleets.
Build and lead a new AI Data Engine team to accelerate ML dataset generation and optimize the data warehouse stack. Define the technical strategy for storing metrics and querying large datasets to support driverless technology development.
Build and lead the AI Data Engine team to accelerate ML dataset generation and optimize the data warehouse stack. Define the technical strategy for storing metrics and querying large datasets to support driverless technology development.
Lead the machine learning-based Prediction and Planning teams to develop a unified Large Driving Model for autonomous vehicles. Oversee the technical roadmap, mentor engineering sub-teams, and publish research in top-tier AI conferences.
Lead the machine learning-based Prediction and Planning teams to develop a unified Large Driving Model for autonomous vehicles. Oversee the technical roadmap, mentor engineering sub-teams, and publish research in top-tier AI conferences.
Lead the machine learning-based Prediction and Planning teams to develop a unified Large Driving Model for autonomous vehicles. Oversee the technical roadmap, mentor engineering sub-teams, and publish research in top-tier AI conferences.
Develop and optimize core systems for large-scale frontier model training, focusing on speed, cost, and reliability. This includes performance profiling, GPU kernel development, and optimizing distributed training pipelines.
Develop and optimize core systems for training frontier ML models, focusing on speed, cost, and reliability. Responsibilities include performance profiling, GPU kernel development, and optimizing distributed training pipelines.
Develop and optimize core systems for training frontier ML models, focusing on speed, cost, and reliability. Responsibilities include performance profiling, GPU kernel development, and optimizing distributed training pipelines.
Develop and optimize core systems for training frontier models at scale, focusing on speed, cost, and reliability. This includes performance profiling, GPU kernel development, and optimizing distributed training pipelines.
Diagnose and resolve complex issues within the Planning and Controls stack of autonomous software through log analysis and simulation. Lead the development and deployment of software fixes and create internal tooling to automate analysis workflows.
Diagnose and resolve complex issues within the Planning and Controls stack for deployed autonomous software. Develop internal tooling and scripts to automate log analysis and expedite software fixes.
Diagnose and resolve complex issues within the Planning and Controls stack of autonomous software through log analysis and simulation. Develop internal tooling and lead the deployment of software fixes to accelerate autonomous capabilities.
Diagnose and resolve complex issues within the Planning and Controls stack of autonomous software through log analysis and simulation. Lead the development, testing, and deployment of software fixes while creating internal tooling to automate workflows.
Design and build next-generation data curation, mining, and search applications to accelerate ML dataset generation. Collaborate cross-functionally with ML researchers and data platform teams to integrate technical solutions.
Design and build next-generation data curation, mining, and search applications to accelerate ML dataset generation. Collaborate with cross-functional teams and mentor junior engineers on best practices.
Design and build next-generation data curation, mining, and search applications to accelerate ML dataset generation. Collaborate with cross-functional teams and mentor junior engineers on best practices.
Design and build next-generation data curation, mining, and search applications to accelerate ML dataset generation. Collaborate cross-functionally with ML researchers and data platform teams while mentoring junior engineers.
Define the technical strategy and architecture for ML systems powering data discovery and model improvement for autonomous vehicles. Lead cross-functional initiatives and mentor engineers to ensure scalable, high-performance production inference.
Define the technical strategy and architecture for ML systems powering data discovery and model improvement lifecycles. Lead cross-functional initiatives to build scalable frameworks for multimodal data mining and optimized production inference.
Define the technical strategy and architecture for ML-powered data mining systems to improve autonomous driving stacks. Lead cross-functional initiatives, mentor engineers, and establish department-wide standards for ML system design and deployment.
Define the technical strategy and architecture for ML systems powering data discovery and model improvement for autonomous vehicles. Lead cross-functional initiatives and mentor engineers to ensure scalable, high-performance production inference.
Design and develop infrastructure software for vision processing, radar systems, and safety monitoring on autonomous vehicles. Provide technical mentorship to engineers and collaborate with cross-functional teams to solve complex hardware and software problems.
Design and develop infrastructure software for vision processing, radar systems, and safety monitoring on autonomous vehicles. Provide technical mentorship to engineers and collaborate with cross-functional teams to solve complex compute platform problems.
Design and develop infrastructure software for autonomous driving applications such as vision processing and radar systems. Provide technical mentorship to engineers and collaborate with cross-functional teams to solve complex hardware and software problems.
The role involves leading the research and development of novel motion planning algorithms for autonomous driving, focusing on advanced search, geometry, and probabilistic decision-making under uncertainty. Responsibilities also include architecting and integrating complex motion planning and prediction algorithms for real-world deployment and building a robust, scalable codebase.
The Principal Engineer Tech Lead Manager will build and lead a new Machine Learning Acceleration team, driving the strategy and execution of initiatives to accelerate ML model training. This role involves providing technical guidance and fostering a culture of innovation and collaboration within the team.
Lead and manage a team focused on accelerating machine learning model training. Define technical strategies and collaborate with cross-functional teams to implement solutions.
You will be responsible for training, evaluation, and deployment of ML-based models for scene understanding and behavior prediction. This includes designing experiments, implementing metrics, and releasing model updates.
The Senior Data Engineer will work with ML Engineers and Autonomy Software Developers to develop new data analysis metrics and own large-scale data analysis workflows. They will also build high-quality datasets to improve ML products and provide statistical depth on model performance.
