Lead the technical strategy and architectural design of motion planning and trajectory optimization algorithms for autonomous vehicles. Coordinate with cross-functional teams to implement safety-critical software and mentor engineering staff.
Motional
51 Remote Job Openings at Motional
Lead the technical strategy and architecture for motion planning and trajectory optimization to ensure safe and comfortable autonomous vehicle behavior. Orchestrate cross-functional alignment with prediction and control teams while mentoring senior and junior engineers.
Lead the technical strategy and architecture for motion planning and trajectory optimization to ensure safe and comfortable autonomous vehicle behavior. Orchestrate cross-functional alignment with prediction and control teams while mentoring senior and junior engineers.
Principal Engineer Tech Lead, Embodied AI & Off-Board Performance Evaluation
Motional
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Full Time
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5 days ago
Motional
Technically oversee the design and deployment of an Embodied AI and LLM-based monitoring framework for off-board autonomous vehicle scenario understanding. Lead the creation of an evaluation layer to assess driving intelligence and safety incidents using fleet data and multimodal LLMs.
Principal Engineer Tech Lead, Embodied AI & Off-Board Performance Evaluation
Motional
·
Full Time
·
5 days ago
Motional
Technically oversee the design and deployment of an Embodied AI and LLM-based monitoring framework for off-board scenario understanding and root cause analysis. Lead the creation of an evaluation layer to assess autonomous vehicle driving intelligence and safety using fleet data and drive logs.
Principal Engineer Tech Lead, Embodied AI & Off-Board Performance Evaluation
Motional
·
Full Time
·
5 days ago
Motional
Technically oversee the design and deployment of an Embodied AI and LLM-based monitoring framework for off-board scenario understanding and root cause analysis. Lead the creation of an evaluation layer to assess autonomous vehicle driving intelligence and safety using fleet data and drive logs.
Principal Engineer Tech Lead, Embodied AI & Off-Board Performance Evaluation
Motional
·
Full Time
·
5 days ago
Motional
Technically oversee the design and deployment of an Embodied AI and LLM-based monitoring framework for off-board scenario understanding and root cause analysis. Lead the creation of an evaluation layer to assess autonomous vehicle driving intelligence and safety using fleet data.
Lead and grow a high-performing team of full stack engineers to build AI data applications for ML dataset generation and search. Define the technical vision for metadata storage and AI adoption strategies to accelerate development cycles.
Build and lead a new AI Data Application team to accelerate ML dataset generation and data search capabilities. Define the technical vision for metadata storage and search platforms while mentoring a high-performing team of engineers.
Build and lead a new AI Data Application team to accelerate ML dataset generation and data search applications. Define the technical vision for metadata storage and search services while managing a team of full-stack engineers.
Lead the development of evaluation frameworks and metrics to validate the performance and safety of autonomous vehicle systems. Collaborate with engineering teams to analyze on-road and simulation data to identify edge cases and inform launch readiness decisions.
Build and enhance Agentic AI tooling and high-scale ML infrastructure using Kubernetes to empower developer productivity. Partner with researchers to optimize distributed training jobs and resolve system-level bottlenecks to maximize GPU utilization.
Lead the development of evaluation frameworks and metrics to validate the performance and safety of autonomous robotaxis. Collaborate with engineering teams to identify edge cases and ensure the autonomy stack meets rigorous safety standards for commercial launch.
Lead the development of evaluation frameworks and metrics to validate the performance and safety of autonomous vehicle systems. Collaborate with engineering teams to monitor system health, identify edge cases, and inform launch readiness decisions.
Lead the development of evaluation frameworks and metrics to validate the performance and safety of autonomous robotaxis. Collaborate with engineering teams to monitor system health, identify edge cases, and inform launch readiness decisions.
Develop and implement performance-critical motion control and trajectory optimization algorithms for autonomous vehicles. Collaborate with cross-functional teams to build integrated solutions and mentor junior engineers to foster a product-focused culture.
Develop and implement performance-critical motion control and trajectory optimization algorithms for autonomous robotaxis. Collaborate with cross-functional teams to build integrated solutions and mentor junior engineers on product-focused development.
Lead the AV Behavior Understanding and Evaluation team to define standards for safe and assertive autonomous driving. Drive the design, evaluation, and scaling of system behaviors using data-driven insights from simulation and real-world testing.
Lead the AV Behavior Understanding and Evaluation team to define standards for safe and assertive autonomous driving. Drive the design, evaluation, and scaling of system behaviors using data-driven insights from simulation and road testing.
Lead the AV Behavior Understanding and Evaluation team to define standards for safe and assertive autonomous driving. Drive the design, evaluation, and scaling of system behaviors using data-driven insights from simulation and real-world testing.
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.
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 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.
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.
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.
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.
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 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 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 models at scale, 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.
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.
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.
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 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.
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.
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.
Lead and manage a team focused on accelerating machine learning model training. Define technical strategies and collaborate with cross-functional teams to implement solutions.
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.
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.
