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.
Motional
34 Remote Job Openings at Motional
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.
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. 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 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. Develop internal tooling and lead the deployment of software fixes to accelerate autonomous capabilities.
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 to integrate technical solutions.
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.
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.
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 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.
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.
The senior engineer will define, prototype, and validate advanced metrics to evaluate the performance of machine learning subsystems in autonomous vehicles. They will also analyze large-scale on-road and simulation data to ensure system-level performance meets safety requirements for commercial deployment.
Senior Software Engineer, Autonomous Vehicle Performance Metrics
Motional
·
Full Time
·
2 months ago
Motional
Design and implement software pipelines and AI-powered tools to measure, analyze, and report on autonomous vehicle performance metrics. Collaborate with cross-functional teams to transform complex AV data into actionable insights for system improvement and safety validation.
Design, build, and maintain the network, compute, and storage infrastructure for the autonomous vehicle cloud platform. Collaborate with cross-functional teams to improve developer productivity and ensure reliable software delivery through automation and observability.
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.
