Motional

Machine Learning Engineer

• Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
• Reinforcement Learning for Data Discovery: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
• Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
• Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
• Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
• Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

Senior Machine Learning Engineer, Data Mining

Backend Engineer

• Develop, maintain and support C++ software that enables Remote Vehicle Assistance
• Collaborate with C++ applications and UI engineers to pass data between software running on the autonomous vehicle and software running on remote stations
• Collaborate with C++ software components on the autonomous vehicle to integrate Remote Vehicle Assistance capabilities
• Test-driven development of new features supporting the autonomous vehicle
• Develop and maintain a comprehensive integration and simulation test suite to test all software before it goes to production
• Collaborate with systems and operations teams to develop a product that fits both customer needs and system requirements
• Collaborate with testing and operations engineers to support Motional’s on-road testing

C++ Software Engineer – Remote Vehicle Assistance

Full-stack Engineer

• Define, lead and execute computer-vision based mapping projects that improve our self-driving vehicles’ capability to efficiently map roadways and localize itself using vehicle and remote sensing data
• Develop methods to monitor changes to the environment and update maps accordingly
• Integrate visual maps with LIDAR-derived maps to create consistent fused world maps
• Productionize and deploy solutions onto autonomous vehicle fleets
• Collaborate with LIDAR-based localization and mapping, and perception teams to improve our vehicle’s on-road performance

Principal Engineer

• Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration.
• Provide technical guidance, mentorship, and career development opportunities to team members.
• Foster a collaborative and inclusive team environment.
• Define team goals, priorities, and roadmap in alignment with company objectives.
• Define the technical vision and strategy for ML acceleration across the organization.
• Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training.
• Design, develop, and implement scalable and efficient ML acceleration solutions.
• Collaborate closely with ML research, ML Training platform, and product teams.
• Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.
• Act as a technical expert and advocate for ML acceleration initiatives across the company.
• Regularly measure and report on the impact of acceleration efforts.
• Continuously seek opportunities for further optimization and innovation.

Principal Engineer, Tech Lead – ML Acceleration

Software Engineer

• Define the long-term vision and strategy for our robotics efforts within the autonomous vehicle program. This includes identifying key technological challenges and opportunities, and setting the roadmap for hardware and software development.
• Lead, mentor, and grow a team of talented robotics engineers, software engineers, and managers. Foster a culture of innovation, collaboration, and excellence.
• Oversee the architectural design and implementation of our on-vehicle systems, including embedded software, runtime middleware, IPC, AI accelerators, Sensor Pipelines, Operating Systems and Simulation Infrastructure. Ensure these systems are scalable, reliable, and safe for our autonomous driving applications.
• Work closely with other engineering teams (e.g., AI/ML, hardware, and safety) to ensure safe, reliable and optimized architecture across our autonomous driving platform.
• Manage budgets, timelines, and resources effectively to meet project goals. This includes making strategic decisions on build-versus-buy, external partnerships, and research initiatives.
• Serve as a subject matter expert in Software, Hardware Accelerators and Real Time Embedded Systems, staying abreast of the latest industry trends, research, and technological advancements. Provide technical guidance and oversight on complex engineering challenges.

Senior Director, Engineering

Procurement

• Manage strategic sourcing process and negotiate contracts at a sophisticated level
• Effectively collaborate with cross functional stakeholders (internal and external) to develop sourcing strategies that align with budget, focus on reducing cost and mitigating risk.
• Align on sourcing initiatives with several teams including but not limited to Legal and Finance, Engineering, IT, Cybersecurity, and Executive leadership
• Develop and manage sourcing events (RFx’s) and vendor selection processes.
• Manage supplier management programs with defined SLAs and KPIs for key suppliers and measure the appropriate criteria, such as: delivery of business results, cost reduction, quality and timeliness of delivery
• Understand interrelationships between contracts and terms while applying creativity and sound business reasoning to interpret application of contract to business needs.
• Support supplier onboarding and purchase requisition programs for internal stakeholders to ensure compliance with Procure to Pay policies and procedures.
• Communicate, manage, and drive compliance to category strategies
• Conduct research, perform benchmarking, and gather market analysis for assigned categories
• Establish preferred suppliers for assigned categories
• Ability to work flexible hours and support a global workforce

Strategic Sourcing Manager, Indirect Procurement

• Design, build, and deploy core components of our ML infrastructure platform on Kubernetes.
• Develop robust and scalable services that support the entire ML lifecycle, from data ingestion and processing to model training and evaluation.
• Write high-quality, maintainable code for high-throughput systems that handle petabytes of data.
• Own features and systems end-to-end, driving them from initial design through to production deployment and operation.

Senior Software Engineer, ML Infrastructure

• Drive the end-to-end design, implementation, and testing of high-performance C++ software for our onboard and offboard localization and localization-related pipelines.
• Conduct code reviews and guide junior team members on code quality, correctness and efficiency
• Work with the mapping team to establish the API for localization-mapping interaction
• Provide technical leadership across the organization in the areas of code quality and design
• Collaborate with the team of algorithm experts within perception, motion planning and controls