Motional

Frontend Engineer

• Drive cross-team standards and best practices for web development
• Own cross team collaboration, ensuring deliveries are made on time and effectively
• Architect and scale a modern frontend ecosystem using React, TypeScript, and Vue.
• Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to align tooling with real-world workflows
• Build mission-critical UI systems used by a variety of internal customers.
• Design initiative experiences for complex, data-heavy workflows.
• Drive best practices around performance, scalability and maintainability
• Ship quickly and iterate in a product driven environment.

Staff Front End Engineer

Full-stack Engineer

• Architect State-of-the-Art Solutions for motion planning and trajectory optimization algorithms
• Own the design of scalable software that impacts on-road performance
• Establish code quality benchmarks and lead architectural code/design reviews
• Define modern development toolchains for rapid development cycles

Staff Motion Planning Engineer – Trajectory Generation

• Define, justify, and navigate complex system trade-offs and highly technical concepts
• Lead architectural co-design and alignment with adjacent teams
• Author high-impact project proposals that anchor long-term technical roadmaps
• Cultivate the technical growth of senior and junior team members

AI Engineer

• Technically oversee the architecture to identify, describe, and enrich events in historical vehicle logs using Multimodal LLMs.
• Oversee the off-board ingestion and fusion of semantic scene descriptions, ego-centric kinematics, and internal autonomy telemetry to create a holistic diagnostic context for LLM inference.
• Develop structured prompting templates utilizing Contextual Prompting (CP), Chain-of-Thought (CoT), and In-Context Learning (ICL) to evaluate scenarios.
• Architect the integration of foundation models into the Metrics Engine (ME), designing efficient cascade filtering and log slice parallelization strategies to scale high-volume LLM inference across simulation and on-road drive logs while managing computational latency and costs.
• Define, design, and implement key metrics to evaluate autonomous vehicle performance, such as lane change capability, oscillations, and braking.
• Deploy and manage a Retrieval-Augmented Generation (RAG) vector database containing codified AV Driving Policies to ground off-board LLM evaluations in specific Operational Design Domains.
• Serve as a technical escalation point and collaborate with Autonomy (Planner, Prediction, Perception) and Systems teams to deliver high-signal, enriched events.
• Drive the transition toward Direct Vector-LLM Fusion utilizing emerging Physical AI ecosystems and open-weights Vision-Language-Action (VLA) models to process telemetry off-board without text-translation bottlenecks.

Principal Engineer – Tech Lead, Embodied AI, Off-Board Performance Evaluation

Data Scientist

• Build, lead, and manage a high-performing team of full stack web engineers.
• Define team goals, priorities, and roadmap in alignment with company objectives.
• Provide technical guidance, mentorship, and career development opportunities to team members.
• Define the technical vision and strategy for building services and web platforms for storing and searching metadata and forming datasets.
• Define AI adoption strategy for frontend codebase and UX projects to speed up development and time to market.
• Identify and evaluate cutting-edge technologies and methodologies for querying through datasets stored in various types of databases (think images in vector store, metadata in Postgres, etc) and APIs owned by several teams across the company.
• Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly.
• Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.

Principal Technical Lead Manager – AI Data Applications

• Lead the development of evaluation frameworks for the autonomous system
• Collaborate closely with Functional Safety and Systems Engineering teams
• Ensure evaluation metrics are reliable enough to inform safety cases
• Monitor the reliability of evaluation metrics and incoming performance data over time
• Drive our approach to performance analysis using data-backed statistical methods
• Develop new statistical analysis methods to analyze AV performance data
• Partner with triage operators to turn raw disengagements into scenarios
• Use fleet and evaluation data to identify edge cases in an automated manner
• Build confidence in the evaluation framework through data-driven insights
• Establish correlation between on-road and simulation data
• Make sense of large datasets to drive insights
• Establish a self-service model for developers
• Develop new metrics, interpret trends, and investigate anomalies
• Collaborate with developers to drive action based on these results
• Serve as an advisor and influence collaborators across multiple teams
• Mentor and collaborate with fellow engineers
• Introduce the use of ML methods for performance evaluation

Senior Data Scientist, Systems Performance

• Lead the development of evaluation frameworks for the autonomous system
• Collaborate closely with Functional Safety and Systems Engineering teams
• Monitor the reliability of evaluation metrics and performance data
• Drive our approach to performance analysis using data-backed statistical methods
• Build confidence in the evaluation framework through data-driven insights
• Establish correlation between on-road and simulation data
• Establish a self-service model for developers
• Mentor and collaborate with fellow engineers

Technical Program Manager

• Own the coordination, tracking, and communication of high-priority strategic projects that span multiple internal teams.
• Serve as the primary point of contact for the CoS with departmental leads, ensuring alignment, surfacing roadblocks, and maintaining momentum on key initiatives.
• Prepare agendas, presentations, and follow-up documentation for internal strategy reviews and project steering committee meetings.
• Conduct analytical review and drafting/editing of responses to high-stakes internal and external communications.
• Digest complex technical, financial, and operational information into clear, concise, and strategic summaries for executive consumption and decision-making.
• Prepare the CoS for meetings by providing timely and relevant research, talking points, and data-driven insights.
• Assist the CoS in managing and prioritizing their strategic calendar, aligning time and resources with the company's highest priorities.
• Identify and implement efficiencies in organizational processes and reporting structures to streamline the CoS office operations.
• Conduct rapid, targeted research and analysis on emerging business opportunities or threats to inform strategic planning.

Senior Technical Program Manager

• Develop state-of-the-art motion control and trajectory optimization algorithms to ensure safe and comfortable vehicle motion
• Design and build robust and scalable software that enables real on-road impact by evaluating different control techniques and motion planning algorithms
• Provides high-quality code and design reviews (C++) based on a deep understanding of the teams’ services and technologies
• Leverage modern development toolchains, including testing, simulation, and continuous integration, to enable rapid development cycles
• Understand and explain trade-offs, complex concepts to peers and leaders to drive decisions
• Collaborate with teams working on (ML) decision/behavior planning, prediction, and vehicle control to build comprehensive and integrated solutions
• Create project proposals that drive long-term technical roadmaps and span multiple sub-systems
• Mentor junior team members to develop a culture of product-focused engineering, research, and development

Senior Motion Planning Engineer – Trajectory Generation

Machine Learning Engineer

• Design, develop, and enhance Agentic AI tools and systems to automate workflows
• Drive the continuous development of our core ML infrastructure and existing CDE platform
• Partner closely with ML Researchers to profile and optimize distributed training jobs and data pipelines
• Collaborate with ML engineers and data scientists to understand complex needs

Software Engineer, ML Dev Enablement

• Develop, train, and fine-tune machine learning models for multimodal sensor data (e.g., vision, LiDAR).
• Implement scalable data preprocessing and augmentation pipelines.
• Help develop embedding-based search tools and 'active learning' workflows.
• Help build and maintain dashboards to monitor model health, data drift, and system performance.
• Follow software engineering standards for ML code and participate in code reviews.
• Work closely with senior engineers and machine learning engineers to translate model prototypes into maintainable engineering solutions.

Machine Learning Engineer, Data Mining

• Build and Train ML Pipelines: Develop, train, and fine-tune machine learning models for multimodal sensor data.
• Support Model Deployment: Implement scalable data preprocessing and augmentation pipelines.
• Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows.
• Monitor Production Performance: Build and maintain dashboards to monitor model health.
• Learn and Apply Best Practices: Follow software engineering standards for ML code.
• Collaborate Across Teams: Work closely with senior engineers and machine learning engineers.

• Drive Strategic Initiatives: Own and execute large-scale, complex technical programs critical to Motional's roadmap, focusing on model development and release cycles
• Lead Cross-Stack Integration: Serve as the Directly Responsible Individual (DRI) for high-level behavioral capabilities, managing dependencies across Prediction and ML Planning teams
• Dive Deep Technically: Facilitate trade-off discussions and drive teams to robust solutions
• Identify and Resolve Blockers: Communicate technical risks and dependencies, develop mitigation strategies for high-priority issues
• Influence Roadmaps: Ensure ML and behaviors roadmap is well-defined and aligned with company goals

Staff Technical Program Manager

• Drive Strategic Initiatives: Own and execute large-scale, complex technical programs critical to Motional's roadmap, focusing on model development and release cycles, while ensuring alignment between senior engineering leaders, product managers, and executive stakeholders.
• Lead Cross-Stack Integration: Serve as the Directly Responsible Individual (DRI) for high-level behavioral capabilities, managing dependencies and driving integration efforts across Prediction and ML Planning teams to successfully launch large models.
• Dive Deep Technically: Go beyond surface-level program tracking. Dive deep into ML and behavioral issues to facilitate trade-off discussions, and drive teams to convergence on robust solutions.
• Identify and Resolve Blockers: Proactively identify, quantify, and communicate technical risks and dependencies. You will be expected to develop and execute mitigation strategies for high-priority issues that could impact our driverless milestones.
• Influence Roadmaps: Partner deeply with engineering and product leadership to ensure the ML and behaviors roadmap is well-defined, integrated, and aligned with top-level company goals.

• Define and execute motion planning and prediction projects that improve our self-driving vehicles’ capability to safely, comfortably and legally navigate complex traffic scenarios
• Design and lead the implementation of behavior models that leverage the latest advancements in machine learning, generative AI and reinforcement learning
• Productionize and deploy solutions onto autonomous vehicle fleets
• Collaborate with perception, simulation, data platform and integration teams to validate and enhance your products’ on-road performance
• Communicate strategies, progress and challenges to executive leadership