Talent Acquisition Sourcer at Motional | Pittsburgh, PA

Technical Lead Manager, Motion Planning Join our innovative Planning team at Motional, where you will leverage your expertise in robotics and software engineering to develop production-ready autonomous vehicle technology. As the Technical Lead Manager, you will guide a dedicated team focused on designing and implementing advanced motion planning software for…

Motional is on the lookout for a highly skilled Principal Engineer to join our Planning team. In this pivotal role, you will be responsible for designing motion planning and control systems that ensure safe, efficient, and comfortable operations for our fleet in intricate environments. Your expertise in cutting-edge research, advanced algorithm development, and robust software engineering will be crucial in crafting safe and intuitive routes for autonomous vehicles. If you are passionate about autonomous driving and eager to tackle real-world challenges while making a meaningful impact in a dynamic field, we would love to hear from you.Key Responsibilities:Lead the R&D of innovative algorithms and subsystems for motion planning in autonomous driving, enhancing our Operational Design Domain through advanced search-based and geometry-based methods, with a focus on probabilistic decision-making.Coordinate cross-functional projects to create or improve existing interfaces aimed at solving complex challenges.Evaluate overall system performance, identifying areas for enhancement and devising technical strategies to rectify deficiencies.Guide multidisciplinary project teams to deliver holistic solutions while considering the broader context of the planning system.Architect and integrate complex motion planning and prediction algorithms, driving their evaluation and optimization for real-world applications.Develop a robust, scalable codebase that supports rapid experimentation, prototyping, and rigorous assessment of new motion planning methodologies.Facilitate technical collaboration across perception, prediction, trajectory optimization, tracking, and control components to ensure comprehensive system performance.Utilize your extensive software development and research expertise to mentor colleagues on best practices, fostering a culture of technical excellence.Provide guidance and mentorship to both junior and senior team members, promoting an environment centered on product-focused engineering, thorough research, and advanced development.

Mission Overview: Join Motional as a Principal Engineer Team Lead, where you will spearhead a talented team dedicated to crafting and implementing advanced trajectory planning algorithms through numerical optimization for autonomous vehicles. Your leadership will play a critical role in refining the motion planning and control systems that empower our fleet to navigate intricate environments with safety, efficiency, and comfort. As a pivotal figure in our organization, you will oversee the evolution and continual enhancement of state-of-the-art trajectory generation algorithms, engaging in collaborative efforts with diverse teams including Planning, Perception, Prediction, Localization, Machine Learning Products, and Systems Engineering. Additionally, you will mentor a skilled group of engineers, guiding them to deliver innovative and high-quality solutions. If you are enthusiastic about the future of autonomous driving, eager to contribute to our commercial launch this year, and thrive on tackling complex real-world challenges, we invite you to apply! Your Responsibilities: Lead and expand a high-impact trajectory planning team, establishing its technical vision, execution strategy, and long-term role within the Motion organization. Ensure readiness for commercial launch by enhancing on-road driving behaviors (safety, comfort, and assertiveness) across the fleet through feature expansion, ongoing performance improvement, and cutting-edge innovations. Implement a rigorous, metrics-driven framework to assess and enhance on-road performance, championing the use of existing training and evaluation pipelines for scalable, production-ready solutions. Oversee the computational efficiency and real-time performance of trajectory generation algorithms, ensuring adherence to latency budgets. Lead prompt triage and root-cause analysis of fleet incidents, translating real-world edge cases into immediate algorithmic updates and validation datasets. Manage the successful implementation of complex, multi-team projects, ensuring technical consistency from design through deployment while upholding high standards for testing and validation to meet safety benchmarks for our commercial launch. Collaborate with peer leads to provide technical direction, making impactful decisions on architectural pathways, strategic investment, tactical execution, and technical debt alleviation. Ensure technical excellence through thorough design and code reviews while fostering the professional development and mentorship of your engineering team. Set and pursue ambitious objectives that encourage the team to deliver industry-leading trajectory solutions.

Senior Motion Planning Engineer (Evergreen)Join our innovative Motion Planning team at Motional, where your enthusiasm for robotics and software development will contribute to the advancement of production-ready autonomous vehicles. In this pivotal role, you will engage in groundbreaking research, devise sophisticated algorithms, and develop resilient software that enables safe, comfortable, and intuitive routing and motion for autonomous systems.Key Responsibilities:Lead the R&D of advanced algorithms for motion planning in autonomous driving, with a focus on cutting-edge search-based and geometry-based techniques, and decision-making under uncertainty emphasizing probabilistic methods.Architect and seamlessly integrate complex motion planning and prediction algorithms, driving their assessment and enhancement for real-world applications.Design and implement a scalable, high-performance codebase that promotes rapid exploration, prototyping, and critical evaluation of innovative motion planning methodologies.Facilitate technical collaboration, ensuring smooth interfacing with perception and prediction components upstream and trajectory optimization, tracking, and control components downstream, to guarantee comprehensive system performance.Utilize your extensive software development and research knowledge to educate peers on best practices, nurturing a culture of technical excellence.Mentor junior team members, fostering a product-focused engineering mindset, rigorous research, and advanced development initiatives.Qualifications:A PhD in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or a related field is preferred; alternatively, a Master's degree with 2+ years of experience in robotics, ideally within the autonomous vehicle sector.Over 5 years of research experience in robotics and motion planning, with a demonstrated history of contributing to state-of-the-art solutions.At least 3 years of C++ software development experience, emphasizing the creation of high-performance and dependable systems.Proven experience in leading technical development on complex features from problem formulation through research, implementation, and deployment in a production environment.A strong desire for continuous learning, innovation, and a commitment to advancing autonomous driving technology.Desired Skills:Familiarity with probabilistic models, including but not limited to Gaussian mixture models.

Mission Summary: Join our innovative team as a Staff/Principal Engineer specializing in Perception Capabilities. In this pivotal role, you will leverage advanced computer vision and deep learning technologies to develop state-of-the-art software solutions. Your extensive experience will encompass critical domains such as detection, classification, segmentation, and tracking, alongside essential functions like data engines, labeling policies, training pipelines, model optimization, simulation, and testing. Your commitment to excellence will drive substantial impact on our products, as you take initiative and ownership of outcomes. We are looking for someone eager to enhance the perception stack of self-driving vehicles. You will navigate unique challenges associated with safety-critical, open-world applications, ensuring rigorous engineering excellence and thorough evaluation. You will devise innovative solutions to complex issues, collaborating with interdisciplinary teams focused on capabilities to design, implement, and validate comprehensive solutions. What you’ll be doing: Lead the development and implementation of solutions that integrate perception components with downstream modules within our autonomy system. Analyze the performance of the perception subsystem, proactively identifying potential limitations regarding system-level capabilities. Document and lead cross-team efforts to resolve any identified hazards. Collaborate on innovative solutions to tackle “long tail” challenges, including synthetic data generation, advanced data mining, or utilizing language embeddings in onboard models. Depending on your expertise, you may also assist in optimizing and deploying models to vehicles, ensuring compliance with the constraints of our onboard hardware and functional requirements. Interface with systems and safety engineers, test engineers, and data analysts to ensure accurate requirements, test coverage, and performance metrics.

Join us at latitude as a Senior Software Engineer - Motion Planning where you will be at the forefront of developing advanced motion planning algorithms. This role is crucial in enhancing our autonomous systems and requires a blend of creativity and technical expertise. You will collaborate with a talented team to innovate and create solutions that shape the future of mobility.

Mission Overview:We are on the lookout for an accomplished and innovative Principal Engineer Tech Lead Manager to spearhead our new Machine Learning (ML) Acceleration team. In this key position, you will be responsible for crafting the strategy, development, and implementation of initiatives designed to significantly enhance the speed of ML model training. The ultimate objective is to substantially shorten the development cycle for new ML models and facilitate swift hot-patching for issues encountered in our autonomous vehicle services.As a hands-on leader, you will merge extensive technical knowledge in ML systems and performance enhancement with robust leadership and personnel management skills. You will have the opportunity to recruit, mentor, and cultivate a high-performing team of engineers, while promoting a culture that embraces innovation, collaboration, and ongoing improvement.Your Responsibilities:Team Leadership & Management:Assemble, lead, and manage a high-performing team of ML and infrastructure engineers focused on acceleration.Offer technical direction, mentorship, and career development pathways for team members.Encourage a collaborative and inclusive team atmosphere.Establish team objectives, priorities, and roadmaps that align with organizational goals.Technical Strategy & Execution:Articulate the technical vision and strategy for ML acceleration throughout the organization.Identify and assess cutting-edge technologies and methodologies to expedite ML training, including data pipeline optimization, large-scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.Design, develop, and deploy scalable and efficient ML acceleration solutions.Cross-functional Collaboration:Work closely with ML research, ML Training platform, and product teams to understand their requirements and seamlessly integrate acceleration solutions.Communicate intricate technical concepts and strategies to both technical and non-technical stakeholders.Serve as a technical authority and proponent for ML acceleration initiatives across the company.Impact & Measurement:Regularly assess and report on the effectiveness of acceleration initiatives.Persistently seek out further optimization and innovation opportunities.

Mission Overview: The Senior Systems Safety Engineer: Leads the design and deployment of engineering safety protocols for our autonomous vehicle systems. Responsible for conducting hazard evaluations, risk assessments, and ensuring adherence to established industry safety standards including ISO 26262, SOTIF, and ASIL. Works closely with interdisciplinary teams consisting of software, hardware, and AI engineers to embed safety measures within the design and validation phases of our autonomous vehicle technology. Key Responsibilities: Oversee the creation and implementation of system safety processes tailored for autonomous vehicle platforms. Conduct hazard analysis and risk assessments (HARA) for various AV components and subsystems. Assist in defining and verifying functional safety requirements in accordance with ISO 26262 and SOTIF (ISO 21448). Collaborate effectively with hardware, software, and AI teams to integrate safety measures into perception, decision-making, and control systems. Support the development of failure mode and effects analysis (FMEA) and fault tree analysis (FTA) for AV systems. Ensure compliance with relevant regulatory and industry safety standards, including SAE J3016, NHTSA, and UNECE WP.29. Oversee the execution of safety verification and validation plans, which include simulation, testing, and real-world driving scenarios. Engage with certification bodies and regulators to facilitate safety case documentation and approval processes. Foster a strong safety culture within the organization by providing guidance and training.

Join Motional as a Senior Supplier Quality Engineer, where you will play a crucial role in ensuring the highest quality standards for our suppliers. You will be responsible for leading quality assurance initiatives, collaborating with cross-functional teams, and driving continuous improvement across our supply chain. Your expertise will help us deliver exceptional products that enhance the safety and reliability of autonomous vehicles.

Motional is seeking a Staff Front End Engineer to join the Web Visualization Tooling team in Pittsburgh, Pennsylvania. This team builds and improves web-based tools and visualization systems that help machine learning engineers and directly support the performance and adaptability of Motional's autonomous vehicles. The work shapes feedback loops and strengthens the AV systems' responsiveness to real-world data. Key Responsibilities Define and uphold web development standards and best practices across teams. Coordinate with several groups to keep projects on track and delivered as planned. Design and scale a modern frontend ecosystem using React, TypeScript, and Vue. Work closely with teams in ML, frontend, UX, data services, data mining, and data annotation to ensure tools fit real workflows. Develop and maintain UI systems that are essential for internal stakeholders. Create user experiences that make complex, data-heavy applications approachable and intuitive. Focus on performance, scalability, and maintainability in all frontend projects. Iterate quickly and deliver results in a product-oriented setting. Requirements Strong drive to design and build user-facing visual applications with a focus on excellent UX. Extensive experience with React, TypeScript, and modern frontend architecture. Comfort with Vue. Solid understanding of product principles, especially around UX and usability. Ability to work independently and take full ownership of projects. Proven ability to drive development with minimal supervision, along with strong learning and organizational skills. Excellent interpersonal skills, including mentoring and delegating to engineers at different levels. Dedication to thorough technical design and documentation. Comfort working directly with customers to identify needs and deliver solutions. Bonus Experience Project management skills, especially with agile practices and operational excellence. Interest in delivering value continuously. Experience with backend technologies such as Node or Python. Background in game development or 3D visualization. Work Arrangement This position supports a hybrid schedule, combining remote flexibility with opportunities for in-office collaboration in Pittsburgh.

Join Motional’s cutting-edge team in Pittsburgh, located in the vibrant Hazelwood Green development, a project aimed at revitalizing the neighborhood sustainably and inclusively. Our office boasts stunning views of the Monongahela River, positioning us at the forefront of innovation in this state-of-the-art facility.Mission Summary:As a Test Specialist, you will play a pivotal role in enhancing our operations by collaborating with multiple teams, including Operations, Testing, Autonomy, Mapping, and System and Vehicle Integration Engineers. Your primary responsibilities will include executing on-vehicle tests, refining testing and verification plans, diagnosing issues, and delivering insightful test results. Effective communication across teams is essential to improving vehicle testing outcomes.Your focus will revolve around conducting on-vehicle tests, reporting findings, and optimizing testing efficiency by identifying gaps and suggesting process improvements. While efficiency is crucial, safety remains our top priority, and as a Test Specialist, you will be integral in upholding this standard.Essential Duties:Review simulation test scenarios to validate the anticipated behavior of autonomous vehicles.Provide field support for road operations.Contribute to global mapping initiatives.Track assets during drives and manage data ingestion.Support data operations and collection.Be proficient in software tools such as Confluence, Jira, and GSuite.Assist with smart city infrastructure requirements.Conduct field operations to facilitate validation processes.Execute safe, repeatable test cases over extended periods and document results to accurately assess system performance and data.Generate accurate, actionable reports regarding the state of systems and software through testing and troubleshooting.Document technical notes, replicate issues, flag real-time autonomous vehicle events, and aid in triage and resolution processes.Contribute to enhancing test execution processes and improving work efficiencies to scale operations effectively.Collaborate cross-functionally with various teams (Engineering, Operations, Mapping, etc.) to communicate updates on new features or changes, ensuring timely completion of testing.Willingness to travel domestically as needed.Perform additional duties as assigned.

Mission Overview:As a Strategic Partner Lead in Customer Success at Motional, you will play a crucial role in establishing and nurturing strategic partnerships that foster growth and create new opportunities with our key commercial partners. Reporting directly to the Senior Business Development Manager, your expertise will be vital as we transition from development to deployment, launching our commercial driverless service in Las Vegas in 2026. Collaborating with a leading ride-hail partner, you will help scale this innovative technology in multiple cities across the United States and internationally. This role demands a leader with an impressive history of forming successful alliances, negotiating intricate agreements, and managing relationships with pivotal stakeholders. You will act as the 'Voice of the Customer,' maintaining relationships across all organizational levels, and significantly influence our commercial strategy to ensure our operations evolve into substantial revenue-generating activities.This role will require travel up to 40% of the time based on business needs and partnership objectives.

Mission OverviewAs a Senior Electrical Engineer within the Vehicle Platform Engineering team, you will play a pivotal role in designing power and signal distribution systems for Autonomous Vehicles. We seek an individual proficient in the hardware design lifecycle, who thrives in a dynamic environment and can quickly adapt to evolving challenges. You will collaborate cross-functionally to gather essential details for establishing connections, generate comprehensive system diagrams, electrical schematics, and wiring harness diagrams, and assist in the creation of assembly and build documentation. Additionally, you will develop detailed component and system qualification, validation test plans, and lead testing efforts.We value detail-oriented problem solvers with strong critical thinking and time management skills who can effectively work both independently and as part of a team. You will engage with colleagues from diverse backgrounds and contribute to innovative processes that enhance our work.The Motional Pittsburgh office is situated in the state-of-the-art Hazelwood Green development, embodying the city's commitment to revitalizing the neighborhood in a thoughtful, inclusive, and sustainable manner. With beautiful views along the Monongahela River, our office is at the heart of this vibrant new community.

Join Motional at our cutting-edge Pittsburgh office, situated in the dynamic Hazelwood Green development. This innovative location is part of the city’s initiative to revitalize the area with sustainable and inclusive economic growth, offering stunning views along the Monongahela River.This position is on-site at our Pittsburgh facility, requiring five days in the office each week.Mission Overview:As a Senior PLM/PDM Engineer, you'll play a crucial role in ensuring the seamless operation of Motional's PLM/PDM systems and engineering toolchains. You will be the primary resource for troubleshooting and addressing any issues related to CAD tools, data management, and PLM-ERP integration. Collaborating with cross-functional teams, including engineering, design, operations, and suppliers, you will support daily development efforts while promoting continuous process and documentation improvements.

About the Role Motional is hiring a Senior Component Systems Engineer focused on Camera Sensors in Pittsburgh, Pennsylvania. This position plays a key part in advancing sensor technology for autonomous vehicles. The engineer will help strengthen camera sensor systems, supporting both safety and performance across Motional’s products.

Mission Overview: Join our dynamic Component Engineering Team based in Pittsburgh as a Senior Hardware Engineer specializing in Radar Components. In this pivotal role, you will spearhead the design and development of cutting-edge radar technology that drives advanced mobility solutions. Your responsibilities will encompass overseeing the entire radar component design process, from initial concept through to production, including requirements definition, supplier selection and management, system integration, testing and validation, issue resolution, and ensuring readiness for full-scale production. This is a hybrid role requiring onsite presence in Pittsburgh, PA. Key Responsibilities: Take charge of technical supplier management, coordinating activities and project milestones between internal and external stakeholders. Compile, define, and uphold comprehensive sets of requirements for radar components. Collaborate across various teams including Perception, Systems, Mechanical, Vehicle, Manufacturing, Quality, Software, Cybersecurity, Diagnostics, and Reliability. Develop and support testing for machine learning-based algorithms, including test design, planning, execution, and data collection. Lead radar acceptance, performance, and characterization testing to ensure robust system performance. Support and drive vehicle integration initiatives for radar systems. Conduct root cause analyses and oversee issue resolution to maintain high quality and reliability standards. Lead continuous improvement projects focused on radar components.

The ML Data Services team at Motional is on the lookout for a highly skilled and driven Staff Technical Lead Manager (TLM) to spearhead the design and operation of our essential machine learning data infrastructure. This pivotal position demands a unique combination of extensive technical knowledge in machine learning systems, large-scale data processing, and a proven track record of leadership to guide both individual contributors and the technical direction of the team.The ML Data Services team plays a crucial role in delivering reliable, high-quality, and easily accessible data for all machine learning applications. As the custodians of the 'Data Engineering' phase in the ML lifecycle, they oversee the most vital component of any ML system: the data itself. Our infrastructure supports hundreds of data pipelines and manages petabytes of data, which are integral to the success of our flagship products.

Motional’s Pittsburgh office is situated in the vibrant Hazelwood Green development, a key initiative aimed at revitalizing the local economy in a thoughtful, inclusive, and sustainable manner. With scenic views of the Monongahela River, our office is at the forefront of this cutting-edge development.Mission Overview:As the Senior Engineering Safety Manager, you will play a pivotal role in defining and steering comprehensive technical safety cases for our advanced autonomous driving systems. You will collaborate cross-functionally with safety, engineering, legal, and regulatory teams to ensure our technology is not only fit for purpose but also exceeds industry standards. This position demands a profound understanding of functional safety, systems engineering, and the seamless integration of AI-driven perception and control technologies.Your expertise in safety assurance, functional safety, and regulatory compliance will be essential in demonstrating the safety of our autonomous systems. Additionally, you will lead and manage a team of safety engineers who work closely with AI/ML, computer vision, robotics, hardware, and software teams to ensure our autonomous vehicles adhere to and surpass safety and regulatory expectations.Key Responsibilities:Lead and mentor the Safety Engineering team, promoting a culture of technical excellence and a safety-first mindset.Develop the company’s safety engineering strategy, aligning it with industry standards, regulatory frameworks, and organizational goals.Represent safety engineering in high-level discussions, technical reviews, and interactions with customers and regulatory bodies.Safety Engineering:Ensure compliance with pertinent regulations and standards.Conduct safety assessments for AI and computer vision systems, tackling challenges related to non-deterministic behavior, perception uncertainty, and machine learning robustness.Drive the creation of customized technical safety case elements for our autonomous driving systems.Establish technical safety case strategies, argument structures, and evidence collection methods to validate the safety and reliability of AV technologies.Develop safety argumentation frameworks and assurance cases in collaboration with cross-functional teams—including systems engineering, AI/ML, perception, control, and validation—to embed safety considerations into system design.

Motional, based in Pittsburgh, develops autonomous vehicles with a strong focus on safety, reliability, and accessibility. Supported by Hyundai Motor Group, Motional is committed to advancing physical AI and shaping the future of transportation. The company’s mission centers on making streets safer and encouraging sustainable mobility. The Systems Readiness and Performance team connects software development with real-world deployment. This group handles system design, verifies and validates the autonomy stack, and sets as well as measures performance benchmarks. Team members work closely with autonomy, infrastructure, and operations partners to build the safety case for launching fully driverless IONIQ 5 robotaxis in Las Vegas. Role overview The Senior Engineer, Machine Learning Systems for Autonomy, joins the Autonomy Subsystems team to design and evaluate software modules that power autonomous vehicles. The role centers on assessing machine learning subsystems using offline model evaluations, open and closed-loop re-simulations, and on-road performance analysis. Defining and validating metrics that reflect subsystem performance is a key part of the job, along with sharing insights to help machine learning developers improve the models used in vehicles. What you will do Design and evaluate machine learning software modules for autonomous vehicles Conduct offline assessments of models and analyze results from re-simulations Evaluate the on-road performance of machine learning models Define and validate metrics to measure autonomy subsystem performance Collaborate with machine learning developers to support improvements in deployed models Requirements Experience as a systems engineer, with a background in safety-critical systems and machine learning model evaluation Interest in autonomy, robotics, and machine learning Prepared to help build production-ready systems for robotaxi deployment