Autonomous Fleet Specialist

🏢 Summary: Operations Specialist role supporting autonomous truck testing and commercial freight operations, focused on safe operation of self-driving vehicles and system feedback. The position includes operating autonomous trucks on public roads, monitoring system performance, and maintaining strict safety compliance. Benefits include competitive hourly pay, bonus opportunities, full healthcare coverage, retirement matching, and open PTO. 🗂️ Requirements: 7+ years of Class A driving experience, Valid Class A CDL, Airbrake Endorsement, Current DOT Medical Certificate, Strictly clean MVR, No reckless driving or license suspensions/revocations, No moving violations within the last 7 years, Pass pre-employment drug/alcohol screening, Pass sleep apnea screening, Ability to operate autonomous trucks safely on public roads 📃 Skills: CDL, DOT, Autonomy, Trucking, Smartphone, Tablet 🏢 Description: About Stack: Stack is developing AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency in trucking transportation. The company develops autonomous technology using artificial intelligence, robotics, machine learning, and cloud technologies. About the Team: The Development Fleet Operations team is responsible for the safe testing and operation of new technologies. As an Operations Specialist you will contribute to the daily driving and testing of autonomous trucks, ensure operational safety, and provide feedback on system performance while hauling commercial freight. Responsibilities: - Safely operate autonomous trucks on public roads to support development testing and commercial pilot operations - Haul commercial freight between customer locations and/or meet points - Provide feedback on system performance to advance self-driving technology - Utilize internal tools on a smartphone/tablet to track assigned and completed work - Uphold industry-leading safety standards and remain compliant with internal benchmarks - Remain alert and attentive while operating during extended stretches of autonomy Benefits & Perks: - Compensation: $32.00 – $37.00/hr + Annual Bonus + Profit Sharing - Stack covers 100% of Medical, Dental, and Vision healthcare premiums for employees and families - 401(k) plan with company match and annual profit-sharing contribution - Open PTO policy and 11 paid company holidays - 100% no-touch freight with no loading or unloading of trailers Qualifications & Safety Standards: - 7+ years of Class A driving experience - Valid Class A CDL with Airbrake Endorsement - Current DOT Medical Certificate - Strictly clean MVR required - No history of reckless driving, leaving the scene of an accident, or license suspensions/revocations - No moving violations within the last 7 years, including speeding, distracted driving, improper lane changes, or unlawful passing - Must pass pre-employment drug/alcohol screening and sleep apnea screening Additional Information: This position may require verification of residence, U.S. person status, and/or citizenship status due to applicable national security laws and export control regulations.

🏢 Summary: Operations Specialist role supporting autonomous truck testing and commercial freight operations by safely operating self-driving trucks, monitoring system performance, and maintaining strict safety standards. The position offers competitive hourly compensation, bonus opportunities, full healthcare coverage, and retirement benefits. 🗂️ Requirements: 7+ years of Class A driving experience, Valid Class A CDL, Airbrake Endorsement, Current DOT Medical Certificate, Strictly clean MVR, No moving violations within the last 7 years, Ability to pass drug and alcohol screening, Ability to pass sleep apnea screening 📃 Skills: CDL, DOT, Airbrake, Smartphone, Tablet 🏢 Description: About Stack: Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering the creation of innovative solutions for the trucking transportation industry. About the Team: The Development Fleet Operations team is responsible for the safe testing and operation of the newest technologies. As an Operations Specialist you will contribute to the daily driving and testing of autonomous trucks, own the safety of the operation, and provide feedback on system performance and behaviors while hauling commercial freight. Responsibilities: - Safely operate autonomous trucks on the public roads to support development testing and commercial pilot operations. - Haul commercial freight between customer locations and/or meet points. - Provide feedback on system performance to advance self-driving technology. - Utilize internal tools on a smartphone/tablet to track work assigned and completed. - Uphold industry-leading safety standards, remaining compliant with internal benchmarks. - Remain alert and attentive while operating during extended stretches of autonomy. Benefits & Perks: - Compensation: $32.00 – $37.00/hr + Annual Bonus + Profit Sharing - Stack covers 100% of Medical, Dental, and Vision for employees and their families. - 401(k) plan with generous company match and annual profit-sharing contribution. - Open PTO policy and 11 paid company holidays. - 100% no-touch freight with no loading or unloading of trailers. Qualifications & Safety Standards: - 7+ years of Class A driving experience. - Valid Class A CDL with Airbrake Endorsement and current DOT Medical Certificate. - Strictly clean MVR with no history of reckless driving, leaving the scene of an accident, or license suspensions/revocations. - No moving violations within the last 7 years, including speeding, running red lights/stop signs, failure to yield, tailgating, improper turns/lane changes, distracted driving, seat belt violations, or unlawful passing. - Must pass pre-employment drug/alcohol screening and sleep apnea screening. The workplace is committed to equal opportunity, inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity. Please Note: This position may be contingent upon verification of residence, U.S. person status, and/or citizenship status due to applicable U.S. national security laws and export control regulations.

🏢 Summary: Staff Software Engineer role leading development of operational tools for a commercial Autonomous Vehicle ride service, acting as the key technical bridge between Operations and global Engineering. The position focuses on building scalable fleet management and orchestration systems while providing hands-on production support. Based in Las Vegas, it combines distributed systems design, product thinking, and stakeholder alignment. 🗂️ Requirements: 8+ years professional software engineering experience, Proven experience designing and building distributed systems, Strong product mindset with ability to translate operational needs into technical solutions, Experience supporting production systems, Ability to manage stakeholders and collaborate with remote engineering teams, Proficiency in Golang or Python, Experience building cloud services with SQL and NoSQL databases, Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience) 📃 Skills: Golang, Python, SQL, NoSQL, AWS, Docker, Terraform, ClickHouse, OLAP 🏢 Description: Mission Summary: Join as a key technical leader in Las Vegas to launch a commercial Autonomous Vehicle (AV) ride service. The role focuses on bridging Operations and the global Engineering team by leading development of critical operational tools such as fleet management and orchestration systems, ensuring technology meets real-world needs. What You'll Be Doing: Hands-on Development & Leadership - Build High-Impact Ops Tools: Lead the coding and delivery of frontend and backend services used daily by Operations to monitor and manage the fleet, balancing long-term scalability with immediate operational needs. - Act as the primary engineering presence at the Las Vegas AV operation center, providing real-time technical support and troubleshooting. - Interview and onboard new hires, mentor junior engineers, and define workflows (handovers, async communication, documentation standards) to enable collaboration between Las Vegas and Singapore. Product Engineering & Stakeholder Alignment - Own the "Ops-to-Tech" Bridge: Partner with Operations, Product, and TPMs to translate real-world fleet challenges into actionable technical requirements for the global engineering team. - Shape the Tooling Roadmap: Drive the vision for fleet management and orchestration systems, identifying impactful problems to improve fleet efficiency and reduce manual work. - Feedback Loop Architect: Design processes and features that convert operational feedback into quantitative data to prioritize platform improvements. What We're Looking For: - 8+ years of professional experience as a software engineer with a track record of designing and building distributed systems. - Strong product mindset focused on delivering operational value. - Experience supporting production systems with strong communication skills. - Ability to manage stakeholders and collaborate effectively with remote teams. - Proficiency in Golang or Python for web services and scripting. - Experience building cloud services using SQL and NoSQL databases. - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent practical experience). Bonus Points (not required): - Experience with Amazon Web Services (AWS), Docker, and Terraform. - Experience with OLAP databases (e.g., ClickHouse) or building observability tools for monitoring and tracing. - Experience in Autonomous Vehicle (AV), Robotics, or IoT industries. Compensation & Benefits: Salary Range: $172,000—$229,000 USD (base salary). This role may include additional compensation such as bonus or company equity. Benefits may include medical, dental, vision, 401k with company match, health savings accounts, life insurance, pet insurance, and more.

🏢 Summary: Lead the research, architecture, and deployment of advanced motion planning and control systems for production autonomous vehicles operating in complex environments. The role focuses on developing state-of-the-art probabilistic and search-based algorithms, building high-performance C++ systems, and driving cross-functional integration across the full autonomy stack. Ideal for a senior robotics expert passionate about scaling safe and comfortable autonomous driving solutions. 🗂️ Requirements: PhD in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or related field; or Master’s degree with 7+ years robotics experience, 10+ years research experience in robotics or motion planning, 5+ years C++ development experience in high-performance, reliable systems, Proven experience leading complex technical features from research to production deployment, Experience developing motion planning algorithms for autonomous systems 📃 Skills: C++, Robotics, MotionPlanning, Algorithms, ProbabilisticModels, GaussianMixtureModels, HiddenMarkovModels, ParticleFilters, MachineLearning, BayesianInference, Bazel, TrajectoryOptimization, ControlSystems 🏢 Description: Description Motional is seeking a technical expert for its Planning team to define motion planning and control systems for secure, effective, and comfortable fleet operation in complex environments. This role requires expertise in cutting-edge research, advanced algorithm development, and robust software building to generate safe, comfortable, and intuitive routes and motions. The position focuses on contributing to production-ready autonomous vehicles. Role Responsibilities - Lead the research and development of novel algorithms and sub-systems for motion planning in autonomous driving, expanding the Operational Design Domain, including advanced search-based and geometry-based methods and probabilistic decision-making under uncertainty. - Lead cross-functional projects to define new or upgrade existing interfaces. - Monitor overall system performance, identify areas for improvement, and develop technical strategies to address deficiencies. - Guide cross-functional teams to deliver comprehensive solutions beyond the planning system scope. - Architect and integrate motion planning and prediction algorithms, driving evaluation and refinement for real-world deployment. - Design and build a robust, scalable, high-performance codebase for rapid prototyping and rigorous evaluation. - Collaborate with perception, prediction, trajectory optimization, tracking, and control teams to ensure end-to-end system performance. - Mentor and guide team members, promoting product-focused engineering and rigorous research. What We’re Looking For - PhD preferred in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or related field; or Master’s degree with 7+ years of robotics experience. - 10+ years of research experience in robotics or motion planning with demonstrated impact. - 5+ years of C++ software development experience building high-performance and reliable systems. - Experience leading technical development from problem formulation through research, implementation, and production deployment. - Strong drive for innovation and technical leadership in autonomous driving. Skills Appreciated - Experience with probabilistic models such as Gaussian mixture models, Hidden Markov Models, and Particle Filters. - Experience with machine learning techniques, including Bayesian modeling and inference for decision-making under uncertainty. - Experience with the Bazel build framework. Compensation and Benefits - Salary Range: $240,000—$330,000 USD (base salary). - Eligible for additional compensation such as bonus or company equity. - Benefits may include medical, dental, vision, 401k with company match, health savings accounts, life insurance, pet insurance, and more.

🏢 Summary: The role focuses on leading verification and validation of autonomous vehicle software, ensuring autonomy platform components meet requirements through simulation, automated testing, and data-driven analysis. You will own verification processes across modules such as localization, motion planning, and control, while enhancing simulation tools and CI infrastructure. The position requires strong systems engineering expertise and software development skills to validate AV releases before deployment. 🗂️ Requirements: Bachelor’s degree in Engineering (MS/PhD preferred), 3+ years of experience in automotive, robotics, or related industry, Experience in systems engineering and verification & validation (V&V), Experience working with requirements and performance metrics, Knowledge of autonomous vehicle stack, Experience verifying complex systems, Strong fundamentals in mathematics, engineering, and physics, Understanding of vehicle dynamics, Strong programming skills in Python, C++, or Rust, Proficiency in data analysis and statistics 📃 Skills: Python, C++, Rust, CI, Simulation, Statistics, Data-analysis, Localization, Motion-planning, Control-systems 🏢 Description: A strong focus will be on: - Creating verification plans for autonomous vehicle subsystems based on requirements. - Developing and maintaining test infrastructure including simulation, Continuous Integration (CI) and analytics dashboards. - Automated test execution and reporting. You will… - Own the verification of autonomy platform software against requirements and define ways to evaluate them efficiently and effectively. - Act as a central point of contact for verification of code modules including localization, motion planning and control. - Define necessary improvements for our highly realistic simulator to effectively verify autonomous platform aspects under all required conditions. - Own the writing and tracking of tests and test executions in line with company project milestones. - Create statistical analysis methods to inspect platform performance across large datasets. - Implement tools and methodologies to streamline and automate the platform verification processes. - Work closely with multiple engineering teams to validate AV software releases before physical deployment. - Bring an in-depth understanding of sensors, compute and actuators used in self-driving systems. Qualifications: - Bachelors in an engineering discipline (MS/PhD preferred) with 3+ years of experience in automotive, robotics, or a related industry. - Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. - Proven experience in systems engineering, verification and validation (V&V), and working with requirements and metrics. - Knowledge of the typical autonomous vehicle stack. - Experience in verification of complex systems. - Strong fundamentals in mathematics, engineering and physics and basic understanding of vehicle dynamics. - Strong software development skills (Python, C++, or Rust) with proficiency in data analysis and statistics. Bonus/nice to have: - Experience developing and launching products in the autonomous vehicle or robotics industries. - Experience with high-fidelity simulation systems. - Experience building software systems from scratch. Salary Range: - US: $133,650 - $222,000 USD plus equity incentive awards and annual performance bonus. - Canada: $154,289 - $220,000 CAD plus equity incentive awards and annual performance bonus. Perks/Benefits: - Competitive compensation and equity awards. - Health and Wellness benefits including Medical, Vision and Dental coverage. - Unlimited Vacation. - Flexible hours and Work from Home support. - Daily drinks, snacks and catered meals (when in office). - Regularly scheduled team building activities and social events.

🏢 Summary: Senior technical role in the Planning team focused on leading research, architecture, and development of advanced motion planning and control systems for autonomous vehicles operating in complex environments. The position drives algorithm innovation, system integration, and production deployment while mentoring engineers and collaborating cross-functionally. Ideal for an expert in robotics and high-performance C++ development with extensive experience in motion planning and probabilistic decision-making. 🗂️ Requirements: PhD in Robotics, Computer Science, Computer Engineering, Mechanical Engineering or related field OR Master’s degree with 7+ years robotics experience, 10+ years research experience in robotics or motion planning, 5+ years professional C++ software development experience, Proven experience leading complex technical projects from research to production deployment, Experience developing high-performance, reliable systems, Experience architecting and integrating motion planning algorithms, Strong background in probabilistic approaches for decision-making under uncertainty 📃 Skills: C++, Robotics, MotionPlanning, Algorithms, ProbabilisticModels, GaussianMixtureModels, HiddenMarkovModels, ParticleFilters, MachineLearning, BayesianModeling, Bazel, TrajectoryOptimization, ControlSystems, Prediction, SearchAlgorithms, GeometryAlgorithms 🏢 Description: Description: Motional is seeking a technical expert for its Planning team to define motion planning and control systems for secure, effective, and comfortable fleet operation in complex environments. This role requires expertise in cutting-edge research, advanced algorithm development, and robust software building to generate safe, comfortable, and intuitive routes and motions. The position focuses on contributing to production-ready autonomous vehicles through innovative and scalable planning solutions. Role Responsibilities: - Lead the research and development of novel algorithms and sub-systems for motion planning in autonomous driving, expanding the Operational Design Domain, including advanced search-based and geometry-based methods and probabilistic decision-making under uncertainty. - Lead cross-functional projects to define new or upgrade existing interfaces to solve problems. - Monitor overall system performance, identify improvement areas, and develop technical strategies to address deficiencies. - Guide cross-functional teams to deliver comprehensive solutions beyond the planning system scope. - Architect and integrate complex combinations of motion planning and prediction algorithms for real-world deployment. - Design and build a robust, scalable, high-performance codebase enabling rapid prototyping and rigorous evaluation. - Collaborate with perception and prediction components upstream and trajectory optimization, tracking, and control components downstream to ensure end-to-end system performance. - Promote strong software engineering practices and mentor junior and senior engineers. Requirements: - PhD preferred in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or related field; or Master’s degree with 7+ years of robotics experience. - 10+ years of research experience in robotics or motion planning with a track record of state-of-the-art contributions. - 5+ years of C++ software development focused on high-performance and reliable systems. - Experience leading complex features from problem formulation through deployment in production environments. Preferred Skills: - Experience with probabilistic models such as Gaussian Mixture Models, Hidden Markov Models, and Particle Filters. - Experience with machine learning techniques including Bayesian modeling and inference for decision-making under uncertainty. - Experience with Bazel build framework. Compensation and Benefits: - Salary range: $240,000–$330,000 USD (base salary). - Eligibility for additional compensation such as bonus or company equity. - Benefits may include medical, dental, vision, 401k with company match, health savings accounts, life insurance, pet insurance, and more.

🏢 Summary: Senior Machine Learning Engineer role focused on developing and deploying deep learning solutions for prediction, planning, and control within an autonomous driving platform. The position involves leading experiments, building large-scale production ML systems, and collaborating with cross-functional teams to deliver industrial-grade models. It requires extensive experience in autonomous vehicles or robotics and deep expertise in modern ML frameworks and large language models. 🗂️ Requirements: BS/MS/PhD in Computer Science, Electrical Engineering, Mechanical Engineering, Applied Math or related field, 15+ years of experience building ML systems for autonomous vehicles or robotics, Deep understanding of large language models and transformers, Hands-on experience building and deploying large-scale production ML systems, Experience with DNN training, inference and optimization, Strong mathematical foundation in machine learning and deep learning, Proven leadership and innovation track record 📃 Skills: Python, MachineLearning, DeepLearning, LLM, Transformers, PyTorch, TensorFlow, TensorRT, DNN, Robotics, AutonomousVehicles 🏢 Description: What you'll be doing: Researching, implementing, and evaluating deep-learning-based methods for prediction and planning for Autonomous Vehicle products. Leading, designing, running, and analyzing experiments and testing to evaluate the efficiency of solutions on real-world data. Partnering with system software engineering specialists to ship industrial strength ML models. Communicating and collaborating with multi-functional teams. What We're Looking For: BS/MS/PhD in computer science, electrical engineering, mechanical engineering, applied math, or related fields (or equivalent experience) 15+ years of proven experience building ML systems for autonomous vehicles or similar robotics applications Deep understanding of large language models (LLM) and transformers Hands-on experience building large scale production ML systems and deploying them at scale Excellent leadership and track record for innovation to help build the next generation of ML-based planning solutions Experience with deep neural network (DNN) training, inference and optimization in leading frameworks (Pytorch, Tensorflow, TensorRT, etc.) Excellent understanding of the mathematical foundations of machine learning and deep learning Bonus Points: Prior experience as a ML planning lead Proven publication record in ML for planning, vision, or related fields Prior experience building and deploying vision language action or chain of thought models Benefits: Salary range: $271,000—$373,000 USD (base salary) Eligibility to participate in benefits program including medical, dental, vision, 401k with company match, health savings accounts, life insurance, pet insurance, and more.

🏢 Summary: Lead the design and deployment of advanced motion planning and prediction models for Level 4 autonomous vehicles, leveraging machine learning, generative AI, and reinforcement learning. The role focuses on improving safety and performance in complex traffic scenarios while collaborating across perception, simulation, and integration teams. This position combines technical leadership with hands-on development and production deployment on vehicle fleets. 🗂️ Requirements: Master’s or Ph.D. in Computer Science or related technical field or equivalent industry experience, Proven leadership in executing large, complex technical initiatives, Experience designing, developing, and deploying ML solutions for autonomous vehicles or robotics, Experience with deep learning frameworks such as TensorFlow or PyTorch, Fluency in Python and scientific computing libraries, Advanced knowledge of software engineering principles, source control, build processes, code reviews, and testing methods, Strong communication and interpersonal skills 📃 Skills: Python, TensorFlow, PyTorch, C++, CUDA, MachineLearning, DeepLearning, GenerativeAI, ReinforcementLearning, EmbeddedSystems, Optimization 🏢 Description: What You'll Be Doing: - Define and execute motion planning and prediction projects that improve 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 on-road performance - Communicate strategies, progress and challenges to executive leadership What We're Looking For: - Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience - Proven leadership skills at executing large, complex technical initiatives - Experience with deep learning frameworks such as TensorFlow or PyTorch - Fluency in Python, including standard scientific computing libraries - Proven track record of designing, developing and deploying ML solutions for autonomous vehicles or robotics - Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods - Excellent communication and interpersonal skills Bonus Points: - Experience with embedded systems and real-time optimization, especially in the autonomous driving industry - Experience with state of the art generative AI and/or reinforcement learning paradigms - Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.) - Strong programming skills in C++ and/or CUDA programming Compensation and Benefits: Salary Range: $240,000—$330,000 USD. The salary range reflects base salary only and may vary based on skills, experience, location, certifications, and business needs. Additional compensation may include bonus or company equity. Eligible positions include participation in a benefits program that includes medical, dental, vision, 401k with company match, health savings accounts, life insurance, pet insurance, and more.

🏢 Summary: Technical leadership role focused on motion planning and trajectory optimization for autonomous vehicles, driving architecture, algorithm development, and scalable software systems for production robotaxis. The position involves cross-functional collaboration, optimization solver integration, and development of safety-critical real-time systems using C++ and robotics expertise. Hybrid or remote work is available with competitive compensation and benefits. 🗂️ Requirements: 5+ years of production-grade C++ software development, Experience with real-time, low-latency, or safety-critical systems, Degree in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or related field, Experience leading large-scale technical development initiatives, Expertise in motion planning and Model Predictive Control (MPC), Knowledge of planning under uncertainty and vehicle dynamics/control, Strong understanding of non-linear and numerical optimization algorithms, Experience with optimization solvers in embedded real-time environments, Ability to design scalable software architectures, Experience with closed-loop simulation environments 📃 Skills: C++, Python, MPC, IPOPT, Gurobi, OSQP, CasADi, Robotics, Optimization, Simulation, CI, Embedded 🏢 Description: Mission Summary: On our Motion team, you will serve as a technical leader, leveraging your deep expertise in motion planning, robotics, and software development to architect and advance the capabilities of production-ready autonomous vehicles. In this role, you will drive innovative research, own systemic design processes, and spearhead the implementation of performance-critical algorithms that enable safe, comfortable, and intuitive autonomous vehicle behaviors across autonomous vehicle fleets. If you are passionate about autonomous driving, thrive on solving challenging motion planning problems, and are eager to make a significant impact in a rapidly evolving field, this role offers the opportunity to work on cutting-edge autonomous systems. Technical Scope: - Architect state-of-the-art solutions for motion planning and trajectory optimization algorithms to guarantee safe, smooth, and comfortable vehicle motion. - Own the structural design of robust and scalable software by evaluating, benchmarking, and integrating diverse optimal control techniques and motion planning algorithms. - Establish code quality benchmarks and lead architectural code and design reviews using C++ across cross-functional services and technologies. - Define modern development toolchains, including testing frameworks, high-fidelity simulation, and continuous integration systems. Role Responsibilities: - Define and communicate complex system trade-offs and technical concepts to engineering peers and leadership. - Lead architectural co-design with teams focused on behavior planning, prediction, and vehicle control. - Author project proposals and technical roadmaps spanning multiple safety-critical vehicle subsystems. - Mentor engineers and foster a culture of rigorous research and product-focused engineering. What We're Looking For: - 5+ years of production-grade C++ software development experience in real-time, low-latency, or safety-critical applications. - Bachelor's, Master's, or PhD in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or related field preferred. - Proven experience leading large-scale technical initiatives from problem formulation through production implementation. - Deep expertise in Model Predictive Control (MPC), motion planning architectures, planning under uncertainty, vehicle dynamics/control, and closed-loop simulation. - Strong mathematical understanding of non-linear and numerical optimization algorithms, including interior point methods, sequential quadratic programming, and convex/non-convex optimization. - Experience deploying and scaling optimization solvers such as IPOPT, Gurobi, OSQP, and CasADi in real-time embedded environments. - Python experience for simulation, data analysis, or rapid prototyping is a plus. Work Arrangement: - Hybrid schedule with in-office collaboration in Boston, Pittsburgh, or Las Vegas, or fully remote. Compensation and Benefits: - Salary range: $205,000—$272,500 USD. - Additional compensation may include bonus or company equity. - Benefits include medical, dental, vision, 401k with company match, health savings accounts, life insurance, and pet insurance. Equal Opportunity: - The company is committed to diversity, inclusion, and equal employment opportunity. - Participation in E-Verify is required for employment eligibility verification.

🏢 Summary: Staff-level Autonomy TPM role focused on leading complex, cross-functional technical programs supporting driverless robotaxi development. The position drives large-scale ML model development and release cycles across Behaviors, Prediction, and ML Planning teams, ensuring alignment with company roadmaps and safety-critical milestones. It requires deep technical expertise in robotics or autonomous systems and proven experience delivering safety-critical AI software programs. 🗂️ Requirements: 7+ years in technical program management or similar role, Experience leading safety-critical AI software, robotics, or systems programs, Experience managing large model releases and model development lifecycles, Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or related field, Proven track record delivering large, complex technical programs from concept to launch, Ability to manage cross-functional engineering and product stakeholders, Strong experience communicating risks and progress to leadership 📃 Skills: MachineLearning, Robotics, AutonomousSystems, AI, ModelDevelopment, ModelRelease, MLPlanning, Prediction, TechnicalProgramManagement, SystemsEngineering 🏢 Description: Mission Summary: Motional is seeking to hire a Staff-level Autonomy TPM. This role requires strong, experienced leadership to drive complex initiatives across the company. We are seeking a high-impact individual to own and drive key cross-functional initiatives on the path to a driverless robotaxi. This role will operate across our core machine learning capabilities—specifically partnering with the Behaviors, Prediction, and ML Planning teams—to help prioritize and track technical workstreams in support of our driverless goals. The ideal candidate thrives in ambiguity, possesses technical expertise in robotics or autonomous systems, and has a strong background driving safety-critical ML software and model releases in a fast-paced environment. What You'll Do: Drive Strategic Initiatives: Own and execute large-scale, complex technical programs critical to the 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. Develop and execute mitigation strategies for high-priority issues that could impact driverless milestones. Influence Roadmaps: Partner with engineering and product leadership to ensure the ML and behaviors roadmap is well-defined, integrated, and aligned with top-level company goals. What We're Looking For: Experience & Domain Knowledge: 7+ years of experience in technical program management or a similar role, leading complex, safety-critical AI software, robotics, or systems programs. Experience managing large model releases and model development lifecycles is highly preferred. Education: Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related technical field. Proven Delivery: A strong track record of taking large, complex programs from initial concept and ambiguity to a successful launch. Clear Communication Skills: Demonstrated ability to act as the primary point of contact for complex programs, with a track record of communicating progress, risks, and strategic recommendations to leadership. We encourage a hybrid schedule with in-office time at one of our locations in Boston or Pittsburgh to support collaboration, or this role can be fully remote. Salary Range $144,000—$191,250 USD Candidates for certain positions are eligible to participate in the benefits program. Benefits include medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.