Senior Data Scientist, Systems Performance

🏢 Summary: Senior Data Scientist role focused on developing and improving evaluation frameworks, statistical methodologies, and performance metrics for autonomous vehicle systems. The position involves analyzing large-scale simulation and on-road data, validating safety and launch readiness, and collaborating with engineering teams to strengthen autonomous system evaluation. Candidates will work with ML and statistical methods to improve testing coverage, identify edge cases, and support scalable performance validation for robotaxi deployment. 🗂️ Requirements: 5+ years of industry experience with large-scale data analysis, Bachelor’s degree in Computer Science, Data Science, Robotics, Mathematics, Physics, Engineering, or related quantitative field, Strong Python skills, Strong SQL skills, Experience with statistical analysis and hypothesis testing, Experience applying machine learning methods to large datasets, Ability to develop rigorous data-driven analyses, Experience working independently and driving projects end-to-end, Strong communication skills for technical stakeholder collaboration 📃 Skills: Python, SQL, AWS, ML, Statistics, Transformers, Simulation, Robotics, SOTIF, ISO26262, ISO21448, MLOps 🏢 Description: Mission Summary The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. The team is responsible for driving system design, verifying and validating the autonomy stack, and defining, measuring, and validating system performance targets. The role works closely with stakeholders in autonomy, infrastructure, and operations to build the safety case for the commercial launch of fully driverless IONIQ 5 robotaxis in Las Vegas. Rigorous behavioral and system performance evaluation is critical to scaling the service and achieving long-term goals. The Senior Data Scientist will lead initiatives that improve evaluation and testing methodologies, measure the quality and trustworthiness of the evaluation portfolio, and partner with engineering teams to monitor and strengthen the health of the evaluation ecosystem. What You'll Be Doing - Lead the development of evaluation frameworks for the autonomous system using rigorous, data-driven approaches. - Collaborate with Functional Safety and Systems Engineering teams to align evaluation metrics with automotive safety standards such as SOTIF and ISO 21448. - Ensure evaluation metrics are reliable enough to inform safety cases and launch readiness decisions. - Monitor the reliability of evaluation metrics and incoming performance data over time, including drift detection and inconsistencies. - Drive performance analysis using statistical methods for simulation and on-road data. - Develop new statistical analysis methods to analyze autonomous vehicle performance data. - Partner with triage operators and simulation engineers to convert disengagements and edge cases into simulation scenarios. - Identify edge cases and coverage gaps using fleet and evaluation data. - Build confidence in the evaluation framework through data-driven insights and communication with stakeholders. - Establish correlation between on-road and simulation data. - Analyze large datasets to solve ambiguous performance questions and communicate findings. - Establish self-service evaluation tools for developers. - Develop new metrics, investigate anomalies, and collaborate with developers on performance improvements. - Promote data-aware decision making and best practices. - Mentor engineers and support a collaborative work environment. - Introduce ML methods for performance evaluation where beneficial. What You Bring - 5+ years of industry experience solving complex problems with large datasets. - Bachelor’s or higher degree in Computer Science, Computer Engineering, Data Science, Robotics, Physics, Mathematics, or related quantitative field. - Strong problem-solving skills and logical thinking. - Strong Python and SQL skills with experience using data analysis libraries. - Experience applying advanced statistical and ML methods to large datasets. - Experience with statistical analysis, hypothesis testing, causal analysis, and data analysis. - Ability to work independently and drive projects from definition to actionable results. - Strong communication and interpersonal skills. - Willingness to learn and teach new statistical and ML techniques. Bonus Points - Experience with adversarial scenario generation and closed-loop simulation. - Experience in autonomous driving or robotics. - Familiarity with distributed compute and data pipelines such as AWS. - Expertise in Machine Learning and Deep Learning. - Expertise in sequence modeling and probabilistic ML. - Familiarity with automotive safety standards such as ISO 26262 and ISO 21448. Benefits - Hybrid or fully remote work options. - Medical, dental, and vision coverage. - 401k with company match. - Health savings accounts. - Life insurance. - Pet insurance. - Bonus and equity opportunities may be available. - Salary range: $149,000–$198,500 USD.

🏢 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: 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: 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 leadership role focused on motion planning, trajectory optimization, and scalable software architecture for autonomous vehicles. The position involves designing production-grade algorithms, leading cross-functional system architecture, and advancing real-time safety-critical robotics systems. Candidates will work on autonomous driving technologies using optimization, simulation, and embedded software development. 🗂️ Requirements: 5+ years of production-grade C++ development, Experience with real-time or safety-critical systems, Degree in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or related field, Expertise in motion planning and Model Predictive Control, Experience with planning under uncertainty and vehicle dynamics, Strong understanding of nonlinear and numerical optimization, Experience with optimization solvers in embedded environments, Ability to lead large-scale technical initiatives, Experience with closed-loop simulation environments 📃 Skills: C++, Python, MPC, IPOPT, Gurobi, OSQP, CasADi, Robotics, Optimization, Simulation, Embedded, CI 🏢 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 contribute to cutting-edge autonomous driving technology. Technical Scope: - Architect state-of-the-art motion planning and trajectory optimization solutions to ensure safe, smooth, and comfortable vehicle motion. - Design robust and scalable software architectures by evaluating, benchmarking, and integrating optimal control techniques and motion planning algorithms. - Establish code quality benchmarks and lead architectural code and design reviews using C++. - Define and champion modern development toolchains, testing frameworks, high-fidelity simulation, and continuous integration systems. Role Responsibilities: - Define and communicate complex system trade-offs and technical concepts to engineering teams and leadership. - Collaborate with teams focused on decision planning, prediction, and vehicle control to build integrated safety-critical systems. - Author technical proposals and contribute to long-term subsystem roadmaps. - Mentor engineering team members and promote rigorous research and engineering practices. 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 definition through production deployment. - Deep expertise in Model Predictive Control (MPC), motion planning architectures, planning under uncertainty, vehicle dynamics, and closed-loop simulation. - Strong mathematical understanding of nonlinear and numerical optimization techniques, 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 systems. - Python experience for simulation, data analysis, or prototyping is a plus. Work Arrangement: - Hybrid schedule available in Boston, Pittsburgh, or Las Vegas, or fully remote. Benefits: - Eligible employees may receive medical, dental, and vision coverage. - 401(k) with company match. - Health savings accounts. - Life insurance and pet insurance. - Potential bonus and company equity compensation. - Salary range: $205,000 — $272,500 USD. Equal Opportunity: The company is committed to diversity, inclusion, and equal employment opportunity and participates in E-Verify.

🏢 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: Develop and implement advanced motion planning algorithms for production-ready autonomous vehicles, focusing on safe and intuitive route generation. The role combines robotics research and C++ software development, integrating planning with perception, prediction, and control systems. You will contribute to scalable codebases and bring motion planning solutions from concept to deployment. 🗂️ Requirements: Bachelor’s degree in Robotics, Computer Science, Computer Engineering, Mechanical Engineering or related field, 2+ years of research experience in robotics or motion planning, 2+ years of C++ software development experience, Proven experience in robotics or autonomous vehicles, Experience delivering projects from problem formulation to deployment 📃 Skills: C++, Robotics, MotionPlanning, AutonomousVehicles, Algorithms, Optimization, LinearTemporalLogic, DecisionMaking, SoftwareDevelopment 🏢 Description: Role Responsibilities: - Develop a variety of algorithms on planning for autonomous driving, including but not limited to search-based methods, sampling-based methods, optimization-based methods, linear-temporal logic, and decision making under uncertainty. - Integrate and evaluate combinations of motion planning and prediction algorithms. - Design and build robust and scalable codebase that enables rapid exploration and evaluation of different motion planning approaches and algorithms. - Interface with perception and prediction components upstream and trajectory optimization and tracking & control components downstream. - Participate in code reviews and mentoring sessions with senior team members. - Develop a culture of product focused engineering, research, and development. What We're Looking For: - Bachelor's required, Masters or PhD degree preferred in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or related field. - Proven impact and expertise in the robotics / autonomous vehicle field. - 2+ years of research experience in robotics / motion planning. - 2+ years of C++ software development. - Past experience taking projects from problem formulation through implementation and deployment. - Thirst for knowledge and continuous innovation. Compensation and Benefits: - Minimum salary of $172,020/year + bonus + equity + benefits (Colorado only). - Salary range: $240,000—$330,000 USD. - Eligible to participate in benefits including medical, dental, vision, 401k with company match, health savings accounts, life insurance, pet insurance, and more.

🏢 Summary: Senior Systems Software Test Lead role focused on system-level verification and validation of robotics and autonomous software systems. The position involves leading integration testing strategies, validating robotics behaviors across perception, planning, and controls, and driving scalable test frameworks in cloud-connected distributed environments. The role requires extensive experience in robotics software architectures, test leadership, and automation within Agile development environments. 🗂️ Requirements: Bachelor's degree in Engineering, Computer Science, Robotics, or related field, 10+ years of experience in systems engineering, software integration, or test leadership, Experience leading system-level software integration and test strategy for robotics or autonomous systems, Strong understanding of robotics software architectures, Experience as a Test Lead managing distributed validation teams, Hands-on debugging experience across integrated robotics software stacks, Proficiency in Python scripting for automation and debugging, Experience with cloud-integrated robotics or distributed systems, Understanding of requirements traceability and lifecycle testing, Experience working in Agile development environments, Ability to work independently in fast-paced environments, Strong cross-functional communication skills 📃 Skills: Python, AWS, ROS, ROS2, Agile, MBSE, Robotics, Automation, Testing, Validation, Integration, Debugging, Simulation, AI, ML, Cloud 🏢 Description: As Systems Software Test Lead you will be responsible for: - Lead system-level verification and validation of robotics software systems, including autonomy, perception, motion planning, and controls integration. - Define and own end-to-end system integration and test strategies for robotics software stacks, ensuring validation of complex, multi-service capabilities across platforms. - Develop comprehensive test plans and validation frameworks for autonomous system behaviors, including trajectory generation, navigation, and mission-level functionality. - Provide technical leadership to distributed test and software validation teams, enabling execution of test plans and ensuring coverage, quality, and traceability. - Operate with a high degree of autonomy to identify gaps in test coverage, resolve ambiguity, and drive readiness across integration and validation phases. - Collaborate closely with robotics software engineers to validate system performance across key domains such as motion planning, path optimization, localization, and control systems. - Lead system integration efforts across software services, APIs, and middleware layers, ensuring correct interaction between perception, planning, and execution components. - Analyze system behavior and debug software integration issues, identifying root causes across distributed services and real-time system components. - Utilize scripting (e.g., Python) to support test automation, log analysis, simulation validation, and debugging of robotic system behavior. - Validate robotics software in lab or simulated environments, including running integrated systems, executing scenarios, and measuring performance against KPIs. - Support testing and observability of cloud-connected or distributed robotics systems, including familiarity with cloud platforms (e.g., AWS) for data capture, diagnostics, and system monitoring. - Incorporate system-level risks and failure modes into validation strategies, ensuring robust coverage for edge cases and real-world operating conditions. - Contribute to development of scalable, repeatable test frameworks and processes for robotics software validation. - Maintain alignment between requirements, system architecture, and validation coverage using systems engineering and/or MBSE practices. - Communicate system readiness, risks, and validation results clearly to engineering leadership and program stakeholders. Qualifications: - Bachelor's degree in Engineering, Computer Science, Robotics, or related technical field; Master's degree preferred. - 10+ years of experience in systems engineering, software integration, or test leadership focused on robotics, autonomy, or complex distributed software systems. - Proven experience leading system-level software integration and test strategy for robotics or autonomous systems. - Strong understanding of robotics software architectures, including motion planning, navigation, control systems, and distributed service-based design. - Experience operating as a Test Lead, enabling execution through teams rather than individually performing all testing tasks. - Hands-on experience debugging system-level software issues across integrated stacks (perception, planning, control, infrastructure). - Proficiency in scripting (e.g., Python) for test automation, data analysis, and system debugging. - Experience working with cloud-integrated robotics or distributed systems (AWS or similar platforms). - Strong understanding of requirements traceability, system validation, and full lifecycle testing. - Experience working in Agile development environments supporting multi-team software delivery. - Ability to operate independently in fast-paced, high-ambiguity environments while driving technical outcomes. - Strong communication skills with ability to guide engineers and test teams across disciplines. Preferred Qualifications: - Experience with autonomous mobile robots, robotic manipulation systems, or industrial automation platforms. - Familiarity with simulation environments, digital twins, or robotics testing frameworks. - Experience validating AI/ML-enabled robotic behaviors (perception, decision-making, optimization). - Exposure to middleware or robotics frameworks (e.g., ROS/ROS2 or similar architectures). - Background in large-scale, multi-team robotics software programs. Salary Range: $150,000 - $190,000 The actual salary offered is dependent on various factors including, but not limited to, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. Drug Screening Requirement: All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

🏢 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: Full Stack Engineer role focused on building AI-driven data curation, mining, and search applications to accelerate ML dataset generation and pipeline development. The position involves close collaboration with ML and data teams to design scalable web applications and backend services. The goal is to streamline development cycles and support advanced autonomous systems initiatives. 🗂️ Requirements: BS or MS in Computer Science or related field, 4+ years of professional experience building web applications, Extensive experience building web applications for search and data curation, Strong programming skills in Typescript, Strong programming skills in Python, Strong knowledge of React, Strong experience building REST services, Strong experience building gRPC services, Strong knowledge of AWS ecosystem (EKS, Lambda), Experience with Terraform 📃 Skills: Typescript, Python, React, REST, gRPC, AWS, EKS, Lambda, Terraform, Bazel 🏢 Description: Mission Summary: We are seeking an experienced full stack engineer to join our new AI Data Application team. This pivotal role will drive the development and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future. What You'll Be Doing: Cross-functional Collaboration: 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. Development: Design and build the next generation of data curation, mining and search applications needed to power our next phase of growth as a company. Mentor junior engineers and peers on best practices and adoption strategies. What We're Looking For Experience: BS or MS in Computer Science or related field 4+ years of professional experience in building web applications Extensive experience with building web applications for search and data curation needs. Technical Skills: Strong programming skills in Typescript and Python. Strong knowledge of modern frontend technologies such as React. Strong knowledge of building REST and gRPC based services, ideally in Python. Strong knowledge of AWS ecosystem (EKS, Lambda, etc) and Terraform. Bonus Points (not required): Prior experience in autonomous vehicles (AV) is a plus. Prior experience with Bazel based build systems. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Salary Range $149,000—$198,500 USD Candidates for certain positions are eligible to participate in the benefits program. Benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.