Staff Software Engineer, Command Center

🏢 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: 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: Software Engineer role focused on developing C++ systems for Remote Vehicle Assistance, enabling remote human operators to support autonomous vehicles beyond their operational design domain. The position involves building low-latency data transmission, integrating with onboard AV systems, and creating simulation and testing tools to ensure production readiness. The role is hybrid in Las Vegas and contributes to next-generation autonomous vehicle capabilities. 🗂️ Requirements: Bachelor's degree in Computer Science or related technical field, Minimum 2 years of professional software engineering experience, Proficiency in C++, Working knowledge of SQL, Experience with Linux operating system, Basic knowledge of Git, Basic knowledge of Bazel, Basic knowledge of JIRA, Basic knowledge of Confluence, Ability to perform statistical performance analysis of deployed features 📃 Skills: C++, SQL, Linux, Git, Bazel, JIRA, Confluence, Python, Golang, Qt, OpenGL 🏢 Description: Mission Summary: We're looking for a Software Engineer to design and develop Remote Vehicle Assistance (RVA). The RVA project’s main goal is to overcome gaps in the AV's Operational Design Domain to allow expanded operations using a remote human operator. This involves overriding onboard AV systems (perception, planner, and control) and transmitting low-latency sensor and semantic data out of the vehicle. What You'll Be Doing: - Develop, maintain, and support C++ software that enables Remote Vehicle Assistance - Collaborate with C++ applications and UI engineers to pass data between software running on the autonomous vehicle and software running on remote stations - Collaborate with C++ software components on the autonomous vehicle to integrate Remote Vehicle Assistance capabilities - Test-driven development of new features supporting the autonomous vehicle - Develop and maintain a comprehensive integration and simulation test suite to test all software before it goes to production - Collaborate with systems and operations teams to develop a product that fits both customer needs and system requirements - Collaborate with testing and operations engineers to support on-road testing - Design, develop, and maintain RVA agent training tools, including the creation of comprehensive simulation scenarios - Contribute to the development and support of next-generation RVA product features What We're Looking For: - Bachelor's degree in Computer Science or a related technical field - Minimum of 2 years of professional software engineering experience - Proficient in C++ - Working knowledge of SQL - Basic understanding of Git, Bazel, JIRA, Confluence or similar development tools - Ability to learn how to use a custom SoC - Experience working on a Linux operating system - Capable of performing statistical performance analysis of deployed features Bonus Points (not required): - Experience with Modern C++ (11/14/17 or later) - Experience working with Python, Golang - Experience with QT, OpenGL Why should you join us? - Work on cutting edge technologies - Flexi Benefits - "Take as you need" Annual Leave - Transport Allowance - Medical & Insurance Coverage - Dental - 8-week Paternity & Maternity Leave This role is hybrid from the Las Vegas office and requires 3 in-office days each week. 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 reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. Candidates for certain positions are eligible to participate in the benefits program including medical, dental, vision, 401k with company match, health saving accounts, life insurance, pet insurance, and more. Salary Range: $123,000—$163,500 USD

🏢 Summary: Senior Data Scientist role focused on developing and validating evaluation frameworks, metrics, and statistical methodologies for autonomous vehicle performance and safety readiness. The position involves analyzing large-scale simulation and on-road data, improving testing coverage, and applying ML and statistical techniques to strengthen evaluation systems for driverless robotaxis. The role collaborates closely with engineering, safety, and simulation teams to support launch readiness and scalable autonomous system validation. 🗂️ Requirements: 5+ years of industry experience working with large datasets, Bachelor’s degree in Computer Science, Data Science, Robotics, Mathematics, Physics, Computer Engineering, or related quantitative field, Strong Python skills, Strong SQL skills, Experience with data analysis libraries, Experience applying statistical and machine learning methods, Experience with statistical analysis and hypothesis testing, Experience with causal analysis, Ability to independently drive projects from definition to results, Strong communication skills for technical findings presentation 📃 Skills: Python, SQL, AWS, Transformers, MachineLearning, DeepLearning, Statistics, Simulation, SOTIF, ISO21448, ISO26262, MLOps 🏢 Description: Mission Summary The Systems Readiness and Performance team is responsible for driving system design, verifying and validating the autonomy stack, and defining, measuring, and validating system performance targets for 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 team is seeking a Senior Data Scientist to 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. In this role, you will lead development of evaluation methodologies and metrics that assess the quality and business relevance of solutions spanning on-road and off-board data. You will influence evaluation signals used to validate autonomy stack improvements, conduct deep-dive analyses to understand bottlenecks in current methodologies, and prototype improvements in metrics, sampling strategy, and statistical inference. 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 support safety cases and launch readiness decisions. - Monitor evaluation metrics and incoming performance data for drift, inconsistencies, and degradation. - Drive performance analysis using statistical methods for simulation and on-road data. - Develop statistical analysis methods for AV performance data. - Partner with triage operators and simulation engineers to convert disengagements and edge cases into simulation scenarios. - Use fleet and evaluation data to identify edge cases and coverage gaps. - 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. - Establish self-service tooling for developers to evaluate the impact of changes. - Develop metrics, interpret trends, and investigate anomalies in simulation and on-road data. - Collaborate with developers to drive actions based on evaluation results. - Promote data-aware decision making and best practices. - Mentor engineers and foster collaboration. - Introduce ML methods for scalable performance evaluation. What You Bring: - 5+ years of industry experience solving complex problems with large datasets. - Bachelor’s or higher degree in a quantitative field; Master’s or PhD preferred. - Strong problem-solving skills. - Strong Python and SQL skills. - Experience using data analysis libraries with large datasets. - Experience applying advanced statistical and ML methods. - Experience with statistical analysis, hypothesis testing, causal analysis, and data analysis. - Ability to work independently and drive projects 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 environments. - Experience in autonomous driving or robotics. - Familiarity with data pipelines and distributed compute 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 or ISO 21448. Benefits: - Hybrid schedule with optional fully remote work. - Medical, dental, and vision coverage. - 401k with company match. - Health savings accounts. - Life insurance. - Pet insurance. - Bonus and equity opportunities may apply. - 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: Lead .NET Engineer role combining hands-on backend development with technical leadership, owning architecture, core platform services, APIs, and payment integrations in a distributed AWS environment. The position includes defining technical direction, mentoring engineers, driving CI/CD and operational excellence, and promoting AI-assisted development practices. After a short onboarding period in the US, the role is fully remote with long-term engagement in a strategic product initiative. 🗂️ Requirements: 6–10+ years of experience building and operating production software systems, Experience in Technical Lead or Lead Engineer role, Strong backend development experience with C# and .NET, Experience designing and operating distributed systems and microservices, Strong SQL and database design skills, Hands-on experience with AWS (SQS, DynamoDB, S3, ECS, Lambda), Experience owning and improving CI/CD pipelines, Experience in payments, financial services, or regulated environments, Working knowledge of React or Vue 📃 Skills: C#, .NET, AWS, ECS, Lambda, SQS, DynamoDB, S3, SQL, Microservices, REST, CI/CD, React, Vue, AI 🏢 Description: Lead .NET Engineer Remote 140–160 PLN/h B2B Full-time (FTE) *Project starts with a 2–3 week onboarding and training period in the US, followed by fully remote work. About the role We are looking for an experienced Lead .NET Engineer to take ownership of a squad responsible for core platform services, APIs, and payment integrations. In this role, you will combine hands-on software engineering with technical leadership. You will define technical direction, partner with Product on roadmap delivery, mentor engineers, and help drive the adoption of AI-assisted development practices across the software delivery lifecycle. Responsibilities Own squad-level architecture and technical decision-making. Lead the design, development, and operation of backend services and APIs. Ensure high standards of code quality, performance, security, and reliability. Drive incident management and operational excellence. Collaborate closely with Product Managers and stakeholders to deliver roadmap priorities. Mentor engineers through coaching, technical guidance, and regular feedback. Participate in hiring and team growth activities. Promote and implement AI-assisted development tools and best practices. Contribute to continuous improvement of engineering processes, CI/CD, and platform capabilities. Must-have requirements 6–10+ years of experience building and operating production software systems. Proven experience in a Technical Lead, Lead Engineer, or similar leadership role. Strong backend development experience with C#/.NET. Working knowledge of frontend technologies such as React or Vue. Experience designing and operating distributed systems and microservice architectures. Strong SQL and database design skills. Experience working within payments, financial services, or other regulated environments. Hands-on experience with AWS services, including: SQS DynamoDB S3 ECS Lambda Experience owning and improving CI/CD pipelines. Strong communication and stakeholder management skills. Nice to have Experience building large-scale payment platforms or fintech products. Previous people-management responsibilities. Experience with platform modernization and cloud transformation initiatives. Experience implementing AI-powered engineering tools and workflows. Tech Stack C# .NET AWS ECS Lambda SQS DynamoDB S3 SQL Microservices REST APIs CI/CD React / Vue AI-assisted Development What we offer Long-term engagement in a strategic product initiative. High-impact technical leadership role. Opportunity to shape engineering standards and architecture. Exposure to modern AI-assisted development practices. International environment and collaboration with US-based teams. Fully remote work after onboarding period in the US.

🏢 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: 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 technical role leading research, architecture, and development of advanced motion planning and control systems for production autonomous vehicles. The position focuses on designing probabilistic, search-based, and geometry-based algorithms, integrating them into high-performance C++ systems, and driving end-to-end deployment in complex real-world environments. It involves cross-functional leadership, system optimization, and mentorship within a robotics-focused engineering team. 🗂️ 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++ development experience, Proven experience leading complex technical features from research to production deployment, Experience developing high-performance, reliable software systems, Strong background in motion planning and decision-making under uncertainty, Ability to lead cross-functional technical projects 📃 Skills: C++, Robotics, MotionPlanning, Algorithms, ProbabilisticModels, GaussianMixtureModels, HiddenMarkovModels, ParticleFilters, MachineLearning, BayesianInference, Bazel, TrajectoryOptimization, ControlSystems 🏢 Description: Role Responsibilities: Lead the research and development of novel algorithms and sub-systems for motion planning in autonomous driving, expanding the Operational Design Domain. This includes advanced search-based and geometry-based methods, as well as decision-making under uncertainty with a strong emphasis on probabilistic approaches. Lead cross-functional projects to define new or upgrade existing interfaces to solve problems. Monitor overall system performance to identify areas for improvement and develop technical strategies to address deficiencies. Guide cross-functional project teams to provide comprehensive solutions and think beyond the confines of the planning system. Architect and integrate complex combinations of motion planning and prediction algorithms, driving their evaluation and refinement for real-world deployment. Design and build a robust, scalable, and high-performance codebase that facilitates rapid exploration, prototyping, and rigorous evaluation of innovative motion planning approaches and algorithms. Drive technical collaboration and interface with perception and prediction components upstream and trajectory optimization, tracking, and control components downstream to ensure end-to-end system performance. Leverage deep software development and research expertise to teach better software practices and principles. Guide and mentor junior and senior team members, cultivating a culture of product-focused engineering, rigorous research, and advanced development. What We're Looking For: PhD preferred in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or a related field; or a Master’s degree with 7+ years of experience in robotics (preferably autonomous vehicles industry). 10+ years of research experience in robotics or motion planning, with a proven track record of contributing to state-of-the-art solutions and leading significant projects. 5+ years of C++ software development experience, focused on high-performance and reliable systems. Experience owning and leading technical development of complex features from problem formulation through research, implementation, and deployment in production environments. Strong drive for innovation and advancement in autonomous driving technology. Skills Appreciated: Experience with probabilistic models, including Gaussian mixture models, Hidden Markov Models, and Particle Filters. Experience with machine learning techniques such as 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). This role may include additional compensation such as bonus or company equity. Eligible positions include benefits such as medical, dental, vision, 401k with company match, health savings accounts, life insurance, pet insurance, and more.

🏢 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.