Platform Verification Engineer - Software Systems

🏢 Summary: The role focuses on leading verification and validation of complex embedded systems for autonomous vehicle platforms, including compute, power management, ECUs, and actuators. It involves developing HIL/SIL test infrastructure, defining embedded test methodologies, and automating verification processes to ensure system safety and performance. The position supports delivery of a fully validated autonomous platform aligned with functional safety standards. 🗂️ Requirements: Bachelor’s degree in Engineering (MS/PhD preferred), 3+ years in automotive, robotics, or related industry, Experience in systems engineering and V&V, Experience with requirements and metrics management, Deep experience with HIL environments, Experience with embedded systems testing, Experience executing complex test campaigns, Knowledge of autonomous vehicle stack, Experience with ISO 26262 functional safety, Proficiency in Python or Matlab for data analysis 📃 Skills: HIL, SIL, Embedded, V&V, ISO26262, Python, Matlab, ECU, Sensors, Actuators, DataAnalysis, SystemsEngineering, AutonomousVehicles 🏢 Description: A strong focus will be on: - Creating verification plans for complex embedded systems based on requirements. - Developing and maintaining test infrastructure including Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) tooling. - Automated test execution and reporting. You will: - Act as the central point of contact for verification of embedded platform components (including embedded compute, power management, application specific ECUs, actuators) against system requirements. - Play a leading role in defining embedded test methodologies. - Design and document tests to verify full system functionality and performance in line with company milestones. - Implement tools and methodologies to streamline and automate the platform verification processes. - Work with external partners on delivering a safe autonomous platform that has been verified and validated to support a strong safety case for the complete self-driving system. - 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. - Proven experience in systems engineering, verification and validation (V&V), and working with requirements and metrics. - Knowledge of the typical autonomous vehicle stack. - Deep experience with HIL environments and production-grade embedded systems testing. - Experience with executing complex test campaigns. - Experience with functional safety, i.e. ISO 26262. - Strong fundamentals in mathematics, engineering and physics. - Excellent data analysis skills with modern tools such as Python or Matlab. Bonus/Nice to have: - A working knowledge of vehicle systems. - Experience developing and launching products in the autonomous vehicle or robotics industries. - Proficiency with data mining, mathematics, and statistical analysis. 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. - Additional compensation including discretionary equity incentive awards and discretionary annual performance bonus.

🏢 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 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: 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: The role involves leading systems engineering and vehicle-level integration for automotive features such as Audio, Lighting, and Charging. You will define system specifications, coordinate cross-functional teams, and ensure full integration and validation of hardware and software components. The position requires deep debugging of complex ECU-based systems and execution of vehicle integration plans to ensure functional and safety compliance. 🗂️ Requirements: Bachelor's degree in Engineering, 5+ years of experience in systems engineering, Hands-on experience debugging complex multi-ECU automotive systems, Strong understanding of automotive hardware and software development processes, Experience with low voltage automotive systems (sources, sinks, distribution), Experience with Automotive CAN and LIN networks, Strong understanding of vehicle safety concepts and testing procedures, Ability to collaborate cross-functionally in fast-paced development environments 📃 Skills: SystemsEngineering, Automotive, ECU, CAN, LIN, CANape, CANalyzer, CANoe, Vflash, Debugging, Hardware, Software, Integration, LowVoltage, DCDC, WiringHarness, Diagnostics 🏢 Description: Summary: You will be responsible for supporting systems engineering for systems such as Audio, Lighting, Charging etc. You will be leading the specification and executing of systems integration plans for vehicle-level features and deliverables. Responsibilities: - Process product level requirements and pull together respective engineering teams to decompose into components, interfaces, dynamic behaviors, and resource consumption targets. - Support and review software and hardware design, implementation, and test cases. - Identify, document and highlight cross-functional gaps and dependencies; proactively work towards creative solutions to resolve integration issues and ensure vehicle functionality. - Work with test and integration engineers to ensure full test coverage is defined and implemented for software feature implementations. - Develop and execute vehicle integration plans, pulling together relevant sub-system components while keeping track of overall program milestones and delivery objectives. - Deep-dive into vehicle log data and source code if required to root-cause system-level issues and facilitate rapid issue resolution in collaboration with domain experts. Post root cause analysis, suggest changes to upstream processes and subsystems, including diagnostics and other tools. - Work across the company to contribute to a cohesive variant management strategy that operates efficiently, including but not limited to software build configurations and upgrade capabilities. Qualifications: - Bachelor's in Engineering. - 5+ years work experience in systems engineering. - Hands-on experience debugging complex systems that involve multiple ECUs with interfaces to various vehicle sub-systems. - Strong understanding of automotive hardware and software concepts and development processes. - Ability to work in a fast-paced development environment and proactively collaborate cross-functionally with other teams to solve vehicle-level integration problems. - Strong understanding of vehicle safety concepts and testing-related safety procedures. - Strong written and verbal communication skills. - Experience with Low Voltage sources (12V battery, Vehicle DCDC), Low Voltage sinks (Compute, vehicle motion actuators, lighting, vehicle ECUs, HVAC, etc.), Low Voltage distribution (wiring harnesses), Automotive CAN and LIN. - Experience with Vector tools and applications (CANape, CANalyzer, CANoe, Vflash) is preferred. Benefits: - Competitive compensation structure. - Benefits supporting professional growth and personal well-being. - Culture focused on high performance, collaboration, continuous improvement, and professional development. - California Pay Range: $68—$75 USD.

🏢 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: Electrical Engineering role focused on designing and validating power and signal distribution systems for autonomous vehicles. The position involves creating electrical schematics, wiring harness designs, and test plans, as well as troubleshooting and supporting EMC certification in prototype vehicles. Candidates will work cross-functionally to implement detailed AV system designs into vehicle platforms and oversee system testing and validation. 🗂️ Requirements: 6+ years of experience in electrical engineering, Bachelor's degree or higher in Electrical Engineering, Ability to read and interpret schematics and assembly drawings, Experience with lab equipment: power supplies, oscilloscopes, function generators, multimeters, Familiarity with wire harness design process and related software tools, Experience with vehicle communication networks: CAN, CAN-FD, Automotive Ethernet, LIN, Strong troubleshooting and debugging skills, Ability to perform hands-on debugging during testing and evaluation 📃 Skills: CAN, CAN-FD, Ethernet, LIN, DFMEA, EMC, Oscilloscope, Multimeter, PowerSupply, FunctionGenerator, WireHarness, Schematics, Simulation 🏢 Description: Mission Summary You will be responsible for power and signal distribution design for Autonomous Vehicles. You will work cross functionally to gather details required for proper connections, generate system diagrams, electrical schematics, wiring harness diagrams, and assist with assembly and build documentation. You will also create detailed component and system qualification and validation test plans, and perform and oversee testing. What you'll be doing: - Quickly gain a deep understanding of system architecture and specifications to implement the detailed electrical design of the AV system into a vehicle platform. - Work within an interdisciplinary team to troubleshoot, test, and fix electrical and system issues in prototype vehicles and test fixtures. - Support product design reviews. - Review internal and external requirements and specification documentation. - Perform worst case analysis and simulation to ensure compliance to system requirements. - Generate system diagrams, electrical schematics, wiring harness diagrams, and assist with assembly and build documentation. - Create detailed component and system qualification and validation test plans and perform / oversee testing. - Support EMC certification testing and develop and maintain electrical DFMEA. - Utilize structured problem-solving techniques for test failure resolution. What we're looking for: - 6+ years of experience in electrical engineering. - Ability to read and interpret schematics and assembly drawings. - Lab equipment experience with power supplies, oscilloscopes, function generators, and multimeters. - Familiarity with wire harness design process and software tools to help design vehicle power and signal distribution. - Ability to multitask across various project activities and work with a global team. - Ability to provide hands-on debugging as needed during testing and evaluation. - Experience with vehicle communication networks (CAN, CAN-FD, Automotive Ethernet, LIN). - Strong troubleshooting and debugging skills. - Bachelor's degree or higher in Electrical Engineering. Benefits: Candidates are eligible to participate in a benefits program including medical, dental, vision, 401k with company match, health savings accounts, life insurance, pet insurance, and more. Salary Range: $125,000—$167,000 USD

🏢 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 verification engineering role focused on developing and leading verification infrastructure for AI accelerator IP blocks and scalable AI/ML computing platforms. The position involves UVM/SystemVerilog-based verification, testbench development, debugging, and cross-functional collaboration with architecture, RTL, compiler, and simulation teams. 🗂️ Requirements: Bachelor's degree with 15+ years, Master's with 13+ years, or PhD with 10+ years of industry experience, Strong SoC or IP verification experience, Testbench development using UVM and SystemVerilog, Programming experience with C/C++, Scripting experience with Perl or Python, Experience verifying complex IP blocks, dies, SoCs, and full systems, Strong RTL understanding and debugging skills, Background in microarchitecture and computer architecture, Ability to work cross-functionally and independently, Excellent communication and interpersonal skills 📃 Skills: UVM, SystemVerilog, C, C++, Perl, Python, RTL, SoC, FPGA, AI, ML, Verification, Emulation 🏢 Description: Advancing the World's Technology Together Our technology solutions power the tools you use every day—including smartphones, electric vehicles, hyperscale data centers, IoT devices, and more. The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving complex system-level challenges posed by future AI/ML workloads by designing scalable, high-performance, and energy-efficient platforms. The team collaborates closely with hardware and software engineers to address challenges across memory, computing, interconnect, and AI/ML technologies while researching emerging trends to support future workloads. Location: Daily onsite presence at the San Jose, CA office in alignment with the Flexible Work policy. What You'll Do - Develop the verification infrastructure and automation environment involved in build, simulation, regression, and triages - Lead the verification for IP blocks of an AI accelerator by working with architects and RTL engineers - Create direct or random testbenches, define verification scope and test plans for both functional and performance validation, and close verification quality metrics - Provide comprehensive documentation of verification strategy and ensure the test environment is easy to use - Mentor junior engineers when necessary - Work cross-functionally in debugging failures with design, compiler, and simulation engineers What You Bring - Bachelor's with 15+ years, Master's with 13+ years, or PhD with 10+ years of industry experience - Strong background in SoC or IP verification and testbench development using UVM, SystemVerilog, C/C++, and scripting languages such as Perl/Python - Experience verifying at multiple levels of logic from complex IP blocks to dies, SoCs, and full system testing - Understanding of RTL and strong debugging skills - Prior experience with computational logic, interconnect networks, and/or memory systems is desirable - Strong background in microarchitecture and computer architecture, preferably in AI accelerators - Knowledge of FPGA and emulation platforms preferred - Strong analytical and problem-solving skills - Excellent communication and interpersonal skills - Ability to work independently and as part of a team - Inclusive and collaborative working style - Curiosity, resilience, and eagerness to learn What We Offer - Competitive compensation with incentive opportunities based on individual and company performance - Medical, Dental, Vision, and 401(k) benefits - Charitable giving match and community involvement opportunities - 4+ weeks of paid time off plus holidays and sick leave - Family support benefits including fertility care, adoption support, medical travel support, and virtual vet care - Emotional wellness support with on-demand apps and confidential therapy sessions - Onsite café, gym, and virtual fitness classes - Flexible work environment Base Pay Range: $189,000—$301,000 USD Equal Opportunity Employment Policy Samsung Semiconductor is committed to fostering an inclusive workplace and providing accommodations throughout the recruiting process for candidates who require support. Our Commitment to Innovation and Fairness AI tools may be used to support recruitment processes, but hiring decisions are made by human recruiting teams and hiring managers. Applicant AI Use Policy Candidates may use AI tools for preparation, grammar, and research, but not for generating submitted content or live interview responses. Trade Secret Notice By submitting an application, candidates agree not to disclose confidential or proprietary information belonging to current or former employers or other entities.