Torc Robotics

• Design, develop, and maintain HiL test benches to support validation of autonomous driving software and system-level functionality • Define and execute test strategies, test cases, and validation plans based on system requirements, safety goals, and integration needs • Develop and maintain automated test scripts and frameworks to improve test coverage, repeatability, and efficiency • Integrate hardware and software components into HiL environments, managing interfaces, data flows, and synchronization across subsystems • Conduct verification and validation (V&V) activities in alignment with safety standards such as ISO 26262 • Support the integration and validation of new autonomy features across perception, sensor fusion, and vehicle control systems • Utilize tools and frameworks such as ROS/ROS2, CAN-based systems, and simulation platforms for testing and debugging • Analyze test results, investigate system-level issues, and collaborate cross-functionally to drive resolution • Document test procedures, results, and defects, and communicate findings to engineering and program stakeholders • Continuously improve HiL infrastructure, tooling, and workflows to support scalable and efficient testing

Title: Staff, Software Engineer - Motion Planning Blacksburg, VA, Remote - US Job Description: About The Company: At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet The Team: Torc is hiring a Staff Motion Planning Engineer to lead technical development for the planning, prediction, and decision-making systems that determine how our autonomous trucks navigate the world safely, efficiently, and predictably. Our team operates at the intersection of robotics, machine learning, optimization, simulation, and safety, building the core autonomy capabilities that translate perception into action. What You''ll Do: This role is focused on motion planning, trajectory generation, and trajectory optimization for autonomous vehicles in unstructured environments. You will provide technical leadership across teams and platforms, driving architectural strategy, engineering excellence, and scalable system design. You will lead high-impact technical initiatives, influence long-term engineering direction, and contribute directly to the design, development, validation, and deployment of planning capabilities. This role operates at a multi-team level with broad organizational impact. You will work closely with engineers and leaders across autonomy, controls, simulation, safety, and validation to help deliver safe, robust, and reliable autonomy behaviors at scale. - Technical Leadership - Defining and maintaining the architectural vision across teams, platforms, and services to ensure scalability, reliability, maintainability, long-term technical alignment, and consistency of software design patterns - Supporting Engineering Managers and Senior ICs in resolving complex technical design, architecture, and implementation challenges across multiple domains while balancing feasibility against business objectives - Establishing and promoting engineering best practices for code quality, automated testing, performance optimization, monitoring, security, and operational excellence - Conducting architecture reviews, technical deep dives, design sessions, and technical assessments to guide engineering decisions and solution direction - Mentoring and coaching senior and mid-level engineers while helping grow future Staff and Principal engineers through technical guidance and leadership development - Fostering a culture of engineering excellence, documentation, collaboration, innovation, and knowledge sharing across the organization - Translating complex technical concepts, trade-offs, and architectural decisions into clear recommendations for leadership and cross-functional stakeholders - Leading major technical initiatives such as platform modernization, observability enhancements, performance optimization, scalability improvements, and reliability engineering efforts - Software Development - Design, develop, and optimize motion planning algorithms including trajectory generation, trajectory selection, behavior planning, and optimization-based planning approaches for autonomous trucks. - Develop planning solutions leveraging techniques such as graph search, sampling-based planning, optimization-based planning, spline/B-spline trajectories, convex optimization, and Frenet-frame approaches. - Incorporate vehicle kinematic and dynamic constraints into planning systems to ensure safe, feasible, and comfortable vehicle behavior. - Develop production-quality software using modern C++ within a Linux environment while adhering to quality, safety, testing, and deployment best practices. - Collaborate closely with Safety, Controls, Perception, Validation, and Simulation teams to develop safe and reliable autonomous driving behaviors. - Testing, Integration, and Metrics - Develop and execute validation strategies across Software-in-the-Loop (SiL), Hardware-in-the-Loop (HiL), and Vehicle-in-the-Loop (ViL) environments. - Investigate and debug vehicle behavior by reproducing issues in simulation, analyzing system performance, and implementing software improvements. - Support vehicle integration, deployment activities, and post-deployment investigations to ensure reliable autonomy performance. - Perform on-vehicle troubleshooting using real-time diagnostic tools and in-depth log analysis. We are seeking a Software Engineer who is passionate about solving challenging autonomy problems and building production-quality software for real-world autonomous systems. What You''ll Need to Succeed: - Bachelor''s degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field with: 10+ years of industry experience OR Master''s degree with 7+ years of experience OR PhD with 5+ years of experience. - Proven experience operating as a Staff, Principal, or multi-team technical leader within complex engineering organizations including experience leading large cross-functional technical initiatives across multiple engineering teams - Deep expertise developing robotics, autonomous vehicle, ADAS, or other complex real-time software systems. - Deep expertise in modern C++ development within Linux-based environments. - Diverse experience developing motion planning, trajectory generation, trajectory optimization, behavior planning, or decision-making systems for robotics or autonomous systems. - Strong understanding of vehicle dynamics, vehicle kinematics, trajectory feasibility, and planning system architecture. - Strong foundation in linear algebra, numerical optimization, geometry, and robotics algorithms. - Hands-on experience with analyzing metrics to optimize performance in a resource-constrained environment. - Excellent troubleshooting skills with the ability to perform both real-time diagnostics and in-depth post-analysis. - Mastery of software engineering fundamentals, system design principles, and scalable development practices. - Experience with version control (Git), build systems, and package management. - Understanding of test automation principles and proficiency with unit testing and test automation frameworks (pytest, Robot Framework, gtest, etc.) - Strong problem-solving skills and the ability to debug complex system-level issues. - Excellent communication and collaboration skills within cross-functional engineering teams. - Ability to work independently while contributing effectively within a highly collaborative environment. Bonus Points! - Experience with Model Predictive Path Integral (MPPI), Model Predictive Control (MPC), convex optimization, quadratic programming (QP), nonlinear optimization, or other optimization-based planning techniques for autonomous vehicles. - Experience applying machine learning techniques such as imitation learning, reinforcement learning, or hybrid planning architectures. - Experience integrating machine learning models into real-time or production systems. - Experience working with simulation platforms and large-scale autonomy validation environments. - Experience with robotics frameworks such as ROS/ROS2, Autoware, Apollo, or similar autonomy platforms. - Exposure to CUDA, GPU acceleration, TensorRT, or high-performance compute environments. - Experience supporting on-vehicle testing, debugging, and deployment activities. - Passion for autonomous vehicles, robotics, and solving complex real-world engineering challenges. - Contributions to open-source projects related to embedded Linux, robotics, or deployment automation. Work Location: For this position, we are open to hiring in our Blacksburg, VA office work location in a hybrid capacity. We are also open to hiring Remote in the United States & Canada with semi-monthly travel to Blacksburg, VA. Some travel to Europe may be required. U.S. Citizenship Requirement: This position requires access to information and systems that are restricted under U.S. law. Accordingly, only U.S. citizens are eligible for this role. This requirement is based on applicable government regulations and is not related to immigration status discrimination. Perks of Being a Full-time Torc'r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: - A competitive compensation package that includes a bonus component and stock options - 100% paid medical, dental, and vision premiums for full-time employees - 401K plan with a 6% employer match - Flexibility in schedule and generous paid vacation (available immediately after start date) - Company-wide holiday office closures - AD+D and Life Insurance At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc''s total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Job ID: R-102807 Hiring Range for Job Opening US Pay Range $186,200-$223,400 USD

System Engineer II – Release Readiness and Metrics (Python) Location: Remote (United States) or Ann Arbor, Michigan; Fort Worth, Texas; Blacksburg, Virginia Work Arrangement: Fully Remote (Remote anywhere in the U.S. is available. Hybrid is optional for employees based in Ann Arbor.) Employment Type: Full-time Salary: $120,100 – $144,100 annually Job Description: About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet the Team Join Torc's Release organization, where we help ensure autonomous driving software is validated, measured, and ready for deployment. Our team operates at the intersection of autonomy, systems engineering, testing, and data analysis, supporting release decisions through metrics, investigations, and system-level evaluation. As a Systems Engineer II, you will contribute to release readiness activities by analyzing system behavior, developing metrics and tooling, investigating issues, and partnering with engineering teams across the organization. You will work alongside senior engineers to help evaluate software quality and performance while supporting the processes used to validate Torc''s autonomous driving system. What You'll Do - Support release readiness activities through analysis of software performance, testing results, and system-level metrics. - Develop, maintain, and improve Python-based tools, scripts, dashboards, and workflows used to evaluate software quality and release health. - Analyze test results from simulation, hardware-in-the-loop, closed-course, and on-road testing environments. - Investigate system-level issues and support root cause analysis efforts in collaboration with software, systems, validation, and autonomy engineering teams. - Work with large datasets to identify trends, anomalies, and opportunities for improvement across the autonomy stack. - Help define, implement, and maintain metrics that provide visibility into software quality, system performance, and release readiness. - Collaborate with engineers across Perception, Behaviors, Platform, Validation, and Systems Engineering teams to understand system behavior and support technical investigations. - Participate in requirements reviews, design discussions, and validation planning activities. - Contribute to the development and improvement of release processes, triage workflows, and engineering tools. - Document findings, communicate investigation results, and provide actionable feedback to development teams. - Support defect tracking and issue management activities throughout the software development lifecycle. What You''ll Need to Succeed - Bachelor''s degree with 4+ years of experience, or Master''s degree with 2+ years of experience in Systems Engineering, Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field. - Experience working with complex software, robotics, autonomous systems, automotive systems, or distributed technical environments. - Strong Python programming skills for scripting, automation, data analysis, or tooling development. - Experience working with data analysis, metrics, dashboards, or system performance evaluation. - Familiarity with software development workflows, defect management, testing methodologies, and validation activities. - Ability to investigate technical issues, analyze data, and communicate findings effectively. - Experience collaborating across multiple engineering disciplines. - Strong problem-solving skills and attention to detail. - Ability to independently execute technical tasks and investigations while seeking guidance on larger or more ambiguous problems. Bonus Points - Experience with autonomous vehicles, ADAS, robotics, or safety-critical systems. - Experience working with cloud-based data platforms, databases, or large-scale datasets. - Experience with simulation environments, SIL/HIL testing, or validation workflows. - Familiarity with software quality metrics, release processes, or engineering KPIs. - Experience building internal engineering tools or automation solutions. - Exposure to systems engineering principles, requirements management, or verification and validation activities. Work Location: For this position, we are open to hiring in Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States. Perks of Being a Full-time Torc'r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team-focused. Torc offers: - A competitive compensation package that includes a bonus component and stock options - 100% paid medical, dental, and vision premiums for full-time employees - 401K plan with a 6% employer match; flexibility in schedule and generous paid vacation (available immediately after start date); company-wide holiday office closures - AD+D and Life Insurance At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Depending on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Hiring Range for Job Opening US Pay Range $120,100-$144,100 USD

• Develop and own vehicle dynamics models, including high-fidelity truck models that accurately represent longitudinal, lateral, and transient behavior for use in simulation and autonomy validation • Design, develop, and maintain high-fidelity simulation platforms used to validate autonomous driving software in closed-loop evaluation pipelines at scale • Partner with autonomy engineering teams to capture and implement vehicle model requirements that support planning, controls, and system-level V&V activities • Own model capability communication, known limitations, and release notes to enable effective autonomy validation • Ensure vehicle model updates do not regress autonomy V&V system performance by using automated regression frameworks • Execute full software development lifecycle activities primarily in C++ within a Linux development environment and ROS/ROS2 tooling, applying Lean-Agile methodologies • Perform root cause analysis on issues identified during simulation runs and hardware-in-the-loop testing • Participate in designing test plans for data acquisition and telemetry that support field data collection for vehicle model refinement • Support system-level test plans and verification strategies • Communicate progress, design decisions, and blockers clearly at daily stand-ups and design reviews • Build and maintain collaborative relationships with OEM partners and simulation tool vendors to evaluate, integrate, and co-develop simulation capabilities

• Labeling objects using specialized tools to create: 2D bounding boxes, 3D cuboids, and other shape types to represent vehicles, road features, obstacles, and more • Reviewing pre-labeled data to ensure it follows detailed guidelines • Accepting, rejecting, or correcting annotations using our software • Providing clear notes when corrections are needed • Learning and mastering our internal tools over time • Accurately annotating objects in both 2D and 3D environments • Following instructions and guidelines consistently across tasks • Taking ownership of your assignments and adapting to procedural updates • Applying feedback to continuously improve your skills and workflow • Collaborating with teammates and communicating effectively

• As a Data Annotator, you will work with 2D images and 3D sensor data to help AI systems recognize and understand their environment. • Your responsibilities will include: labeling objects using specialized tools to create 2D bounding boxes, 3D cuboids, and other shapes representing vehicles, road elements, obstacles, and more. • Reviewing pre-labeled data to ensure it complies with detailed guidelines. • Accepting, rejecting, or correcting annotations using our software. • Providing clear notes when corrections are required. • Gradually learning and mastering our internal tools.

Role Description Torc Robotics, Inc. seeks a Business Strategist based out of our U.S. headquarters at 405 Partnership Dr, Blacksburg, VA 24060. However, this is a purely telecommuting/work-from-home position whereby the employee may reside anywhere within the U.S. Note, domestic and international travel is required, up to 25% per year. - Serve as the lead Technical Analyst/Strategist supporting the design, development, construction, testing operations, and eventual commercialization of the Autonomous Truck Hubs and their network. - Lead the design, development, and implementation of Class 8 terminals designed to enable and optimize the use of Torc’s self-driving trucks. - Analyze potential solutions to optimize hub layout, process, and operations, including: - Facility flow optimization - Autonomy relevant task integration - Associated regulatory requirements - Transportation and distribution workflow - Freight logistics - Network design and planning influence on autonomous hub design - Responsible for the development of the overall rollout and expansion Hubs’ strategy, according to: - Autonomous technical capabilities and requirements - Freight distribution - Operational needs - Customer preferences - Define and align requirements to solve challenges and incorporate feedback across teams; internal and external, as well as collaborating with Subject Matter Experts. - Take a lead role in seeing projects through to completion, collaborating across teams and organizing efforts related to strategy, road mapping, planning, and product development. - Serve as lead strategist in devising plans and strategies for efficient and cost-effective freight terminal operations, performing cost/benefit analysis on solutions and making recommendations for adoption or improvement. - Research and maintain operational knowledge of regulatory concerns related to Class 8 terminal operations. - Collaborate with various external consultants, service providers, and sources of industry data to ensure knowledgeable advisement on strategy, including: - Partner collaborators - Freight industry SMEs - Network operations/logistics specialists - Facilities construction SMEs - Internal Fleet Operations SMEs - Support planning with potential customers or partners to facilitate successful pilot operations and develop contingency plans for pain points. - Support Torc in the broader understanding of Trucking and Freight Terminal Operations and best practices across the organization. Qualifications - Master’s Degree in Mechanical Engineering, Supply Chain, Logistics, or a related field and 2 years of experience in job offered or related. - Experience with: - Class 8 truck and trailer hub operations - Trucking and transport technologies including truckload segment (TL) along with parallel segments (LTL, intermodal, etc.) and relevant partners (3PL, Brokerage) - Technologies (EDI, TMS, telematics) - Asset tracking and innovations (asset, lane, and network optimization software and best practices) - Systems and processes associated with freight planning, management, and logistics - Freight terminal operations and methods to optimize efficiency and effectiveness of a hub and spoke network - Project planning, development of strategic initiatives, and leading internal and external stakeholders through the planning processes - Computer (Excel, PowerPoint, Word, Power BI) and analytical skills Requirements - Alternative Requirements: - Bachelor’s Degree in Mechanical Engineering, Supply Chain, Logistics, or a related field and 5 years of experience in job offered or related. - Experience with: - Class 8 truck and trailer hub operations - Trucking and transport technologies including truckload segment (TL) along with parallel segments (LTL, intermodal, etc.) and relevant partners (3PL, Brokerage) - Technologies (EDI, TMS, telematics) - Asset tracking and innovations (asset, lane, and network optimization software and best practices) - Systems and processes associated with freight planning, management, and logistics - Freight terminal operations and methods to optimize efficiency and effectiveness of a hub and spoke network - Project planning, development of strategic initiatives, and leading internal and external stakeholders through the planning processes - Computer (Excel, PowerPoint, Word, Power BI) and analytical skills Benefits - Offered Salary is $113,797.00/year

• Own the offline dataset pipeline — design, implement, test, and deploy Cloud-based pipelines that convert logged multi-sensor data into VLM/VLA training datasets, spanning geometric labels (3D/2D detection, tracking, segmentation, depth) through semantic, scenario-level, and action/trajectory-grounded annotations. • Build VLM-assisted auto-labeling — develop open-vocabulary detection, dense captioning, semantic enrichment, and scene/scenario description generation that move beyond closed-set bounding boxes, using foundation models to scale annotation and cut manual labeling cost. • Generate reasoning-grounded labels — produce language-grounded reasoning and chain-of-causation style annotations, temporally aligned to ego-motion and trajectories, to support VLA training and explainable driving behavior. • Mine and curate the long tail — surface rare, difficult, and high-uncertainty scenarios, and build curated datasets that measurably improve downstream VLM/VLA model metrics rather than simply adding volume. • Close the data flywheel — define dataset schemas, quality metrics, and validation; track auto-labeling quality against model requirements; route model failures back into re-labeling and retraining loops. • Partner with the end-to-end model team — co-define dataset specifications with VLM/VLA model developers, own the quality bar and delivery cadence, and operationalize a continuous dataset delivery loop into their training pipelines. • Scale on cloud infrastructure — build distributed, reproducible pipelines using columnar data formats and distributed compute, with disciplined software practices, version control, and documentation. • Lead and mentor — serve as project lead, guide less-experienced engineers, run design reviews, set coding and annotation standards, and drive alignment across team interfaces to the rest of the organization. • Stay current — track the latest advances in multimodal models, auto-labeling, and end-to-end autonomous driving, and translate relevant research into production data systems.

Role Description We are seeking a technically strong and people-focused Engineering Manager to lead our App Engine team. While this is not a hands-on coding role, deep technical expertise in GPU parallel computing, CUDA, and model deployment is essential. You will drive technical direction, prioritize execution, and grow a high-performing team responsible for building production-grade middleware. This role sits at the intersection of software engineering, ML frameworks, GPU optimization, and safety-critical integration. Success requires both the ability to lead and coach engineers, and the technical depth to guide design decisions and challenge assumptions. What You’ll Do - Lead and grow a team building the application framework that integrates deep learning models into Torc’s autonomy stack. - Drive technical execution across key focus areas: CUDA optimization, GPU resource management, model conversion pipelines (PyTorch, TensorRT, ONNX), and real-time system integration. - Ensure reliability, determinism, and scalability across multi-sensor autonomous driving workloads. - Partner with cross-functional teams (Perception, Planning, Systems, Validation, Hardware, Safety) to align technical direction and integration priorities. - Mentor, coach, and develop engineers while cultivating a collaborative, high-trust team culture. - Manage execution and delivery, balancing near-term goals with long-term architectural vision. - Establish scalable processes for development, testing, and integration in a safety-critical environment. Qualifications - Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Robotics, or a related technical field. - 3+ years of full-cycle people management experience. - Deep technical expertise with CUDA, GPU parallel computing, and inference optimization. - Strong proficiency in C++ and Linux-based development with knowledge of real-time systems. - Experience with ML frameworks (PyTorch, TensorRT, ONNX) and model deployment pipelines. - Proven leadership managing software engineering teams in complex, cross-functional environments. - Strong understanding of system-level integration and safety-critical requirements. - Ability to thrive in a fast-paced, dynamic, and highly collaborative environment. Bonus Points - Hands-on leadership style — comfortable diving into technical discussions and design reviews. - Experience building or managing application/middleware frameworks for production AV or ADAS systems. - Familiarity with ISO 26262, ASPICE, or other regulated safety standards. - Background in distributed systems, high-performance computing, or large-scale data recording pipelines. Work Location For this position, we are open to hiring in Ann Arbor, MI, Blacksburg, VA, Fort Worth, TX office work locations in a hybrid capacity. We are also open to hiring Remote in the United States. Benefits - A competitive compensation package that includes a bonus component and stock options. - 100% paid medical, dental, and vision premiums for full-time employees. - 401K plan with a 6% employer match. - Flexibility in schedule and generous paid vacation (available immediately after start date). - Company-wide holiday office closures. - AD+D and Life Insurance.

Role Description The Manager of EQM is responsible for people leadership of a team of Quality Assurance engineers that oversees the engineering team’s quality control and assurance processes. This includes: - Regular compliance audits to ensure compliance and detect gaps against Torc’s QMS system and safety, cybersecurity, and regulatory standards. - Driving strategic initiatives, mitigating risks, performing resource planning, and managing performance for direct reports. - Delivering through your team and collaborating across teams to provide practical and suitable quality management procedures for Torc’s autonomous driving product line. - Supporting a rapid engineering development schedule for Torc’s self-driving system by completing root cause analysis activities and driving efficiency improvements back into the organization. - Collaborating with Development teams, V&V teams, and corporate quality management for planning, execution, and delivery of quality assurance activities. - Communicating and coordinating QMS processes, procedures, and work instructions that cover development and testing activities for hardware, software, system, and overall transportation ecosystem. - Sponsoring and implementing methods to inspect and evaluate engineering deliverables, with automation and data analytics to provide insight into the health of Torc’s QMS system. - Facilitating regular audits and feedback to leadership, outlining findings and follow-up improvements. - Facilitating QMS training materials for Torc employees. - Identifying and reporting on release artifacts included in the Product Development lifecycle including requirements, architecture, design, hardware, software, test, and verification deliverables. - Ensuring the proper baseline identification of current and historical configuration items can be accurately determined throughout the product lifespan, performing periodic audits, and providing verification of configuration items release versioning. - Managing people leadership responsibilities including new hire selection, onboarding, goal setting, career pathing, professional development, employee team building and training, performance management, scheduling and assigning work, resource management, and controlling expenses. - Identifying hiring needs, partnering with People Operations and Talent Acquisition, and assisting in the recruiting, screening, interviewing, selection, and hiring processes for talent across multidisciplinary teams. - Accomplishing team objectives by supervising staff and organizing and monitoring work processes with the highest degree of quality and safety. Qualifications - Bachelor’s degree in computer science, computer engineering, or related technical field. - 10+ years experience in quality management of software/hardware/complex systems. - Experience managing a team of direct reports. - Experience with industry standards such as ISO 9001, ISO 26262, ISO 21448, ISO 21434. - Strong problem-solving/analytical skills, attention to detail, and ability to learn in unstructured environments. - Strong communication and collaboration skills enabling a positive energy and work environment. - Ability to work in a fast-paced environment with evolving software/hardware infrastructure. - Experience delivering production systems from early prototype phases through product launch and in-field maintenance. Benefits - A competitive compensation package that includes a bonus component and stock options. - 100% paid medical, dental, and vision premiums for full-time employees. - 401K plan with a 6% employer match. - Flexibility in schedule and generous paid vacation (available immediately after start date). - Company-wide holiday office closures. - AD+D and Life Insurance. Work Location For this position, we are open to hiring in Ann Arbor, MI, Blacksburg, VA, Fort Worth, TX office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.