Torc Robotics

Develop and optimize perception models for autonomous vehicles, including data processing, model training, deployment, and collaboration with cross-disciplinary teams. | 6+ years of applied ML engineering experience in autonomous vehicles or robotics, proficiency in Python and PyTorch, and a strong scientific understanding of 3D BEV modeling and sensor calibration. | 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’s Model Development Organization is hiring a Senior ML engineer team who develops our next generation of Road-Lane BEV and image space models. Torc's Autonomy Applications software utilizes cutting-edge deep learning techniques to perceive the vehicle's environment, predict the movements of other vehicles, and execute accurate driving decisions. We are actively seeking a highly experienced senior machine learning engineer to join our Road Lane perception team. This is an exceptional opportunity for you to have a significant impact on the future of the autonomous vehicle industry by leveraging AI. As a Senior ML Engineer of the team, you are applying machine learning science in a production focused environment. You are using machine learning models in both a unimodal and multimodal context, to create a 3D representation of the road surface and lane geometry. Training, validation, data science, architectural design are your daily work. You are interested in understanding how your model performs in deployment, for what you collaborate closely with deployment focused teams. You mentor and guide more junior members of the team and are always interested in the newest trends in research, eager to translate scientific improvements into our production grade machine learning pipelines. What You'll Do Develop and Optimize Computer Vision Algorithms Training monocular and multimodal Road Model Detection models. Comprehending objects, lanes, obstacles, and weather conditions within the driving environment. Enhance perception systems to process multi-modal sensor data (camera, LiDAR, radar) effectively. Utilizing data science techniques to analyze model performance, data distributions, and identify corner cases. Contribute to BEV Self-Driving Architectures Design and implement deep learning models for Road Model inference in BEV frameworks. Integrate BEV representations into end-to-end planning and control pipelines. Use SD maps as priors for enhanced performance. Data Management and Processing Develop efficient pipelines for large-scale data processing and annotation(pseudo-labeling) of sensor data (e.g., LiDAR point clouds, image frames). Implement data augmentation, synthetic data generation, and domain adaptation strategies to improve model robustness. Model Deployment and Optimization Deploy machine learning models on edge devices, ensuring real-time performance and resource efficiency. Optimize inference pipelines for embedded and automotive-grade hardware platforms. Cross-functional Collaboration Collaborate with robotics, software, and hardware engineering teams to ensure seamless integration of perception systems. Work with product and operations teams to define performance metrics and improve system reliability. Research and Innovation Stay updated with the latest advancements in computer vision, Road Lane monocular and BEV models, and autonomous driving technologies. Translating scientific research into production-grade machine learning pipelines. Publish findings in top-tier conferences and journals (optional but encouraged). Leadership Contributing to the model development roadmap and providing strategic advice to technical leadership. Mentoring and guiding junior team members to enhance their technical skills and career growth. What you’ll need to Succeed: Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of professional applied MLE engineering experience in Autonomous Vehicle, Robotics or related industry. Master’s degree in Computer Science, Software Engineering, or related field with 3+ years of professional applied MLE engineering experience in Autonomous Vehicle, Robotics or related industry. Scientific understanding of machine learning for 3D BEV space modeling, including the ability to apply state-of-the-art ML research and methods in production. Applied understanding and hands-on expertise in lane and road geometry concepts, multi-camera calibration, and sensor projection. Experience with understanding data distributions and analyzing long tail distributions Mastery of Python and PyTorch, with the ability to transition research level code to production and deployment ready standards Bonus points! PhD in machine learning or data science Proficient in writing CUDA kernels and developing custom PyTorch operations. Publications at top tier computer vision / machine learning conferences or journals (CVPR, ICCV, JMLR, IJCV) Applied experience using Ray in an autonomous vehicle (AV) or related environment to scale machine learning workloads, including distributed training, large-scale experimentation, and hyperparameter tuning across multi-node and multi-GPU systems. Work Location: For this position, we are open to hiring in either the Torc Montreal, Quebec (Canada) or Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States or Canada. 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. US Base Pay Range: $199,200 - $298,800 Job ID: R-102413

Develop and execute product roadmaps for autonomous vehicle software, collaborate with engineering and stakeholders, and lead cross-functional teams. | Requires 6+ years in autonomous vehicles or driver assistance systems, 2+ years in technical product management, and experience leading technical teams. | 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: Serve as a subject matter expert for Product Management and share responsibility for defining and supporting the development of a Virtual Driver product that meets customer needs as effectively and efficiently as possible. Collaborate with a wide range of internal and external stakeholders to identify and define customer needs, understand expectations, business value, and support development of the Product Roadmap and Features required to meet these needs. What You'll Do: Develop a shared product vision and roadmap in close collaboration with engineering managers, domain experts in planning, perception, prediction, controls and hardware, senior leadership, and other stakeholders. Work with systems and engineering team to execute on the roadmap, unblock them when needed and re-prioritize as appropriate. Analyze on-road data and performance metrics to ensure we are always focusing on the highest impact issues, re-prioritizing as needed. Advocate for and develop new or more comprehensive metrics, as needed. Act as a liaison between the engineering team and relevant stakeholders. Gather user requirements, build product requirements, and communicate to engineering and other stakeholders. Develop or improve processes to ensure cross-functional alignment between teams and projects. Communicate roadmap and priorities clearly to a variety of stakeholders across the entire company. Collaborate with strategy, engineering, system design, program Management, marketing, and other relevant teams to ensure product vision, strategies, and roadmaps bring to market products that solve user needs and meet Torc’s business objectives. Collaborate cross-functionally to organize stakeholders, manage dependencies, communicate status, and execute as efficiently as possible. Create long-term and short-term product goals and completions, analysis and forecasts for management and teams. Responsible for product management aspect of Autonomy Software, Planning and Execution – active participant in PI Planning, help with prioritization of team efforts and responsible to ensure safety and quality implemented; responsible to ensure delivering value through the deployed product and leading with Lean-Agile mindset focus on small incremental deliveries to the system aligned to the roadmap and implementation plan. Responsible for Autonomy Software Product Definition, supports internal audits to track compliance; responsible to define milestones and guide the organization on their way Responsible for Autonomy Software Readiness – participate in Iteration Reviews, Iteration and Solution Demos to evaluate achieved efforts versus planned. Responsible for Autonomy Software Business Alignment – ensure solutions fit within the overall economic business goals established, ensure feature development aligns with business strategy and commitments. Supervise the team of product managers. Guide the team to set, track, and achieve goals aligned with companywide vision, goals, and initiatives. Provide up-to-date guidance and direction to employees to ensure compliance with federal, state, and company policies, procedures, guidelines, and management principles What You’ll Need to Succeed: Master’s or Bachelor's Degree in Engineering, Computer Science, or software or related field of study 6+ years of progressive experience with autonomous vehicles, advanced driver assistance systems, etc. 2+ years of product management experience in technical program management. Previous experience working with technical teams and leading others through detailed processes and results driven strategies. Systems Thinker with strong problem-solving skills. Experience in defining and implementing processes as well as process roll out. Experience in the interface between engineering and legal. Must possess a passion and the ability to develop and grow colleagues to their highest potential. Excellent interpersonal, verbal, and written communication skills to build trust and strong working relationships, effectively create and proofread documents and reports, and communicate to a diverse workforce. Keen attention to detail to identify problems and processes that don’t comply with protocol. Critical/logical thinking to identify problems and provide solutions to ensure efficiency, safety, and quality. Strong business insight and judgment, team orientation and collaborative style. Strong time management and organizational skills to plan, develop, coordinate resources, prioritize effectively, and maintain competing demands simultaneously with frequent interruptions and in a fastpaced environment. Ability to ethically handle sensitive and confidential information with impartiality and professionalism. Bonus Points! Experience in product safety topics as well as technical compliance. Adept in intercultural competences and experienced with an international work environment. Familiar with Agile principles with Scaled Agile experience preferred. 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. Job ID: R-102414 Hiring Range for Job Opening US Pay Range $195,500—$234,600 USD