Torcrobotics

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. <a href="https://torc.ai/daimler-testing-automated-trucks-public/" rel="noopener noreferrer ugc" target="_blank">Now a part of the Daimler family</a>, 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 As a Staff Machine Learning Engineer specializing in BEV (Bird's-Eye View) and Multi-Modal Perception, you will lead the development of next-generation models that unify information across cameras, LiDAR and radar to deliver a rich spatial understanding of the driving environment. You will drive architectural innovation, large-scale model training, and data-driven improvements that directly advance the perception capabilities at the heart of Torc's autonomous driving stack. This is a technical leadership role focused on model innovation and maturity, not downstream feature integration.
What You'll Do
<ul>
<li>Lead BEV model development: define and execute the technical roadmap for BEV-based perception models across multiple tasks (e.g., detection, segmentation, road topology, and scene understanding).</li>
<li>Design advanced multi-modal architectures that fuse heterogeneous sensor data (camera, LiDAR, radar, HD maps) into unified spatial representations.</li>
<li>Develop foundational perception models leveraging BEV transformers, voxel-based encoders, or implicit scene representations.</li>
<li>Own large-scale training workflows — from data sampling strategies and augmentation pipelines to distributed training and hyperparameter optimization.</li>
<li>Advance model robustness and generalization, addressing long-tail conditions such as low visibility, occlusions, and rare scene configurations.</li>
<li>Establish evaluation frameworks for geometric accuracy, temporal stability, and cross-domain transfer performance.</li>
<li>Collaborate cross-functionally with sensor calibration, mapping, and fusion teams to ensure cohesive perception model interfaces.</li>
<li>Mentor and guide ML engineers, cultivating best practices in experimentation, code quality, and model validation.</li>
<li>Stay at the forefront of ML research, exploring self-supervised learning, large-scale pretraining, or foundation models for 3D perception.</li>
</ul>
What You'll Need to Succeed
<ul>
<li>10+ years of experience in deep learning for perception, 3D vision, and/or autonomous systems.</li>
<li>M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or related field (or equivalent practical experience).</li>
<li>Proven expertise in BEV modeling, 3D scene understanding, and multi-view fusion.</li>
<li>Strong background in multi-modal sensor fusion, particularly integrating camera and LiDAR data.</li>
<li>Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.</li>
<li>Experience with large-scale data pipelines, distributed training, and experiment management systems.</li>
<li>Demonstrated leadership in driving ML model innovation and mentoring technical teams.</li>
</ul>
Bonus Points
<ul>
<li>Experience with autonomous driving or robotics perception in production environments.</li>
<li>Experience with MLOps and infrastructure tools (Ray).</li>
<li>Hands-on expertise in BEV-based ML architectures, LiDAR-vision fusion, or spatial-temporal modeling.</li>
<li>Familiarity with 3D labeling, calibration, and sensor simulation pipelines.</li>
<li>Track record of publications or open-source contributions in top-tier venues (CVPR, ICCV, NeurIPS, ICRA, CoRL).</li>
<li>Understanding of performance tradeoffs and deployment constraints (latency, memory, accuracy).</li>
</ul>
Work Location: For this position, we are open to hiring in Ann Arbor, MI 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:   
<ul>
<li>A competitive compensation package that includes a bonus component and stock options</li>
<li>100% paid medical, dental, and vision premiums for full-time employees   </li>
<li>401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures</li>
<li>AD+D and Life Insurance  </li>
</ul>
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: 102945<div><div><div>Hiring Range for Job Opening </div><div>US Pay Range</div><div>$215,500—$258,600 USD</div></div></div>

Staff, Machine Learning Engineer - BEV/Multi-Modal Perception

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. <a href="https://torc.ai/daimler-testing-automated-trucks-public/" rel="noopener noreferrer ugc" target="_blank">Now a part of the Daimler family</a>, 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 Multi-Modal Perception team is responsible for developing the machine learning systems that enable our autonomous trucks to perceive and understand the world around them. By combining information from cameras, LiDAR, and other sensor modalities, the team builds production-ready perception capabilities that provide the foundation for safe, reliable autonomous driving.
As a Senior Machine Learning Engineer – 3D Perception, you'll join a collaborative team of machine learning engineers and researchers focused on solving complex real-world perception challenges. This role is primarily focused on advancing our Bird's Eye View (BEV) perception capabilities, developing production machine learning solutions that improve environmental understanding, model robustness, and system performance across Torc's autonomy stack.
What You'll Do
<ul>
<li>Design, develop, and deploy production machine learning models supporting Torc's perception systems.</li>
<li>Own end-to-end model development for scoped perception problem areas, from data preparation and training through evaluation and deployment.</li>
<li>Write production-quality ML code to support scalable training, evaluation, and inference workflows.</li>
<li>Analyze model performance, identify failure modes, and iterate to improve robustness, accuracy, and generalization across diverse driving environments.</li>
<li>Develop and optimize perception models leveraging multi-modal sensor data, with an emphasis on camera-based and 3D perception systems.</li>
<li>Collaborate with software engineers, infrastructure teams, and autonomy engineers to integrate perception models into production autonomy software.</li>
<li>Support improvements to training pipelines, data workflows, and tooling that accelerate model iteration and deployment.</li>
<li>Contribute to model architecture discussions and technical decision-making within the team.</li>
<li>Mentor junior engineers on implementation, experimentation, and machine learning best practices.</li>
</ul>
What You'll Need to Succeed
<ul>
<li>Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 6+ years of industry experience, OR Master's degree with 3+ years, OR Ph.D. with 1+ years of experience.</li>
<li>Experience developing production machine learning models for computer vision, perception, robotics, or autonomous systems.</li>
<li>Strong programming skills in Python and PyTorch, with experience writing production-quality ML code.</li>
<li>Experience training, evaluating, and improving deep learning models using large-scale datasets.</li>
<li>Experience working with image-based and/or 3D perception systems.</li>
<li>Strong understanding of deep learning architectures commonly used for perception applications.</li>
<li>Experience debugging model behavior, analyzing performance metrics, and improving model reliability.</li>
<li>Ability to translate ambiguous perception challenges into practical machine learning solutions and deliver results independently.</li>
<li>Experience collaborating cross-functionally to integrate ML models into larger software systems.</li>
</ul>
Bonus Points
<ul>
<li>Experience developing perception systems for autonomous driving or robotics.</li>
<li>Experience with LiDAR, point cloud processing, sensor fusion, or other 3D perception techniques.</li>
<li>Experience with temporal perception models or video-based learning.</li>
<li>Experience with C++, ROS, or robotics software development.</li>
<li>Experience deploying machine learning models into production autonomy or robotics platforms.</li>
<li>Experience working with large-scale perception datasets and distributed training environments.</li>
<li>Familiarity with perception evaluation frameworks, model validation, and performance benchmarking.</li>
<li>Experience improving ML tooling, infrastructure, or developer workflows to accelerate model iteration.</li>
</ul>
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.
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:   
<ul>
<li>A competitive compensation package that includes a bonus component and stock options</li>
<li>100% paid medical, dental, and vision premiums for full-time employees   </li>
<li>401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures</li>
<li>AD+D and Life Insurance  </li>
</ul>
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: 102824<div><div><div>Hiring Range for Job Opening </div><div>US Pay Range</div><div>$177,300—$212,800 USD</div></div></div>

Senior, Machine Learning Engineer - 3D Perception

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. <a href="https://torc.ai/daimler-testing-automated-trucks-public/" rel="noopener noreferrer ugc" target="_blank">Now a part of the Daimler family</a>, 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 Multi-Modal Perception team is responsible for developing the machine learning systems that enable our autonomous trucks to perceive and understand the world around them. By combining information from cameras, LiDAR, and other sensor modalities, the team builds production-ready perception capabilities that provide the foundation for safe, reliable autonomous driving.
As a Machine Learning Engineer II – 3D Perception, you'll join a collaborative team of machine learning engineers and researchers focused on solving complex real-world perception challenges. This role is primarily focused on advancing our Bird's Eye View (BEV) perception capabilities by developing, evaluating, and improving production machine learning solutions that support environmental understanding, model robustness, and system performance across Torc's autonomy stack.
<h3>What You'll Do</h3>
<ul>
<li>Design, develop, and improve machine learning models supporting Torc's perception systems.</li>
<li>Own model development and delivery for well-defined perception problem areas, from data preparation and training through evaluation and integration.</li>
<li>Write production-quality Python and PyTorch code to support scalable training, evaluation, and inference workflows.</li>
<li>Analyze model performance, identify failure modes, and independently troubleshoot issues to improve robustness, accuracy, and generalization.</li>
<li>Develop and evaluate perception models leveraging multi-modal sensor data, with an emphasis on camera-based and 3D perception systems.</li>
<li>Collaborate with software engineers, infrastructure teams, and autonomy engineers to integrate perception models into larger production software systems.</li>
<li>Contribute to improvements in training pipelines, data workflows, experimentation tooling, and developer workflows that accelerate model iteration and deployment.</li>
<li>Participate in model architecture discussions and contribute technical recommendations within the team.</li>
<li>Lead small technical initiatives or model components with guidance from senior engineers.</li>
<li>Support and mentor Machine Learning Engineer I team members on implementation, experimentation, and machine learning best practices.</li>
<li>Document technical work, evaluation results, and design decisions to support knowledge sharing and long-term maintainability.</li>
</ul>
What You'll Need to Succeed
<ul>
<li>Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of relevant industry experience, OR Master's degree with 3+ years of relevant experience, or equivalent practical experience.</li>
<li>Experience developing machine learning models for computer vision, perception, robotics, autonomous systems, or a closely related domain.</li>
<li>Strong programming skills in Python and PyTorch, with experience writing maintainable, production-quality machine learning code.</li>
<li>Experience training, evaluating, and improving deep learning models using large-scale datasets.</li>
<li>Experience working with image-based and/or 3D perception systems.</li>
<li>Solid understanding of deep learning architectures commonly used for perception applications.</li>
<li>Experience debugging model behavior, analyzing performance metrics, and proposing practical improvements.</li>
<li>Ability to independently execute complex machine learning work within well-defined problem areas.</li>
<li>Experience collaborating cross-functionally to integrate machine learning models into larger software systems.</li>
<li>Strong problem-solving skills with the ability to operate effectively in an environment with evolving technical challenges and requirements.</li>
</ul>
Bonus Points
<ul>
<li>Experience developing perception systems for autonomous driving, robotics, or ADAS.</li>
<li>Experience with LiDAR, point cloud processing, sensor fusion, BEV representations, or other 3D perception techniques.</li>
<li>Experience with temporal perception models or video-based learning.</li>
<li>Experience with C++, ROS, or robotics software development.</li>
<li>Experience deploying machine learning models into production autonomy or robotics platforms.</li>
<li>Experience working with large-scale perception datasets and distributed training environments.</li>
<li>Familiarity with perception evaluation frameworks, model validation, and performance benchmarking.</li>
<li>Experience improving ML tooling, automation, training workflows, or experimentation infrastructure.</li>
<li>Experience leading a small technical initiative or owning a production ML component from development through deployment.</li>
</ul>
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.
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:   
<ul>
<li>A competitive compensation package that includes a bonus component and stock options</li>
<li>100% paid medical, dental, and vision premiums for full-time employees   </li>
<li>401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures</li>
<li>AD+D and Life Insurance  </li>
</ul>
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: 102882<div><div><div>Hiring Range for Job Opening </div><div>US Pay Range</div><div>$153,200—$183,800 USD</div></div></div>

Machine Learning Engineer, II - 3D Perception

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. <a href="https://torc.ai/daimler-testing-automated-trucks-public/" rel="noopener noreferrer ugc" target="_blank">Now a part of the Daimler family</a>, 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 
As a Machine Learning Engineer on the ML Ops Framework &amp; Conversion team, you will support the day-to-day operations that keep Torc's model development ecosystem running smoothly. Our team is comprised of engineers with deep expertise in ML and RL frameworks, embedded systems, and autonomous driving — united by a focus on getting models from development into the real world reliably and at scale. In this role, you will provide general MLOps support to model development teams, helping triage issues, maintain pipelines, and ensure engineers have what they need to move fast. You'll gain broad exposure across the ML stack and grow alongside a team working on some of the most complex model infrastructure in autonomous trucking.
What You’ll Do 
<ul>
<li>Provide on-call MLOps support for model development teams, triaging and resolving pipeline issues as they arise.</li>
<li>Assist in debugging model development workflows and identifying root causes across the ML stack.</li>
<li>Collaborate with senior engineers to improve tooling, documentation, and operational processes.</li>
<li>Communicate and collaborate with model development teams and broader stakeholders, ensuring issues are resolved quickly and findings are shared across the organization. </li>
</ul>
What You’ll Need to Succeed 
<ul>
<li>Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 0-3+ years of experience</li>
<li>Proficiency in Python, with foundational experience in ML frameworks such as PyTorch and familiarity with model training pipelines.</li>
<li>Experience with MLOps tooling — CI/CD systems, monitoring, logging, and pipeline orchestration.</li>
<li>Strong debugging and problem-solving skills with an ability to triage issues under pressure.</li>
<li>Clear communicator who can work across teams and translate technical issues for different audiences.</li>
</ul>
Bonus Points 
<ul>
<li>Experience with large sensor data formats (MCAP, Parquet) and associated processing tools (PyArrow, Daft, Pandas).</li>
<li>Experience with distributed compute/orchestration frameworks (Ray, Anyscale).</li>
<li>Infrastructure-as-code experience (Terraform).</li>
<li>Experience with edge deployment or embedded hardware.</li>
<li>Exposure to autonomous driving or robotics ML workflows.</li>
</ul>
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:   
<ul>
<li>A competitive compensation package that includes a bonus component and stock options </li>
</ul>
<ul>
<li>100% paid medical, dental, and vision premiums for full-time employees </li>
</ul>
<ul>
<li>401K plan with a 6% employer match </li>
</ul>
<ul>
<li>Flexibility in schedule and generous paid vacation (available immediately after start date) </li>
</ul>
<ul>
<li>AD+D and Life Insurance </li>
</ul>
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. 
Hiring Range for Job Opening  
US Pay Range 
$132,400  - $158,900 USD 
Job ID:  102940

Torcrobotics

Open jobs at Torcrobotics

Staff, Machine Learning Engineer - BEV/Multi-Modal Perception

Senior, Machine Learning Engineer - 3D Perception

Machine Learning Engineer, II - 3D Perception

ML Engineer, I - MLOps Framework

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