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Torc Robotics

4 open positions available

1 location
1 employment type
Actively hiring
Full-time

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Senior, ML Engineer - Neural Rendering

Torc RoboticsAnywhereFull-time
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Compensation$161K - 212K a year

Develop and maintain full-stack web applications, including frontend and backend components, with a focus on scalable, high-quality software. | Proficiency in TypeScript, JavaScript, Angular, React, Node.js, and experience with full-stack development; at least 5 years of professional experience in software engineering. | 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 marching towards its AV 3.0 strategy. Simulation and Data Generation are key elements towards autonomous trucking. The team builds the sensor simulation based on Neural Rendering and Generative models for Torc’s data-driven simulator. High-quality data from novel scenarios close the domain data gap, solving one of the biggest challenges for safe autonomous driving. The team works on state-of-the-art approaches for Neural Rendering and data generation for camera, LiDAR, and Radar sensor data, that contributes to the Torc’s data workflow for training and validation across the complete AV stack. What You’ll Do: Implement the latest research advances in Neural Rendering and generative models Translate cutting edge solution in the domain of autonomous driving for high-quality Camera, LiDAR and Radar sensor simulations Support implementing a neural rendering framework that allows to scale perception simulation and AV 3.0 training Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks Own development projects in the team – From research, design, to implementation, testing and deployment Design, implement, test and deploy shippable production quality software starting from early prototypes using disciplined software development processes. Work in the cloud machine learning ecosystem alongside other machine learning services existing in the company. Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution, coaching and mentoring as needed. What You’ll Need to Succeed: Proficiency in Python and deep learning frameworks such as PyTorch. PhD or equivalent work experience of 6+ years in relevant fields (CS, Robotics, Electrical Engineering) with industry experience in shipping production software. Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching). Background in Computer Graphics, 3D Reconstruction, or 3D Computer Vision. Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment. Experience with VDI and cloud based machine learning development environments. Expected to drive alignment across team interfaces to the rest of the organization. Designs, maintains and owns team technical solutions and drives consensus. Mentors and guides engineers within the group. Bonus Points! Experience with autonomous driving or robotics perception in production environments. Proficiency with CUDA programming for efficient rendering of large-scale scenes Publications in top-tier CV/AI/Graphics conferences (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, SIGGRAPH) or journals Experience with MLOps and infrastructure tools (Ray) Familiarity with 3D labeling, calibration, and sensor simulation pipelines. Handling of Autonomous Driving Sensors – Multiple timestamp, multiple sensor data from cameras, lidars, and radars 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) 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: $160,800 - $212,300 Job ID: R-102432

TypeScript
JavaScript
Angular
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Posted about 10 hours ago
TR

Senior, ML Engineer - Unstructured Environments

Torc RoboticsAnywhereFull-time
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Compensation$199K - 299K a year

Develop and optimize perception models for autonomous vehicles, including data processing, model training, deployment, and system integration. | Requires 6+ years in ML engineering, expertise in 3D perception, sensor fusion, and deployment on embedded systems, with a focus on autonomous vehicle perception systems. | 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 Senior ML Engineer who develops our next-generation perception models for operating in complex, unstructured environments. Our systems utilize cutting-edge deep learning techniques to perceive the vehicle’s surroundings, detect objects and terrain features, and enable accurate autonomous navigation decisions in challenging conditions. We are seeking a highly experienced AI/ML engineer to join our team. This is an excellent opportunity to have a significant impact on autonomous systems operating in real-world, demanding environments by leveraging advanced AI techniques. As a Senior ML Engineer, you will apply machine learning perception techniques to build an on-vehicle perception processing pipeline, using both unimodal and multimodal models to create 3D representations of terrain surfaces and navigable areas. Training, validation, data science, inference optimization, and architectural design are your daily work. You will work closely with a group of fast-moving engineers to prototype, train and deliver scientific advances in perception to vehicles operating in challenging real-world environments. What You'll Do: Develop and Optimize Computer Vision Algorithms Train monocular and multimodal terrain and road surface detection models. Detect and classify objects, obstacles, traversable surfaces and environmental conditions. Enhance perception systems to process multi-modal sensor data (camera, LiDAR, etc.) effectively. Utilize data science techniques to analyze model performance, data distributions, and identify corner cases. Contribute to BEV and 3D Perception Architectures Design and implement deep learning models for terrain and surface inference in BEV frameworks. Integrate BEV representations into navigation and motion planning pipelines. Data Management and Processing Develop efficient pipelines for large-scale data processing and annotation (pseudo-labeling) of sensor data (LiDAR point clouds, image frames). Implement data augmentation, synthetic data generation, and domain adaptation strategies to improve model robustness across diverse terrain types and environmental conditions. Model Deployment and Optimization Deploy machine learning models on edge compute platforms, ensuring real-time performance and resource efficiency. Optimize inference pipelines for embedded and ruggedized hardware platforms. Cross-functional Collaboration Collaborate with robotics, software, and hardware engineers to ensure seamless integration of perception systems. Work with technical leadership to define performance metrics and improve system reliability. Research and Innovation Stay current with the latest advancements in computer vision, terrain modeling, BEV models, and autonomous navigation. Translate scientific research into production-grade machine learning solutions for real Publish findings in top-tier conferences and journals (optional but encouraged). Leadership Contribute to the model development roadmap and provide strategic advice to technical leadership. Mentor and guide 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 ML engineering experience in autonomous systems, robotics, or a 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 environments. Applied expertise in terrain and surface geometry modeling, multi-camera camera calibration, and sensor projection. Experience analyzing data distributions and addressing long-tail edge cases. 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, computer vision, 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, NeurIPS, IROS). Applied experience using Ray or similar frameworks to scale ML workloads across multi-node and systems for distributed training and experimentation. Experience with perception systems operating in GPS-denied, GPS-challenged, or visually degraded environments. 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. US Pay Range: $199,200 - $298,800 Job ID: R-102486

Deep Learning
Computer Vision
Sensor Data Processing
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Posted 6 days ago
TR

Senior Director, Product Cybersecurity

Torc RoboticsAnywhereFull-time
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Compensation$262K - 315K a year

Developing and maintaining product cybersecurity architecture, overseeing controls, and ensuring compliance in a safety-critical environment. | Extensive experience in cybersecurity for safety-critical systems, management of engineering teams, and proficiency in cybersecurity standards and regulations. | 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: The Senior Director of Product Cybersecurity owns the cybersecurity function in Torc’s product lines. This encompasses development and leadership of a team of product cybersecurity engineers and close coordination with the other departments in the Safety and Regulatory team to develop the cybersecurity elements of the Torc Safety Case in addition to developing and leading subsets of the implementation of the Torc cybersecurity management system. This role requires a deep understanding of both software and hardware security principles, a proactive approach to threat modeling, and the ability to work cross-functionally with various departments to integrate robust security measures into our products from conception through deployment. What you'll do: Develop and maintain a comprehensive product cybersecurity architecture for our product ecosystem, ensuring alignment with industry standards and business objectives. Stay well-informed of emerging cybersecurity threats and technologies; continuously updating our cybersecurity strategies and solutions accordingly. Oversee and evaluate the implementation of cybersecurity controls, including but not limited to, encryption, access controls, network security, and secure coding practices. Collaborate with product development teams to incorporate cybersecurity into the design and development lifecycle of products. Liaise with external cybersecurity vendors and partners, managing relationships, and ensuring the effective integration of third-party security solutions. Responsible for career development and performance management of the team. Document, maintain, and lead the implementation of key activities in the cybersecurity management system. Conduct, with a cross-functional team, a thorough threat analysis and risk assessment for existing and new products; identifying potential vulnerabilities and proposing mitigation strategies. Complete the evidence to support the safety case claims for product cybersecurity. Ensure compliance with relevant industry, regulatory, and organizational cybersecurity standards and policies. Represent Torc at external standards and industry bodies and communicate our product cybersecurity approach. Prepare and present reports on cybersecurity architecture, risk assessments, and mitigation strategies to senior management and relevant stakeholders. Participate in and support product cybersecurity incident response and forensic activities. Coordinate and share cybersecurity information, risk assessments, and incident updates with IT and Enterprise Cybersecurity teams to ensure consistent alignment of product cybersecurity practices with enterprise-wide standards and response protocols. What You’ll Need to Succeed: Bachelor's Degree in Computer Science, Cybersecurity, or related technical field. 7+ years of experience of hands-on engineering with safety-critical, cyber-physical systems (automotive, aerospace, medical). 5+ years of experience managing engineers, directors, budgets, and strategic initiatives. Ability to be a strategic partner to the organization; identify and plan how to meet future needs of the organization on a global scale. Ability to effectively manage a team of professionals and identify opportunities to grow and develop the team. Strong understanding of cybersecurity protocols. Proficient in automotive cybersecurity standards and regulations (e.g., ISO/SAE 21434, UN R155). Proficient in a cybersecure development lifecycle such as the AVCDL (A Versatile Cybersecurity Development Lifecycle), Microsoft SDL, or similar. Excellent written and verbal communication skills; able to articulate complex cybersecurity concepts to a varied audience. Proven track record of implementing successful cybersecurity solutions in product development. Bonus Points! Experience in the autonomous vehicle industry, particularly with L4 self-driving technology. 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-102440 Hiring Range for Job Opening US Pay Range $262,100—$314,500 USD

Cybersecurity architecture
Threat modeling
Product development
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Posted 10 days ago
TR

Manager, Technical Writing

Torc RoboticsAnywhereFull-time
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Compensation$118K - 141K a year

Lead and develop a team of technical writers, ensuring documentation quality, standardization, and compliance with standards. | Requires 6+ years in technical writing, 3+ years in people leadership, and experience with software development documentation and tools. | 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: The Torc Technical Writing team serves all teams across Torc by writing and maintaining a variety of documentation that communicates complex information clearly, accurately, and concisely for the intended audience. The team works directly with document owners and subject matter experts (SMEs) to study the requirements and audience. What You'll Do: You will be responsible for managing, participating in, and leading the work of a team of technical writers. The team supports the design, development, preparation, and maintenance of technical content including processes, workflows, standards, operating models, user manuals, tutorials, policies, business schedules, technical documentation, etc. Other job-related duties will include: Lead, develop, and grow a team of high-performing technical writers. Being a key decision maker on documentation templates, documentation management, standardization, organization, security processes, and archiving to ensure compliance with corporate quality standards. Ensuring documentation work is tracked to meet milestone dates and internal or external deliverables. Evaluating business cases for external documentation and developing a strategy and a team to support as applicable. Ensure creation of and adherence to standardization and documentation quality standards (including consistency, branding, adherence to a style guide, etc.) by all technical writers on the team. This may require review and editing or staffing team with an editor. Define and own execution of technical writing mechanisms, including intake, prioritization, execution, and reporting processes. What you’ll need to Succeed: Bachelor’s Degree in English, Communication, Business Administration, Technical Writing, or business-related discipline. 3+ years people leadership experience. 6+ years of experience required in technical writing and documentation in a software development environment. Proven ability to mentor, coach, and manage high-performing teams. Strong understanding of software development processes, APIs, and modern documentation tools (e.g. Markdown, GitHub, Confluence) Experience creating infographics such as diagrams, screenshots, workflows, graphs, etc. Bonus Points! Experience in project management working within a software development or engineering context. Experience in a product development organization. Keen attention to detail to identify problems and processes that do not comply with protocol or standards. Adept at ensuring consistency and accuracy in documentation. MBA or Master’s degree in English, Communication, Business Administration, Technical Writing or other business-related discipline. Experience working with Subject Matter Experts (SMEs) both in-person and remote. 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-102447 Hiring Range for Job Opening US Pay Range $117,600—$141,100 USD

Technical Writing
Team Leadership
Documentation Management
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Posted 16 days ago

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