Torc Robotics

Account Manager

• Represent the TORC at community events, town halls, business association meetings, chamber of commerce gatherings, and local conferences.
• Develop and maintain strong relationships with state and local community leaders, workforce development organizations, first responders, academic institutions, and non-profit groups.
• Coordinate informational sessions, facility tours, technology demos, and educational programs to increase community awareness and understanding of autonomous trucking.
• Attend meetings with state and local government officials, transportation agencies, public safety departments, and regulatory stakeholders.
• Conduct policy research to support development of policy briefs, memos, and summaries.
• Support legislative tracking activities, monitoring, and analysis.
• Manage a calendar of outreach activities and proactively identify partnership opportunities.
• Work cross-functionally with policy, operations, communications, and safety teams to ensure alignment across outreach initiatives.

Government Relations Manager

Machine Learning Engineer

• Develop and Optimize Computer Vision Algorithms
• Contribute to BEV and 3D Perception Architectures
• Data Management and Processing
• Model Deployment and Optimization
• Cross-functional Collaboration
• Research and Innovation
• Leadership

Senior ML Engineer – Unstructured Environments

Engineer

• Evaluate simulation-based validation strategies to ensure coverage of safety-critical behaviors across the ODD
• Assess scenario libraries and simulation inputs to identify gaps, redundancies, and risk exposure
• Analyze simulation results and validation data to understand system behavior, robustness, and failure modes
• Partner with simulation and autonomy teams to guide scenario selection and prioritization
• Correlate simulation evidence with real-world driving data to assess fidelity and coverage
• Provide high-level validation insights that inform safety cases, readiness reviews, and deployment decisions
• Recommend improvements to simulation workflows, metrics, and validation methodologies
• Serve as a senior technical voice on validation strategy, mentoring engineers and influencing best practices

Senior Simulation and Scenario Validation Engineer

Data Entry

• As a Data Annotator, you will work with 2D images and 3D sensor data to help AI systems recognize and understand their environment.
• Label objects using specialized tools to create 2D bounding boxes, 3D cuboids, and other shapes representing vehicles, road elements, obstacles, and more.
• Review pre-labeled data to ensure it complies with detailed guidelines.
• Accept, reject, or correct annotations using our software.
• Provide clear notes when corrections are required.
• Learn and progressively master our internal tools.
• Your work directly contributes to the development of safer autonomous vehicle technologies by ensuring AI models are trained on accurate, high-quality data.

Data Annotator

Security Engineer

• 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.

Senior Director, Product Cybersecurity

Technical Writer

• Manage, participate in, and lead the work of a team of technical writers.
• Support the design, development, preparation, and maintenance of technical content including processes, workflows, standards, operating models, user manuals, tutorials, policies, business schedules, technical documentation, etc.
• 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.

Manager, Technical Writing

Manager

• Lead and coordinate the investigation of a potential safety concerns with key stakeholders, including but not limited to Torc Engineering and Fleet Operations.
• Actively monitor the teams’ investigations as they identify trends, possible safety-related defects, and/or non-compliances.
• Conduct thorough, data-driven, but timely, investigations to determine the scope, cause, and consequence of the issue, the root cause, and all potential corrective actions.
• Actively track and manage identified issues from the onset of an investigation through its conclusion.
• Conduct field inspections of post-event vehicles or in-service vehicles as necessary.
• Provide recommendations to leadership and governance bodies on possible actions for the identified issues.
• Provide timely notification to management of potential safety concerns based on the severity.
• Monitor field fix performance for effectiveness and recommend additional actions as necessary.
• Collaborate with the Safety Data and Analysis Director to identify and develop novel analytical methods and tools to facilitate the identification of concerns, support safety investigations and apply available analytics data to ongoing safety investigations and safety risk management.
• Support the production data collection parameters and the review process required for safety performance monitoring and regulatory compliance.
• Communicate with NHTSA and other Federal and State agencies about open investigations, and emerging issues.
• Manage the regulatory reporting of safety defects and coordinate with our business partners.
• Foster a cohesive and supportive team environment by putting the needs of the team first, through the elimination of roadblocks, coaching, mentoring, and other actions to help team members develop and perform to their highest potential.
• Responsibilities include employee team building and training, performance management, scheduling and assigning work, resource management, enforcing policies, and procedures, and proactively managing employee relations and conflict while representing Torc’s core values

Safety & Incident Manager

• Sets and facilitates processes for the delivery of scalable, high-quality software and services.
• Establishes plans and ensures team delivery toward milestones.
• Effectively collaborates with others in the organization to improve the team’s service offerings.
• Sets operational standards and owns performance against those standards; ensures standards are aligned with other teams in the division.
• Owns performance management, career development, and coaching of the team.
• Recruit's high-quality technical candidates to fill open headcount.
• Establishes and maintains a culture of respect, productivity, collaboration, and positivity.

Manager, Engineering – ML Ops & Frameworks

• 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.

Senior ML Engineer – Neural Rendering

Data Scientist

• Lead statistically sound analyses to answer high-impact safety and regulatory questions, including how system performance translates to risk
• Apply statistical methods to quantify and assess risk using a variety of data sources including large-scale time-series data (e.g., vehicle and sensor data) and structured safety datasets
• Bridge safety and engineering teams by translating complex analyses into information engineers can act on
• Develop automated, production-ready analysis workflows that support continuous safety monitoring
• Select and defend appropriate statistical approaches for sparse, noisy, or rare-event data, applying Bayesian and frequentist methods and leveraging machine learning techniques where appropriate
• Communicate statistically defensible findings to technical leaders, safety stakeholders, and executives