Label 2D images and 3D LiDAR sensor data to train AI systems for autonomous trucks. Review and correct pre-labeled data to ensure high quality and adherence to detailed guidelines.
Torc Robotics
23 Remote Job Openings at Torc Robotics
Label 2D images and 3D sensor data, including LiDAR, to create bounding boxes and cuboids for AI training. Review and correct pre-labeled data to ensure high quality and adherence to detailed guidelines.
Design and implement cloud-based pipelines to convert multi-sensor data into VLM/VLA training datasets. Develop VLM-assisted auto-labeling systems and curate long-tail scenarios to improve autonomous driving model performance.
Lead and grow the App Engine team to build a middleware platform for integrating deep learning models into an autonomous trucking stack. Drive technical execution in CUDA optimization and GPU resource management while partnering with cross-functional teams to ensure system reliability.
Engineering Manager - Engineering Quality Management
Torc Robotics
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Full Time
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18 days ago
Torc Robotics
Lead a team of Quality Assurance engineers to oversee quality control processes and ensure compliance with safety, cybersecurity, and regulatory standards. Drive strategic initiatives and collaborate across engineering divisions to implement practical quality management procedures for autonomous driving products.
Safety Statistician, III – Risk & Safety Analysis
Torc Robotics
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Full Time
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20 days ago
Torc Robotics
The role involves employing statistically rigorous analyses to quantify risk and evaluate the safety of autonomous driving systems. You will develop production-ready analysis workflows and communicate defensible findings to technical leaders and executives.
System Engineer II - Release Readiness & Metrics (Python)
Torc Robotics
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Full Time
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24 days ago
Torc Robotics
Support release readiness by analyzing software performance and developing Python-based tools and metrics to evaluate system health. Collaborate with cross-functional engineering teams to investigate system-level issues and perform root cause analysis for autonomous driving software.
Design and develop planning and prediction systems for autonomous trucks, including trajectory generation and decision-making algorithms. Collaborate with cross-functional teams to validate and deploy production-quality software across SiL, HiL, and ViL environments.
Machine Learning Engineer - New AI Initiatives
Torc Robotics
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Full Time
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a month ago
Torc Robotics
Lead complex data science projects to improve manufacturing processes and develop machine learning workflows from analysis to embedded deployment. Define data ingestion and governance standards while providing technical leadership and mentoring to team members.
Implement research advances in Neural Rendering and generative models to create high-quality sensor simulations for autonomous trucks. Own the full development lifecycle from research and design to deployment within a cloud-based machine learning ecosystem.
Ingénieur·e principal·e en apprentissage automatique - Rendu neuronal
Torc Robotics
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Full Time
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2 months ago
Torc Robotics
Implement state-of-the-art neural rendering and generative models to create high-quality sensor simulations for autonomous trucks. Lead the design, deployment, and scaling of these frameworks within a cloud environment to support AV 3.0 perception training.
Implement research advances in neural rendering and generative models to create high-quality sensor simulations for autonomous trucks. Own the full development lifecycle from research and design to deployment within a cloud-based machine learning ecosystem.
Develop and maintain automated test frameworks and Python-based tooling for component-level validation using Hardware-in-the-Loop (HIL) systems. Collaborate with cross-functional teams to debug hardware/software issues and improve the reliability of autonomous driving software.
Build and support scalable AWS-based data ingestion, ETL, and storage solutions to enable ML training and analytics. Create robust pipelines to process massive volumes of vehicle fleet data and maintain the integrity of the data lake.
Architect and optimize distributed data pipelines to extract safety-critical driving events from massive multi-sensor logs. Develop ML-assisted algorithms for scenario classification and manage the integration of tagged events into an observations database.
Oversee the planning, coordination, and delivery of embedded truck software and cloud application releases. Coordinate cross-functionally with Engineering, QA, and DevOps to ensure quality, compliance, and timely deployment.
Provide technical leadership across teams to drive architectural strategy and scalable system design for cloud-based applications. Lead high-impact initiatives, maintain architectural consistency, and mentor senior engineers to foster engineering excellence.
Senior Autonomy Software Systems Engineer (Python / C++ / Data)
Torc Robotics
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Full Time
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2 months ago
Torc Robotics
Build and maintain Python-based data pipelines to process large-scale autonomy datasets from cloud storage. Develop tools for scenario generation and ODD analysis to support the evaluation and improvement of autonomous vehicle systems.
Senior Machine Learning Engineer - Learned Planning/Reinforcement Learning
Torc Robotics
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Full Time
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3 months ago
Torc Robotics
You will design, develop, and deploy learned behavior models for autonomous trucks using reinforcement learning and imitation learning. This role involves owning end-to-end model development, writing production-quality code, and collaborating with cross-functional teams to improve model performance and reliability.
Senior, Software Engineer - Release Pipelines
Torc Robotics
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Full Time
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3 months ago
Torc Robotics
You will be responsible for developing build automation tooling and complex workflow pipelines to support the release of safety-critical software for autonomous vehicles. This includes integrating requirements systems, hardware testing platforms, and ensuring reproducible release outputs.
Staff Systems Engineer – Release Strategy & Validation
Torc Robotics
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Full Time
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4 months ago
Torc Robotics
This role provides strategic leadership to implement, monitor, and qualify the testing and release workflow for scalable Level 4 autonomous truck software, ensuring safe and successful product delivery across engineering divisions. The engineer will define strategic approaches for verification and validation lifecycles, covering multiple test levels and environments like HIL and simulation, while reporting critical gaps to leadership.
Ingénieur(e) principal (e) en apprentissage automatique - Cadres des opérations d’AA
Torc Robotics
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5 months ago
Torc Robotics
The role involves designing, maintaining, and improving Torc's ML frameworks, including cloud tools, data operations, ML refinement pipelines, and logging/experiment tracking systems. Key tasks include designing organization-scale systems for ML operations and driving technical requirements for the AV 3.0 SDK adoption.
The role involves building, maintaining, and improving Torc's ML frameworks, focusing on cloud tooling, data operations, and the ML development pipeline. This includes designing organization-wide ML Ops systems and driving technical requirements for internal stakeholders.
