Lead the Hardware Acceleration team, optimizing ML inference on embedded hardware, and guiding a high-performing engineering team through effective leadership and technical expertise.

Design and optimize ML models for localization in autonomous trucks using sensor fusion and map-based techniques. Collaborate with teams to enhance model robustness and integrate into the autonomy stack.

Serve as the frontline representative for Torc’s autonomous trucking operations in Texas, building relationships with government, community, academic, and public safety stakeholders, coordinating outreach events and demos, conducting policy research and legislative tracking, and working cross-functionally to align messaging and outreach initiatives.

Develop and optimize unimodal and multimodal perception models for 3D/BEV terrain and surface inference, build large-scale data pipelines and annotation tools, deploy and optimize models on edge compute, collaborate with robotics/software/hardware teams, mentor juniors, and translate research into production-grade autonomous vehicle perception systems.

As a Staff Learned Behaviors ML Engineer, you will lead the development of reinforcement learning behavior models for autonomous trucks, define data strategies, mentor other engineers, and drive best practices in model development.

Lead the development of BEV models for perception, integrate multi-modal sensor data, and drive model innovation while mentoring engineers.

Lead the design and deployment of E2E ML architectures for autonomous driving, focusing on datasets and system intelligence improvements. Mentor teams and establish evaluation frameworks.

You will implement Neural Rendering and generative models for autonomous driving, manage projects, and mentor team members in a cloud-based setting.

As a Data Annotator, you will label objects in 2D and 3D environments, review pre-labeled data, and ensure quality annotation for AI systems in autonomous trucks.

As a Data Annotator, you will label data from sensors like images and LiDAR to train AI systems for autonomous trucks, ensuring high-quality data for safe technology development.

As a Staff Safety Data Scientist, you'll conduct rigorous statistical analyses to inform safety strategies for autonomous vehicle systems, translating complex data into actionable insights for engineering teams and stakeholders.

As a Senior ML Engineer at Torc, you will develop and maintain ML frameworks, enabling advanced solutions for autonomous vehicles and improving ML platforms.

Design and deploy object detection and tracking modules; develop ML algorithms; guide team members; improve data governance and quality assessment.

The Senior Director of Product Cybersecurity leads cybersecurity for product lines, manages a team, ensures compliance with standards, and oversees cybersecurity strategies.

Manage and lead a team of technical writers, ensuring quality and compliance in documentation while tracking milestones and standardization efforts.

Lead the Hardware Acceleration team in developing ML inference pipelines, optimizing models for embedded systems, and managing a high-performing engineering team.

Lead the Hardware Acceleration team to develop and optimize inference pipelines, manage a high-performance engineering team, and ensure integration with Torc's autonomy platform.

The Software Engineer, II will optimize ML models on GPU platforms, contribute to resource management, and collaborate with feature teams for vehicle integration.

Design, build, and optimize ML models for localization in autonomous vehicles, collaborating with teams to ensure robust performance and stability.

The Principal Engineer in AA will develop machine learning components for autonomous vehicles to enhance localization accuracy using sensor fusion and mapping techniques.