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Lead and grow an App Engine team building production middleware for Level 4 autonomous trucks. Drive CUDA/GPU optimization, GPU resource management, model conversion (PyTorch, TensorRT, ONNX), real-time integration, and cross-functional alignment. Mentor engineers, manage delivery, and establish scalable, safety-compliant development and testing processes.

Support integration of hardware, embedded systems, and autonomy software by building and maintaining HIL and validation environments, performing bring-up, integration testing, troubleshooting, automation scripting, and log analysis to improve reliability and deployment workflows.

Lead a team of Quality Assurance engineers to maintain and improve Torc's QMS for autonomous driving products. Drive audits, root-cause analysis, configuration management, and cross-functional collaboration to ensure compliance with safety, cybersecurity, and regulatory standards. Hire, develop, and manage team members while sponsoring quality initiatives and delivering release artifacts and traceability.

Serve as a strategic HR partner to leaders, advising on talent management, performance, org design, employee relations, investigations, succession planning, compensation, change management, and HR analytics to align people strategies with business goals.

Develop, test, and deploy production localization and ego-motion software for autonomous trucks using modern C++ and Python. Implement and validate state estimation and sensor fusion algorithms, analyze vehicle data, and collaborate with cross-functional teams to integrate perception, planning, and control components for reliable real-world performance.

Design and execute statistically rigorous analyses to quantify and inform safety and risk for autonomous driving systems. Apply Bayesian and frequentist methods (and ML where appropriate) to large, noisy or rare-event datasets, produce production-ready monitoring workflows, and communicate findings to engineers, safety stakeholders, and executives to support risk-based decision making.

This role involves writing software for sensor integration, debugging system issues, optimizing performance in embedded systems, and collaborating with cross-functional teams.

As a Senior SOTIF Engineer, you'll evaluate and enhance safety in autonomous trucking by leading SOTIF evaluations, guiding engineers, conducting risk assessments, and collaborating across teams to ensure safety standards are met.

The Functional Safety Systems Engineer will analyze, assess, and establish a functional safety case for autonomous trucks, collaborating across teams on software and hardware development.

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