Manager, Engineering - App Engine (CUDA)
New
T
Torc RoboticsAutonomous Vehicles
Remote in the United StatesFull-TimeManager
Salary$160,800 — $193,000 USD
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Job Details
- Experience
- 3+ years of full-cycle people management experience
- Required Skills
- PyTorchC++Linux
Requirements
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Robotics, or a related technical field.
- 3+ years of full-cycle people management experience.
- Deep technical expertise with CUDA, GPU parallel computing, and inference optimization.
- Strong proficiency in C++ and Linux-based development.
- Knowledge of real-time systems.
- Experience with ML frameworks (PyTorch, TensorRT, ONNX) and model deployment pipelines.
- Proven leadership managing software engineering teams in complex, cross-functional environments.
- Strong understanding of system-level integration and safety-critical requirements.
- Ability to thrive in a fast-paced, dynamic, and highly collaborative environment.
Responsibilities
- Lead and grow a team building the application framework that integrates deep learning models into Torc’s autonomy stack.
- Drive technical execution across key focus areas: CUDA optimization, GPU resource management, model conversion pipelines (PyTorch, TensorRT, ONNX), and real-time system integration.
- Ensure reliability, determinism, and scalability across multi-sensor autonomous driving workloads.
- Partner with cross-functional teams (Perception, Planning, Systems, Validation, Hardware, Safety) to align technical direction and integration priorities.
- Mentor, coach, and develop engineers while cultivating a collaborative, high-trust team culture.
- Manage execution and delivery, balancing near-term goals with long-term architectural vision.
- Establish scalable processes for development, testing, and integration in a safety-critical environment.
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