Note: The job is a remote job and is open to candidates in USA. Torc Robotics is a leader in autonomous driving technology focused on developing software for automated trucks. They are seeking a technically strong and people-focused Engineering Manager to lead the App Engine team, responsible for building production-grade middleware and integrating deep learning models into their autonomy stack.
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
Skills
- 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 with 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
- Hands-on leadership style — comfortable diving into technical discussions and design reviews
- Experience building or managing application/middleware frameworks for production AV or ADAS systems
- Familiarity with ISO 26262, ASPICE, or other regulated safety standards
- Background in distributed systems, high-performance computing, or large-scale data recording pipelines
Benefits
- A competitive compensation package that includes a bonus component and stock options
- 100% paid medical, dental, and vision premiums for full-time employees
- 401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures
- AD+D and Life Insurance
Company Overview
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