Manager, Engineering – App Engine, CUDA
Job in
Springfield, Greene County, Missouri, 65897, USA
Listed on 2026-07-11
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-11
Job specializations:
-
Software Development
Embedded Systems/ Firmware/ IoT, Unix/Linux, Software Architect
Job Description & How to Apply Below
- 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.
- 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.
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