Autonomy AI Systems Engineering Manager

Jobtailor; Missouri; On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor seeks a seasoned leader to head the team building the application framework that ties deep learning models into its autonomy stack. You will steer CUDA optimization, GPU resource management, and model deployment pipelines while ensuring real‑time performance and reliability.

You will collaborate with Perception, Planning, Systems, Validation, Hardware, and Safety to align technical direction and drive scalable processes in a safety‑critical context.

Qualifications

• 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.

Responsibilities

• Lead and grow a team building the application framework that integrates deep learning models into Torc’s autonomy stack.
• Drive technical execution across CUDA optimization, GPU resource management, model conversion pipelines, and real‑time system integration.
• Ensure reliability, determinism, and scalability across multi‑sensor autonomous driving workloads.
• Partner with cross‑functional teams 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

CUDA optimization

GPU parallel computing

inference optimization

C++

Linux

PyTorch

TensorRT

ONNX

real‑time systems

leadership

team management

cross‑functional collaboration

safety‑critical requirements

Education

Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Robotics, or a related technical field

Job description

Jobtailor seeks a seasoned leader to head the team building the application framework that ties deep learning models into its autonomy stack. You will steer CUDA optimization, GPU resource management, and model deployment pipelines while ensuring real‑time performance and reliability.

You will collaborate with Perception, Planning, Systems, Validation, Hardware, and Safety to align technical direction and drive scalable processes in a safety‑critical context.