Director, CV/ML Engineering for Real-Time Autonomy

Green Key Resources; Austin (TX); On-site; USD 190,000 - 230,000; Full time

Job summary

Green Key Resources seeks a Computer Vision/Machine Learning Engineering Manager to lead a real-time CV/ML stack for autonomous systems. You will be hands-on initially, growing into a player-coach role while partnering with senior leadership to shape the CV/ML roadmap and delivery.

You will own technical direction, manage and grow the team, and collaborate with hardware to deliver a field-ready platform in a fast-moving, engineering-driven environment.

Qualifications

• 15+ years of experience with ML-based CV and traditional image/signal processing, preferably in robotics/autonomous systems.
• Bachelor's degree in Computer Science, Electrical Engineering, or related field with ML/CV emphasis.
• Experience leading CV/ML engineers, with growth mindset toward broader management.
• Experience owning a technical roadmap for perception/autonomy products.
• Proficiency in Python and C++, with ML frameworks such as TensorFlow or PyTorch.
• Experience with sensors (cameras, LiDAR, RADAR) and embedded systems is strongly preferred.

Responsibilities

• Lead and grow a CV/ML team across levels, shaping careers and capabilities.
• Partner with senior leadership to define and execute CV/ML roadmaps.
• Translate product goals into quarterly team plans and staffing decisions.
• Contribute to real-time CV/ML algorithm development for detection, tracking and classification.
• Own delivery commitments for the CV/ML stack and coordinate with EE/Hardware teams.
• Drive quality via design reviews, testing, and validation across diverse environments.

Skills

Python

C++

Machine learning

Computer vision

Real-time processing

Robotics

Education

Bachelor's degree in Computer Science or Electrical Engineering

PhD in CV/ML or related field

Tools

TensorFlow

PyTorch

Embedded systems

Edge hardware (NVIDIA Jetson)

Job description

Green Key Resources seeks a Computer Vision/Machine Learning Engineering Manager to lead a real-time CV/ML stack for autonomous systems. You will be hands-on initially, growing into a player-coach role while partnering with senior leadership to shape the CV/ML roadmap and delivery.

You will own technical direction, manage and grow the team, and collaborate with hardware to deliver a field-ready platform in a fast-moving, engineering-driven environment.