Sr. Computer Vision Engineer

Darbytek; Town of Texas (WI); On-site; USD 150,000 - 230,000; Full time

Job summary

Darbytek is seeking a highly experienced Senior Computer Vision Engineer in Austin, TX, to lead real-time CV initiatives for advanced robotic systems. You will own end-to-end CV development, integrate ML models with hardware, and collaborate closely with engineering teams.

This role emphasizes mentorship, robust testing, and delivering aerospace-like reliability in a startup environment, with equity opportunities and a fast-growing team.

Qualifications

• Master's degree in CS, EE, or related field with ML/vision focus.
• 9+ years of ML-based CV experience, preferably in robotics.
• Proven track record deploying CV systems in real-time or safety-critical apps.
• Proficient in Python and C++, with TF/PyTorch experience.
• Experience with embedded systems and HW integration.
• Familiar with sensors (cameras, LiDAR, RADAR) and autonomous systems.
• Strong mentoring and collaboration skills.

Responsibilities

• Lead development and optimization of CV algorithms for autonomous turret with real-time drone detection, tracking and classification.
• Design and implement ML models for resource-constrained environments with high accuracy.
• Collaborate with electrical engineers to integrate CV into turret hardware.
• Conduct extensive testing and validation under various scenarios for robustness.
• Mentor junior engineers and grow ML/vision expertise.
• Contribute to hardening the prototype turret into a military-grade system and variants.

Skills

Machine learning

Computer vision

Robotics

Python

C++

TensorFlow

PyTorch

Embedded systems

Sensor integration

Mentoring

Education

Master's degree in Computer Science

Tools

TensorFlow

PyTorch

Job description

Job Description

We are seeking a Full-time Sr Level Computer Vision Engineer to help provide expertise to our team here in Austin TX. Candidates must be local or willing to relocate. Very lucrative opportunity to join a fast-growing start-up with equity ownership.

What You'll Do:

• Lead the development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.
• Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.
• Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.
• Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.
• Mentor junior engineers and contribute to the overall growth of the machine learning and computer vision expertise within the company.
• Contribute to the hardening of the prototype turret into a military-grade system and assist in developing variants for different weapon systems and engagement ranges.

What You'll Need:

• Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.
• At least a master's degree in computer science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
• 9+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics.
• A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.
• Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Experience with embedded systems and integrating computer vision algorithms into hardware.
• Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.
• You enjoy mentoring and collaborating with other engineers to solve complex technical challenges.