Real-Time Computer Vision & Tracking Engineer for Robotics

Allen Control Systems; Austin (TX); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Health, Dental, Vision Insurance

Paid Time Off

Job summary

Allen Control Systems in Austin, Texas is looking for a Computer Vision / Machine Learning Engineer (Tracking Specialist) to join their CV/ML team. The ideal candidate will develop real-time perception algorithms for robotics and autonomous systems, focusing on object detection and tracking. Preferred skills include experience with various tracking algorithms and integrating sensors into systems. The role offers competitive salary and benefits including health insurance and paid time off.

Qualifications

• 2–5+ years of experience in CV/ML engineering with a focus on tracking.
• Strong background in computer vision algorithms for real-time applications.
• Experience with classical and deep learning-based tracking algorithms.

Responsibilities

• Develop and optimize algorithms for real-time detection and tracking of objects.
• Implement object detection and tracking pipelines using modern techniques.
• Collaborate with teams to integrate perception systems into autonomous platforms.

Skills

Computer vision algorithms development

Real-time applications

Machine learning frameworks

Object detection algorithms

Python programming

C++ programming

Education

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field

Tools

PyTorch

TensorFlow

Job description

Allen Control Systems in Austin, Texas is looking for a Computer Vision / Machine Learning Engineer (Tracking Specialist) to join their CV/ML team. The ideal candidate will develop real-time perception algorithms for robotics and autonomous systems, focusing on object detection and tracking. Preferred skills include experience with various tracking algorithms and integrating sensors into systems. The role offers competitive salary and benefits including health insurance and paid time off.