1

Contractual Computer Vision Engineer Jobs in Austin, TX

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

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 ...

Senior Computer Vision Engineer

Austin, TX · On-site

$103K - $142K/yr

You will develop computer vision systems for autonomous landing, targetless landing zone evaluation ... Mentor junior perception engineers and raise the quality bar for how perception systems are ...

Senior Computer Vision Engineer

Austin, TX

$103K - $142K/yr

You will develop computer vision systems for autonomous landing, targetless landing zone evaluation ... Mentor junior perception engineers and raise the quality bar for how perception systems are ...

Senior Computer Vision Engineer

Austin, TX · On-site

$103K - $142K/yr

You will develop computer vision systems for autonomous landing, targetless landing zone evaluation ... Mentor junior perception engineers and raise the quality bar for how perception systems are ...

The role involves developing computer vision systems for autonomous landing and navigation ... engineering environments • Strong communication and collaboration skills Preferred : • ...

next page

Showing results 1-20

Contractual Computer Vision Engineer information

See Austin, TX salary details

$48.1K

$120.4K

$136.3K

How much do contractual computer vision engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for contractual computer vision engineer in Austin, TX is $120,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $130,300.00 per year, depending on experience, location, and employer.

What is the difference between Contractual Computer Vision Engineer vs Contractual Machine Learning Engineer?

AspectContractual Computer Vision EngineerContractual Machine Learning Engineer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related field; experience in computer vision frameworksBachelor's or Master's in Computer Science, Data Science, or related; strong programming and ML knowledge
Work EnvironmentProject-based, often in tech, automotive, or healthcare industriesSimilar industries, focusing on developing ML models across various applications
Employer & Industry UsageTech companies, research labs, startups focusing on image/video analysisTech firms, startups, research institutions applying ML across domains

Contractual Computer Vision Engineers specialize in developing algorithms for image and video analysis, while Contractual Machine Learning Engineers focus on building broader ML models. Both roles often share similar credentials and work environments, but their core focus areas differ, with computer vision emphasizing visual data processing.

What are popular job titles related to Contractual Computer Vision Engineer jobs in Austin, TX? For Contractual Computer Vision Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Contractual Computer Vision Engineer jobs in Austin, TX look for? The top searched job categories for Contractual Computer Vision Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Contractual Computer Vision Engineer jobs? Cities near Austin, TX with the most Contractual Computer Vision Engineer job openings:
Sr. Computer Vision Engineer

Sr. Computer Vision Engineer

Darbytek

Austin, TX • On-site

$180K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


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.

Company Description

At Darbytek, our goal is to build a better future for people and business. We specialize in recruiting skilled individuals for both full-time direct hires and contract positions. Allow us to help you with your next opportunity.