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Computer Vision Software Engineer Jobs in Texas (NOW HIRING)

... software and autonomy stacks; apply GPU/CUDA programming for accelerated processing where required ... deploying computer vision systems (3+ years with an MS, or 2+ years with a PhD) • Strong ...

Computer Vision Engineer - UAS

San Antonio, TX · On-site

$100K - $118K/yr

We are seeking a Computer Vision Engineer (CVE) to develop the Blackfoot's perception and visual ... Collaborate with autonomy, flight software, and hardware teams to define camera, sensor, and ...

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Embedded Software Engineer

Austin, TX · On-site

$130K - $171K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... engineers with a proven track record in robotics and software ... We are developing a small, autonomous gun turret that employs advanced computer vision and control ...

Software Engineer - All Levels

Austin, TX · On-site

$110 - $170/hr

  • Medical

  • Dental

  • Vision

  • PTO

Software Engineer Company Overview Allen Control Systems (ACS) is a cutting‑edge defense startup ... We are developing an autonomous gun turret using advanced computer vision and control systems to ...

Software Engineer - All Levels

Austin, TX · On-site

$94K - $332K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Software Engineer Company Overview: Allen Control Systems (ACS) is a cutting-edge defense startup ... We are developing an autonomous gun turret using advanced computer vision and control systems to ...

Software Engineer - All Levels

Austin, TX · On-site

$94K - $332K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Software Engineer Company Overview: Allen Control Systems (ACS) is a cutting-edge defense startup ... We are developing an autonomous gun turret using advanced computer vision and control systems to ...

Software Engineer

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • PTO

Software Engineer Company Overview: Allen Control Systems (ACS) is a cutting-edge defense startup ... We are developing a small, autonomous gun turret that employs advanced computer vision and control ...

Software Engineer

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • PTO

Software Engineer Company Overview: Allen Control Systems (ACS) is a cutting-edge defense startup ... We are developing a small, autonomous gun turret that employs advanced computer vision and control ...

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Showing results 1-20

Computer Vision Software Engineer information

See Texas salary details

$59.2K

$137.4K

$191.5K

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

As of Aug 20, 2026, the average yearly pay for computer vision software engineer in Texas is $137,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $161,200.00 per year, depending on experience, location, and employer.

What is a computer vision software engineer?

Computer Vision Software Engineers are professionals who design, develop, and implement software solutions that enable computers to interpret and process visual information from the world, such as images and videos. They use techniques from machine learning, artificial intelligence, and image processing to build applications like facial recognition, object detection, and autonomous vehicles. Their work often involves programming, working with large datasets, and optimizing algorithms for accuracy and speed. These engineers are crucial in industries ranging from healthcare and automotive to security and entertainment.

What are the key skills and qualifications needed to thrive as a computer vision software engineer?

To thrive as a Computer Vision Software Engineer, you need strong programming skills (particularly in Python or C++), a solid background in mathematics and algorithms, and a degree in computer science or a related field. Experience with deep learning frameworks (such as TensorFlow or PyTorch), OpenCV, and familiarity with computer vision libraries and cloud platforms is highly valuable. Creative problem-solving, attention to detail, and effective teamwork are standout soft skills in this role. These skills and qualities are crucial for developing, optimizing, and deploying innovative computer vision solutions that address real-world challenges.

What are some common challenges computer vision software engineers face when deploying models to production environments?

One frequent challenge for Computer Vision Software Engineers is optimizing models to run efficiently in production, especially on devices with limited processing power or memory. Additionally, ensuring that models remain robust when exposed to real-world data—which may differ significantly from training data—requires ongoing monitoring and potential retraining. Collaboration with data engineers and DevOps teams is often essential to streamline deployment pipelines and address issues like data drift or latency. Staying updated with rapidly evolving frameworks and hardware accelerators is also key for success in this role.

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

AspectComputer Vision Software EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, often in tech, automotive, or healthcare industriesBuilds models for various data types, including images, text, and tabular data, across multiple industries
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, startups, research institutions

While both roles involve machine learning concepts, Computer Vision Software Engineers focus specifically on image and video data, developing algorithms for visual understanding. Machine Learning Engineers have a broader scope, working on various data types and models. The roles often overlap but differ mainly in their specialization and application areas.

How much do computer vision software engineers make?

Computer vision software engineers typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning and image processing can earn higher salaries, often exceeding $150,000.

What are popular job titles related to Computer Vision Software Engineer jobs in Texas?

For Computer Vision Software Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Computer Vision Software Engineer jobs in Texas look for?

The top searched job categories for Computer Vision Software Engineer jobs in Texas are:

Infographic showing various Computer Vision Software Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $137,441 per year, or $66.1 per hour.

$101K - $119K/yr

Full-time

Re-posted 2 days ago


Job description

  • MS/PhD in computer science, or related technical disciplines.
  • 6+ years hands-on development experience in deep learning/machine learning/data science with expertise in computer vision.
  • Proficient in Python programming language.
  • Solid knowledge of machine learning frameworks and tools - PyTorch, OpenVino, TensorRT, OpenCV, NumPy etc.
  • Solid knowledge of developing convolution neural networks from scratch.
  • Experience with object detection, segmentation, classification and object tracking.
  • Experience with handling and manipulating large datasets.
  • Experience with developing automated machine learning pipelines.
  • Solid experience in building scalable, high performance software systems.
  • Proven ability to translate high-level product requirements into technical solutions.
  • Enthusiasm to work in a vibrant, collaborative and fast-paced engineering team.

Resource should be working in the office, Work from home is not supported.