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Computer Vision Engineer Jobs in Austin, TX (NOW HIRING)

Machine Learning Engineer L-1

Austin, TX · On-site

$80K - $93K/yr

* Develop high-quality, maintainable code to build and deploy computer vision modules and machine learning models as part of an AI pipeline * Works with data and software engineering team to integrate ...

* Develop high-quality, maintainable code to build and deploy computer vision modules and machine learning models as part of an AI pipeline * Works with data and software engineering team to integrate ...

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

We are developing an autonomous gun turret using advanced computer vision and control systems to precisely detect, track, and neutralize enemy drones. With an engineering-first culture, ACS values ...

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

We are developing an autonomous gun turret using advanced computer vision and control systems to precisely detect, track, and neutralize enemy drones. With an engineering-first culture, ACS values ...

... computer vision technology. They are seeking a highly skilled robotics software engineer proficient ... in C++ or Python to design, develop, and maintain high-performance software applications ...

... computer vision and control systems. They are seeking a highly skilled robotics software engineer ... proficient in C++ or Python to design, develop, and maintain high-performance software applications.

Engineering / R&D Employment Type: Full-time Reports To: Director of Robotics or Engineering ... computer vision, and sensor fusion techniques. * Integrate sensors (LiDAR, cameras, IMUs, force ...

We are developing an autonomous gun turret using advanced computer vision and control systems to precisely detect, track, and neutralize enemy drones. With an engineering-first culture, ACS values ...

We are developing a small, autonomous gun turret that employs advanced computer vision and control ... With an engineering-first culture, ACS values technical excellence and innovation. Backed by our ...

We are developing a small, autonomous gun turret that employs advanced computer vision and control ... With an engineering-first culture, ACS values technical excellence and innovation. Backed by our ...

... 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 systems to precisely target and ...

We are developing an autonomous gun turret using advanced computer vision and control systems to precisely detect, track, and neutralize enemy drones. With an engineering-first culture, ACS values ...

... 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 systems to precisely target and ...

... 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 systems to precisely target and ...

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Computer Vision Engineer information

See Austin, TX salary details

$48.1K

$120.4K

$136.3K

How much do computer vision engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for 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 do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

What engineers make $300,000 a year?

Senior computer vision engineers, especially those with advanced skills in deep learning, machine learning, and experience with tools like TensorFlow or PyTorch, can earn $300,000 or more annually in high-demand industries such as technology, autonomous vehicles, or AI research. Compensation often depends on experience, location, and company size, with some roles in Silicon Valley or major tech firms reaching this level through base salary, bonuses, and stock options.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

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

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and 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, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the key skills and qualifications needed to thrive as a Computer Vision Engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What engineer makes $500,000 a year?

A senior computer vision engineer at top tech companies or in specialized industries can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and years of experience. Compensation varies based on location, company size, and individual expertise.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers are essential for developing, training, and maintaining AI models and systems. Their expertise in algorithms, programming, and domain knowledge ensures the effective application of AI in real-world scenarios, making complete replacement unlikely in the near term.
What are the most commonly searched types of Computer Vision Engineer jobs in Austin, TX? The most popular types of Computer Vision Engineer jobs in Austin, TX are:
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What cities near Austin, TX are hiring for Computer Vision Engineer jobs? Cities near Austin, TX with the most Computer Vision Engineer job openings:

Machine Learning Engineer L-1

Lauretta AI LLC

Austin, TX • On-site

$80K - $93K/yr

Full-time

Re-posted 18 days ago


Job description


  • Develop high-quality, maintainable code to build and deploy computer vision modules and machine learning models as part of an AI pipeline
  • Works with data and software engineering team to integrate models into pipeline
  • Support construction and iteration of product prototypes
  • Support data pipeline engineering and automation
  • Stay up to date with state of the art developments in computer vision tasks
  • Other duties as required by supervisors
Additional Requirements:
  • Due to government contract requirements, applicants are able to get clearance are preferred
  • Experience working in MLOps and building pipelines for deploying ML models
  • Programming skills in Python, C/C++ or Javascript
  • Understanding of machine learning and deep learning fundamentals
  • Develop internal tooling as needed to support ML efforts
  • Production deployment and performance monitoring including code refactoring and optimization as needed
  • Support infrastructure engineering, security engineering, and architecture
  • Willing to learn and work well in a cross functional team environment
  • Fresh graduates are welcome to apply on a full-time basis