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

Allen Control Systems

Chief CV/ML Engineer

Austin, TX · On-site

$250K - $350K/yr

Chief Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems Company Overview: Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy ...

Allen Control Systems

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

They are seeking a Data Platform Engineer with expertise in data infrastructure and AI & Machine Learning principles to optimize datasets and build data pipelines for computer vision models.

Allen Control Systems

Chief CV/ML Engineer

Austin, TX · On-site

$180 - $260/hr

Chief Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems Company Overview: Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy ...

Socket.dev

Chief CV/ML Engineer

Austin, TX · On-site

$180 - $230/hr

Chief Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems Company Overview: Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy ...

Allen Control Systems

Chief CV/ML Engineer

Austin, TX · On-site

$250K - $350K/yr

Chief Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems Company Overview: Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy ...

webAI Inc

Staff R&D AI Engineer

Austin, TX · On-site

Build and optimize computer vision pipelines for perception tasks, including object detection ... Collaborate with engineering teams to integrate AI models into applications and validate ...

Lauretta AI LLC

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 ...

Lauretta AI LLC

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 ...

Lauretta AI LLC

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 ...

Allen Control Systems

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

... computer vision models. • Design and own end-to-end image and video pipelines for computer vision model training: multi-source ingestion, QA and visualization, standardization, and organization ...

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Showing results 41-60

All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Austin, TX

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 Aug 22, 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 is a computer vision engineer?

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 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 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 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.

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.

More about Computer Vision Engineer jobs

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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For Computer Vision Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Computer Vision Engineer jobs in Austin, TX look for?

The top searched job categories for Computer Vision Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Computer Vision Engineer jobs?

Cities near Austin, TX with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $120,447 per year, or $57.9 per hour.

Sr. Imaging & Computer Vision Architect

Ambiq Micro, Inc.

Austin, TX • On-site

Full-time

Re-posted 5 days ago

Job description

We're seeking a Senior Imaging & Computer Vision Architect to help define the future of camera, imaging, video, and AI capabilities across Ambiq's next-generation SoC platforms.

What You'll Do

As a key member of our architecture team, you'll drive the definition and development of advanced imaging and computer vision architectures optimized for ultra-low-power operation. You'll work across hardware, software, AI, applications, and product teams to transform concepts into market-leading solutions.

Responsibilities include:

  • Define imaging, ISP, video, and computer vision architectures for future Ambiq products

  • Develop architecture specifications, power/performance models, system flows, and use-case definitions

  • Drive camera image quality and imaging pipeline strategy

  • Evaluate and integrate external and internal imaging, video, and AI IP

  • Partner with software teams to define APIs, hardware abstraction layers, and imaging frameworks

  • Collaborate with FPGA, design, verification, and physical design teams through implementation

  • Support customer engagements to understand requirements and align product capabilities with market needs

  • Contribute to product roadmaps and next-generation imaging technology strategy

What We're Looking For

  • BS in Electrical Engineering, Computer Engineering, Computer Science, or related field

  • 8+ years of imaging, ISP, video, computer vision, AI accelerator, or related architecture experience

  • Proven experience creating architecture specifications for complex SoCs or hardware platforms

  • Expertise in one or more of the following:

    • Image Signal Processing (ISP)

    • Camera Systems

    • Computer Vision

    • Video Encode/Decode

    • Neural Network Acceleration

    • Embedded AI

  • Experience delivering products from concept through silicon validation

  • Strong understanding of low-power mobile, wearable, or IoT systems

  • Excellent communication and cross-functional collaboration skills

Preferred:

  • MS or PhD

  • Advanced process node experience

  • Team leadership or technical leadership experience

Why Ambiq?

At Ambiq, you'll help create the world's most power-efficient semiconductor solutions, enabling a future where AI is everywhere. You'll work alongside exceptional engineers solving some of the industry's most challenging architecture problems while influencing products that reach millions of users worldwide.

Please note: Candidates must be authorized to work in the United States without current or future sponsorship requirements. This position is based in Austin, Texas and requires onsite attendance five days per week.

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