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Computer Vision Scientist Jobs in Texas (NOW HIRING)

Toyota

Principal Data Scientist

Plano, TX · On-site

Who we're looking for Toyota's OneTech Data Science and Machine Learning Department is looking for ... Design and develop scalable machine learning, deep learning, computer vision, optimization, and ...

Waabi

Research Scientist, Learnable Planner

Dallas, TX · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be ...

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Computer Vision Scientist information

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$47K

$103.7K

$128.1K

How much do computer vision scientist jobs pay per year?

As of Jul 14, 2026, the average yearly pay for computer vision scientist in Texas is $103,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $127,600.00 per year, depending on experience, location, and employer.

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

AspectComputer Vision ScientistMachine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fieldsBachelor's or Master's in Computer Science, Software Engineering, or related fields
Work EnvironmentResearch labs, R&D departments, academiaProduct teams, software development environments
Industry UsageDeveloping algorithms for image/video analysis, object detectionBuilding scalable ML models for various applications including vision

While both roles involve machine learning, Computer Vision Scientists focus on developing algorithms specifically for visual data, whereas Machine Learning Engineers implement and deploy these models in real-world applications. The roles often overlap but differ mainly in their primary focus and work environment.

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

A Computer Vision Scientist needs a strong background in mathematics, machine learning, and image processing, often supported by a graduate degree in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and experience with libraries like OpenCV are typically required. Creative problem-solving, critical thinking, and effective communication help distinguish top performers in this role. These skills are essential for developing innovative computer vision solutions that can be effectively integrated into real-world applications.

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

Computer Vision Scientists often encounter challenges such as ensuring model robustness under varying real-world conditions, optimizing inference speed for deployment on resource-constrained devices, and managing large-scale data for continuous model improvement. Collaboration with engineering teams is crucial to integrate models efficiently into existing software pipelines and to address issues like latency and scalability. Additionally, maintaining high accuracy while minimizing false positives and negatives in live environments requires ongoing monitoring and iterative improvement.

What are Computer Vision Scientists?

Computer Vision Scientists are professionals who develop algorithms and models that allow computers to interpret and understand visual information from the world, such as images and videos. They use techniques from machine learning, artificial intelligence, and image processing to solve problems like object detection, facial recognition, and scene understanding. Their work is essential in fields such as autonomous vehicles, healthcare imaging, robotics, and augmented reality. Computer Vision Scientists often collaborate with engineers and domain experts to create practical applications and improve existing technologies.
What are popular job titles related to Computer Vision Scientist jobs in Texas? For Computer Vision Scientist jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Computer Vision Scientist jobs in Texas look for? The top searched job categories for Computer Vision Scientist jobs in Texas are:
What cities in Texas are hiring for Computer Vision Scientist jobs? Cities in Texas with the most Computer Vision Scientist job openings:
Computer Vision Scientist jobs near you
Sr. Imaging & Computer Vision Architect

Sr. Imaging & Computer Vision Architect

Ambiq Micro, Inc.

Austin, TX

Other

Posted 27 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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