ZipRecruiter

Log In

1

Computer Vision Developer Jobs in Texas (NOW HIRING)

Allen Control Systems

Technical Recruiter

Austin, TX · On-site

... 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 ...

Allen Control Systems

Technical Recruiter

Austin, TX

... 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 ...

Allen Control Systems

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

They are seeking a Data Platform Engineer who will design and implement data infrastructure and optimization strategies to enhance model training for computer vision projects. Responsibilities : • ...

Allen Control Systems

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

Allen Control Systems (ACS) is a cutting-edge defense startup developing an autonomous gun turret using advanced computer vision and control systems. They are seeking a Data Platform Engineer to ...

Cymertek

AI/ML Engineer

San Antonio, TX · On-site

AI/ML Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this position ... Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to ...

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 ...

next page

Showing results 1-20

All JobsComputer Vision Developer JobsComputer Vision Developer Jobs in Texas

Computer Vision Developer information

See Texas salary details

$15

$49

$76

How much do computer vision developer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for computer vision developer in Texas is $49.23, according to ZipRecruiter salary data. Most workers in this role earn between $37.64 and $60.24 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Computer Vision Developers are likely to continue in demand as AI advances because their work involves designing and improving algorithms that interpret visual data, a complex task difficult to fully automate. Roles requiring specialized knowledge, creativity, and problem-solving, such as AI researchers and data scientists, are also expected to persist. Skills in programming, machine learning, and domain expertise will remain valuable in these fields.

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

To excel as a Computer Vision Developer, you need a solid background in computer science, linear algebra, and experience with machine learning frameworks, often supported by a relevant degree or certifications. Familiarity with programming languages like Python or C++, and tools such as OpenCV, TensorFlow, or PyTorch, is typically required. Strong analytical thinking, problem-solving abilities, and effective teamwork skills help you innovate and deliver robust solutions. These competencies are crucial for developing, optimizing, and deploying advanced visual recognition systems that meet real-world application needs.

What tech jobs pay $400,000 a year?

In the field of computer vision development, senior roles such as Lead AI Engineer or Machine Learning Director can reach or exceed $400,000 annually, especially in large tech companies or specialized industries. These positions typically require advanced skills in deep learning, experience with frameworks like TensorFlow or PyTorch, and often involve leadership responsibilities and high-level expertise. Compensation varies based on company size, location, and individual experience.

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

AspectComputer Vision DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, specialized in computer vision or image processingBachelor's or Master's in CS, data science, or related fields with ML focus
Work EnvironmentDevelops algorithms for image/video analysis, often in tech, automotive, or healthcare industriesBuilds models for various data types, including images, text, and structured data across industries
Employer & Industry UsageTech companies, robotics, automotive, healthcareTech firms, startups, finance, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Developers specialize in image and video analysis, whereas Machine Learning Engineers work on broader data modeling across multiple data types. The roles often overlap but differ in focus and application areas.

What are some common challenges faced by Computer Vision Developers in deploying models to production environments?

Computer Vision Developers often encounter challenges such as optimizing models for real-time performance, handling diverse and noisy data from real-world sources, and ensuring models are robust across various hardware platforms. Integrating computer vision solutions into existing systems may require close collaboration with DevOps and backend engineers to address issues like latency, scalability, and security. Staying updated with rapidly evolving frameworks and hardware accelerators is also essential to maintain high-quality deployments.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications such as autonomous vehicles, facial recognition, and medical imaging. As a computer vision developer, staying current with machine learning frameworks like TensorFlow or PyTorch and understanding deep learning techniques is essential for success in the field.

What is a Computer Vision Developer?

A Computer Vision Developer is a software engineer who specializes in creating applications and systems that can interpret and process visual information from the world, such as images or videos. They use techniques from artificial intelligence and machine learning to enable computers to identify objects, track movements, and understand scenes. Their work powers technologies such as facial recognition, autonomous vehicles, and augmented reality. Typically, they have expertise in programming languages like Python or C++, and are familiar with frameworks such as OpenCV or TensorFlow.

What engineers make $500,000?

Senior computer vision developers with extensive experience, specialized skills in deep learning and image processing, and often working in high-demand industries such as autonomous vehicles or AI research can earn $500,000 or more annually. Achieving this level typically requires advanced degrees, certifications, and a strong portfolio of impactful projects.
What are popular job titles related to Computer Vision Developer jobs in Texas? For Computer Vision Developer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Computer Vision Developer jobs in Texas look for? The top searched job categories for Computer Vision Developer jobs in Texas are:
Computer Vision Developer jobs near you
Software Engineer - Autonomy and Vision Systems

Software Engineer - Autonomy and Vision Systems

Advanced Micro Devices, Inc

Austin, TX • On-site

$152K/yr

Full-time

Posted 22 days ago

Advanced Micro Devices rating

8.4

Company rating: 8.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

23rd of 141 rated electronics manufacturers

Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
THE TEAM:
Our Physical AI team develops technologies that enable machines to perceive, understand, and interact with the physical world. By combining embedded systems, real-time software, computer vision, AI, adaptive computing, and high-performance edge platforms, we create intelligent solutions for robotics, industrial automation, automotive, machine vision, and emerging Physical AI applications.
THE ROLE:
We are seeking a Software Engineer to join our Physical AI team, developing next-generation intelligent systems for robotics, automotive, industrial, and edge AI applications.
This role focuses on the development and integration of embedded software, computer vision applications, and real-time processing pipelines that enable machines to perceive and interact with the physical world. Solutions are deployed across a range of computing architectures, including embedded x86 platforms, adaptive SoCs, and AI-accelerated edge devices, requiring a strong understanding of software optimization, system integration, and real-time system design.
THE PERSON:
You will work across Linux and Real-Time Operating System (RTOS) environments, developing software that delivers deterministic performance for perception, control, sensor processing, and AI-enabled workloads. Working closely with software, hardware, FPGA, AI, and systems engineering teams, you will contribute to the development of robust and scalable solutions targeting AMD embedded computing platforms, including AMD Ryzen™ Embedded processors and AMD Versal™ AI Edge Gen 2 devices.
This role offers an exciting opportunity to combine embedded software engineering, computer vision, RTOS development, and edge AI technologies to help build the next generation of intelligent machines.
KEY RESPONSIBILITIES:
  • Design, develop, and maintain software for embedded and edge computing platforms.
  • Develop software for Linux and Real-Time Operating System (RTOS) environments.
  • Design and implement real-time software components where deterministic performance and low latency are critical.
  • Develop and integrate computer vision and perception applications for real-world deployment.
  • Build and optimize image processing, video processing, and AI inference pipelines.
  • Develop and optimize software for embedded x86 compute platforms and heterogeneous edge computing systems.
  • Support deployment and performance tuning across CPU, GPU, FPGA, and AI accelerator architectures.
  • Collaborate with hardware, FPGA, AI, and systems teams to deliver integrated solutions.
  • Support platform bring-up, debugging, validation, and performance optimization activities.
  • Analyze and optimize software for latency, throughput, memory utilization, and power efficiency.
  • Contribute to technical documentation, software architecture, and engineering best practices.
  • Support the development of demonstrations, reference applications, and customer-facing solutions.
  • Strong software development experience using C/C++.
  • Experience developing software within Linux environments.
  • Experience working with Real-Time Operating Systems (RTOS).
  • Understanding of RTOS concepts including task scheduling, inter-process communication, synchronization mechanisms, interrupt handling, and deterministic system behavior.
  • Understanding of embedded systems architecture and software development.
  • Experience developing software for embedded Linux platforms based on x86 and/or ARM architectures.
  • Experience developing or integrating computer vision, image processing, or video processing applications.
  • Familiarity with OpenCV or equivalent computer vision frameworks.
  • Understanding of system-level performance optimization on modern multicore processors.
  • Experience debugging and optimizing complex software systems.
  • Strong problem-solving and analytical skills.
  • Excellent written and verbal communication skills.
  • Ability to work effectively within multidisciplinary engineering teams.

PREFERRED EXPERIENCE:
  • Experience with RTOS platforms such as QNX, GreenHills, or similar real-time operating systems.
  • Experience designing software for low-latency, safety-critical, or time-sensitive embedded applications.
  • Experience with AMD Vitis™ AI or equivalent AI deployment frameworks.
  • Experience with AMD Ryzen™ Embedded, EPYC™ Embedded, Versal™ AI Edge, Zynq UltraScale+, Kria™, or similar edge computing platforms.
  • Understanding of FPGA-based acceleration and hardware/software co-design methodologies.
  • Experience with AI inference deployment using ONNX, PyTorch, TensorFlow, or related frameworks.
  • Experience with ROS 2 and robotics software architectures.
  • Understanding of perception systems including cameras, radar, lidar, and sensor fusion technologies.
  • Familiarity with graphics and visualization technologies such as OpenGL, Vulkan, or Wayland.
  • Experience with Linux kernel, BSP, device driver, or low-level platform software development.
  • Understanding of heterogeneous computing architectures combining CPUs, GPUs, FPGAs, and dedicated AI accelerators.
  • Experience with performance profiling, optimization, and benchmarking on multicore systems.
  • Knowledge of networking, middleware, and distributed edge computing systems.
  • Experience within robotics, automotive, industrial automation, aerospace, machine vision, or related embedded systems domains.

LOCATION:
Austin, TX
#LI-HYBRID
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.

What Advanced Micro Devices employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply