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Machine Vision Software Engineer Jobs in Texas (NOW HIRING)

Collaborate with algorithm engineers, software engineers, application engineers, and product teams ... Experience with computer vision, image processing, computational imaging, or machine vision systems.

Collaborate with algorithm engineers, software engineers, application engineers, and product teams ... Experience with computer vision, image processing, computational imaging, or machine vision systems.

Collaborate with algorithm engineers, software engineers, application engineers, and product teams ... Experience with computer vision, image processing, computational imaging, or machine vision systems.

Collaborate with algorithm engineers, software engineers, application engineers, and product teams ... Experience with computer vision, image processing, computational imaging, or machine vision systems.

Software Engineer (AI/ML)

Austin, TX · On-site

$98 - $166/hr

Collaborate with algorithm engineers, software engineers, application engineers, and product teams ... or machine vision systems.Experience with deep learning frameworks such as TensorFlow or PyTorch.

... vision technology. They are seeking a highly skilled robotics software engineer proficient in C ... Exposure to machine learning frameworks (TensorFlow, PyTorch) or scientific computing. • ...

... vision, and software engineers. • Implement best practices in software engineering, including ... Exposure to machine learning frameworks (TensorFlow, PyTorch) or scientific computing. • ...

... vision, and software engineers. • Implement best practices in software engineering, including ... Exposure to machine learning frameworks (TensorFlow, PyTorch) or scientific computing. • ...

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Machine Vision Software Engineer information

What does a machine vision software engineer do?

A Machine Vision Software Engineer designs, develops, and maintains software systems that enable computers to interpret and process visual information from the real world. They work with cameras, sensors, and advanced algorithms to automate tasks such as inspection, identification, measurement, and guidance in industrial and robotics applications. Their responsibilities often include integrating hardware with software, optimizing image processing algorithms, and ensuring the accuracy and reliability of vision systems. These engineers play a crucial role in industries like manufacturing, automotive, healthcare, and logistics where automated visual inspection and analysis are essential.

What are some of the main challenges machine vision software engineers face when integrating vision systems into manufacturing environments?

Machine Vision Software Engineers often encounter challenges such as ensuring reliable image capture despite varying lighting conditions and accommodating different types of defects or product variations. Integrating vision systems with existing automation hardware and production lines can require close collaboration with mechanical, electrical, and process engineers. Additionally, optimizing algorithms for real-time performance while maintaining high accuracy is a frequent necessity. Continuous testing and iterative development are key to addressing these challenges and delivering robust solutions in dynamic manufacturing settings.

What are the key skills and qualifications needed to thrive as a machine vision software engineer, and why are they important?

To thrive as a Machine Vision Software Engineer, you need a solid background in computer science, image processing, and mathematics, usually backed by a relevant degree. Familiarity with programming languages such as Python or C++, machine vision libraries like OpenCV, and experience with deep learning frameworks are typically required. Strong problem-solving, attention to detail, and effective communication skills help engineers design robust solutions and collaborate with multidisciplinary teams. These competencies are crucial for developing accurate, efficient vision systems that meet real-world automation and quality control demands.

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

AspectMachine Vision Software EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in CS, EE, or related; experience with image processingBachelor's or Master's in CS, EE, or related; strong programming skills in Python, C++
Work EnvironmentManufacturing, robotics, quality inspectionAutonomous vehicles, AI research, multimedia applications
Industry UsageManufacturing, industrial automation, roboticsTech, automotive, research institutions
Search & Comparison IntentFocus on industrial and automation applicationsFocus on AI, perception, and multimedia systems

While both roles involve image analysis and programming skills, Machine Vision Software Engineers primarily work on industrial automation and manufacturing systems, whereas Computer Vision Engineers focus on AI-driven perception in autonomous vehicles, robotics, and multimedia applications. The roles overlap in skills but differ in application environments and industry focus.

What cities in Texas are hiring for Machine Vision Software Engineer jobs?

Cities in Texas with the most Machine Vision Software Engineer job openings:

Infographic showing various Machine Vision Software Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Software Engineer - Autonomy and Vision Systems

Advanced Micro Devices

Austin, TX • On-site

$100 - $130/hr

Other

This job post has expired today. Applications are no longer accepted.


Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

27th of 159 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

BENEFITS:

Benefits offered are described: AMD benefits at a glance.

EEO STATEMENT:

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.

NOTE:

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

OTHER INFORMATION:

This posting is for an existing vacancy.

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