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Machine Vision Software Engineer Jobs in California

Build high-performance C++ systems for machine vision and AI on edge devices, processing gigabytes ... Experience * 5+ years of software engineering experience. * Strong proficiency in C++ and modern ...

Design precision mechanical assemblies for industrial machine vision systems. * Design camera ... Generate complete engineering documentation including drawings, BOMs and ECOs. * Support prototype ...

Develop high-performance C++ software for machine vision and AI systems running on edge devices ... Collaborate with senior engineers to improve the reliability, performance, and scalability of our ...

We are looking for a talented Software Engineer to implement solutions to enhance the video and ... Knowledge of machine vision camera technology is a plus. * Passion for gaming, video live-streaming ...

We are looking for a talented Software Engineer to implement solutions to enhance the video and ... Knowledge of machine vision camera technology is a plus. * Passion for gaming, video live-streaming ...

Design precision mechanical assemblies for industrial machine vision systems. * Design camera ... Generate complete engineering documentation including drawings, BOMs and ECOs. * Support prototype ...

Senior Software Engineer, Edge

San Francisco, CA · On-site

$144K - $190K/yr

Build high-performance C++ systems for machine vision and AI on edge devices, processing gigabytes ... Experience * 5+ years of software engineering experience. * Strong proficiency in C++ and modern ...

Showing results 41-60

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 job categories do people searching Machine Vision Software Engineer jobs in California look for? The top searched job categories for Machine Vision Software Engineer jobs in California are:
What cities in California are hiring for Machine Vision Software Engineer jobs? Cities in California with the most Machine Vision Software Engineer job openings:
Infographic showing various Machine Vision Software Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior Physical AI Computer Vision Engineer - Perception and Platform

Advanced Micro Devices, Inc

San Jose, CA • On-site

$122K - $168K/yr

Full-time

Re-posted 21 days ago


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Company rating: 8.6 out of 10

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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 is building the intelligent software that enables machines to perceive, understand, and interact with the physical world. By combining embedded computing, real-time software, computer vision, AI, adaptive SoCs, and high-performance edge platforms, we develop next-generation solutions powering robotics, industrial automation, autonomous systems, machine vision, automotive, and emerging AI-driven applications.

Working at the intersection of AI, embedded systems, and heterogeneous computing, our team transforms AMD technologies into intelligent, real-world solutions that accelerate the future of Physical AI.

THE ROLE

We are seeking a Senior Physical AI Software Engineer to develop next-generation software for intelligent edge systems that combine embedded computing, real-time processing, computer vision, and AI.

In this role, you will design, develop, and optimize software that enables machines to perceive, analyze, and respond to their environments with deterministic, low-latency performance. You will build software spanning embedded Linux and RTOS platforms while integrating AI inference, computer vision, sensor processing, and real-time control across AMD's embedded computing portfolio.

Working closely with software, AI, FPGA, silicon, and systems engineers, you will help deliver scalable Physical AI solutions for robotics, industrial automation, automotive, machine vision, aerospace, and other intelligent edge applications.

This position provides an opportunity to work across the complete software stack—from low-level platform software through AI-enabled applications—leveraging heterogeneous computing architectures including CPUs, GPUs, FPGAs, and dedicated AI accelerators.

THE PERSON

You are passionate about building software that bridges embedded systems, AI, and real-world intelligent machines. You thrive solving complex engineering challenges involving real-time processing, perception, and system optimization.

You enjoy working across multidisciplinary teams and are comfortable developing software that spans embedded Linux, RTOS, computer vision, AI inference, and heterogeneous computing architectures. You are driven by performance, scalability, and delivering robust software that powers next-generation intelligent systems.

KEY RESPONSIBILITIES:

  • Design, develop, and maintain embedded software for AI-enabled edge computing platforms.
  • Develop software for Linux and Real-Time Operating Systems (RTOS) supporting deterministic, low-latency execution.
  • Design and implement real-time software for perception, sensor processing, control, and autonomous decision-making.
  • Develop and integrate computer vision, image processing, and AI inference applications for real-world deployment.
  • Build and optimize high-performance image, video, and sensor processing pipelines.
  • Optimize software across heterogeneous computing architectures including CPUs, GPUs, FPGAs, and AI accelerators.
  • Collaborate with AI, FPGA, hardware, systems, and platform teams to deliver integrated Physical AI solutions.
  • Support platform bring-up, debugging, validation, and system integration.
  • Analyze and optimize latency, throughput, memory utilization, power efficiency, and overall system performance.
  • Contribute to software architecture, technical documentation, coding standards, and engineering best practices.
  • Develop demonstrations, reference applications, and customer enablement solutions showcasing AMD embedded technologies.
PREFERRED EXPERIENCE:
  • Experience with AMD Vitis AI or equivalent AI deployment frameworks.
  • Experience with AMD Versal AI Edge, Zynq UltraScale+, Kria, or other adaptive computing platforms.
  • Understanding of FPGA acceleration and hardware/software co-design methodologies.
  • Experience developing AI applications using ONNX, PyTorch, TensorFlow, or similar frameworks.
  • Familiarity with quantization, model optimization, pruning, and edge deployment techniques.
  • Experience with ROS 2 and robotics software architectures.
  • Understanding of perception systems including camera, radar, lidar, and sensor fusion pipelines.
  • Experience with graphics, visualization, or accelerated rendering technologies.
  • Familiarity with OpenGL, Vulkan, Wayland, or embedded graphics frameworks.
  • Experience with Linux kernel, device drivers, or low-level platform software development.
  • Experience with distributed AI, edge-to-cloud architectures, or heterogeneous computing systems.
  • Experience with robotics, automotive, aerospace, industrial automation, or other intelligent edge domains.

LOCATION:

San Jose, CA

Novi, MI

Austin, TX

This role is not eligible for visa sponsorship.

#LI-BW2

#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.

Qualifications:

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.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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