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

Senior Robotics Engineer

Austin, TX · Remote

$150K - $250K/yr

Translate computer-vision tracking output into reliable motor commands that steer the interceptor ... Work fully onsite in Austin, TX as a full-time member of a small, senior engineering team. What We ...

Chief CV/ML Engineer

Austin, TX · On-site

$250K - $350K/yr

Chief Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems Company ... This is a senior technical leadership role: your time will center on architecture, design review ...

Chief Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems Company ... This is a senior technical leadership role: your time will center on architecture, design review ...

Showing results 21-40

Senior Computer Vision information

See Austin, TX salary details

$24.8K

$79.6K

$162.1K

How much do senior computer vision jobs pay per year?

As of Aug 17, 2026, the average yearly pay for senior computer vision in Austin, TX is $79,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,100.00 and $102,100.00 per year, depending on experience, location, and employer.

What does a senior computer vision engineer do?

A Senior Computer Vision Engineer designs and implements algorithms that enable computers to interpret and process visual data from the world, such as images and videos. They work on tasks like object detection, image classification, and facial recognition, often using machine learning and deep learning techniques. Senior-level professionals also lead projects, mentor junior engineers, and help integrate computer vision solutions into products or services. Their expertise is critical in industries like autonomous vehicles, healthcare, robotics, and security.

What are some common challenges faced by senior computer vision engineers when deploying models to production environments?

Senior Computer Vision Engineers frequently encounter challenges such as ensuring model robustness under real-world conditions, optimizing inference speed for large-scale deployments, and managing diverse data quality issues. Additionally, integrating computer vision models into existing software systems often requires close collaboration with backend engineers and DevOps teams to maintain reliable, scalable pipelines. Addressing these obstacles typically involves rigorous testing, ongoing model monitoring, and iterative improvement to ensure accuracy and performance in dynamic environments.

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

To thrive as a Senior Computer Vision Engineer, you need deep expertise in computer vision algorithms, machine learning, and a strong background in mathematics or computer science, usually supported by an advanced degree. Mastery of programming languages like Python or C++, and experience with frameworks such as OpenCV, TensorFlow, or PyTorch, as well as familiarity with cloud platforms and GPU computing, are typically required. Strong problem-solving abilities, effective communication, and the ability to collaborate across interdisciplinary teams are vital soft skills. These competencies are crucial for developing innovative vision solutions, ensuring project success, and translating complex technical concepts for diverse stakeholders.

What are the most commonly searched types of Computer Vision jobs in Austin, TX?

The most popular types of Computer Vision jobs in Austin, TX are:

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

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

Physical AI, Computer Vision Engineer

Advanced Micro Devices, Inc

Austin, TX

$130K - $171K/yr

Full-time

Re-posted 19 hours ago


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 157 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 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 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

Novi, MI

San Jose, CA

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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