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Online Computer Vision Jobs in Texas (NOW HIRING)

UNAVAILABLE

Machine Learning Engineer

Frisco, TX · On-site

$140 - $190/hr

In this role, you will design, develop, and deploy state-of-the-art computer vision and language models that power scalable, real-world solutions. You'll work with large-scale image and video data ...

New

Quarterhill

Machine Learning Engineer

Frisco, TX · On-site

In this role, you will design, develop, and deploy state-of-the-art computer vision and language models that power scalable, real-world solutions. You'll work with large-scale image and video data ...

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX · On-site

$80K - $93K/yr

* Develop high-quality, maintainable code to build and deploy computer vision modules and machine learning models as part of an AI pipeline * Works with data and software engineering team to integrate ...

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX · On-site

$80K - $93K/yr

* Develop high-quality, maintainable code to build and deploy computer vision modules and machine learning models as part of an AI pipeline * Works with data and software engineering team to integrate ...

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX

$80K - $93K/yr

* Develop high-quality, maintainable code to build and deploy computer vision modules and machine learning models as part of an AI pipeline * Works with data and software engineering team to integrate ...

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

Implement and benchmark next-gen architectures (e.g., Multi-modal perception, Online Mapping ... Deep Learning, Computer Vision, Robotics, or related fields. * Technical Stack: Proficient in ...

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

Implement and benchmark next-gen architectures (e.g., Multi-modal perception, Online Mapping ... Deep Learning, Computer Vision, Robotics, or related fields. * Technical Stack: Proficient in ...

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Online Computer Vision information

What is an online computer vision specialist?

An Online Computer Vision specialist is a professional who designs and implements computer vision algorithms and systems that process images or videos in real-time over the internet or cloud platforms. Their work often involves developing applications for object detection, facial recognition, image classification, and video analysis that operate efficiently in online or streaming environments. These specialists need strong skills in programming, machine learning, and computer vision frameworks, and they often collaborate with data scientists and software engineers to deploy scalable solutions. Online Computer Vision is commonly used in industries such as security, healthcare, retail, and autonomous vehicles.

What is the difference between Online Computer Vision vs Computer Vision Engineer?

AspectOnline Computer VisionComputer Vision Engineer
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; knowledge of machine learning and programmingBachelor's or Master's in Computer Science, AI, or related fields; strong programming skills in Python, C++, and experience with deep learning frameworks
Work EnvironmentRemote or online platforms, project-based tasks, often freelance or contract rolesOffice or remote, involved in developing and deploying computer vision models within teams
Employer & Industry UsageTech companies, startups, research labs focusing on AI applicationsTech firms, R&D departments, startups working on AI and image processing solutions

Online Computer Vision roles typically focus on applying computer vision techniques in online or remote settings, often involving freelance or project-based work. In contrast, Computer Vision Engineers are more involved in developing, implementing, and maintaining computer vision systems within organizations. Both roles require similar educational backgrounds but differ in work environment and scope of responsibilities.

What are some common challenges faced by professionals working in online computer vision roles?

Professionals in online computer vision often encounter challenges such as processing large volumes of visual data in real-time and ensuring high accuracy in diverse and unpredictable environments. They must also address latency and bandwidth constraints when deploying models over the internet, and regularly update algorithms to keep up with evolving data patterns. Collaboration with data engineers, software developers, and product teams is essential to integrate vision solutions into scalable systems and deliver user-centric results.

What are the key skills and qualifications needed to thrive as an online computer vision engineer?

To excel as an Online Computer Vision Engineer, you need a solid background in computer science, machine learning, and image processing, typically supported by a relevant degree. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), experience with OpenCV, and proficiency in programming languages like Python or C++ are crucial. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies enable the development of accurate, scalable computer vision solutions that drive innovation in real-time, online environments.
What are the most commonly searched types of Computer Vision jobs in Texas? The most popular types of Computer Vision jobs in Texas are:
What are popular job titles related to Online Computer Vision jobs in Texas? For Online Computer Vision jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Online Computer Vision jobs in Texas look for? The top searched job categories for Online Computer Vision jobs in Texas are:
What cities in Texas are hiring for Online Computer Vision jobs? Cities in Texas with the most Online Computer Vision job openings:
Online Computer Vision jobs near you

Senior Physical AI Computer Vision Engineer - Autonomy and Vision Systems

Advanced Micro Devices, Inc

Austin, TX • On-site

$152K/yr

Full-time

Re-posted 20 days 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 156 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.

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