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Video Processing Jobs in Texas (NOW HIRING)

Hearst

Short-form Video Producer

Dallas, TX · Hybrid

Short-form video producer, The Dallas Morning News Reach new audiences and deliver award-winning ... process, please contact us by email at hnpemployment@hearst.com. Please do not use this email ...

NEP Group

Engineer In Charge

Grapevine, TX · On-site

Studio Operations including lighting, video processing systems, and cameras * Live Control Room production systems and subsystems * Infrastructure systems including routers, intercom, monitoring, KVM ...

Daniel Stark Law

Video Editing Intern

Austin, TX · On-site

$12/hr

As a Video Editing Intern, you'll help bring our clients' stories and social media content to life ... process." While we want you to share why you'd be a great fit for our team, we also want to show ...

Daniel Stark Law

Video Editing Intern

Austin, TX · On-site

$12/hr

As a Video Editing Intern, you'll help bring our clients' stories and social media content to life ... process." While we want you to share why you'd be a great fit for our team, we also want to show ...

Daniel Stark Law

Video Editing Intern

Killeen, TX · On-site

$12/hr

As a Video Editing Intern, you'll help bring our clients' stories and social media content to life ... process." While we want you to share why you'd be a great fit for our team, we also want to show ...

Daniel Stark Law

Video Editing Intern

Bryan, TX · On-site

$12/hr

As a Video Editing Intern, you'll help bring our clients' stories and social media content to life ... process." While we want you to share why you'd be a great fit for our team, we also want to show ...

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Video Processing information

See Texas salary details

$13

$29

$55

How much do video processing jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for video processing in Texas is $29.27, according to ZipRecruiter salary data. Most workers in this role earn between $22.16 and $32.93 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Video Processing position, and why are they important?

To thrive in Video Processing, you need a solid grasp of video codecs, compression techniques, and digital image processing, often supported by a degree in computer science, electrical engineering, or a related field. Experience with tools like Adobe Premiere, Final Cut Pro, FFmpeg, and scripting languages such as Python or MATLAB, as well as relevant certifications (e.g., Adobe Certified Expert), is highly valued in this field. Strong problem-solving skills, attention to detail, and effective communication help professionals excel in dynamic, collaborative production environments. These skills are crucial for delivering high-quality video content efficiently, meeting technical standards, and collaborating with creative and technical teams.

What is a Video Processing job?

A Video Processing job involves analyzing, enhancing, compressing, and transforming video content using software and algorithms. Professionals in this field work with codecs, filters, and editing tools to improve video quality, optimize file sizes, and ensure smooth playback across different platforms. They may also develop or implement computer vision techniques for tasks like object detection and motion tracking. Common industries for video processing jobs include entertainment, surveillance, broadcasting, and AI-driven applications.

What are some common challenges faced in a Video Processing role?

Professionals in Video Processing often encounter challenges such as optimizing file sizes without compromising visual quality, dealing with varying input formats, and ensuring playback compatibility across different devices and platforms. They must troubleshoot encoding errors, address synchronization issues, and adapt to rapidly evolving industry standards and technologies. Collaboration with editors, producers, and IT staff is frequent, requiring clear communication to ensure project objectives are met. Staying current with new codecs and workflow tools also plays a major part in overcoming day-to-day obstacles and delivering high-quality results.

What are the most commonly searched types of Video Processing jobs in Texas? The most popular types of Video Processing jobs in Texas are:
What are popular job titles related to Video Processing jobs in Texas? For Video Processing jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Video Processing jobs in Texas look for? The top searched job categories for Video Processing jobs in Texas are:
Video Processing jobs near you
Software Engineer - Autonomy and Vision Systems

Software Engineer - Autonomy and Vision Systems

Advanced Micro Devices , Inc.

Austin, TX

Other

Posted 2 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

22nd of 139 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-REMOTE
#LI-SL2
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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