1

Video Compression Jobs in Austin, TX (NOW HIRING)

Relevant product development experience in micro-architecture design for low-power processors, on-chip bus and network interfaces, audio/video compression processors, AI/ML accelerators, and ...

Digital IC Design Engineer

Austin, TX · On-site

$116K - $233K/yr

Relevant product development experience in micro-architecture design for low-power processors, on-chip bus and network interfaces, audio/video compression processors, AI/ML accelerators, and ...

Content Manager

Austin, TX · On-site

$105 - $160/hr

... video display at the highest possible quality without costing you speed: correct formats, responsive and adaptive sizing, high-density assets, compression, and lazy-loading done right on both web and ...

New

Primary job responsibilities include: · Design, development, debugging, and testing of platform software for complex Android systems that combines Video/Audio compression codecs · Working in Linux ...

Design, development, debugging, and testing of platform software for complex Android systems that combines Video/Audio compression codecs Working in LinuxKernel, drivers, Android HAL,and binder, HIDL ...

Video Compression information

See Austin, TX salary details

$15

$25

$40

How much do video compression jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for video compression in Austin, TX is $25.20, according to ZipRecruiter salary data. Most workers in this role earn between $19.04 and $28.85 per hour, depending on experience, location, and employer.

What is video compression?

Video compression is the process of reducing the size of a digital video file by removing redundant or unnecessary data. This makes it easier to store and transmit videos over the internet or between devices without significantly sacrificing quality. There are two main types of compression: lossy, which discards some data to reduce file size, and lossless, which preserves all the original information. Common video compression standards include H.264, H.265 (HEVC), and VP9. Efficient video compression is crucial for streaming, broadcasting, and video conferencing applications.

What are the key skills and qualifications needed to thrive as a video compression engineer?

To thrive as a Video Compression Engineer, you need a solid understanding of video codecs, signal processing, and computer science, often backed by a degree in electrical engineering, computer science, or a related field. Familiarity with video compression standards (such as H.264, HEVC), programming languages (like C/C++), and tools like FFmpeg is essential. Strong problem-solving skills, attention to detail, and effective communication set standout professionals apart in this role. These competencies are crucial for developing efficient compression algorithms that ensure high-quality video delivery while minimizing bandwidth and storage requirements.

What are some common challenges faced by professionals working in video compression roles?

Professionals in video compression roles often face challenges such as balancing video quality with bandwidth and storage limitations, adapting to rapidly changing codecs and standards, and optimizing performance for various platforms and devices. They frequently collaborate with software engineers, content delivery teams, and QA testers to ensure efficient streaming and playback across different environments. Staying updated with the latest advancements in compression algorithms and troubleshooting artifacts or latency issues are also integral parts of the role.

What is the difference between Video Compression vs Video Editing?

AspectVideo CompressionVideo Editing
Required SkillsKnowledge of codecs, file formats, and compression algorithmsEditing software proficiency, creative skills, timeline management
Work EnvironmentPost-production, multimedia companies, streaming servicesFilm studios, media production, content creation
CertificationsNone mandatory, but certifications in multimedia or codecs can helpEditing software certifications (e.g., Adobe Premiere, Final Cut Pro)

Video Compression focuses on reducing file sizes for efficient storage and streaming, while Video Editing involves assembling and enhancing footage for final presentation. Both roles are essential in multimedia production but serve different purposes within the content creation process.

What are popular job titles related to Video Compression jobs in Austin, TX?

For Video Compression jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Video Compression jobs in Austin, TX look for?

The top searched job categories for Video Compression jobs in Austin, TX are:

What cities near Austin, TX are hiring for Video Compression jobs?

Cities near Austin, TX with the most Video Compression job openings:

Infographic showing various Video Compression job openings in Austin, TX as of August 2026, with employment types broken down into 44% Full Time, and 56% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $52,422 per year, or $25.2 per hour.

Hardware/ Software Co-Design Engineer

Neuralink

Austin, TX

Full-time

Re-posted 15 days ago


Job description

Team Description: 

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface applications. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future. 

Job Description & Responsibilities: 

Our Hardware/ Software Co-Design Engineer will be responsible for delivering micro-architecture and register-transfer level (RTL) implementation of digital IPs and systems with a focus in high-throughput low-power digital signal processor (DSP) and general-purpose hardware accelerators towards realizing state-of-the-art brain-computer interfaces. Relevant product development experience in micro-architecture design for low-power processors, on-chip bus and network interfaces, audio/video compression processors, AI/ML accelerators, and communication PHY/MAC will be preferred.

  • Micro-architecture design and RTL implementation of: 
    • Low-power digital signal processors
    • Low-power general-purpose hardware accelerators
    • Low-power graphics processing units
    • Low-power radio MAC/PHY
    • Low-power serial link MAC/PHY
  • Design and optimization of hardware/software interface with firmware engineers
  • Application-specific architecture optimization including:
    • Complex system modeling for energy and performance benchmarks
    • Workload analysis and modeling
    • Energy/performance profiling and analysis
    • Leveraging architecture-level design trade-offs with process technology and workload type
    • Balancing cost and performance under manufacturing process variation 
  • Collaboration on silicon bring-up tests with verification engineers 

Required Qualifications:

  • Bachelor of Science (B.S.) degree in Electrical Engineering and/or Computer Science or a related field, or equivalent experience
  • Evidence of exceptional ability in electrical engineering, computer science, or computer engineering
  • Experience designing and implementing embedded software in C or Rust
  • Expertise in SystemVerilog, C/C++, Python
  • Experience designing and implementing  emulation models, transactors, and test environments to replicate hardware behavior
  • Experience working on complex digital systems from architecture, microarchitecture, and RTL, using industry standard tools
  • Experience in designing digital signal processing pipelines, from algorithm to RTL

Preferred Qualifications: 

  • Experience in architecture optimization with process technology customization
  • Experience in the verification of complex digital systems, using industry standard tools
  • Experience in the physical design of complex digital systems, using industry standard tools
  • Experience testing and debugging digital system-on-a-chips
  • Functional modeling experience and logic verification with SystemVerilog, SystemC/C++
  • Experience automating tool flows
  • Experience in processor instruction set architecture design
  • Experience in compiler back-end design and customization