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Video Processing Jobs in Washington (NOW HIRING)

Wyetech

Software Engineer 2 (Hybrid)

Laurel, MD · On-site

NLP, Computer Vision, ASR, Video Processing Desired Technical Skills * Familiarity with ML domains: Natural Language Processing, Computer Vision, Automated Speech Recognition, or Video Processing

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$16

$35

$68

How much do video processing jobs pay per hour?

As of May 30, 2026, the average hourly pay for video processing in Washington is $35.59, according to ZipRecruiter salary data. Most workers in this role earn between $26.97 and $40.00 per hour, depending on experience, location, and employer.

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 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 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.
More about Video Processing jobs
What are the most commonly searched types of Video Processing jobs in Washington? The most popular types of Video Processing jobs in Washington are:
What are popular job titles related to Video Processing jobs in Washington? For Video Processing jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Video Processing jobs in Washington look for? The top searched job categories for Video Processing jobs in Washington are:
Video Processing jobs near you
Infographic showing various Video Processing job openings in Washington as of May 2026, with employment types broken down into 58% Full Time, 40% Part Time, and 2% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $74,017 per year, or $35.6 per hour.
Software Engineer 2 (Hybrid)

Software Engineer 2 (Hybrid)

Wyetech

Laurel, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

At Wyetech, you'll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry.
We're seeking a Software Engineer to bridge the critical gap between cutting-edge ML research and production-ready solutions. You'll transform research prototypes into robust, deployable systems that end users can confidently put into production. This role uniquely combines software engineering, DevOps practices, and ML solution delivery.
This job also offers telework once the candidate is familiar with the environment
***This position is eligible for a $5k bonus! (Includes 20% SEP IRA contribution)***
Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph).
Capabilities
  • Transform research code and prototypes from our ML team into reliable, scalable solutions ready for end-user deployment
  • Develop applications and services in C++, Java, or Python; create gRPC-based containerized solutions with clients in Java, Python, or GoLang
  • Design and maintain CI/CD pipelines, ensuring smooth deployment from development to production
  • Configure and optimize containers using NVIDIA Triton Inference Server for high-performance inference
  • Profile, tune, and optimize solutions for production workloads
  • Create comprehensive user documentation and establish deployment best practices
  • Work directly with end users to understand requirements and with researchers to align development with real-world needs
  • Your work directly enables researchers' innovations to reach real users
  • Work across the full stack-from low-level optimization to deployment automation
  • Exposure to cutting-edge ML research and practical production challenges
  • Interface with both research teams and end users, shaping solutions from both directions

Required Qualifications
  • TS/SCI with agency appropriate poly
  • 14+ years of software engineering experience
  • Strong programming skills in at least two of: C++, Java, Python, or GoLang
  • Solid understanding of DevOps practices and CI/CD pipelines
  • Experience with containerization (Docker) and orchestration (Kubernetes)
  • Experience with machine learning frameworks (PyTorch preferred)
  • Prior work in ML engineering or ML infrastructure
  • Ability to write clean, maintainable code with strong software engineering fundamentals
  • Experience taking projects from prototype to production
  • Strong communication skills for technical and non-technical audiences
  • Self-motivated with ability to work independently and collaboratively

Required Technical Skills
  • Languages: C++, Java, Python, GoLang
  • ML Stack: PyTorch, ONNX, TensorRT, NVIDIA Triton
  • Infrastructure: Docker, Kubernetes, gRPC
  • DevOps: CI/CD tools, monitoring, logging systems
  • Domains: NLP, Computer Vision, ASR, Video Processing

Desired Technical Skills
  • Familiarity with ML domains: Natural Language Processing, Computer Vision, Automated Speech Recognition, or Video Processing
  • Knowledge of model formats and optimization (ONNX, TensorRT)
  • Protocol Buffers (protobuf) and gRPC
  • NVIDIA technologies (CUDA, TensorRT, Triton Inference Server)
  • Signal processing techniques and libraries
  • Performance profiling and optimization tools
  • Experience supporting production ML systems
  • Background in high-performance computing and/or GPU programming

The Benefits Package
  • Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds.

Additional benefits include:
  • Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs.

Full-time employees have the option to participate in a variety of voluntary benefit plans including:
  • A Choice of Medical Plan Options, some with Health Savings Account (HSA)
  • Vision and Dental
  • Life and AD&D Benefits
  • Short and Long-Term Disability
  • Hospital Indemnity, Accident, and Critical Illness Insurances
  • Optional Identity Theft and Legal Protection Services

Company Environment & Perks
  • Employee Referral Bonus Eligibility up to $10,000
  • Mobility Among Wyetech-supported Contracts
  • Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS
  • Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party.
  • Employees receive two complementary branded clothing orders annually.

$64.04 - $120.27 an hour
Pay Range: $64.04 - $120.27per hour*
Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications, and geographic location. *Hourly pay rates reflect the pre-benefit gross wage amounts.
Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Affirmative Action Statement:
Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans.
Accommodations:
Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or [email protected]. We are happy to provide reasonable accommodations to ensure equal access to all candidates.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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