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Senior Video Codec Engineer Jobs in Arizona (NOW HIRING)

Provn

Senior Program Manager

Scottsdale, AZ · Remote

$102K - $150K/yr

You'll work directly with product owners, engineering leaders, and business stakeholders to keep ... Present your approach on video, your critical thinking, and your solution. Humans, not bots, review ...

M.C. Dean, Inc

Network Engineer 2 - Luke AFB, AZ

AZ · On-site

... video surveillance, audio visual, it systems, perimeter defense and command and control systems for ... Assists Senior Engineers in preparation of Designs, including: Narrative Design Documents, Systems ...

M.C. Dean, Inc

Network Engineer 3 - Luke AFB, AZ

AZ · On-site

... video surveillance, audio visual, it systems, perimeter defense and command and control systems for ... Assists Senior Engineers in preparation of Designs, including: Narrative Design Documents, Systems ...

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Senior Video Codec Engineer information

What is the difference between Senior Video Codec Engineer vs Video Compression Engineer?

AspectSenior Video Codec EngineerVideo Compression Engineer
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering; experience with video codecsSimilar educational background; focus on compression algorithms
Work EnvironmentR&D teams in tech companies, multimedia firmsMedia companies, streaming services, hardware manufacturers
Employer & Industry UsageUsed in video streaming, broadcasting, video conferencingApplied in video storage, streaming, hardware encoding
Common Search & ComparisonOften compared due to overlapping skills in video codecs and compressionRelated but more focused on compression techniques

The main difference is that a Senior Video Codec Engineer specializes in developing and optimizing video codecs, while a Video Compression Engineer focuses on designing and implementing compression algorithms. Both roles require similar technical skills and often work in overlapping industries, but the Senior Video Codec Engineer typically has more experience with codec architecture and performance tuning.

How often should a 75 year old woman take a shower?

A senior video codec engineer, like any individual, should shower based on personal hygiene needs, typically daily or every other day. Older adults may prefer shorter, gentle showers to protect skin health, and maintaining good hygiene is important for overall well-being.

In what grade is senior?

In the context of a Senior Video Codec Engineer, the term 'senior' typically indicates a higher-level position that requires several years of experience, advanced technical skills, and often leadership responsibilities. It is not associated with a specific grade or pay scale universally, as grading systems vary by company, but it generally reflects a mid- to upper-level professional role within engineering teams.

What should a 70 year old be doing every day at home?

A senior video codec engineer at home can focus on maintaining physical activity, engaging in hobbies, and staying mentally active through reading or learning new skills. Regular routines, such as light exercise, social interaction, and health monitoring, support overall well-being and productivity. Incorporating technology tools like video editing or streaming software can also help keep skills sharp and engaged.

Are you a senior at 55?

In the context of a Senior Video Codec Engineer role, age does not determine seniority; experience, skills, and expertise are the key factors. Many professionals continue to excel in senior roles well into their 50s and beyond, provided they maintain relevant technical knowledge and adapt to industry changes. Age should not be a barrier to achieving or maintaining a senior position in this field.
What are popular job titles related to Senior Video Codec Engineer jobs in Arizona? For Senior Video Codec Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Senior Video Codec Engineer jobs in Arizona look for? The top searched job categories for Senior Video Codec Engineer jobs in Arizona are:
Senior Video Codec Engineer jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Prime Solutions Group, Inc.

Goodyear, AZ

$110K/yr

Other

Posted 27 days ago

Job description

Job Type
Full-time
Description
Prime Solutions Group (PSG), Inc. is an innovative digital engineering company founded in 2007 and headquartered in Goodyear, AZ. We specialize in advanced sensing, AI/ML, and digital engineering solutions, partnering with many of the nation's leading defense companies to deliver mission-critical technology.
Our work spans the full system lifecycle-from R&D to operational deployment-supporting the Department of Defense, Intelligence Community, and federal partners. At PSG, you'll join a small, agile team where your contributions have a direct impact while working alongside top-tier engineering talent.
Position Overview
Turn machine learning into real-world mission capability.
PSG is seeking a Machine Learning Engineer to design, build, and deploy AI/ML solutions that power mission-critical systems. This role focuses on taking models from concept to production-developing pipelines, integrating models into software systems, and ensuring performance, scalability, and reliability in real-world environments.
You'll work at the intersection of machine learning, software engineering, and DevSecOps, collaborating with cross-functional teams to deliver secure, production-ready AI solutions supporting national security missions.
What You'll Do

  • Design, build, and maintain ML pipelines for data preparation, training, evaluation, and deployment
  • Develop and optimize ML models and applications using Python and frameworks like PyTorch or TensorFlow
  • Integrate models into production systems (APIs, batch pipelines, real-time services)
  • Implement model validation, evaluation metrics, and performance monitoring
  • Improve model accuracy, scalability, and efficiency through tuning and data strategy improvements
  • Collaborate with data engineers and domain experts to prepare and validate datasets
  • Partner with DevSecOps/MLOps teams to deploy ML solutions in secure environments
  • Troubleshoot model and pipeline issues; perform root cause analysis and optimization
  • Contribute to technical documentation, test plans, and operational runbooks
  • Participate in design reviews, architecture discussions, and Agile development processes
  • Mentor junior engineers and promote engineering best practices
Requirements
  • U.S. Citizenship
  • Active Top Secret Clearance (SCI eligibility; CI Poly preferred or ability to obtain)
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field
  • 4+ years of experience in:
    • Machine Learning Engineering
    • Applied AI/ML development
    • Production ML systems
  • Strong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow)
  • Experience developing, training, and deploying ML models in real-world applications
  • Solid understanding of the ML lifecycle (data ? training ? validation ? deployment ? monitoring)
  • Experience building maintainable, production-quality software
  • Familiarity with Docker and cloud environments (AWS, Azure, or GCP)
  • Experience working in Agile and CI/CD environments
  • Strong problem-solving, communication, and collaboration skills
Preferred Qualifications
  • Master's degree in a related field
  • Experience with computer vision, image/video analytics, or sensor data (e.g., RF, SAR)
  • Experience transitioning models from research to production environments
  • Familiarity with experiment tracking, model versioning, and reproducibility practices
  • Experience with GPU-based ML workflows and cloud ML platforms
  • Background in defense, intelligence, or other regulated environments
Why Join PSG?
At PSG, you're not just taking a job-you're building technology that matters.
  • Competitive compensation & benefits
  • 9/80 flexible work schedule
  • Professional development & tuition assistance
  • Small, agile team with high ownership and visibility
  • Work on mission-critical systems supporting national security
  • Opportunities to grow across AI/ML, software engineering, and platform development

Bring your machine learning expertise to PSG and help deliver the next generation of secure, intelligent, mission-driven systems.
Salary Description
Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.

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