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Video Analyst Jobs (NOW HIRING)

Senior Product Manager, Video

Waltham, MA · On-site

$136K - $180K/yr

We design, develop, and manufacture advanced AI, video analytics, surveillance cameras, and access control solutions that are changing the way people interact with their security systems. Our ...

Senior Product Manager, Video

New York, NY

$138K - $182K/yr

We design, develop, and manufacture advanced AI, video analytics, surveillance cameras, and access control solutions that are changing the way people interact with their security systems. Our ...

Senior iOS Video Player Engineer

Austin, TX · Remote

$143K/yr

Use video analytics and QoE metrics to diagnose issues and improve real-world playback performance. Core Requirements 7+ years of iOS development experience with deep expertise in Swift and ...

Collaborate with operations and crossfunctional partners to align video content with campaign strategies and improve performance through postcampaign analysis and insights * Oversee all ...

Video Specialist

Mill Valley, CA · Remote

$8K - $10K/mo

About the Role Video is becoming a core growth and education channel at Boldin. We are hiring a ... You are both creative and analytical. You understand how storytelling, design, and performance ...

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Video Analyst information

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$35.5K

$99.2K

$127K

How much do video analyst jobs pay per year?

As of Jun 10, 2026, the average yearly pay for video analyst in the United States is $99,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $126,500.00 per year, depending on experience, location, and employer.

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

To excel as a Video Analyst, you should possess strong analytical skills, attention to detail, and a background in video editing or data analysis, often supported by a relevant degree in media, sports science, or computer science. Familiarity with video analysis software such as Hudl, Dartfish, or Sportscode, as well as proficiency with data visualization tools and possibly relevant certifications, is highly beneficial. Excellent communication, teamwork, and time management are valuable soft skills in this field. These competencies help ensure accurate video breakdowns and insightful reporting, which are critical for driving improvements and informed decisions in fields like sports or media production.

What is a Video Analyst job?

A Video Analyst is responsible for reviewing and analyzing video footage to extract insights, identify patterns, and support decision-making. This role is common in sports, security, and media industries, where analysts use software tools to break down footage and provide data-driven recommendations. In sports, they help teams improve performance by studying player movements and tactics. In security, they monitor surveillance footage for anomalies or threats. Strong analytical skills, attention to detail, and knowledge of video analysis software are essential for this role.

What are some typical daily responsibilities of a Video Analyst?

As a Video Analyst, your day-to-day tasks may include reviewing and tagging video footage, extracting key moments, compiling statistical data, and preparing clear reports or presentations for coaches, managers, or production teams. You may also participate in team meetings to discuss findings and collaborate on strategies, as well as update and maintain databases of analyzed footage. The role often requires balancing tight deadlines with high attention to detail, particularly during busy seasons or before important events. Consistent communication with other analysts, coaches, or creatives is key to aligning video insights with organizational goals.

More about Video Analyst jobs
What cities are hiring for Video Analyst jobs? Cities with the most Video Analyst job openings:
What are the most commonly searched types of Video Analyst jobs? The most popular types of Video Analyst jobs are:
Who are the top companies hiring for Video Analyst jobs? The top employers for Video Analyst jobs are:
What states have the most Video Analyst jobs? States with the most job openings for Video Analyst jobs include:
Infographic showing various Video Analyst job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 90% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $99,157 per year, or $47.7 per hour.
Senior Software Engineer, Video Analytics

Senior Software Engineer, Video Analytics

NVIDIA

Santa Clara, CA

$142K - $188K/yr

Other

Posted 10 hours ago


Job description

NVIDIA’s technology is at the heart of the AI revolution, touching people worldwide by powering everything from self-driving cars and robotics to digital twins and generative AI. Metropolis is transforming how the physical world is perceived and understood using advanced computer vision and deep learning. Our team builds large-scale distributed Vision AI platforms that power intelligent spaces, smart cities, retail analytics, and industrial environments.

We are looking for a seasoned software engineer to help build video analytics services and solutions using NVIDIA Metropolis. You will design and develop innovative functionalities for video processing, focusing on usability, accuracy, performance, and scalability. This is an excellent opportunity to apply innovative video analytics to real-world problems while delivering wide-scale impact. We are here to inspire the best in you and encourage you to inspire the best in others. You will learn about our values, meet outstanding people, and use extraordinary technology in an encouraging, diverse, and exciting environment.

What you’ll be doing:

  • Design and Develop: Lead the creation of modern software, services, systems, and AI agents for video processing across diverse domains, including smart cities, indoor spaces, and industrial environments.

  • Full Lifecycle Ownership: Engage in the complete software lifecycle—from conceptualization and prototyping to development, accuracy & performance tuning, and production release.

  • Leverage Frontier AI: Explore, optimize, and integrate innovative technologies, including Vision-Language Models (VLMs), Computer Vision (CV) models, and Large Language Models (LLMs), to implement forward-looking video processing capabilities on NVIDIA hardware.

  • Drive Engineering Excellence: Apply a strong software background to incorporate agility and rigor into design using AI-assisted coding capabilities, ensuring the highest degree of reliability and maintainability.

  • Optimize for Performance: Evaluate and fine-tune models using advanced tooling to improve accuracy and hardware utilization.

  • Collaborate Globally: Work within a worldwide matrixed software development team to translate advanced technologies into impactful real-world applications.

What we need to see:

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field (or equivalent experience).

  • 5+ years of professional software development contributing to production-grade machine learning systems, modern C++ and Python on Linux.

  • Strong computer science fundamentals, including algorithms, data structures, concurrency, and distributed systems concepts.

  • Hands-on experience using industry-leading multimodal VLMs and LLMs from both proprietary and open-source ecosystems

  • Practical experience with machine learning inference using GPU acceleration (such as CUDA, TensorRT, or comparable technologies) and pre/post-processing based on machine learning frameworks such as PyTorch

  • Sound understanding of microservices, distributed architectures, REST APIs

  • Strong analytical skills with a data-driven approach to debugging and achieving performance objectives.

Ways to stand out from the crowd:

  • Experience delivering comprehensive video AI solutions, demonstrating extensive expertise in multimedia technologies such as codecs and streaming pipelines.

  • Familiarity in optimizing frameworks like NVIDIA TAO and AutoML for vision and LLM/VLM model enhancement.

  • Experienced in creating, curating, and researching multimodal datasets.

  • Experience developing and deploying systems in embedded environments, particularly with NVIDIA Jetson and Orin platforms.

  • Knowledgeable in cloud-native deployment tools, including Docker, Kubernetes, and Helm, as well as GPU cloud infrastructure like Azure and AWS.

With competitive salaries and a generous benefits package, NVIDIA is considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking individuals in the industry working for us. Due to unprecedented growth, our exclusive engineering teams are expanding rapidly. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 15, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993