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Video Surveillance Software Engineer Jobs (NOW HIRING)

Atria Group LLC

Software Engineer - Java

Charlotte, NC · On-site

$50.50 - $69.25/hr

Premier's Safety Solutions group is the industry leader in clinical surveillance software that ... We need an experienced Software Engineer to lead a team to develop high performing software in a ...

Whatnot

Software Engineer, Video

New York, NY · On-site

$190K - $260K/yr

As our next Video Engineer you should have: * 6+ years of software engineering experience. * Bachelor's degree in Computer Science, a related field, or equivalent work experience. * Experience with ...

Ambarella

Our target applications include autonomous vehicles, intelligent video surveillance, self-flying ... System Software Algorithm engineers at Ambarella research and develop next-generation computer ...

Atria Group LLC

Software Engineer - Java

Salt Lake City, UT · On-site

$50 - $68.75/hr

Premier's Safety Solutions group is the industry leader in clinical surveillance software that ... We need an experienced Software Engineer to lead a team to develop high performing software in a ...

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Video Surveillance Software Engineer information

See salary details

$11K

$150K

$173.5K

How much do video surveillance software engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for video surveillance software engineer in the United States is $150,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What are some common challenges Video Surveillance Software Engineers face when integrating new technologies into existing surveillance systems?

Video Surveillance Software Engineers often encounter challenges when integrating new technologies, such as ensuring compatibility with legacy hardware, maintaining system security, and handling large-scale video data efficiently. Adapting to rapidly evolving camera and analytics standards can also require frequent updates and close collaboration with hardware vendors and IT security teams. Effective communication and thorough testing are crucial to minimize disruptions and maintain reliable surveillance coverage.

What are the key skills and qualifications needed to thrive as a Video Surveillance Software Engineer, and why are they important?

To thrive as a Video Surveillance Software Engineer, you need strong programming skills (such as C++, Python, or Java), a solid understanding of computer vision, and a degree in computer science or a related field. Familiarity with video analytics frameworks, machine learning libraries (like OpenCV or TensorFlow), and experience with network protocols and database systems are typically required. Attention to detail, problem-solving abilities, and effective teamwork set outstanding engineers apart in this field. These skills are crucial for developing robust, scalable, and secure surveillance solutions that meet real-world security demands.

What does a Video Surveillance Software Engineer do?

A Video Surveillance Software Engineer designs, develops, and maintains software systems that manage and analyze video feeds from surveillance cameras. They work on tasks such as video streaming, storage solutions, motion detection algorithms, and integration with security systems. These engineers ensure that the software is reliable, scalable, and secure, often collaborating with hardware engineers, security experts, and data analysts. Their work is crucial in sectors like public safety, transportation, and commercial security.

What is the difference between Video Surveillance Software Engineer vs Network Security Engineer?

AspectVideo Surveillance Software EngineerNetwork Security Engineer
Required CredentialsBachelor's in Computer Science or related field, certifications like CCNA or Security+Bachelor's in Cybersecurity, certifications like CISSP or CEH
Work EnvironmentDeveloping surveillance software, embedded systems, or cloud platformsDesigning and implementing network security protocols, firewalls, and intrusion detection
Industry UsageSecurity system providers, surveillance hardware companies, government agenciesIT firms, financial institutions, government agencies

While both roles involve cybersecurity principles and require technical certifications, the Video Surveillance Software Engineer focuses on developing and maintaining surveillance software systems, whereas the Network Security Engineer specializes in protecting network infrastructure from threats. Both roles are vital in security-focused industries but differ in their specific technical focus and daily tasks.

Infographic showing various Video Surveillance Software Engineer job openings in the United States as of May 2026, with employment types broken down into 57% Full Time, 32% Part Time, and 11% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $150,000 per year, or $72.1 per hour.
Software Engineer - Video Technology

Software Engineer - Video Technology

cosm

Pittsburgh, PA

Other

Posted 14 days ago

Job description

Summary:

The Video Software Engineer is responsible for developing, optimizing, and maintaining C360’s real-time video pipeline, which powers mission-critical services for our broadcast, league, and streaming partners. This role contributes to the full lifecycle of a cutting-edge video platform, from architecture and development through deployment and operational support, while working across the video processing stack, including real-time image processing, accelerated decoding and encoding, and video transport technologies. The ideal candidate is a solutions-oriented engineer who thrives in fast-paced environments while maintaining a high standard of engineering excellence. They bring experience across the software development lifecycle, understand how to select the right technologies for the problem at hand, and ideally have familiarity with the sports, broadcast, streaming media, and cloud software industries. Success in this role requires strong collaboration skills, adaptability, and the ability to work effectively within an agile, cross-functional engineering team.

Responsibilities:

  • Collaborate within an agile team to build and deploy distributed, robust, low-latency video pipelines for both on-premises and cloud deployment.
  • Participate in architectural, design, and product sessions
  • Stay on top of industry trends and emerging technologies
  • Exemplify excellent written and verbal communication skills and the ability to tailor
    technical communications to any audience deftly
  • Push the limits, try new technologies, take calculated risks, swing for the fences, and proactively search for the best solutions and ideas in the marketplace
  • Occasionally offer on-call support to field teams (evenings and weekends)
  • Accurately document work, both in code and schematic form

Experience:

  • BS degree or higher in Computer Science, Electrical / Computer Engineering, Software Engineering or the equivalent.
  • Experience with both Windows 10/11 64-bit and Linux development environments
  • Significant experience in C++ and Rust
  • Knowledge of AWS cloud services/tooling and technology (S3, EC2, etc.)
  • Knowledge of multimedia frameworks, such as GStreamer
  • Knowledge of video codecs, with a main focus on HEVC, as well as an understanding of streaming technologies and transports (e.g., MPEG-TS, SRT, HLS, webRTC)
  • Expertise in mission-critical, high-availability hardware/software
  • Knowledge of NVIDIA GPU ecosystem, including CUDA and the NVIDIA Video Codec SDK
  • Knowledge of SMPTE broadcast standards and technologies
  • Video/Image processing knowledge, demosaicing, denoising, color space conversion, image enhancement
  • Experience working with agile methodologies
  • Knowledge of best practices for code management, version control, and deployment
  • You possess the ability to work autonomously, but also as part of a team.
  • You can quickly shift work priorities to accommodate client needs.

Bonus Experience:

  • Experience with Python or C#
  • Experience with MongoDB
  • Experience designing, deploying, and maintaining cloud-based workflows
  • Knowledge of AI/ML methods for video enhancement
  • Knowledge of machine vision standards and transports
  • Familiarity with ZMQ or other message bus (e.g., Kafka) software
  • General knowledge of camera technology
  • Knowledge of broadcast tools such as vector scopes, RCP/CCU
  • Experience with OEM SDI output cards and APIs from AJA, Blackmagic Design, etc.

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