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Senior Vision Systems Jobs (NOW HIRING)

The Slate River Systems' Senior Controls Systems Engineer will design and implement MHE controls ... Vision systems; Industrial Ethernet and Machine Communications; and Power Distribution. * Assist ...

... Vision Systems -Hands-on inspection experience using calipers, micrometers, drop indicators, and laser micrometers -Experience performing component inspection using inspection equipment -Ability to ...

Senior Controls Engineer

New Baltimore, MI ยท On-site

$88K - $116K/yr

Senior Controls Engineer THE COMPANY Invio Automation is an Industry 4.0 automation leader that ... Vision System Knowledge: * Vision systems to perform part recognition, part position, robot ...

Senior Controls Engineer

Lansing, MI ยท On-site

$88K - $116K/yr

Senior Controls Engineer THE COMPANY Invio Automation is an Industry 4.0 automation leader that ... Vision System Knowledge: * Vision systems to perform part recognition, part position, robot ...

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Senior Vision Systems information

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$21K

$108.4K

$152K

How much do senior vision systems jobs pay per year?

As of Jul 18, 2026, the average yearly pay for senior vision systems in the United States is $108,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Vision Systems vs Vision Engineer?

AspectSenior Vision SystemsVision Engineer
Required CredentialsBachelor's or Master's in Computer Vision, Electrical Engineering, or related fields; experience with AI and machine learningBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; proficiency in image processing and software development
Work EnvironmentResearch labs, R&D departments, manufacturing facilitiesDevelopment teams, R&D, product design, and testing environments
Employer & Industry UsageTech companies, manufacturing, robotics, automotiveTech firms, automation, robotics, aerospace, and manufacturing

Both roles focus on computer vision technologies but differ in seniority and scope. Senior Vision Systems professionals typically lead projects, oversee teams, and have extensive experience, while Vision Engineers focus on developing and implementing vision algorithms. The roles often overlap in skills and industry usage, but senior roles involve more leadership and strategic responsibilities.

More about Senior Vision Systems jobs
What cities are hiring for Senior Vision Systems jobs? Cities with the most Senior Vision Systems job openings:
What are the most commonly searched types of Vision Systems jobs? The most popular types of Vision Systems jobs are:
What states have the most Senior Vision Systems jobs? States with the most job openings for Senior Vision Systems jobs include:
Infographic showing various Senior Vision Systems job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $108,432 per year, or $52.1 per hour.
Senior Software Engineer, Computer Vision

Senior Software Engineer, Computer Vision

Knightscope

Sunnyvale, CA โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

Salary: $175,000 to $210,000 (DOE)

About Knightscope

Knightscope is a security technology company building the Nations First Autonomous Security Force. The Company combines autonomous machines, advanced software, and human expertise to help protect people, property, and critical infrastructure. Knightscopes long-term mission is to make the United States of America the safest country in the world.


About the Role

We are looking for a Senior Software Engineer to design, develop, and deploy computer vision systems that turn continuous video, audio, and sensor streams into reliable security intelligence. Your work will directly impact the safety and operational effectiveness of deployed security platforms across hundreds of real-world sites. You will collaborate with embedded, cloud, and product teams to deliver perception capabilities that power real-time threat detection and response.


Location Requirement: Full-time, on-site at Sunnyvale HQ (no relocation provided)


Key Responsibilities

  • Design and own the end-to-end ML pipeline for security perception: data ingestion, annotation, model training, evaluation, and deployment across edge and cloud targets.
  • Develop and deploy computer vision models for real-time security intelligence, spanning detection, tracking, recognition, and classification, on embedded GPU hardware.
  • Build and maintain data flywheel and active learning pipelines that leverage fleet-scale production data to drive continuous model improvement.
  • Optimize and deploy models to edge hardware using TensorRT, INT8/FP16 quantization, and hardware-aware model design for NVIDIA Jetson platforms.
  • Define evaluation frameworks and metrics to measure model performance in production, identify failure modes, and drive reliability improvements.
  • Collaborate with embedded, cloud, and product teams to integrate perception outputs into the security incident pipeline.
  • Support on-robot integration, debugging, and validation in real-world environments


Required Qualifications

  • 5+ years shipping computer vision or ML systems to production in physical security, video analytics, surveillance, automotive, or robotics domains.
  • Deep expertise in one or more areas: object detection, video analytics, multi-camera tracking, audio classification, or edge AI inference.
  • Strong ML engineering in Python and C++ with hands-on experience in PyTorch or TensorFlow, model optimization, and production deployment.
  • Understanding of camera systems, image processing, ISP pipelines, and sensor characteristics as they affect model design and performance.
  • Experience deploying ML models on embedded GPU platforms such as NVIDIA Jetson or equivalent under real-world latency and power constraints.

Preferred Qualifications

  • Experience with GPU-accelerated video analytics frameworks such as NVIDIA DeepStream or equivalent.
  • Familiarity with camera SoC hardware, ISP pipelines, and system-level trade-offs for edge AI.
  • Background in active learning, data flywheel design, or large-scale dataset curation for production CV systems.
  • Familiarity with VLM or multimodal AI approaches for scene understanding and anomaly detection in security contexts.
  • Familiarity with cloud ML infrastructure: training orchestration, model registries, and OTA model deployment for fleet systems.
  • MS or PhD in Computer Science, Electrical Engineering, Machine Learning, or related field.

Compensation & Benefits

  • Base Salary:$175,000 to $210,000 base (DOE)
  • Equity:Stock options
  • Benefits:Medical, dental, vision, 401(k), paid time off
  • Location Requirement:Full-time, on-site at Sunnyvale HQ