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Computer Vision Software Engineer Jobs in California

Reliance One

Computer Vision Engineer

Mountain View, CA · On-site

$70 - $75/hr

Collaborate with researchers, software engineers, and systems engineers to deliver innovative AI solutions. * Stay current with advancements in computer vision, multimodal AI, edge AI, and ...

Divergent

Senior Software Engineer, Robotics

Torrance, CA · On-site

$127K - $168K/yr

... plus computer vision in robotic systems. As a key member of our team, you will contribute to the ... with other software products. * Collaborate with senior engineers to understand project ...

Anduril Industries

Computer Vision Engineer

Costa Mesa, CA · On-site

$118K - $139K/yr

The Computer Vision Engineer will develop advanced perception systems for autonomous aerial ... closely with robotics, software, and hardware teams to integrate perception algorithms into ...

Anduril Industries

Computer Vision Engineer

Costa Mesa, CA · On-site

$191K - $253K/yr

Collaborate closely with robotics, software, and hardware teams to integrate perception algorithms ... Experience with GPU / CUDA programming for accelerated computer vision processing. US Salary Range ...

Anduril Industries

Computer Vision Engineer

Costa Mesa, CA · On-site

$191K - $253K/yr

Collaborate closely with robotics, software, and hardware teams to integrate perception algorithms ... Experience with GPU / CUDA programming for accelerated computer vision processing. US Salary Range ...

Qualcomm

Computer Vision Architect

San Diego, CA · On-site

The Computer Vision Architect will lead the design and implementation of computer vision features ... years of Software Engineering, Hardware Engineering, Systems Engineering, or related work ...

EE Recruiters

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

... Computer Vision. We are looking for excellent problem solvers to: * Contribute to multi-sensor data ... Build software infrastructure for large scale data storage and processing on AWS * Communicate ...

Meta

Computer Vision Engineer

Sunnyvale, CA

$183K/yr

In this role, you will be researching and applying a range of software, computer vision, and ... Computer Vision Engineer Responsibilities: * Lead the productization of CVML models for Surface ...

Meta

Computer Vision Engineer

Burlingame, CA

$183K/yr

In this role, you will be researching and applying a range of software, computer vision, and ... Computer Vision Engineer Responsibilities: * Lead the productization of CVML models for Surface ...

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All JobsComputer Vision Software Engineer JobsComputer Vision Software Engineer Jobs in California

Computer Vision Software Engineer information

See California salary details

$62.7K

$145.6K

$202.8K

How much do computer vision software engineer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for computer vision software engineer in California is $145,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $170,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Computer Vision Software Engineer, you need strong programming skills (particularly in Python or C++), a solid background in mathematics and algorithms, and a degree in computer science or a related field. Experience with deep learning frameworks (such as TensorFlow or PyTorch), OpenCV, and familiarity with computer vision libraries and cloud platforms is highly valuable. Creative problem-solving, attention to detail, and effective teamwork are standout soft skills in this role. These skills and qualities are crucial for developing, optimizing, and deploying innovative computer vision solutions that address real-world challenges.

What is the difference between Computer Vision Software Engineer vs Machine Learning Engineer?

AspectComputer Vision Software EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, often in tech, automotive, or healthcare industriesBuilds models for various data types, including images, text, and tabular data, across multiple industries
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, startups, research institutions

While both roles involve machine learning concepts, Computer Vision Software Engineers focus specifically on image and video data, developing algorithms for visual understanding. Machine Learning Engineers have a broader scope, working on various data types and models. The roles often overlap but differ mainly in their specialization and application areas.

What are some common challenges Computer Vision Software Engineers face when deploying models to production environments?

One frequent challenge for Computer Vision Software Engineers is optimizing models to run efficiently in production, especially on devices with limited processing power or memory. Additionally, ensuring that models remain robust when exposed to real-world data—which may differ significantly from training data—requires ongoing monitoring and potential retraining. Collaboration with data engineers and DevOps teams is often essential to streamline deployment pipelines and address issues like data drift or latency. Staying updated with rapidly evolving frameworks and hardware accelerators is also key for success in this role.

What are Computer Vision Software Engineers?

Computer Vision Software Engineers are professionals who design, develop, and implement software solutions that enable computers to interpret and process visual information from the world, such as images and videos. They use techniques from machine learning, artificial intelligence, and image processing to build applications like facial recognition, object detection, and autonomous vehicles. Their work often involves programming, working with large datasets, and optimizing algorithms for accuracy and speed. These engineers are crucial in industries ranging from healthcare and automotive to security and entertainment.
What are popular job titles related to Computer Vision Software Engineer jobs in California? For Computer Vision Software Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Computer Vision Software Engineer jobs in California look for? The top searched job categories for Computer Vision Software Engineer jobs in California are:
What cities in California are hiring for Computer Vision Software Engineer jobs? Cities in California with the most Computer Vision Software Engineer job openings:
Computer Vision Software Engineer jobs near you
Infographic showing various Computer Vision Software Engineer job openings in California as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $145,592 per year, or $70 per hour.
Senior Software Engineer, Computer Vision

Senior Software Engineer, Computer Vision

Knightscope, Inc.

Sunnyvale, CA • On-site

$175K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago

Job description

About Knightscope
Knightscope is a security technology company building the Nation's First Autonomous Security Force. The Company combines autonomous machines, advanced software, and human expertise to help protect people, property, and critical infrastructure. Knightscope's 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

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