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Machine Vision Software Engineer Jobs in California

By combining computer vision, image processing and machine learning, you'll develop custom models ... Excellent software engineering skills in C++ and Python * Strong DNN/ML background and experience ...

Senior Software Engineer, Eye Tracking

San Jose, CA · On-site

$143K - $189K/yr

... programming languages (C ) * 3 years of experience testing, maintaining, or launching software ... Vision software. * Experience with Machine learning and Data science. * Experience with camera ...

The Software Engineer will support the Reverse Engineering, Science, and Technology for ... Experience supporting Machine Learning, Computer Vision, or data science workflows. Familiarity ...

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Machine Vision Software Engineer information

What does a Machine Vision Software Engineer do?

A Machine Vision Software Engineer designs, develops, and maintains software systems that enable computers to interpret and process visual information from the real world. They work with cameras, sensors, and advanced algorithms to automate tasks such as inspection, identification, measurement, and guidance in industrial and robotics applications. Their responsibilities often include integrating hardware with software, optimizing image processing algorithms, and ensuring the accuracy and reliability of vision systems. These engineers play a crucial role in industries like manufacturing, automotive, healthcare, and logistics where automated visual inspection and analysis are essential.

What are some of the main challenges Machine Vision Software Engineers face when integrating vision systems into manufacturing environments?

Machine Vision Software Engineers often encounter challenges such as ensuring reliable image capture despite varying lighting conditions and accommodating different types of defects or product variations. Integrating vision systems with existing automation hardware and production lines can require close collaboration with mechanical, electrical, and process engineers. Additionally, optimizing algorithms for real-time performance while maintaining high accuracy is a frequent necessity. Continuous testing and iterative development are key to addressing these challenges and delivering robust solutions in dynamic manufacturing settings.

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

To thrive as a Machine Vision Software Engineer, you need a solid background in computer science, image processing, and mathematics, usually backed by a relevant degree. Familiarity with programming languages such as Python or C++, machine vision libraries like OpenCV, and experience with deep learning frameworks are typically required. Strong problem-solving, attention to detail, and effective communication skills help engineers design robust solutions and collaborate with multidisciplinary teams. These competencies are crucial for developing accurate, efficient vision systems that meet real-world automation and quality control demands.

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

AspectMachine Vision Software EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in CS, EE, or related; experience with image processingBachelor's or Master's in CS, EE, or related; strong programming skills in Python, C++
Work EnvironmentManufacturing, robotics, quality inspectionAutonomous vehicles, AI research, multimedia applications
Industry UsageManufacturing, industrial automation, roboticsTech, automotive, research institutions
Search & Comparison IntentFocus on industrial and automation applicationsFocus on AI, perception, and multimedia systems

While both roles involve image analysis and programming skills, Machine Vision Software Engineers primarily work on industrial automation and manufacturing systems, whereas Computer Vision Engineers focus on AI-driven perception in autonomous vehicles, robotics, and multimedia applications. The roles overlap in skills but differ in application environments and industry focus.

What are popular job titles related to Machine Vision Software Engineer jobs in California? For Machine Vision Software Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Vision Software Engineer jobs in California look for? The top searched job categories for Machine Vision Software Engineer jobs in California are:
What cities in California are hiring for Machine Vision Software Engineer jobs? Cities in California with the most Machine Vision Software Engineer job openings:
Software Engineer: Perception

Software Engineer: Perception

Lodestar

Los Angeles, CA

$140K - $180K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

About Lodestar

Lodestar's mission is to develop the first "Protect and Defend" capability for high-value space assets in orbit. Our flagship product MITHRIL is the critical hardware & software necessary to augment any off-the-shelf spacecraft with the ability to autonomously detect, characterise, and reversibly neutralise orbital threats. By building on the proven space heritage of our best-in-class satellite-bus partners and fully integrating MITHRIL as a single platform, we deliver a fully autonomous end-to-end protection spacecraft service.

About the Job

As a Software Engineer - Perception at Lodestar, you'll be joining the perception and machine vision teams to rapidly grow our vision and perception models at MITHRIL's center. You'll focus on researching and building algorithms to detect, classify and understand unknown space targets in real-time. By combining computer vision, image processing and machine learning, you'll develop custom models - providing the foundation for autonomous decision-making in complex and uncertain space environments.

We proudly have an "extreme ownership" oriented engineering culture. 


What You'll Do
  • Scoping architecture for the perception system core to Lodestar's autonomy software suite
  • Research and adapt novel perception algorithms - everything from lit. review, through training and evaluation, to optimisation and deployment
  • Design, develop ML algorithms from the ground up, in addition to build on and optimizing our existing models for edge computing
  • Further develop our robust methods for predicting relative pose of dynamic space targets in harsh and unpredictable visual environments
  • Integrate perception models into mission simulation environments and real-time autonomy pipelines
  • Contribute to the design of realistic sensor models and digital twins to improve perception fidelity in mission scenarios
  • Own perception tooling, model training infrastructure, and evaluation frameworks for ongoing development and deployment
  • Collaborate across autonomy, estimation, and mission software teams to ensure perception fidelity, performance, and scalability

Basic Qualifications
  • Bachelor's or Master's degree in, AI/ML, Computer Science, Robotics, a related field, or equivalent experience
  • 2+ years of distinguished industry experience in Machine Learning, robotics, computer vision, or a related field
  • Excellent software engineering skills in C++ and Python
  • Strong DNN/ML background and experience in CV and image processing libraries (OpenCV, CUDA-accelerated vision, PCL)
  • Broad understanding of modern perception systems and their architecture
  • Experience developing and deploying ML models to real-time systems
Preferred Skills & Experience
  • Experience processing sensor measurements from a variety of sensors including RADAR, electro-optical sensors, RF sensors, or LIDAR
  • Familiarity with image processing techniques (e.g., feature extraction, segmentation, filtering, stereo matching) to support 3D reconstruction and target classification
  • Track record optimizing neural networks and geometric algorithms using CUDA kernels, TensorRT, or other GPU acceleration frameworks
  • Experience with distributed training and cloud-based scaling of ML models (AWS, GCP, or Azure)
  • Experience with Linux, Git, and CI/CD pipelines
  • Comfortable with containerization tools such as Docker and Kubernetes
  • Strong understanding of networking and communication protocols for distributed autonomy systems

ITAR Requirements

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.


Compensation & Benefits
  • Pay Range:
    • (E1) Junior Software Engineer: $115,000 - $140,000 / year
    • (E2) Software Engineer: $140,000 - $180,000 / year
    • (E3) Senior Software Engineer: Competitive
  • Meaningful equity incentives as part of our employee option pool
  • Flexible PTO with generous paid vacation, holidays, and sick leave
  • Comprehensive medical, dental & vision coverage
  • 401(k) retirement plan with company match
  • Los Angeles

Additional Information

Compensation bands are determined by role, level, location, and alignment with market data. Individual level and base pay is determined on a case-by-case basis and may vary based on job-related skills, education, experience, technical capabilities and internal equity. In addition to base salary, for full-time hires, you may also be eligible for long-term incentives, in the form of stock options , and access to medical, vision and dental coverage, as well as access to a 401(k) retirement plan.

Lodestar is an Equal Opportunity Employer; employment with Lodestar is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.