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Machine Vision Software Engineer Jobs in Redmond, WA

Define and drive the long-term technical vision and architecture for large-scale systems software ... Experience applying AI and machine learning techniques to database optimization problems, such as ...

Software Engineer

Redmond, WA · On-site

$160K - $210K/yr

As a Software Engineer at Starcloud, you will play a pivotal role in designing, developing, and ... Comprehensive medical, vision, and dental coverage. * 401(k) retirement plan with company match.

Senior Software Engineer

Redmond, WA · On-site

$137K - $180K/yr

They are seeking a Senior Software Engineer with strong experience in embedded systems development ... Interfaces, data pipelines, finite-state machines, diagnostics, and fault handling • Embedded ...

... Machine Learning, Cloud Gaming, Health, Fintech, and Video Streaming. Your work will impact ... We are seeking a Software Engineer with experience in Dataplane development, System Software ...

... Machine Learning, Cloud Gaming, Health, Fintech, and Video Streaming. Your work will impact ... We are seeking a Software Engineer with experience in Dataplane development, System Software ...

Software Engineer, Plant Control

Everett, WA · On-site

$50 - $63.75/hr

As a Software Engineer on the Plant Control team, you will design, build, and scale software ... fusion machines and testbeds • Implement software that supports real-time control, data ...

... and Virtual Machine provisioning. In this role you will: Develop and integrate workflows for ... Health, dental, and vision coverage for you and your dependents * Wellness and commuter stipends ...

For now, this does not include front-end, artificial intelligence, or machine learning development ... Comprehensive benefits package including paid time off, medical/dental/vision/ coverage, life ...

For now, this does not include front-end, artificial intelligence, or machine learning development ... Comprehensive benefits package including paid time off, medical/dental/vision/ coverage, life ...

Flight Software Engineer

Seattle, WA · On-site

$123K - $160K/yr

Design and implement state machines for robust operation of the spacecraft * Author drivers for ... Comprehensive benefits package including paid time off, medical/dental/vision/ coverage, life ...

Design and implement state machines for robust operation of the spacecraft * Author drivers for ... Comprehensive benefits package including paid time off, medical/dental/vision/ coverage, life ...

Experience with image data processing and machine learning * Strong background in math and physics ... You will also receive access to comprehensive medical, vision, and dental coverage, access to a ...

They are seeking a Product (Frontend UX/UI) Software Engineer to design and implement user interfaces for fusion machine operators, enhancing their workflows and operational efficiency.

The company leverages over a decade of advanced research in robotics and machine learning, as well ... Best-in-class healthcare, dental, and vision plans * Unlimited PTO * 401(k) with company match

Software Engineer, Systems ML

Bellevue, WA · On-site

$195K - $231K/yr

Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that.

They are seeking a Staff Software Engineer to lead in developing Machine Learning tooling, solve complex problems, and steer the technical direction of the team. Responsibilities : • Forge the ...

Senior Software Engineer

Redmond, WA · On-site

$140K - $190K/yr

Interfaces, data pipelines, finite-state machines, diagnostics, and fault handling * Embedded ... A choice between two competitive options • Flexible Spending & Health Savings Accounts Vision ...

Showing results 41-60

Machine Vision Software Engineer information

See Redmond, WA salary details

$71.1K

$165.2K

$230.1K

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

As of Aug 23, 2026, the average yearly pay for machine vision software engineer in Redmond, WA is $165,219.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,400.00 and $193,800.00 per year, depending on experience, location, and employer.

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 Redmond, WA?

For Machine Vision Software Engineer jobs in Redmond, WA, the most frequently searched job titles are:

What job categories do people searching Machine Vision Software Engineer jobs in Redmond, WA look for?

The top searched job categories for Machine Vision Software Engineer jobs in Redmond, WA are:

What cities near Redmond, WA are hiring for Machine Vision Software Engineer jobs?

Cities near Redmond, WA with the most Machine Vision Software Engineer job openings:

Infographic showing various Machine Vision Software Engineer job openings in Redmond, WA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $165,219 per year, or $79.4 per hour.

Software Engineer, Databases

Meta

Bellevue, WA

$183K/yr

Full-time

Re-posted 17 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies


Job description

Meta is seeking a Software Engineer specializing in systems software to drive technical direction across large-scale infrastructure and platform engineering. In this role, you will architect and evolve foundational systems — spanning operating system interfaces, runtime environments, distributed infrastructure, and low-level platform services — that underpin Meta's family of products at global scale. You will solve the most complex systems-level challenges across the organization, define multi-year technical strategy for platform reliability and performance, and serve as a force multiplier for engineering teams through deep systems expertise, AI-native workflows, and cross-functional technical leadership.
Software Engineer, Databases Responsibilities:
  • Define and drive the long-term technical vision and architecture for large-scale systems software, including platform services, runtime environments, and low-level infrastructure components
  • Architect systems-level solutions that address performance, reliability, and scalability requirements across distributed infrastructure serving billions of users
  • Identify and resolve the most complex systems-level challenges spanning kernel interfaces, memory management, concurrency, inter-process communication, and distributed coordination
  • Lead the design and implementation of critical platform components, establishing extensible technical foundations and coding standards that improve consistency and velocity across systems engineering teams
  • Develop and operationalize testing frameworks, fault injection strategies, and verification methodologies that prevent systems regressions and improve production reliability at scale
  • Define and track systems-level metrics, service level objectives, and performance guardrails that connect engineering outcomes to organization-wide priorities
  • Leverage AI tooling and automation to accelerate systems development workflows, identify performance bottlenecks, and improve observability and debugging capabilities
  • Partner with infrastructure, product, and platform engineering teams to translate complex systems requirements into durable technical designs, influencing roadmaps across organizational boundaries
  • Drive safe and automated rollout strategies for major systems changes, including phased migrations and dependency coordination across teams
  • Mentor engineers across the organization on systems design principles, performance profiling, debugging methodologies, and low-level platform internals

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience in systems software engineering, including design and implementation of operating system interfaces, runtime environments, distributed infrastructure, or low-level platform services
  • Experience architecting and owning large-scale systems infrastructure used across multiple teams or organizations, including driving multi-year technical roadmaps
  • Experience identifying and resolving complex systems-level performance, reliability, or correctness issues spanning concurrency, memory management, or distributed coordination
  • Experience defining engineering standards, architectural patterns, and verification methodologies that improve systems quality and consistency at scale
  • Experience communicating complex systems architecture and technical strategy in writing and presentations to both technical and non-technical stakeholders

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience leading database migrations, schema evolution, or platform modernization efforts in large-scale production environments
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience with database internals, like storage engines
  • Experience with distributed database systems, consensus protocols (such as Raft or Paxos), or building highly available data infrastructure
  • Experience applying AI and machine learning techniques to database optimization problems, such as query optimization, workload prediction, or automated performance tuning

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$183,997/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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