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Camera Systems Engineer Jobs in Seattle, WA (NOW HIRING)

Meta

Camera Architect

Redmond, WA · On-site

$173K/yr

MS or PhD in Optical Engineering, Electrical Engineering, Physics, or a related discipline (or BS + equivalent depth of experience) * 8+ years in camera/imaging system architecture or design, with ...

Infotech Sourcing

Systems Engineer V

Kirkland, WA · On-site

Infrastructure Engineering - Systems Engineer V Location: US - WA - Redmond Duration: 6 months with ... camera optics and acquisition settings Experience with VR or AR systems Data analysis and ...

Infotech Sourcing

Systems Engineer V

Kirkland, WA · On-site

Infrastructure Engineering - Systems Engineer V Location: US - WA - Redmond Duration: 6 months with ... camera optics and acquisition settings Experience with VR or AR systems Data analysis and ...

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

Our AI-powered camera systems mount to tractors and scan millions of trees, vines, and plants ... We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ...

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

Our AI-powered camera systems mount to tractors and scan millions of trees, vines, and plants ... We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ...

Outpost

Senior Edge Systems Engineer (SEA)

Seattle, WA · Remote

$107K - $146K/yr

We need a Senior Edge Systems Engineer to own the architecture of our kiosks, edge compute systems, networking, power, cameras, access systems, and other on-site technology--from initial design and ...

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All JobsCamera Systems Engineer JobsCamera Systems Engineer Jobs in Seattle, WA

Camera Systems Engineer information

See Seattle, WA salary details

$12.5K

$153.7K

How much do camera systems engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for camera systems engineer in Seattle, WA is $150,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,900.00 and $153,700.00 per year, depending on experience, location, and employer.

What does a camera systems engineer do?

A Camera Systems Engineer designs, develops, and optimizes imaging systems for applications like photography, videography, automotive, robotics, or medical devices. They work with optics, sensors, image processing, and hardware to ensure high-quality performance. Their role may include sensor calibration, lens selection, firmware development, and system integration. They collaborate with software engineers, researchers, and product teams to enhance camera functionality. This position requires expertise in image processing, optics, and embedded systems.

What are the key skills and qualifications needed to thrive as a camera systems engineer?

To thrive as a Camera Systems Engineer, you need solid knowledge of imaging technology, optical systems, electronics, and embedded software development, often backed by a degree in electrical engineering or a related field. Familiarity with image processing tools (e.g., MATLAB, OpenCV), camera calibration software, and common hardware prototyping platforms is typically expected. Strong problem-solving abilities, effective teamwork, and clear communication are important soft skills in this role. These competencies are essential for designing, optimizing, and troubleshooting advanced camera systems that meet both technical and user requirements.

What are common projects or responsibilities of a camera systems engineer?

Camera Systems Engineers are frequently involved in designing, prototyping, and testing camera modules or imaging systems for products such as smartphones, autonomous vehicles, or surveillance equipment. This often includes tasks like image quality analysis, debugging hardware and software integration issues, and collaborating with cross-functional teams including hardware, software, and product managers. Engineers may also write documentation, run regression tests, and support manufacturing teams during product ramp-up. The role is dynamic and highly collaborative, offering opportunities to solve complex technical challenges and contribute to innovative product development.

What are popular job titles related to Camera Systems Engineer jobs in Seattle, WA?

For Camera Systems Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Camera Systems Engineer jobs in Seattle, WA look for?

The top searched job categories for Camera Systems Engineer jobs in Seattle, WA are:

Camera Systems Engineer jobs near you
Infographic showing various Camera Systems Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 4% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $150,239 per year, or $72.2 per hour.

Camera Architect

Meta

Redmond, WA • On-site

$173K/yr

Full-time

Posted 16 days ago

Key responsibilities

  • Define and own the end-to-end imaging architecture of camera subsystems for Meta's AR and VR products.

  • Drive hardware trade-off decisions, establish camera-level requirements, and develop system-level choices to integrate components into a coherent imaging solution.

  • Translate product features and workload requirements into hardware specifications and collaborate with cross-functional teams to ensure camera subsystem performance.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies

Job description

As a Camera Architect you will define and own the end-to-end imaging architecture of camera subsystems — single-camera or multi-camera — for Meta's AR and VR product lines, serving photography, computer vision, and contextual-AI feature pipelines. Working alongside dedicated sensor, lens, and module design teams, you will drive the foundational HW trade-off decisions about how these elements come together into a coherent imaging solution — defining camera-level requirements, performance targets, and the system-level choices (focus/stabilization strategy, spatial layout, calibration approach, power budgets, imaging KPIs) that shape how individual components integrate to deliver product features. You will maintain a strong line-of-sight to the end-to-end imaging and AI-feature pipelines so that architecture decisions directly enable day-0 commitments for both capture quality and on-device intelligence.
Camera Architect Responsibilities:
  • Define and defend the camera subsystem architecture — whether a single camera or a multi-camera system — driving how sensors, lenses, actuators, and modules integrate into a coherent imaging solution. This includes focus strategy (fixed-focus vs. AF), image stabilization approach (OIS, EIS-friendly design, hybrid), camera placement geometry, and calibration methodology. The architecture must serve photography use cases
  • computer vision workloads and contextual-AI features
  • Distill a broad, often competing set of requirements — from product, system, software, and feature teams — into the smallest option space the team can realistically execute - finding the minimal camera system that satisfies the feature set while resisting HW complexity beyond what the features actually require
  • Drive sensor-level and imaging-performance trade studies (resolution, pixel size, sensitivity/SNR, dynamic range, frame rate, power, size, cost
  • fixed-focus depth-of-field vs. AF complexity
  • rolling vs. global shutter
  • Define the metrics and figures of merit that connect product features and user experiences to underlying camera HW performance. Establish quantitative linkage between feature KPIs (e.g., photo quality, video stabilization, ML model accuracy, tracking robustness, passthrough latency) and camera HW specs (MTF, SNR, dynamic range, frame sync, motion blur, FoV), and build the data-driven case for recommended camera selections and generational improvements
  • Translate product features across those workload classes into component- and module-level HW specifications — optical performance, module thermal envelope, power budget, data rates, interfaces, multi-camera synchronization/timestamping, and calibration tolerances that support factory-scale manufacturing
  • Partner with silicon architecture teams on ISP and sensor-companion-chip requirements, influencing HW/FW partitioning decisions that affect camera subsystem performance, power, and feature enablement (3A, actuator control, frame timing, AI pre-processing)
  • Communicate technical details, risks, and pathways to success across a product stack and with cross-functional teams
  • Ability to travel domestically and internationally up to 10%

Minimum Qualifications:
  • MS or PhD in Optical Engineering, Electrical Engineering, Physics, or a related discipline (or BS + equivalent depth of experience)
  • 8+ years in camera/imaging system architecture or design, with direct ownership of HW specification, trade-off analysis, and architecture decisions at the camera-system level
  • Experience architecting complete imaging systems from first-principles physics, optics, and sensor science — making defensible trade-offs and reasoning to the theoretical upper bound of what is achievable, even without deep specialization in any one component technology
  • Experience driving architecture-level trade-offs across image sensor technology (CMOS, BSI/stacked, global shutter, HDR) and camera module design (lens, AF/OIS actuator systems, packaging, active alignment) in partnership with specialist teams
  • Experience building the quantitative, data-driven case for camera architecture decisions — defining metrics and figures of merit that link camera HW performance to feature quality across photography, computer vision and AI/ML

Preferred Qualifications:
  • Working understanding of signal processing and computational photography principles — enough to identify where HW innovation hits diminishing returns and SW/algorithm optimization is more cost-effective
  • Experience modeling camera image quality end-to-end from hardware modules through ISP and S/W pipelines to analyze key performance indicators and inform architectural decisions based on trade-offs
  • Experience co-defining camera HW requirements with ISP, ML/AI and CV teams
  • Experience with product managers and industrial design teams in translating product vision into requirements through multiple product cycles
  • Track record of proactively shaping product roadmaps through technical foresight and analysis into actionable recommendations for leadership
  • Experience influencing key partners, internal and external, on roadmap and technology development

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.
$173,000/year to $245,000/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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