Sr. Software Development Engineer - Image Quality, RBKS Camera and Imaging
Amazon · Tampere, Finland · Systems, Quality, & Security Engineering
senior
Software Engineer
ic
· Posted Mar 20, 2026
Shape the future of imaging for millions of Ring cameras worldwide. As a Software Development Engineer focused on ISP tuning and Image Quality, you'll
architect solutions that transform raw sensor data into stunning imagery—capturing every critical moment with exceptional clarity, day or night.
You'll work at the intersection of cutting-edge camera technology and real-world impact, optimizing ISP pipelines that directly influence how millions of
users experience their Ring devices. This isn't just parameter tuning—it's solving complex architectural challenges in computational photography, pushing
hardware to its limits, and defining the standards that elevate our entire product portfolio.
Why this role stands apart:
1. Technical depth meets strategic influence: Lead team-level initiatives while shaping cross-functional decisions around camera modes and
imaging functions that ripple across Ring's product ecosystem
2. Innovation at scale: Your tuning methodologies and validation frameworks become the foundation for future products, multiplying your impact
across generations of devices
3. Cutting-edge technology stack: Work with the latest ISP architectures, and AI-enhanced imaging—technologies that are redefining what's
possible in compact surveillance cameras
4. Collaborative excellence: Join Ring's imaging center of excellence where camera architects, firmware engineers, and IQ specialists sit side-by-
side, enabling rapid iteration and deep technical discussions
In our team, you're not isolated—you're surrounded by experts across optics, sensors, ISP, and AI who can sketch solutions on whiteboards within
minutes. The role offers genuine technical leadership: you'll decompose complex image quality challenges, set engineering standards, and mentor others
while maintaining hands-on involvement in the most challenging problems.
The technical challenge: Balance competing constraints—noise vs. sharpness, dynamic range vs. power consumption, real-time processing vs. quality—
across diverse lighting conditions from bright daylight to near-total darkness. Develop systematic approaches that work not just in lab conditions but in
millions of real-world installations.
If you're energized by technical depth, strategic impact, and seeing your innovations deployed at scale, this is your opportunity.
Key job responsibilities
As a Software Development Engineer (L6) focused on ISP tuning and Image Quality, you'll operate as a technical leader driving both execution and
strategy:
Lead Complex Technical Initiatives
-Own end-to-end ISP tuning for Ring camera products, optimizing parameters across the full imaging pipeline (demosaicing, noise reduction,
sharpening, tone mapping, color correction, exposure control, white balance)
-Decompose challenging image quality problems into actionable projects that teams can execute in parallel
-Drive root-cause analysis for complex IQ issues, developing data-driven solutions rather than ad-hoc adjustments
Architect Systematic Solutions
-Design and implement tuning methodologies that become team standards, improving efficiency and consistency across products
-Build automated validation frameworks that scale—creating test protocols that catch edge cases and improve coverage for challenging scenarios
-Develop statistical analysis approaches for objective metrics (SNR, MTF, color accuracy, dynamic range) combined with subjective assessment
protocols
Influence Cross-Functionally
-Partner with firmware engineers, camera architects, and manufacturing teams to optimize the entire imaging system—from sensor characteristics
through ISP processing to final output
-Present technical findings and tuning progress to stakeholders, translating complex trade-offs into clear recommendations
-Contribute to team's technical strategy and multi-generation product planning
Set Engineering Excellence Standards
-Define best practices for ISP parameter optimization that balance image quality with power, performance, and cost constraints
-Create comprehensive documentation so your methodologies benefit future products and team members
-Lead technical reviews and participate in architecture discussions for partner teams' systems
Mentor and Develop
-Guide junior engineers in ISP tuning techniques, systematic problem-solving, and image quality assessment
-Foster innovation culture through knowledge sharing and technical leadership by example
Your background should demonstrate: experience with ISP algorithms and camera control (AE, AWB, AF), proficiency in Python/MATLAB for data
analysis, understanding of objective and subjective IQ metrics, and proven ability to solve complex technical problems with limited guidance while
influencing cross-functional teams.
You'll work with hardware and prototype devices on Amazon premises, with flexible culture where results matter.
A day in the life
You're leading ISP tuning for a new Ring camera launching in six months. Morning starts analyzing overnight automated test results—your validation
framework flagged unexpected color shifts in mixed lighting conditions that weren't caught by standard protocols.
You dive deep: pulling raw sensor data, examining ISP parameter interactions, running statistical analysis to isolate the root cause. It's a complex interplay
between auto white balance and color correction matrices under specific CCT ranges. You design targeted experiments, optimize the parameters, and
validate improvements through both objective metrics and subjective assessment.
Mid-morning, you join an architecture review with the camera team. A firmware engineer proposes changes to the noise reduction pipeline that could
impact your tuning work. You probe the trade-offs, identify potential risks to edge-case performance, and suggest an alternative approach that achieves
their performance goals while maintaining IQ standards. Your systematic analysis helps the team reach consensus.
After lunch, you discover that low-light validation coverage has gaps—certain real-world scenarios aren't adequately tested. You architect a new
automated test suite that improves coverage for challenging lighting conditions, documenting the methodology so it becomes part of the standard
validation process for all future products. This framework will benefit teams across the organization.
You spend time mentoring a junior engineer struggling with exposure control tuning, walking through your systematic approach: understanding the problem
space, identifying key parameters, designing experiments, analyzing results, and iterating. You're not just solving today's problem—you're building the
team's capabilities.
Late afternoon brings a manufacturing call with your offshore partner. Yield data shows unexpected variation in one parameter. You lead the
troubleshooting discussion, decomposing the complex problem into testable hypotheses, and guide the team toward corrective actions that address root
causes rather than symptoms.
You wrap up documenting your tuning methodology improvements and preparing a presentation for stakeholders on progress toward launch targets. Your
work today moved the product forward, elevated team capabilities, and set standards that will scale across the portfolio
About the team
The Camera and Imaging Team is Ring's center of excellence for imaging technology—where we define what makes Ring cameras capture exceptional
imagery. Our team spans Camera Architects, IR/WLED and ALS Designers, IQ TPMs, IQ QA Engineers, and IQ Firmware Engineers.
What makes this team special:
Deep expertise: Accumulated knowledge from junior to principal-level engineers covering the full imaging stack
Collaborative environment: Experts sit together—sketch an idea, get immediate feedback from specialists in optics, sensors, ISP, or AI
Strategic importance: Your work directly shapes the user experience for millions of Ring devices worldwide
Growth trajectory: Expanding team with opportunities to define standards and influence Ring's imaging future
We balance hands-on technical work with strategic thinking, delivering today's products while architecting tomorrow's innovations.
- Deep understanding of image processing pipelines
- Working experience in image quality validation and testing methodologies
- Proficiency with objective image quality metrics (SNR, MTF, color accuracy, dynamic range, etc.)
- Strong analytical skills using Python or MATLAB for data analysis and visualization
- Experience with subjective image quality assessment and test protocol development
- - MSc or equivalent
- - Deep understanding of image processing pipelines
- - Working experience in image quality validation and testing methodologies
- - Proficiency with objective image quality metrics (SNR, MTF, color accuracy, dynamic range, etc.)
- - Strong analytical skills using Python or MATLAB for data analysis and visualization
- - Experience with subjective image quality assessment and test protocol development
- Familiarity with industry-standard image quality test charts and measurement equipment
- Experience working with factory manufacturing and production validation
- Hardware validation and debugging experience
- Understanding of sensor characteristics and raw image processing
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
architect solutions that transform raw sensor data into stunning imagery—capturing every critical moment with exceptional clarity, day or night.
You'll work at the intersection of cutting-edge camera technology and real-world impact, optimizing ISP pipelines that directly influence how millions of
users experience their Ring devices. This isn't just parameter tuning—it's solving complex architectural challenges in computational photography, pushing
hardware to its limits, and defining the standards that elevate our entire product portfolio.
Why this role stands apart:
1. Technical depth meets strategic influence: Lead team-level initiatives while shaping cross-functional decisions around camera modes and
imaging functions that ripple across Ring's product ecosystem
2. Innovation at scale: Your tuning methodologies and validation frameworks become the foundation for future products, multiplying your impact
across generations of devices
3. Cutting-edge technology stack: Work with the latest ISP architectures, and AI-enhanced imaging—technologies that are redefining what's
possible in compact surveillance cameras
4. Collaborative excellence: Join Ring's imaging center of excellence where camera architects, firmware engineers, and IQ specialists sit side-by-
side, enabling rapid iteration and deep technical discussions
In our team, you're not isolated—you're surrounded by experts across optics, sensors, ISP, and AI who can sketch solutions on whiteboards within
minutes. The role offers genuine technical leadership: you'll decompose complex image quality challenges, set engineering standards, and mentor others
while maintaining hands-on involvement in the most challenging problems.
The technical challenge: Balance competing constraints—noise vs. sharpness, dynamic range vs. power consumption, real-time processing vs. quality—
across diverse lighting conditions from bright daylight to near-total darkness. Develop systematic approaches that work not just in lab conditions but in
millions of real-world installations.
If you're energized by technical depth, strategic impact, and seeing your innovations deployed at scale, this is your opportunity.
Key job responsibilities
As a Software Development Engineer (L6) focused on ISP tuning and Image Quality, you'll operate as a technical leader driving both execution and
strategy:
Lead Complex Technical Initiatives
-Own end-to-end ISP tuning for Ring camera products, optimizing parameters across the full imaging pipeline (demosaicing, noise reduction,
sharpening, tone mapping, color correction, exposure control, white balance)
-Decompose challenging image quality problems into actionable projects that teams can execute in parallel
-Drive root-cause analysis for complex IQ issues, developing data-driven solutions rather than ad-hoc adjustments
Architect Systematic Solutions
-Design and implement tuning methodologies that become team standards, improving efficiency and consistency across products
-Build automated validation frameworks that scale—creating test protocols that catch edge cases and improve coverage for challenging scenarios
-Develop statistical analysis approaches for objective metrics (SNR, MTF, color accuracy, dynamic range) combined with subjective assessment
protocols
Influence Cross-Functionally
-Partner with firmware engineers, camera architects, and manufacturing teams to optimize the entire imaging system—from sensor characteristics
through ISP processing to final output
-Present technical findings and tuning progress to stakeholders, translating complex trade-offs into clear recommendations
-Contribute to team's technical strategy and multi-generation product planning
Set Engineering Excellence Standards
-Define best practices for ISP parameter optimization that balance image quality with power, performance, and cost constraints
-Create comprehensive documentation so your methodologies benefit future products and team members
-Lead technical reviews and participate in architecture discussions for partner teams' systems
Mentor and Develop
-Guide junior engineers in ISP tuning techniques, systematic problem-solving, and image quality assessment
-Foster innovation culture through knowledge sharing and technical leadership by example
Your background should demonstrate: experience with ISP algorithms and camera control (AE, AWB, AF), proficiency in Python/MATLAB for data
analysis, understanding of objective and subjective IQ metrics, and proven ability to solve complex technical problems with limited guidance while
influencing cross-functional teams.
You'll work with hardware and prototype devices on Amazon premises, with flexible culture where results matter.
A day in the life
You're leading ISP tuning for a new Ring camera launching in six months. Morning starts analyzing overnight automated test results—your validation
framework flagged unexpected color shifts in mixed lighting conditions that weren't caught by standard protocols.
You dive deep: pulling raw sensor data, examining ISP parameter interactions, running statistical analysis to isolate the root cause. It's a complex interplay
between auto white balance and color correction matrices under specific CCT ranges. You design targeted experiments, optimize the parameters, and
validate improvements through both objective metrics and subjective assessment.
Mid-morning, you join an architecture review with the camera team. A firmware engineer proposes changes to the noise reduction pipeline that could
impact your tuning work. You probe the trade-offs, identify potential risks to edge-case performance, and suggest an alternative approach that achieves
their performance goals while maintaining IQ standards. Your systematic analysis helps the team reach consensus.
After lunch, you discover that low-light validation coverage has gaps—certain real-world scenarios aren't adequately tested. You architect a new
automated test suite that improves coverage for challenging lighting conditions, documenting the methodology so it becomes part of the standard
validation process for all future products. This framework will benefit teams across the organization.
You spend time mentoring a junior engineer struggling with exposure control tuning, walking through your systematic approach: understanding the problem
space, identifying key parameters, designing experiments, analyzing results, and iterating. You're not just solving today's problem—you're building the
team's capabilities.
Late afternoon brings a manufacturing call with your offshore partner. Yield data shows unexpected variation in one parameter. You lead the
troubleshooting discussion, decomposing the complex problem into testable hypotheses, and guide the team toward corrective actions that address root
causes rather than symptoms.
You wrap up documenting your tuning methodology improvements and preparing a presentation for stakeholders on progress toward launch targets. Your
work today moved the product forward, elevated team capabilities, and set standards that will scale across the portfolio
About the team
The Camera and Imaging Team is Ring's center of excellence for imaging technology—where we define what makes Ring cameras capture exceptional
imagery. Our team spans Camera Architects, IR/WLED and ALS Designers, IQ TPMs, IQ QA Engineers, and IQ Firmware Engineers.
What makes this team special:
Deep expertise: Accumulated knowledge from junior to principal-level engineers covering the full imaging stack
Collaborative environment: Experts sit together—sketch an idea, get immediate feedback from specialists in optics, sensors, ISP, or AI
Strategic importance: Your work directly shapes the user experience for millions of Ring devices worldwide
Growth trajectory: Expanding team with opportunities to define standards and influence Ring's imaging future
We balance hands-on technical work with strategic thinking, delivering today's products while architecting tomorrow's innovations.
Basic Qualifications
- MSc or equivalent- Deep understanding of image processing pipelines
- Working experience in image quality validation and testing methodologies
- Proficiency with objective image quality metrics (SNR, MTF, color accuracy, dynamic range, etc.)
- Strong analytical skills using Python or MATLAB for data analysis and visualization
- Experience with subjective image quality assessment and test protocol development
- - MSc or equivalent
- - Deep understanding of image processing pipelines
- - Working experience in image quality validation and testing methodologies
- - Proficiency with objective image quality metrics (SNR, MTF, color accuracy, dynamic range, etc.)
- - Strong analytical skills using Python or MATLAB for data analysis and visualization
- - Experience with subjective image quality assessment and test protocol development
Preferred Qualifications
- Experience with automated image quality testing frameworks and tools- Familiarity with industry-standard image quality test charts and measurement equipment
- Experience working with factory manufacturing and production validation
- Hardware validation and debugging experience
- Understanding of sensor characteristics and raw image processing
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.