Systems Engineer, Cameras/Imaging

Job Description

Job Description

Our mission at DigitalFish is to help our customers derive transformative value across their organizations by building next-generation technologies that define the future of digital-media creation and consumption for millions of users.

We have partnered with leading digital media companies, and are at the center of their efforts to build a new generation of platforms and experiences. Current and past customers include Apple, Google, Meta, Disney, DreamWorks, Activision, Technicolor, ESPN, LEGO, NASA and many others. 

THE ROLE

As part of a small and dynamic team, you'll play a pivotal role in developing imaging technology for camera capture while creating augmented reality experiences that enhance human perception. The scope of these projects will encompass camera color processing, developing features related to human color perception, and prototyping with tools like Unity/Blender for object rendering.

WHAT YOU'LL DO

• Develop perceptual features that enhance MR/AR realism by modeling human vision and color perception
• Research and develop computer vision and machine learning algorithms for photographic imaging processing
• Build platforms for objective and subjective evaluation of virtual object rendering using psychophysical methods
• Design and implement real-time display color processing pipelines leveraging GPU, CPU/MCU, or hardware-accelerated resources.
• Prototype MR/AR demos using Python, MATLAB, Blender, Unity, and C#
• Research and develop computer vision and machine learning algorithms for ambient light estimation and photorealistic object rendering
• Work with cross-functional teams and provide leadership and expertise for new project development and productization

WHO YOU ARE

• MS/PhD degree in Computer Science, Imaging Science, Image Processing, Computer Vision, or related fields
• Background in image processing and computer vision
• Proficient in programming languages such as Python and C++
• Experience with 3D tools such as Unity, Blender and Maya*
• Hands-on experience in camera or display pipelines for embedded systems, mobile devices, or Android platforms.
• Strong background in user experience, machine learning, computer vision, VR & AR
• Strong communication skills for working with cross-functional teams
• Understanding of light sensor, image sensor, camera and display hardware systems*
• Experience in 3D computer graphics, lighting and shading*
• Proof of eligibility to work in the United States

COMPENSATION & BENEFITS

• The annual compensation includes equity (per qualifications)
• The annual salary range for this position is $125,000 to $150,000 plus equity (per qualifications)
• The base pay offered will take into account internal parity, job-related knowledge, skills, and experience among other factors
• Health Insurance - Medical, Dental, Vision and Life Insurance
• Discounts on movie tickets, theme parks, hotels, Broadway and Vegas shows, shopping partners & more
• Flexible working environment and more!

ADDITIONAL INFO

DigitalFish is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined to ensure that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law.

DigitalFish may share your personal information and resume with trusted partners only as necessary to help facilitate your employment journey.

DigitalFish is not able to sponsor immigration petitions for this role at this time.

All applicants must have the right to work in the United States.

We look forward to hearing from you!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.