We’re looking for a Computational Imaging Engineer to join the SPECS team! What you’ll do: • Develop image signal processing (ISP) pipelines for next generation computational imaging platforms • Facilitate cross-functional collaboration across optics, sensors, computer vision, and compute teams • Influence key architectural decisions and drive consensus on critical trade-offs • Develop test methodologies and characterization plans for camera ISP performance • Lead root cause analysis and implement corrective actions for sensor performance issues • Travel up to 15% Knowledge, Skills & Abilities: • Knowledge optics and camera systems for imaging, depth mapping, and biometric sensing • Knowledge of image quality and ISP pipelines • Skills with software development and data analysis (e.g., C++, MATLAB, Python, etc.) • Skills leveraging AI models to accelerate engineering workflows and software development • Ability to work independently and manage internal and external resources • Ability to consider system level impacts and tradeoffs in a highly constrained platform • Ability to analyze, organize and prioritize work while meeting multiple deadlines. • Ability to collaborate and operate in a fast-paced cross-functional environment including engineering teams, vendors, suppliers, and outside resource management. Minimum Qualifications: • Bachelor’s degree in optics, physics, electrical engineering, computer science or related field • 2+ years of experience in computational imaging for computer vision applications • Experience with computational imaging, computer vision, and machine learning for image processing • Experience developing and optimizing ISP and machine learning algorithms for camera products • Experience with non-traditional image sensors including: single photon detectors (e.g. SPADs, jots, SiPMs, etc.), event sensors, neuromorphic sensors, etc. Preferred Qualifications: • PhD or master’s degree in optics, physics, electrical engineering, computer science or related field • 4+ years of experience in designing robust computer vision algorithms for consumer electronics platforms • Experience building camera systems for AR/VR, wearables, or mobile platforms • Experience developing end-to-end camera ISP pipelines designed for edge and/or distributed compute platforms • Experience developing for event based processing • Experience with depth mapping and direct time of flight (dTOF) depth measurement systems • Experience designing algorithms for pixel and sensor level logic "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.  : Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success! Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position.These pay zones may be modified in the future. : The base salary range for this position is $157,000-$235,000 annually. Zone B: The base salary range for this position is $149,000-$223,000 annually. Zone C: The base salary range for this position is $133,000-$200,000 annually. This position is eligible for equity in the form of RSUs.