Snap
Computational Imaging Engineer
$133K–$235K
Boulder, Colorado +2 · Full-time · Posted Oct 20, 2026
- Location
- Boulder, Colorado
Palo Alto, California
Los Angeles, California - Experience
- 2+ years required; 4+ years preferred for designing robust computer vision algorithms for consumer electronics platforms.
- Education
- Bachelor’s degree in optics, physics, electrical engineering, computer science or related field; PhD or master’s degree preferred.
About the job
Develop image signal processing pipelines and camera performance methods for next-generation computational imaging platforms on the SPECS team.
What you'll do
- Develop ISP pipelines and test methodologies for camera performance.
- Collaborate across optics, sensors, computer vision, and compute teams; influence architecture and trade-offs.
- Analyze sensor performance issues, identify root causes, and implement corrective actions.
What they ask for
- 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; developing and optimizing ISP and machine learning algorithms for camera products.
- Experience with non-traditional image sensors, including single photon detectors, event sensors, or neuromorphic sensors.
Nice to have
- PhD or master’s degree in a related field; 4+ years designing robust computer vision algorithms for consumer electronics platforms.
- Experience with camera systems for AR/VR, wearables, or mobile platforms; end-to-end ISP pipelines for edge or distributed compute; event-based processing; depth mapping and dTOF; or pixel- and sensor-level logic.
Pay
$157,000-$235,000 annually (USD, base salary); $149,000-$223,000 annually (USD, base salary); $133,000-$200,000 annually (USD, base salary)
Tools
C++, MATLAB, Python, ISP, SPADs, jots, SiPMs, dTOF
AI focus
Use AI models to accelerate engineering workflows and software development; develop and optimize machine-learning algorithms for image processing.
Model-written summary · the original posting is authoritative