This role pays less than
63%
of similar roles. Most pay
$177,300–$246,537
— the shaded band above.
At the midpoint, this role pays about
$196k
versus about
$212k
for comparable roles.
Based on 240 similar postings.
Employer
About Snap Inc.
Snap Inc. is a technology and camera company, best known for Snapchat, offering visual communication, augmented reality, and advertising products.
Snap Inc. currently has
75 open roles
on FindRole.
Listed pay typically runs
$209,000–$313,000
across 65 roles with salary data.
The Computational Imaging Engineer joins the SPECS team to develop image signal processing pipelines for next-generation computational imaging platforms. This role involves collaborating across optics, sensors, computer vision, and compute teams to influence architectural decisions and manage critical trade-offs. The engineer will establish test methodologies, conduct root cause analyses for sensor performance issues, and implement corrective actions. Key responsibilities include developing and optimizing ISP and machine learning algorithms for camera products. Required skills include proficiency in C++, MATLAB, or Python, along with experience in data analysis and leveraging AI models to accelerate workflows. The role focuses on the technical challenges of advanced eyewear and wearable technology, specifically addressing requirements for depth mapping, biometric sensing, and non-traditional sensors like SPADs, event sensors, and neuromorphic sensors within highly constrained hardware environments.
Computer Vision
Machine Learning
C++
Python
PyTorch
SLAM
3D Geometric Computer Vision
Inertial Sensing
Localization
Mapping
Augmented Reality
Algorithm Development
Computer Vision
Machine Learning
C++
Python
PyTorch
TensorFlow
SLAM
VIO
3D Geometry
Signal Processing
Augmented Reality
Event-driven Imaging
Linear Algebra
Probability
Statistics
Computer Vision
Machine Learning
C++
Python
PyTorch
TensorFlow
SLAM
3D Geometry
Signal Processing
Augmented Reality
Event-Driven Imaging
Linear Algebra
Probability
Statistics