Image Processing Engineer

Aftershoot; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Remote-friendly

Startup culture

English proficiency

Job summary

Aftershoot is building AI-powered tools to help photographers post-process faster and more creatively. We’re seeking a graphics-focused engineer to turn raw sensor data into stunning images and to write GPU code for rapid processing across RAW and non-RAW pipelines.

You will design and optimize RAW image processing, tone mapping, sharpening, and denoising; evaluate approaches, run proofs of concept, and collaborate with product and design to balance quality and speed.

Qualifications

• Deep, hands-on understanding of RAW image processing and color science with a focus on tone mapping.
• Experience with advanced sharpening and classical denoising for RAW images.
• Ability to scope research questions, build proofs of concept, and evaluate results for quality and performance.
• GPU programming experience in CUDA, OpenCL, WGSL, or similar.
• Knowledge of Local Laplacian Filters and edge-aware tone mapping.
• Experience with image processing techniques such as style transfer or interactive tone/color adjustments.

Responsibilities

• Design, implement, and improve RAW and non-RAW image processing algorithms across the pipeline.
• Research candidate approaches, build proof-of-concept implementations, and evaluate quality objectively and subjectively before committing to integration.
• Profile and optimize existing algorithms, primarily GPU-bound, against latency and throughput targets.
• Make and defend quality-vs-performance tradeoffs, and communicate them to product and design stakeholders.

Skills

RAW image processing

Color science

Tone mapping

Sharpening & denoising

GPU programming

CUDA/OpenCL/WGSL

Tools

CUDA

OpenCL

WGSL

Job description

At Aftershoot , we’re building more than just AI tools. We’re creating a global community of photographers who spend less time behind their screens and more time behind the lens. Every feature we craft, every update we release, makes post-processing easier, faster, and smarter for photographers everywhere. From culling to editing to retouching, our AI does the heavy lifting so photographers can focus on what they do best: capturing moments, telling stories, and creating magic. We’re a fast-growing, passionate team trusted by over 100K+ active users globally. And we’re just getting started. Our mission is clear: solve the biggest pain points in photography and grow alongside the photographers who use our tools daily. If you care about building products that matter, thrive when working with curious, driven teammates, and want to shape how photographers work in the future, we’d love to meet you. Let’s create the future of AI in photography together. We are hiring for Full time & part time positions.

Your Mission

Build the engine behind beautiful photographs. From turning raw sensor data into stunning images to writing GPU code that makes it all happen at lightning speed.

What You Will Be Doing

• Design, implement, and improve RAW and non-RAW image processing algorithms across the pipeline.
• Research candidate approaches, build proof-of-concept implementations, and evaluate quality objectively and subjectively before committing to integration.
• Profile and optimize existing algorithms, primarily GPU-bound, against latency and throughput targets.
• Make and defend quality-vs-performance tradeoffs, and communicate them to product and design stakeholders.

What We’re Looking For

• Deep, hands‑on understanding of RAW image processing and the underlying color science, with a focus on tone mapping algorithms.
• Experienced on advanced sharpening and classical (non-ML) denoising for RAW images.
• Ability to independently scope research questions, build POCs, and evaluate results, focusing on quality and performant solutions.
• GPU programming experience in any of the most common frameworks and languages (CUDA/OpenCL/WGSL, etc..).
• Tone mapping, particularly Local Laplacian Filters and related edge‑aware operators & ML‑based tone mapping.
• Image processing more broadly, such as style transfer or user interactive tone/color adjustments. Both with ML or algorithmic approaches.

Bonus Points

• Experience working with a remote team.
• Experience working at a fast based organisation/start-up.
• Proficient in English.

You will work with:

Team : Harshit, Hardik,Davide, Himanshu, Aakansha