---
title: 'Software Engineer, AI Inference / HPC at Topaz Labs'
canonical: 'https://feeny.ai/job/software-engineer-ai-inference-hpc-topaz-labs-dallas-fsgyg99aez4g'
type: 'job'
last_seen: '2026-09-08'
---

# Software Engineer, AI Inference / HPC at Topaz Labs

- **Company:** Topaz Labs
- **Location:** Dallas, TX
- **Compensation:** $110k–$150k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-03-05
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.lever.co/topazlabs/64c09f71-41a7-493c-966d-cbac83113533

## Job description

54,000 new photos are taken every second, and 600 hours of video are uploaded every minute. At Topaz Labs, we help over 1 million paying customers (including teams at Google, Nvidia, and NASA) maximize the visual quality of over 1 billion of these photos and videos.

## About us

Topaz Labs is a full-stack AI company that develops, trains, and deploys generative AI models for image and video enhancement. We’re the best in the world at improving image and video quality, and produce several award-winning desktop products that millions of people rely on.

## About the role

As a Software Engineer supporting our AI Engine, you would report to our Head of AI Engine, and use your expertise to improve performance of our internal AI Engine. Your responsibilities will be to increase app performance, stability, availability of new features and simplify and improve the API of the framework. You will be the technical bridge between our Deep Learning research team and our variety of Production products that rely on our models. You’ll support our research team by helping prepare new & updated models for production and helping with GPU/CPU optimization. You’ll also work with various hardware partners (NVIDIA, AMD, Intel, Apple) to optimize inference on their hardware.

## About you

- Hands-on experience with performance optimization, e.g. concurrency, multithreading, memory, speed, benchmarking, reliability
- Experience architecting APIs for internal development
- Hands-on experience implementing image processing or computational photography algorithms
- Expert knowledge of C/C++
- At least 1+ years of professional working experience in a related field

## Preferred

- Experience with video encoding/decoding and file formats
- Experience with OpenCV, ffmpeg, GPU programming
- Experience with the raw image camera pipeline and image formats
- Experience with onnx, coreml, and tensorRT runtime SDKs
- Interest in photography or videography

Do you meet most but not 100% of the above? We’d still like to hear from you–we are passionate about developing a diverse team and culture, so please apply if you’re interested!

This is a unique role for someone interested in making a deep impact at a high-growth tech software company. We offer strong base salary, plus significant ownership that scales with the company's growth. We also offer 100% covered medical/dental/vision for employees, 15 days annual PTO, 5 days of personal time plus holidays, and 401k matching. This is a full-time onsite role in Dallas, TX, and we will ask you to relocate if you're not in the area.

## About Topaz Labs

## Company Overview
- **One-liner**: Topaz Labs builds professional-grade photo and video enhancement software powered by deep learning AI, enabling noise reduction, sharpening, and upscaling.
- **Entity Type**: Private (bootstrapped with a $200K grant in 2025)
- **Headquarters**: Dallas, Texas, United States
- **Founded**: 2005 (some sources list 2001 or 2006; the company’s own site says “est. 2001”)
- **Founders**: Feng Yang (Co-Founder, Adviser); Eric Yang (CEO) is also a key leader but not necessarily a founder.

## Core Business
- **Primary industry/industries**: Computer Vision, AI-Powered Imaging Software, Photo/Video Editing
- **Target customers**: Professional photographers, videographers, and creative teams (B2B and B2C; includes enterprise clients like Apple, Netflix, NASA)
- **Mission or purpose statement**: “We push the boundaries of what’s possible, not just for our technology, but for ourselves. We ship fast, learn from our mistakes, and don’t take ourselves too seriously.”

## Products & Services
- **[Topaz Photo AI](https://www.topazlabs.com/topaz-photo-ai)**: Desktop application (macOS, Windows) for AI-powered denoising, sharpening, and upscaling of still images.
- **[Topaz Video AI](https://www.topazlabs.com/topaz-video-ai)**: Desktop application for AI-driven video enhancement, including upscaling, frame interpolation, and deinterlacing.
- **[Topaz Image Web (Cloud)](https://www.topazlabs.com/image-web)**: Browser-based AI image enhancement and upscaling, no local installation required.
- **[NeuroStream 2](https://www.topazlabs.com)**: Proprietary inference engine that dramatically speeds up AI processing (announced May 2026).

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Annual Revenue of ~$8.3M (as of 2026); Total Funding: $200,000 (grant from Town of Addison, Jan 2025)
- **Notable Investors/Partners**: Town of Addison (grant); customer logos include Apple, Netflix, NASA
- **Growth Signals**: 1500% revenue growth in the last 6 years; 40% headcount growth YoY (75 employees); over 2 billion images processed; new video enhancement model “Astra 2” announced May 2026.

## Competitive Advantages
- **Deep learning expertise**: Specialized computer vision models trained on massive image datasets, delivering state-of-the-art denoising and super-resolution.
- **Speed & performance**: Proprietary NeuroStream inference engine provides faster processing than typical deep learning methods.
- **Trusted by top brands**: Used by major studios and organizations (Apple, Netflix, NASA) – a strong quality signal.
- **Bootstrapped, profitable growth**: Maintained independence and high margins without heavy VC dilution.

## Strategic Focus
- **AI model evolution**: Continuously releasing new models (e.g., Astra 2, Starlight Precise 2.5) for video and image enhancement.
- **Cloud expansion**: Launching web-based AI tools to reach a broader, less technical audience.
- **On-site collaboration**: Prioritizing in-person teamwork at the Dallas HQ, citing energy and creativity as key to the 12x revenue growth since 2018.

## Why Work Here
- **Culture**: Small, builder-focused team that values craftsmanship, speed, and learning from mistakes. Described as “not easy or relaxing” but high-impact.
- **Remote/Hybrid Policy**: On-site preferred (Dallas, TX) with flexible work-from-home when needed.
- **Perks & Benefits**: Company equity, performance bonuses, 401(k), family medical leave, and a collaborative environment with startup founders, PhD researchers, and photographers.
- **Engineering Culture**: Tackles hard problems in deep learning inference, consistency across hardware, and experimental development. Open roles are mostly on-site in Dallas.

## Sources
1. [topazlabs.com](https://www.topazlabs.com/careers) – Careers page
2. [jobs.lever.co/topazlabs](https://jobs.lever.co/topazlabs) – Job listings
3. [linkedin.com/company/topaz-labs](https://www.linkedin.com/company/topaz-labs) – Company profile
4. [builtin.com/company/topaz-labs](https://builtin.com/company/topaz-labs) – Perks + culture
5. [topazlabs.com](https://www.topazlabs.com/) – Main website product info

## Other roles at Topaz Labs

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- [Principal Technical Recruiter](https://feeny.ai/job/principal-technical-recruiter-topaz-labs-dallas-hc6kwjm3dsnp) — Dallas, TX