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# Software Engineer, AI Inference / HPC

- **Company:** Topaz Labs
- **Location:** Dallas, TX, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, C++ (Programming Language), FFmpeg, Image File Formats, OpenCV, Performance Tuning, Simple Data Format, Video Encoding, Multithreading, Concurrency, Deep Learning, Gpu Programming, TensorRT, Model Inference, Decoding
- **Published:** October 21, 2026
- **Apply:** https://www.thejobnetwork.com/job/b90d22a1-0700-4b7e-9d64-f9908f86be58/software-engineer-ai-inference-hpc

## About the Role

* 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

## Description

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.