Job requirements
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Software Engineer, AI Inference / HPC
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.
Quoted from version 1 of the description (first seen Oct 26, 2026), the text in the Job description tab.
Open to people early in their career. Basis: at most one year.
At least 1+ years of professional working experience in a related field
Quoted from version 1 of the description (first seen Oct 26, 2026), the text in the Job description tab.
Both skills are required.
Expert knowledge of C/C++
Quoted from version 1 of the description (first seen Oct 26, 2026), the text in the Job description tab.
Preferred, not mandatory.
Experience with OpenCV, ffmpeg, GPU programming
Experience with onnx, coreml, and tensorRT runtime SDKs
Quoted from version 1 of the description (first seen Oct 26, 2026), the text in the Job description tab.
Required.
At least 1+ years of professional working experience in a related field
Quoted from version 1 of the description (first seen Oct 26, 2026), the text in the Job description tab.
No explicit sponsorship policy found.
None of these is mentioned.
Location: Dallas, TX
Workplace type: onsite
This is a full-time onsite role in Dallas, TX, and we will ask you to relocate if you're not in the area.
Quoted from version 1 of the description (first seen Oct 26, 2026), the text in the Job description tab.
Commitment: Full-time
This is a full-time onsite role in Dallas, TX, and we will ask you to relocate if you're not in the area.
Quoted from version 1 of the description (first seen Oct 26, 2026), the text in the Job description tab.
Extracted by AI from the current description; every quote was checked against that text. The structure can still be wrong, so the description is the reference.
Job description
Text as published through the employer's Lever postings API (description, lists, and additional information). Original listing ↗
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
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.
Compensation will depend on experience and skills, and will also include equity and profit sharing.