Software Engineer, AI Inference / HPC
Indexed description
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
- 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
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Compensation will depend on experience and skills, and will also include equity and profit sharing.
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