Topazlabs
Software Engineer, AI Inference / HPC
Dallas, TX · Full-time
Sponsorship not specified$110k-$150kDetected 139 days ago
C++Full-Stack DevelopmentAlgorithmsDeep LearningLLMsPhotographyResearch
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.
Responsibilities
- You'll support our research team by helping prepare new & updated models for production and helping with GPU/CPU optimization.
Requirements
- Hands-on experience with performance optimization, e.g. concurrency, multithreading, memory, speed, benchmarking, reliability
- Experience architecting APIs for internal development
- Expert knowledge of C/C++
- At least 1+ years of professional working experience in a related field
Nice to have
- Do you meet most but not 100% of the above?
- This is a unique role for someone interested in making a deep impact at a high-growth tech software company.
Compensation
- We offer strong base salary, plus significant ownership that scales with the company's growth.
Benefits
- We also offer 100% covered medical/dental/vision for employees, 15 days annual PTO, 5 days of personal time plus holidays, and 401k matching.
Company info
- 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.
- 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.
- 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!
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This listing is sourced directly from Topazlabs's careers page and normalized into a canonical job model.