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
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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
$110,000 - $150,000 a year
Compensation will depend on experience and skills, and will also include equity and profit sharing.
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.
