54000 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.
About us
Topaz Labs is a full-stack AI company that develops trains and deploys generative AI models for image and video enhancement. Were 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. Youll support our research team by helping prepare new & updated models for production and helping with GPU/CPU optimization. Youll 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
$110000 - $150000 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 Wed still like to hear from youwe are passionate about developing a diverse team and culture so please apply if youre 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 companys 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 youre not in the area.
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.
Required Experience:
IC
54000 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.About usTopaz Labs is a full-stack AI c...
54000 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.
About us
Topaz Labs is a full-stack AI company that develops trains and deploys generative AI models for image and video enhancement. Were 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. Youll support our research team by helping prepare new & updated models for production and helping with GPU/CPU optimization. Youll 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
$110000 - $150000 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 Wed still like to hear from youwe are passionate about developing a diverse team and culture so please apply if youre 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 companys 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 youre not in the area.
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.
Required Experience:
IC
View more
View less