Software Engineer, Infrastructure
Dallas, TX
Applications have closed
Topaz Labs
Photo and video enhancement software powered by deep learning gets you the best image quality available for noise reduction, sharpening, upscaling, and more.
Topaz Labs produces AI imaging technology that helps over 1 million paying customers (including teams at Apple, Netflix, and NASA) maximize the visual quality of over 1 billion photos and videos. We are profitable and growing fast, with strong product-market fit and a vast market in front of us.
We're looking for a Software Engineer, Infrastructure to bring our prosumer product into B2B and enterprise. While we have strong commercial demand for our proven consumer app technology, we need to develop the underlying technology for our enterprise and API customers.
About the role
As Software Engineer handling infrastructure on our team you would be a key part of development on all Topaz software - including our core products, Photo AI, Video AI and Gigapixel, ML model training infrastructure and distribution, as well as CI / CD pipelines and the build / release process.
Another chief goal is to increase automated testing and stability of our applications. You will closely with our product engineering team to sustain & improve biweekly update deliveries, as well as internal development processes. You will be joining an awesome team that sets a high standard for craftsmanship and feature delivery.
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 personal days, 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.
We're looking for a Software Engineer, Infrastructure to bring our prosumer product into B2B and enterprise. While we have strong commercial demand for our proven consumer app technology, we need to develop the underlying technology for our enterprise and API customers.
About the role
As Software Engineer handling infrastructure on our team you would be a key part of development on all Topaz software - including our core products, Photo AI, Video AI and Gigapixel, ML model training infrastructure and distribution, as well as CI / CD pipelines and the build / release process.
Another chief goal is to increase automated testing and stability of our applications. You will closely with our product engineering team to sustain & improve biweekly update deliveries, as well as internal development processes. You will be joining an awesome team that sets a high standard for craftsmanship and feature delivery.
About you
- At least 2 years of professional working experience in a related field.
- Deep familiarity with C++ build tools (3+ years).
- Hands-on experience with AWS, Azure, or similar cloud platforms.
- Experience building and deploying CI/CD pipelines.
- Experience implementing test automation.
- Knowledge of networking infrastructure including CDN caching.
Preferred
- Experience building releases for Windows and/or MacOS or iOS.
- Experience in Python, Go or Javascript.
- QT development/build experience.
- Experience with Conan.
- Experience with test automation tools such as Eggplant.
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 personal days, 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: APIs AWS Azure CI/CD Eggplant Engineering JavaScript Machine Learning Model training Pipelines Python Testing
Perks/benefits: Career development Health care Startup environment
Region:
North America
Country:
United States
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