We're Topaz Labs, an AI tech company that builds one-click image and video quality software with deep learning. Over 1M photographers and designers trust us with their work, including teams at Google, Nvidia, NASA, and more. We've processed over 1 billion images, achieved 1800% revenue growth in the last 6 years, but we're just getting started.
About us
We're experiencing rocketship growth and opportunity for impact ($3M ? $45M revenue in four years). Over 1 million customers (including companies like Apple, NASA, Netflix) have used us for over 1 billion photos. Our tech has been covered by Fast Company, The Verge, Engadget, Mashable, BBC, and more. Our world-class team executes quickly, obsesses about the customer experience, and promotes from within. We're profitable with infinite runway.
About the role
As a Software Engineer on our Product Applications team, you would be a key part developing both web-based applications enabling users to upgrade the quality of their images and videos online. Your responsibilities would include feature development, code and system architecture, project planning, UI/UX, stability, optimization and more. Our product engineers work on everything from application architecture to frontend features. At Topaz, we put a high value on the craftsmanship of the user experience in our products: they need to be simple enough for anyone to use, but advanced enough for a professional photographer to obsess over every pixel. Our goal is to deliver a premium experience to our users at a consistent, rapid pace.
About youDo 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 company's growth. We also offer 100% covered medical/dental/vision for employees, 15 days annual PTO 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
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