Full-Time

Computer Vision Engineer

Posted on 11/1/2024

Topaz Labs

Topaz Labs

51-200 employees

AI-powered image and video enhancement software

No salary listed

Dallas, TX, USA

In Person

Relocation required if not local to Dallas, TX.

Category
AI & Machine Learning (1)
Required Skills
MLOps
Python
Neural Networks
C/C++
Computer Vision

People at Topaz Labs

People at Topaz Labs who can refer or advise you

Requirements
  • At least 3+ years of professional working experience in a related field
  • Hands-on experience with performance optimization, e.g. with multithreading
  • Hands-on experience with computer vision models
  • Experience with MLops best practices
  • Experience with datasets
  • Expert knowledge of Python, C/C++
Responsibilities
  • As a Computer Vision Engineer, you will play a pivotal role in advancing engineering development within our AI research organization. Your responsibilities will encompass algorithmic visual data processing, data pipelines, training infrastructure, and large-scale training optimization, among other tasks.
  • As the first engineering hire for our lab, this position offers an unparalleled growth opportunity and the chance to drive research scalability from an engineering perspective.
  • You will collaborate closely with our deep learning research and engineering teams to build state-of-the-art models for image and video enhancement.
  • We rapidly prototype, build, and deploy new products, and your contributions will help us develop superior AI tools and products for our millions of users.
Desired Qualifications
  • Experience with perceptron models in computer vision
  • Experience with backend development
  • Experience with OpenCV, ffmpeg, other media-specific libraries and frameworks Exposure to model optimization for local processing
  • Interest in photography or videography

Topaz Labs creates AI-powered software that helps photographers, videographers, and digital artists improve the quality of their images and videos. Its tools perform tasks such as noise reduction, sharpening, upscaling, and converting JPEGs to RAW formats, using artificial intelligence to add detail while maintaining a natural look. The products are sold as individual tools or bundled, with an optional subscription for software upgrades that ensures ongoing access to new features. The company also maintains an active user community where customers share work and provide feedback, helping shape product improvements. Topaz Labs differentiates itself by offering a focused set of image- and video-enhancement tools with dedicated workflows and a revenue model that combines direct sales, bundles, and upgrades. Its goal is to give creators an efficient way to produce higher-quality visuals and to sustain growth through repeat purchases and community engagement.

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

Dallas, Texas

Founded

2006

People at Topaz Labs

People at Topaz Labs who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Adobe integration makes Emmy-validated upscaling and denoising native in Firefly for 50+ million Creative Cloud users.
  • Neurostream 2 reduces render times from minutes to seconds, enabling interactive high-capacity workflows on enthusiast hardware.
  • Topaz serves 1.5 million customers including 20 of the world's top 50 companies, granting Adobe immediate enterprise access.

What critics are saying

  • Adobe will make native upscaling and denoising free for Creative Cloud subscribers, directly eroding Topaz's $48M annual revenue base.
  • Topaz's standalone product line will be deprioritized as a feature layer inside Adobe's ecosystem, accelerating product stagnation.
  • Adobe will undercut enterprise contracts with legacy broadcast studios by offering equivalent archival upscaling at no extra cost via Creative Cloud Enterprise.

What makes Topaz Labs unique

  • Topaz Labs delivers Emmy-validated (2025) AI upscaling and restoration models for broadcast-quality video.
  • Neurostream technology enables large AI models to run locally on consumer-grade GPUs with 95% VRAM reduction.
  • Products like Astra and Wonder integrate seamlessly into Adobe Premiere without leaving the timeline.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Paid Vacation

Paid Sick Leave

401(k) Company Match

Company News

AI Weekly
Jun 25th, 2026
Adobe Acquires Topaz Labs, adding emmy-winning AI to Firefly.

Adobe Acquires Topaz Labs, adding emmy-winning AI to Firefly. Tl;dr. * Adobe agreed to acquire Topaz Labs, maker of AI video upscaler Astra and image tool Wonder, with the deal expected to close in H2 2026. * Topaz Labs won a 2025 Emmy Award in the AI Image and Video Enhancement category for high-quality television catalog restoration. * Topaz's core technology runs large AI video models on consumer-grade GPUs, a capability Adobe plans to integrate into Firefly and Creative Cloud. Topaz Labs has spent more than two decades building tools for the specific, unglamorous work that separates broadcast-quality video from everything else: upscaling archival footage, reducing noise, sharpening detail that compression destroyed. That track record earned the company a 2025 Emmy Award in the AI Image and Video Enhancement category for high-quality television catalog restoration. Adobe, which already offers some of Topaz's tools inside Creative Cloud, announced on June 25 that it has agreed to acquire the company outright, with the transaction expected to close in the second half of 2026, subject to regulatory approvals. As TechCrunch reported, the deal brings two flagship Topaz products under Adobe's roof: Astra, its AI video upscaling model, and Wonder, which handles image retouching and enhancement. Adobe plans to integrate Topaz's models into its Firefly AI app as well as other parts of its image and video editing suites, while keeping the tools available as standalone products. CEO Eric Yang is reportedly staying on to lead the team. The strategic capability Adobe is really buying is Topaz's work on making it easier to run large video AI models on consumer-grade GPUs. That matters because high-quality AI video processing has largely been a hardware lottery: teams with powerful rigs can access results that others cannot. If that on-device efficiency can be threaded into Premiere Pro and After Effects at scale, it could extend Creative Cloud's AI capabilities to a much wider range of creative professionals without requiring expensive hardware upgrades. The honest caveat is that the deal still needs regulatory approval before it closes, and financial terms were not disclosed, so the scale of Adobe's bet remains opaque. What the reporting also does not give you is any detail on Topaz's existing third-party licensing relationships or whether the GPU-efficiency work will remain accessible at the consumer tier once it sits inside Adobe's product stack. The clearest near-term beneficiary is the working editor or colorist already inside the Adobe ecosystem, for whom Emmy-validated upscaling and restoration may soon be a native feature rather than a separate purchase. Originally reported by techcrunch.com Original headline: Adobe Acquires AI Video and Image Enhancement Startup Topaz Labs to Bolster Firefly Against Canva and Blackmagic

PR Newswire
Mar 31st, 2026
Topaz Labs releases video models with AMD GPU support and API updates

Topaz Labs has released its Precision Update, introducing four new models and nine improvements to its image and video enhancement suite. The update includes two new video upscale models: Gaia 2 for animated content and Starlight Precise 2.5 for enhancing generative AI video to 4K resolution. The update adds local AMD GPU support for the Wonder 2 model, which upscales, sharpens and denoises images without manual parameter tuning. This support is powered by Topaz NeuroStream, the company's proprietary VRAM optimisation technology. The release represents the largest update yet for API users and marks a continued partnership between Topaz Labs and AMD. Founded in 2005, Topaz Labs provides AI-powered image and video enhancement technology used by millions of customers worldwide.

PulseBot
Mar 27th, 2026
Topaz Starlight Precise 2.5 now Available via Partner nodes.

Topaz Starlight Precise 2.5 now Available via Partner nodes. - March 27, 2026 Key takeaways. * - Sharper 720p-to-4K upscaling with reduced artifacts * - Same per-frame pricing as previous Starlight Precise * - Drop-in model replacement, no workflow changes required * - Available via ComfyUI Partner Node and Comfy Cloud Summary. Topaz has released Starlight Precise 2.5, an upgraded video-upscaling model now offered as a Partner Node in ComfyUI. The new version delivers noticeably sharper 720p-to-4K results with fewer artifacts while preserving creative detail. It is a drop-in replacement for the existing SLP-2 model and carries the same per-frame pricing. Users can enable the model via the ComfyUI dropdown or on Comfy Cloud without altering their workflows. Pulse analysis. Artificial intelligence-driven upscaling has become a cornerstone for creators seeking to transform lower-resolution footage into cinema-grade 4K output. Topaz, a long-standing player in the image-enhancement space, leverages deep-learning models that predict missing pixels, delivering results that often surpass traditional interpolation. By integrating its latest Starlight Precise 2.5 model into the ComfyUI ecosystem, the company taps into a growing community of developers and artists who rely on modular node-based pipelines for rapid prototyping and production. Starlight Precise 2.5 focuses on three core improvements: sharper detail retention, fewer hallucinated artifacts, and more convincing creative reconstruction. In practical terms, a 720p source now retains fine textures when expanded to 4K, reducing the need for manual touch-ups. Crucially, the upgrade does not alter the per-frame cost structure, meaning studios and independent creators can achieve higher quality without inflating budgets. This cost-neutral enhancement aligns with the broader industry trend of maximizing ROI on AI tools while maintaining predictable expense models. The rollout as a Partner Node simplifies adoption for existing ComfyUI users. By selecting the new model from a dropdown, workflows remain unchanged, and the same node architecture can be reused across projects. Additionally, the availability on Comfy Cloud offers a hosted option for teams lacking local GPU resources. As AI upscaling continues to mature, Topaz's strategy of incremental, cost-stable upgrades positions it as a reliable vendor for both enterprise pipelines and freelance creators seeking scalable, high-fidelity video output. Topaz Starlight Precise 2.5 is now available as a Partner Node in ComfyUI. This latest update to the Starlight Precise upscaling model delivers noticeably sharper results with fewer artifacts - and it's available at the same cost as the existing SLP-2 model. If you've been using Starlight Precise for video upscaling, this is a direct upgrade. Select the new model from the dropdown and get better results immediately. What's improved in v2.5. * Sharper output - Fine details are better preserved through the upscaling process, especially noticeable in 720p to 4K workflows. * Fewer artifacts - Cleaner results with reduced hallucination compared to SLP-2. * Convincing creative detail - The model dreams in realistic detail when upscaling, filling in information that makes the output look native rather than stretched. * Same cost - Starlight Precise 2.5 is available at the same per-frame pricing as SLP-2. No price increase for better quality. * Drop-in replacement - Select Starlight Precise 2.5 from the model dropdown in the existing Topaz upscaling node. No workflow changes needed. 720p to 4K: before & after. Getting started. * Update ComfyUI to the latest version, or access Comfy Cloud. * Find the Topaz Video Enchance node in the Node Library, or load the Topaz Starlight Precise 2.5 template from Templates. * Select Starlight Precise 2.5 from the model dropdown and run your workflow. Already using Starlight Precise for your upscaling pipelines? Swap to v2.5 in the model dropdown - same cost, better results. Want to join the conversation?

Topaz Labs
Mar 10th, 2026
Topaz Labs introduces Topaz NeuroStream | breakthrough tech for running large AI models locally.

Topaz Labs introduces Topaz NeuroStream | breakthrough tech for running large AI models locally. Run the largest, most powerful AI models locally on every NVIDIA GeForce RTX and RTX PRO GPU. Topaz Labs, the leader in AI-powered image and video enhancement, today announced Topaz NeuroStream, a proprietary VRAM optimization that allows complex AI models to be run on consumer hardware. This announcement comes alongside a new local image enhancement model, Wonder 2 (Local), that would not be possible without NeuroStream optimization. Designed as foundational technology, NeuroStream will not be limited to only Topaz Labs models in the future, and has the power to change local AI model use across the entire image and video industry. "We envision a world where AI models are simply on your device - no cloud needed, no additional usage costs, no specialized hardware, and no security gaps" says Topaz Labs CEO Eric Yang. "Our pro customers have been asking for this since we launched our first large, generative model. And now, we're very excited to make it a reality." Without rendering costs, NeuroStream democratizes the use of large AI models. "Creators shouldn't need specialized hardware or complex workflows to achieve professional results." Optimized for NVIDIA Hardware With a focus on local processing, Topaz Labs has collaborated with NVIDIA to optimize NeuroStream. Very few consumer systems can run a large video model, but with NeuroStream implemented, that same model can be used on every NVIDIA GeForce RTX and RTX PRO GPU. "As the demand for local processing on RTX GPUs continues to grow, NeuroStream provides an opportunity to run complex AI models on nearly all hardware," said Gerardo Delgado Cabrera, director of product for AI PCs at NVIDIA. "This latest collaboration with Topaz Labs is part of ongoing efforts to help develop technology optimized for use with NVIDIA-powered devices." About NeuroStream: Industry-First VRAM Optimization NeuroStream is a proprietary technology that reduces VRAM usage by up to 95%, enabling large, complex AI models to run locally on consumer-grade GPUs without sacrificing performance, speed, or output quality. This breakthrough dramatically expands hardware compatibility, democratizing advanced image and video enhancement models previously limited to high-end systems or cloud-only usage. About Wonder 2 Local: Denoise, Sharpen & Upscale Instantly Announced in January 2026, the Wonder 2 model represents a fundamental shift in AI image enhancement. It is the first model to denoise, sharpen, and upscale an image simultaneously, eliminating the need for multiple tools, sequential processing, or parameter tuning. Wonder 2 (Local) is now available in Topaz Photo. About Topaz Labs Founded in 2005, Topaz Labs is a leader in AI-powered image and video enhancement. Its technology is used by 1.5 million customers, including 20 of the world's top 50 companies. Known for industry-leading products like Topaz Photo, Topaz Video, Topaz Gigapixel, Astra and Bloom, the company continues to invest heavily in research and development, advancing the frontiers of imaging technology in collaboration with academic and industry partners. Learn more at www.topazlabs.com. Topaz studio. All the apps. One low price. Topaz Video, Topaz Photo, Topaz Gigapixel, Bloom, Astra, Express, Mosaic. All new apps on release. And more. Join the Topaz mailing list. Cloud apps. Company. Info. For genai platforms. Use cases. Social. Contact. 5100 Belt Line Rd Ste 930, Dallas, TX 75254

PR Newswire
Mar 3rd, 2026
Topaz Labs launches NeuroStream to run large AI models on consumer GPUs without cloud costs

Topaz Labs has introduced Topaz NeuroStream, a proprietary technology that reduces VRAM usage by up to 90%, enabling large AI models to run on consumer-grade GPUs. The breakthrough allows complex image and video enhancement models to operate locally without cloud processing or specialised hardware. The announcement coincides with the launch of Wonder 2 (Local), an image enhancement model that simultaneously denoises, sharpens and upscales images. Topaz Labs developed NeuroStream in collaboration with NVIDIA, optimising it for all GeForce RTX and RTX PRO GPUs. Founded in 2005, Topaz Labs serves 1.5 million customers, including 20 of the world's top 50 companies. The Dallas-based company plans to make NeuroStream available for use beyond its own models across the image and video industry.

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