---
title: 'Staff Security Engineer at Topaz Labs'
canonical: 'https://feeny.ai/job/staff-security-engineer-topaz-labs-dallas-cb3c92k4xrn7'
type: 'job'
last_seen: '2026-09-08'
---

# Staff Security Engineer at Topaz Labs

- **Company:** Topaz Labs
- **Location:** Dallas, TX
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-11-24
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.lever.co/topazlabs/b3c491fe-5ffd-4f21-8df6-22f6823e060c

## Job description

We use AI to do things that were previously impossible. Topaz Labs builds professional-grade software that uses deep learning to enhance image and video quality. Over 1 million photographers and designers trust us with their work, including teams at Apple, Netflix, NASA, and Disney. We’ve processed over 1 billion images, achieved massive revenue growth, and we’re only getting started.We are a small, profitable, and product-led team that values craftsmanship and impact over activity. We don’t just ship features; we solve hard problems to help creatives do their best work.

As our first Principal Security Engineer, you will own the security posture for the entire organization—from the cloud to the colo, and from the training cluster to the office network.This is not a high-level compliance role. You will be reporting directly to the Head of AI Engine, but your scope spans the entire company. You must be willing to get your hands dirty.We operate a hybrid infrastructure: AWS, massive on-premise GPU training clusters in our colocation facility, and a corporate fleet of devices. Your mission is to secure every layer of this stack. You will have complete autonomy to architect security for our compute resources, manage office/colo networks, and harden our endpoints.

## About the role

- Secure the Hybrid Infrastructure (AWS & Colo): You will be the single owner for security across our cloud environments and our physical colocation data centers. This includes configuring firewalls, managing physical network security, and hardening our Linux GPU clusters.
- [Corporate](http://clusters.Corporate) & Endpoint Security: You will own the security of our internal tools and devices. You will manage our fleet (primarily macOS) using Jamf and oversee identity management via Active Directory.
- You ensure our creative workflows are secure without being obstructive.
- [Hands-On](http://obstructive.Hands-On) Penetration Testing: We don't just rely on external audits. You will regularly conduct hands-on penetration tests against our internal networks, office infrastructure, and AI applications to find vulnerabilities before anyone else does.
- [Secure](http://does.Secure) the AI Supply Chain: Our models are our most valuable IP. You will design systems to protect our model weights during training, storage, and delivery, ensuring they are tamper-proof and secure from theft or reverse engineering.

## About you

- You are a hands-on generalist. You are just as comfortable configuring an IAM policy in AWS as you are setting up a switch in a colocation rack or writing a script for Jamf.
- You have a craftsmanship mentality. You take personal pride in building systems that are robust, elegant, and secure by default. You don't just patch holes; you eliminate entire classes of vulnerabilities.
- You are an infrastructure native. You are fluent in Linux internals, networking, and container orchestration. You understand the unique security challenges of cloud, distributed, and HPC environments.
- You value truth over comfort. You are willing to have hard conversations about risk and prioritize fixing root causes over applying band-aids.
- You think like an attacker. You don't wait for a report to tell you something is wrong. You actively probe our defenses (office, colo, and cloud) to prove they work.

## Qualifications

- 7+ years of experience in security engineering, with a mix of infrastructure, corporate IT, and offensive security.
- Deep hands-on experience with cloud security and compliance (AWS, IAM, VPC, SOC II, Vanta).
- Proven experience with Endpoint Management & Identity: Expert-level knowledge of Jamf for macOS management and Active Directory (or modern equivalents) for identity governance.
- Physical & Network Security: Experience securing physical office networks and colocation facilities (firewalls, VPNs, switching).
- Offensive Security: Demonstrated ability to perform manual penetration testing (network and web app).Proficiency in scripting (Python/Bash) to automate security tasks.
- Bonus: Experience securing on-device software or desktop applications (Windows/macOS).

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 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.

## About Topaz Labs

## Company Overview
- **One-liner**: Topaz Labs builds professional-grade photo and video enhancement software powered by deep learning AI, enabling noise reduction, sharpening, and upscaling.
- **Entity Type**: Private (bootstrapped with a $200K grant in 2025)
- **Headquarters**: Dallas, Texas, United States
- **Founded**: 2005 (some sources list 2001 or 2006; the company’s own site says “est. 2001”)
- **Founders**: Feng Yang (Co-Founder, Adviser); Eric Yang (CEO) is also a key leader but not necessarily a founder.

## Core Business
- **Primary industry/industries**: Computer Vision, AI-Powered Imaging Software, Photo/Video Editing
- **Target customers**: Professional photographers, videographers, and creative teams (B2B and B2C; includes enterprise clients like Apple, Netflix, NASA)
- **Mission or purpose statement**: “We push the boundaries of what’s possible, not just for our technology, but for ourselves. We ship fast, learn from our mistakes, and don’t take ourselves too seriously.”

## Products & Services
- **[Topaz Photo AI](https://www.topazlabs.com/topaz-photo-ai)**: Desktop application (macOS, Windows) for AI-powered denoising, sharpening, and upscaling of still images.
- **[Topaz Video AI](https://www.topazlabs.com/topaz-video-ai)**: Desktop application for AI-driven video enhancement, including upscaling, frame interpolation, and deinterlacing.
- **[Topaz Image Web (Cloud)](https://www.topazlabs.com/image-web)**: Browser-based AI image enhancement and upscaling, no local installation required.
- **[NeuroStream 2](https://www.topazlabs.com)**: Proprietary inference engine that dramatically speeds up AI processing (announced May 2026).

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Annual Revenue of ~$8.3M (as of 2026); Total Funding: $200,000 (grant from Town of Addison, Jan 2025)
- **Notable Investors/Partners**: Town of Addison (grant); customer logos include Apple, Netflix, NASA
- **Growth Signals**: 1500% revenue growth in the last 6 years; 40% headcount growth YoY (75 employees); over 2 billion images processed; new video enhancement model “Astra 2” announced May 2026.

## Competitive Advantages
- **Deep learning expertise**: Specialized computer vision models trained on massive image datasets, delivering state-of-the-art denoising and super-resolution.
- **Speed & performance**: Proprietary NeuroStream inference engine provides faster processing than typical deep learning methods.
- **Trusted by top brands**: Used by major studios and organizations (Apple, Netflix, NASA) – a strong quality signal.
- **Bootstrapped, profitable growth**: Maintained independence and high margins without heavy VC dilution.

## Strategic Focus
- **AI model evolution**: Continuously releasing new models (e.g., Astra 2, Starlight Precise 2.5) for video and image enhancement.
- **Cloud expansion**: Launching web-based AI tools to reach a broader, less technical audience.
- **On-site collaboration**: Prioritizing in-person teamwork at the Dallas HQ, citing energy and creativity as key to the 12x revenue growth since 2018.

## Why Work Here
- **Culture**: Small, builder-focused team that values craftsmanship, speed, and learning from mistakes. Described as “not easy or relaxing” but high-impact.
- **Remote/Hybrid Policy**: On-site preferred (Dallas, TX) with flexible work-from-home when needed.
- **Perks & Benefits**: Company equity, performance bonuses, 401(k), family medical leave, and a collaborative environment with startup founders, PhD researchers, and photographers.
- **Engineering Culture**: Tackles hard problems in deep learning inference, consistency across hardware, and experimental development. Open roles are mostly on-site in Dallas.

## Sources
1. [topazlabs.com](https://www.topazlabs.com/careers) – Careers page
2. [jobs.lever.co/topazlabs](https://jobs.lever.co/topazlabs) – Job listings
3. [linkedin.com/company/topaz-labs](https://www.linkedin.com/company/topaz-labs) – Company profile
4. [builtin.com/company/topaz-labs](https://builtin.com/company/topaz-labs) – Perks + culture
5. [topazlabs.com](https://www.topazlabs.com/) – Main website product info

## Other roles at Topaz Labs

- [Social Media Manager / video content creator](https://feeny.ai/job/social-media-manager-video-content-creator-topaz-labs-dallas-8wrqjr3c98ns) — Dallas, TX
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- [Software Engineer, AI Inference / HPC](https://feeny.ai/job/software-engineer-ai-inference-hpc-topaz-labs-dallas-fsgyg99aez4g) — Dallas, TX
- [Product Software Engineer (Full-stack)](https://feeny.ai/job/product-software-engineer-full-stack-topaz-labs-dallas-fbdtyqpj8qav) — Dallas, TX
- [Technical Product Manager](https://feeny.ai/job/technical-product-manager-topaz-labs-dallas-0464wv5ds256) — Dallas, TX
- [Principal Technical Recruiter](https://feeny.ai/job/principal-technical-recruiter-topaz-labs-dallas-hc6kwjm3dsnp) — Dallas, TX
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