--- title: 'Forward-Deployed Site Reliability Engineer (KR) at Gauss Labs' canonical: 'https://feeny.ai/job/forward-deployed-site-reliability-engineer-kr-gauss-labs-seoul-gdg4bf0588qt' type: 'job' last_seen: '2026-11-10' --- # Forward-Deployed Site Reliability Engineer (KR) at Gauss Labs - **Company:** Gauss Labs - **Location:** Seoul, South Korea - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-07-24 - **Last confirmed live:** 2026-11-10 - **Apply:** https://jobs.lever.co/gausslabs/b8b45d11-dae9-4151-8d46-10a250b01aa9 ## Job description Gauss Labs is an industrial AI company on a mission to revolutionize manufacturing with AI, starting with the semiconductor sector. Panoptes is an AI-based process intelligence solution deployed in high-volume manufacturing fabs, helping customers improve yield, reduce costs, and accelerate production. Our software runs in our customers’ own managed environments. As our Site Reliability Engineer, you are the first responder for the platform layer that Panoptes runs on in production at the customer site, and you own its on-call rotation. You won’t control the cluster/node layer; your job is to diagnose what the platform needs, make the case to the customer’s infrastructure team, and keep the platform reliable within their constraints. You will also own monitoring and alerting for the platform layer, and build the automation and observability that reduce operational toil and speed up incident response. ## Responsibilities - Incident Response and On-call: Own first-response and the on-call rotation for the platform layer. Alerts are routed to the owning team and when an internal incident spans more than one team, this role coordinates the response in the incident channel. - Customer-environment operations and technical communication: Deploy and operate Panoptes at the application-namespace level in the customer-managed environment. The cluster, node, and Kubernetes layer is controlled by the customer’s infrastructure team: diagnose what the platform needs, make the technical case to that team, and operate within their setup, decisions, and constraints. - Internal cloud (AWS) environment: Own the platform layer end-to-end in our internal development environment — cluster health, resource management (CPU/memory/OOM), scheduling, autoscaling, and Kubernetes/EKS lifecycle. - Monitoring and Alerting: Build and maintain robust monitoring and alerting for the infrastructure and platform layer to proactively identify and resolve issues before they impact the platform. - Automation: Develop automation tools and scripts to streamline operations, reduce manual effort, and enable engineering teams to operate their own services safely. - Capacity Planning: Forecast resource needs, optimize resource utilization, and ensure the platform infrastructure can handle increasing workloads. - Deployment infrastructure: Build and maintain CI/CD pipelines and deployment infrastructure for the platform. - Continuous Improvement: Drive a culture of continuous improvement by identifying opportunities to enhance platform reliability, performance, and efficiency. ## Basic Qualifications - Bachelor's degree in computer science, engineering, or a related discipline - 5+ years of industry experience as a Site Reliability Engineer or in platform/infrastructure engineering - Experience operating workloads on a cluster controlled by another team, and communicating technical needs across that boundary - Hands-on experience operating Kubernetes in production (EKS preferred): cluster lifecycle, scheduling, autoscaling, resource management - Experience with cloud platforms (AWS preferred) and containerization technologies (Docker, Kubernetes) - Experience with observability and alerting tools (Prometheus, Grafana, ElasticSearch, Jaeger) - Experience with scripting languages (Python, Bash) - Working knowledge of GitHub, GitHub Actions, and CI/CD concepts - Strong problem-solving and troubleshooting skills - Working proficiency in English for internal documentation and technical coordination ## Preferred Qualifications - Knowledge of AI/ML infrastructure and workloads. - Knowledge of database technologies (MongoDB, PostgreSQL) - Experience operating systems in an environment you didn’t fully control — a customer site, on-prem, an MSP, or another team’s cluster - Experience leading incidents from diagnosis through root cause - Exposure to manufacturing, semiconductor, or enterprise B2B customer environments [Interview process] Application reivew - Phone interview - Virtual onsite interview - VP interview/Core Value interview - CEO interview ## About Gauss Labs ## Company Overview - **One-liner**: Gauss Labs revolutionizes manufacturing by building industrial AI solutions that leverage machine-generated data to make factories more intelligent. - **Entity Type**: Private (funded by a single corporate round in 2020) - **Headquarters**: Palo Alto, California, United States - **Founded**: 2020 - **Founders**: Mike Young-Han Kim (CEO) ## Core Business - **Primary industry/industries**: Industrial AI, Semiconductor Manufacturing Intelligence, Software Development - **Target customers**: B2B – primarily large semiconductor manufacturers (e.g., SK hynix) and other advanced manufacturing firms - **Mission or purpose statement**: “We normalize AI. We revolutionize manufacturing.” – Gauss Labs aims to reshape manufacturing through innovative industrial AI systems beyond human capabilities. ## Products & Services - **Panoptes VM (Virtual Metrology)**: An AI-based solution that predicts wafer manufacturing process outcomes, enabling real-time process control and reducing the need for physical measurements. Deployed at SK hynix since 2023. - **Panoptes IM (Image Metrology)**: An end-to-end image metrology solution covering image processing, metrology, and analytics. Helps extract highly precise and repeatable measurements from manufacturing images. - **Manufacturing Data Intelligence (MDI) Solutions**: A broader suite of proprietary AI algorithms that turn machine-generated data into actionable insights for factory optimization. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Total Funding – $55 million (corporate round, led by SK Hynix, September 2020) - **Notable Investors/Partners**: SK Hynix (sole investor and strategic partner), with published research at SPIE AL 2024 on AI-based semiconductor metrology. - **Growth Signals**: - Headcount growth of +2.8% YoY (64 employees as of 2025) - Active job postings in US and Korea (6 open roles) - Deployment of Panoptes VM at SK hynix’s wafer fabrication lines - Patent filings in end-to-end process control and anomaly detection (2024) ## Competitive Advantages - **Deep domain expertise**: Combines cutting-edge AI/ML knowledge with hands-on manufacturing domain knowledge, especially in semiconductor fabrication. - **Proprietary AI algorithms**: Developed in-house for manufacturing data intelligence, validated through real-world deployments at scale. - **Tight partnership with SK hynix**: Access to real-world manufacturing data and a channel for immediate impact, creating a strong moat in the semiconductor AI space. - **Global distributed team**: Offices in Palo Alto (HQ), Seoul, and Vancouver, enabling 24/7 development and close collaboration with Asian manufacturing hubs. ## Strategic Focus - **Current priorities**: Scaling its AI-based virtual metrology and image metrology solutions to additional semiconductor fabs and expanding into other manufacturing verticals. - **Growth direction**: Continued investment in R&D (patents, SPIE publications) and hiring for AI, software engineering, and forward-deployed roles to deepen product capabilities and customer reach. ## Why Work Here - **Culture highlights**: Gauss Labs emphasizes “normalizing AI” and values ownership, fearless experimentation, and collective learning. The company is described as having a balanced and inspiring leadership. - **Remote/hybrid/office policy**: - Palo Alto: Hybrid working environment - Seoul: Hybrid working environment - Vancouver: Full remote working environment - Generous PTO, flexible hours, and remote work options - **Notable perks**: Comprehensive health insurance (medical, vision, dental) for employees and dependents; 401(k) with company matching in the US; group insurance and private health plan in Korea; robust savings plans; career development programs; team-building events. - **Engineering culture**: High proportion of technical staff (38% technical, 14% research), with strong talent drawn from top companies like SK hynix, Samsung, Amazon, and AWS. Employees report a 3.8/5.0 employer rating (Work-Life 4.0, Compensation 4.2, Culture 3.5). ## Sources 1. [gausslabs.ai](https://www.gausslabs.ai/about-us) – About Us page 2. [gausslabs.ai](https://www.gausslabs.ai/career) – Careers page 3. [linkedin.com](https://linkedin.com/company/gauss-labs-ai) – LinkedIn company page (aggregated data) 4. [builtin.com](https://builtin.com/company/gauss-labs) – Built In company profile 5. [jobs.lever.co](https://jobs.lever.co/gausslabs) – Current job openings ## Other roles at Gauss Labs - [Software Engineer (KR)](https://feeny.ai/job/software-engineer-kr-gauss-labs-seoul-314d434d6xdp) — Seoul, South Korea - [Data Science Manager - Manufacturing Data (KR)](https://feeny.ai/job/data-science-manager-manufacturing-data-kr-gauss-labs-seoul-34s1s4jvx6df) — Seoul, South Korea - [Senior Software Engineer (KR)](https://feeny.ai/job/senior-software-engineer-kr-gauss-labs-seoul-qpxtgtm3x958) — Seoul, South Korea - [Data Scientist - Manufacturing Data (KR)](https://feeny.ai/job/data-scientist-manufacturing-data-kr-gauss-labs-seoul-6dgdz3pbgxcj) — Seoul, South Korea - [Senior Data Scientist - Manufacturing Data (US)](https://feeny.ai/job/senior-data-scientist-manufacturing-data-us-gauss-labs-palo-alto-1rkgkj4qjpj3) — Palo Alto, CA - [Senior Talent Acquisition Partner (KR)](https://feeny.ai/job/senior-talent-acquisition-partner-kr-gauss-labs-seoul-3cww2bns41s0) — Seoul, South Korea - [Senior Data Scientist - Manufacturing Data (KR)](https://feeny.ai/job/senior-data-scientist-manufacturing-data-kr-gauss-labs-seoul-7mxybzg57532) — Seoul, South Korea - [Senior AI Engineer - Machine Learning (US)](https://feeny.ai/job/senior-ai-engineer-machine-learning-us-gauss-labs-palo-alto-my50txca82ab) — Palo Alto, CA - [AI Scientist - Machine Learning (KR/US)](https://feeny.ai/job/ai-scientist-machine-learning-kr-us-gauss-labs-palo-alto-8fggv3qzs4n1) — Palo Alto, CA / Seoul, South Korea - [Talent Pool (KR)](https://feeny.ai/job/talent-pool-kr-gauss-labs-seoul-fk05db67et2a) — Seoul, South Korea