---
title: 'Senior Site Reliability Engineer (KR) at Gauss Labs'
canonical: 'https://feeny.ai/job/senior-site-reliability-engineer-kr-gauss-labs-yeoksam-gdg4bf0588qt'
type: 'job'
last_seen: '2026-09-15'
---

# Senior Site Reliability Engineer (KR) at Gauss Labs

- **Company:** Gauss Labs
- **Location:** Yeoksam, Seoul, South Korea
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-24
- **Last confirmed live:** 2026-09-15
- **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 virtual metrology 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, and we're seeking a Site Reliability Engineer to own the reliability of the infrastructure and platform that Panoptes runs on. You will keep the platform available, performant, and scalable; own monitoring, alerting, incident first-response, and the on-call rotation; and build the automation and observability that let engineering teams operate their services safely.

## Responsibilities

- Platform reliability and operations: Own platform-layer reliability across both environments. In our internal cloud environment: full ownership — cluster health, resource management (CPU/memory/OOM), scheduling, autoscaling, Kubernetes/EKS lifecycle. In the customer environment: operate directly at the application-namespace level and for the customer-controlled cluster/node layer, diagnose and clearly communicate what's needed, and operate the platform within their setup, decisions, and constraints.
- 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.
- Incident Response: Own incident first-response for the platform layer and participate in the on-call rotation to minimize downtime and restore service quickly.
- 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
- 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 software in customer-managed (on-prem or customer-cloud) environments
- 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

- [Senior Forward Deployed Operations Engineer (KR)](https://feeny.ai/job/senior-forward-deployed-operations-engineer-kr-gauss-labs-yeoksam-pha4cm0fy06g) — Yeoksam, Seoul, South Korea
- [Senior Forward Deployed Product Manager (KR)](https://feeny.ai/job/senior-forward-deployed-product-manager-kr-gauss-labs-yeoksam-p0pv1avnyhey) — Yeoksam, Seoul, South Korea
- [Senior Data Scientist - Manufacturing Data (KR)](https://feeny.ai/job/senior-data-scientist-manufacturing-data-kr-gauss-labs-yeoksam-7mxybzg57532) — Yeoksam, 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 / Yeoksam, Seoul, South Korea
- [Talent Pool (KR)](https://feeny.ai/job/talent-pool-kr-gauss-labs-yeoksam-fk05db67et2a) — Yeoksam, Seoul, South Korea
- [Talent Pool (US)](https://feeny.ai/job/talent-pool-us-gauss-labs-palo-alto-n4vhgcyr9zdv) — Palo Alto, CA