Senior Site Reliability Engineer
About the job
- A bachelor's degree in computer science, engineering, or a related discipline is required.
- At least 5 years of industry experience as a Site Reliability Engineer or in platform or infrastructure engineering is required.
- Hands-on experience operating Kubernetes in production is required, including cluster lifecycle, scheduling, autoscaling, and resource management; EKS is preferred.
- Experience with cloud platforms and containerization technologies such as Docker and Kubernetes is required; AWS is preferred.
- Experience with observability and alerting tools such as Prometheus, Grafana, ElasticSearch, and Jaeger is required.
- Experience with scripting languages such as Python and Bash is required.
- Working knowledge of GitHub, GitHub Actions, and CI/CD concepts is required.
- Strong problem-solving and troubleshooting skills are required.
- Working proficiency in English for internal documentation and technical coordination is required.
- Own platform-layer reliability across internal and customer environments. In the internal cloud environment, own cluster health, resource management including CPU, memory, and OOM, scheduling, autoscaling, and Kubernetes/EKS lifecycle. In customer environments, operate at the application-namespace level and the customer-controlled cluster/node layer, diagnose and communicate requirements, and operate the platform within customer setups, decisions, and constraints.
- Build and maintain monitoring and alerting for the infrastructure and platform layer to identify and resolve issues before they affect the platform.
- Own first response for platform-layer incidents and participate in the on-call rotation to minimize downtime and restore service quickly.
- Develop automation tools and scripts to streamline operations, reduce manual effort, and enable engineering teams to operate their services safely.
- Forecast resource needs, optimize resource utilization, and ensure platform infrastructure can handle increasing workloads.
- Build and maintain CI/CD pipelines and deployment infrastructure for the platform.
- Identify opportunities to improve platform reliability, performance, and efficiency.
- Knowledge of AI/ML infrastructure and workloads.
- Knowledge of database technologies such as MongoDB and PostgreSQL.
- Experience operating software in customer-managed on-premises or customer-cloud environments.
- Exposure to manufacturing, semiconductor, or enterprise B2B customer environments.
- EKS experience.
- AWS experience.
About the company
Gauss Labs builds AI-powered software for manufacturing, with a focus on the semiconductor sector. Its products monitor and optimize factory processes by collecting machine-generated data from production lines and running AI models on scalable software infrastructure to detect anomalies, improve quality, and reduce downtime. The company differentiates itself through deep domain expertise in industrial AI, a leadership team with a background in enterprise ML and product development, and a cross‑border presence in Silicon Valley and Seoul to serve large manufacturing customers with enterprise-grade solutions. The goal is to make semiconductor factories more efficient and reliable by turning data into actionable insights and automated process improvements.
Company Size
51-200
Company Stage
Late Stage VC
Total Funding
$55M
Headquarters
Palo Alto, California
Founded
2020
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Simplify's Take
What believers are saying
- Gauss Labs launched Panoptes VM 2.0 on August 13, 2024.
- SK hynix expanded adoption into etching, after thin-film deposition gains.
- Gauss Labs claimed February 2026 near-100% wafer measuring and 15% variation reduction.
What critics are saying
- SK hynix wrote down Gauss Labs 60.2% on March 27, 2026.
- SK hynix pivoted toward Nvidia factories, weakening Gauss Labs's internal sponsor.
- Gauss Labs has never posted profit; cumulative losses reached 18.958 billion won.
What makes Gauss Labs unique
- Panoptes VM predicts all-wafer outcomes from fab sensor data in real time.
- SK hynix validated Gauss Labs at SPIE AL 2026 with two joint papers.
- Purpose-specific PSALM software runs hundreds of thousands of manufacturing models continuously.
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Benefits
- Competitive compensation + meaningful equity
- Generous PTO policy
- Comprehensive wellbeing benefits
- Paid family leaves
- L&D opportunities
- Additional benefits unique to each site