Full-Time

Devops Engineer

Confirmed live in the last 24 hours

Gauss Labs

Gauss Labs

51-200 employees

AI solutions for semiconductor manufacturing efficiency

Industrial & Manufacturing
AI & Machine Learning

Senior, Expert

Palo Alto, CA, USA

Hybrid position based in Palo Alto, CA.

Category
DevOps & Infrastructure
DevOps Engineering
Required Skills
Kubernetes
Docker
AWS
Jenkins
Terraform
Development Operations (DevOps)
Requirements
  • Computer Science or related degree.
  • 5-10 years of experience in DevOps or Software Engineering roles, with a proven track record of supporting Kubernetes environments.
  • Ability to write applications and tooling, contributing to development efforts and automating processes.
Responsibilities
  • Build, deploy, and manage containerized applications using Docker and Kubernetes, ensuring scalability, reliability, and fault tolerance.
  • Design, implement, and maintain CI/CD pipelines using GitHub Actions, Jenkins, and ArgoCD to ensure efficient and reliable software delivery.
  • Ensure compliance with security standards such as NIST, SOC, and SEMI by implementing best practices and controls to maintain data security and integrity.
  • Develop Infrastructure as Code (IaC) using Terraform to manage AWS environments, including network configurations, security groups, and resource provisioning.
  • Optimize cloud infrastructure costs and performance by evaluating resource usage, identifying inefficiencies, and implementing solutions to reduce expenses while maintaining performance standards.
  • Provide guidance and mentorship to engineers across the company, offering best practice advice on Kubernetes, deployment strategies, scalability solutions, and observability techniques.

Gauss Labs develops AI solutions specifically for the semiconductor manufacturing industry. Their technology focuses on process monitoring and optimization, using machine-generated data to enhance factory intelligence and efficiency. By improving production quality and reducing downtime, Gauss Labs helps semiconductor manufacturers operate more effectively. Unlike many competitors, Gauss Labs tailors its AI infrastructure and software products to meet the unique needs of the manufacturing sector. The company's goal is to transform manufacturing processes through advanced AI, making factories smarter and more efficient.

Company Stage

Late Stage VC

Total Funding

$53.5M

Headquarters

California City, California

Founded

2020

Growth & Insights
Headcount

6 month growth

10%

1 year growth

10%

2 year growth

24%
Simplify Jobs

Simplify's Take

What believers are saying

  • AI-driven predictive maintenance is gaining traction, aligning with Gauss Labs' focus.
  • AI-based virtual metrology adoption is increasing, benefiting Gauss Labs' Panoptes VM.
  • Demand for AI solutions in semiconductor manufacturing is expected to grow at 40% CAGR.

What critics are saying

  • Increased competition from established AI companies like Siemens and GE.
  • Potential over-reliance on SK hynix as a major client.
  • Rapid technological advancements could lead to obsolescence if innovation lags.

What makes Gauss Labs unique

  • Gauss Labs specializes in AI solutions for semiconductor manufacturing, a niche market.
  • Their Panoptes VM 2.0 offers real-time, all-wafer measurement data, enhancing process efficiency.
  • The leadership team has deep expertise in AI, with experience from companies like Skytree.

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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