Staff DevOps Engineer

Cognichip

Redwood City (CA)

On-site

USD 140,000 - 190,000

Full time

35 hours ago
Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Hybrid work model (4 days in office, 1

Job summary

Cognichip, Inc. is hiring a Staff DevOps Engineer to architect and implement DevOps and MLOps frameworks for an enterprise-grade semiconductor design automation platform.

You will design, provision, and manage AWS infrastructure using IaC and modern container orchestration to enable reliable, scalable operations. Join a fast-moving AI startup with a collaborative culture; the role emphasizes security, monitoring, CI/CD, and cross-team collaboration.

Qualifications

  • Master’s degree in CS/EE/CE or closely related field.
  • 3+ years in DevOps/Cloud/Systems engineering with AWS.
  • Experience with Terraform IaC and container orchestration.
  • Proficient in CI/CD tooling (Jenkins, Git).
  • Monitoring and observability using Prometheus, Grafana, or ELK.

Responsibilities

  • Architect and implement DevOps and MLOps frameworks.
  • Design and manage AWS infrastructure using IaC.
  • Develop and maintain CI/CD pipelines.
  • Set up monitoring, logging, and alerting systems.
  • Apply security best practices and access controls.

Skills

Cloud infrastructure design
CI/CD automation
MLOps experience

Education

Master’s degree in CS/EE/CE

Tools

Terraform
Docker
Kubernetes
Jenkins
Git
Prometheus
Grafana
ELK Stack

Job description

About Cognichip

At Cognichip, we are building AI-native tools that transform how semiconductor engineers create, verify, and optimize chips. Our platform combines large proprietary models, agentic workflows, domain‑specific engineering intelligence, and high‑performance simulation infrastructure to accelerate one of the world’s most complex engineering disciplines.

Job Title

Staff DevOps Engineer

About Cognichip

At Cognichip, we are building AI-native tools that transform how semiconductor engineers create, verify, and optimize chips. Our platform combines large proprietary models, agentic workflows, domain‑specific engineering intelligence, and high‑performance simulation infrastructure to accelerate one of the world’s most complex engineering disciplines.

About The Role

Cognichip is looking for a motivated Staff DevOps Engineer to join their team. You will architect and implement comprehensive DevOps and MLOps frameworks to support an enterprise‑grade semiconductor design automation platform. Your work will directly impact our core infrastructure by designing, provisioning, and managing AWS cloud infrastructure using Infrastructure as Code (IaC) principles and modern container orchestration technologies.

Key Responsibilities
  • Architect and implement comprehensive DevOps and MLOps frameworks to support an enterprise‑grade semiconductor design automation platform.
  • Design, provision, and manage AWS cloud infrastructure using Infrastructure as Code (IaC) principles and modern container orchestration technologies.
  • Develop and maintain robust CI/CD pipelines to enhance development efficiency and deployment velocity.
  • Establish and maintain advanced monitoring, logging, and alerting systems to ensure high system availability and performance.
  • Implement security best practices, access controls, and compliance measures across the cloud infrastructure.
Required Qualifications
  • Education: Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a closely related field.
  • Experience: 36 months of experience as a DevOps Engineer, Cloud Engineer, Systems Engineer, or related.
  • Designing and managing cloud infrastructure on AWS.
  • Implementing Infrastructure as Code (IaC) using Terraform.
  • Containerization and orchestration utilizing Docker and Kubernetes.
  • Building CI/CD pipelines using Jenkins and Git.
  • Setting up monitoring and observability tools (e.g., Prometheus, Grafana, or ELK Stack).
  • Supporting ML/AI infrastructure or MLOps deployment pipelines.
What It's Like Here

We’re a fast‑moving AI startup with a collaborative, high‑trust culture. We value technical excellence, ownership, and the freedom to experiment. Our best work happens when our builders and innovators work closely together to turn ambitious ideas into category defining products. We operate on a hybrid schedule with four days in office, one day remote. If you’re excited to build cutting edge tools that empower semiconductor engineers and reshape how chips are designed, you’ll feel right at home.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Staff DevOps & MLOps Engineer — Hybrid Role
Staff DevOps & MLOps Engineer — Hybrid Role

Cognichip, Inc. • Redwood City (CA)

On-site
USD 140,000 - 190,000
Hybrid work model (4 days in office, 1
Staff Silicon Engineer
Staff Silicon Engineer

Cognichip • Redwood City (CA)

Hybrid
USD 130,000 - 160,000
Staff Chip Design Engineer
Staff Chip Design Engineer

Cognichip • Redwood City (CA)

Hybrid
USD 150,000 - 200,000
Staff Software Engineer - Data Pipelines for AI + Chip Design
Staff Software Engineer - Data Pipelines for AI + Chip Design

Cognichip • Redwood City (CA)

On-site
USD 120,000 - 160,000
Senior Design Verification Engineer
Senior Design Verification Engineer

Cognichip • Redwood City (CA)

Hybrid
USD 140,000 - 210,000
Staff CAD/EDA Tools Engineer
Staff CAD/EDA Tools Engineer

Cognichip • Redwood City (CA)

Hybrid
USD 180,000 - 240,000
Staff Chip Engineer- Agentic Workflow
Staff Chip Engineer- Agentic Workflow

Yugal Tech Academy • Redwood City (CA)

On-site
USD 150,000 - 200,000
Silicon Engineer
Silicon Engineer

Cognichip • Redwood City (CA)

Hybrid
USD 100,000 - 140,000
Staff Product Manager
Staff Product Manager

Cognichip • Redwood City (CA)

Hybrid
USD 170,000 - 210,000
AI Infrastructure & Platform Ops Manager
AI Infrastructure & Platform Ops Manager

Cognichip, Inc. • Redwood City (CA)

On-site
USD 180,000 - 240,000