DevOps/IT Engineer

Summer Robotics • Campbell, CA

4d • Onsite

About The Position

We are seeking a DevOps/IT Engineer to join our team. This role involves maintaining and improving our cloud infrastructure, CI/CD pipelines, and AI/ML infrastructure. You will be responsible for scaling our Jenkins infrastructure, managing Docker images, and supporting our AI/ML training environments. Additionally, you will provide IT support to our engineering team, troubleshoot issues, and potentially build internal tools. The ideal candidate is comfortable with in-office collaboration, possesses strong problem-solving skills, and has experience in fast-paced R&D or robotics/AI environments.

Requirements

• Proficiency with AWS services (EC2, S3, IAM, ECR, VPC, autoscaling).
• Good knowledge of Terraform and Infrastructure as Code methodologies.
• Hands-on experience maintaining Jenkins CI/CD pipelines.
• Experience with C++ compilation toolchains (understanding build systems, not necessarily writing C++).
• Strong Docker knowledge.
• General IT infrastructure knowledge (networking basics, system administration, Linux environments).
• Fullstack experience for building internal tools.
• Comfortable with in-office collaboration (5 days/week in Campbell, CA).
• Comfortable supporting multiple engineers daily, including rapid troubleshooting.
• Strong problem-solving skills and ability to autonomously improve existing systems.
• Ability to document processes, propose improvements, and work crossfunctionally with software teams.

Nice To Haves

• Experience with NVIDIA Jetson boards (flashing, OS preparation, infrastructure validation).
• Experience working in fast-paced R&D or robotics/AI environments.

Responsibilities

• Maintain and improve the Jenkins CI/CD infrastructure.
• Scale Jenkins with on-demand workers using AWS ECS and Terraform.
• Maintain and evolve custom Docker images based on NVIDIA CUDA for AMD and Jetson (ARM-based).
• Improve CI/CD caching strategies to significantly reduce Docker build times.
• Maintain IaC for training AI/ML models using Terraform and SageMaker AI.
• Optionally integrate with a Dashboard for training orchestration and monitoring: Tensorboard or Weights & Biases.
• Support lab operations by preparing, installing, and maintaining workstations, Jetson.
• Assist engineers when blocked by DevOps, CI/CD, IT, or cloud-related issues.
• Optional: Build small internal web dashboards or automation tools.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed