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DevOps/IT Engineer

Actively Reviewing the Applications

Summer Robotics

India Full-Time On-site
Posted 4 days ago Apply by June 11, 2026

Job Description

Key Responsibilities

Cloud Infrastructure & CI/CD

  • Maintain and improve the Jenkins CI/CD infrastructure.
  • Scale Jenkins with on‑demand workers using AWS ECS and Terraform.

Docker & Container Management

  • 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.

AI/ML Infrastructure

  • 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.

Hardware & Lab Support

  • Support lab operations by preparing, installing, and maintaining workstations, Jetson.

Team Support & Collaboration

  • Assist engineers when blocked by DevOps, CI/CD, IT, or cloud‑related issues.
  • Optional: Build small internal web dashboards or automation tools.

Required Technical Skills

  • 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).
  • Optional but valuable:
  • Experience with NVIDIA Jetson boards (flashing, OS preparation, infrastructure validation).
  • Fullstack experience for building internal tools.

Ideal Candidate Profile

  • 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.
  • Experience working in fast-paced R&D or robotics/AI environments (preferred).
  • Ability to document processes, propose improvements, and work crossfunctionally with software teams.
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