Key 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.

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.

· 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.

· 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.

· 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.