Key Responsibilities

Cloud Infrastructure & CI/CD

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

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.

Summer Robotics

New Jobs