Engineering Intern

Uniphore • Palo Alto, CA

30d • $45 - $68

About The Position

We're looking for a curious, driven engineering intern to join our Infrastructure & Platform Engineering team. This is a hands-on role where you'll work on real problems alongside senior engineers and contribute to systems that run in production and that real engineering teams depend on every day. You'll be embedded in the team that owns cloud-native infrastructure at scale spanning multi-cloud environments, hundreds of microservices, and engineering teams across the globe. Your work will focus on using AI and automation to eliminate toil, optimize infrastructure, and make engineers more productive and help the business increase velocity. If you're excited about Go, Kubernetes, and building tools that have real impact this is your role.

Requirements

• Currently pursuing a degree in Computer Science, Software Engineering, or a related technical field
• Comfortable learning Go (prior experience a plus, but not required)
• Foundational understanding of software development concepts: APIs, data structures, version control (Git)
• Curiosity about infrastructure topics such as Kubernetes, databases, cloud platforms, CI/CD, and the infrastructure that powers AI
• Interest in how AI and LLMs can be applied to real engineering workflows (not just theory)
• Strong problem-solving instincts and ability to work independently on a defined scope
• Good written communication: you'll document what you build

Nice To Haves

• Exposure to container technologies (Docker, Kubernetes)
• Familiarity with infrastructure-as-code (Terraform, Helm)
• Prior internship or personal projects involving backend services or CLI tooling
• Experience calling LLM APIs (OpenAI, Anthropic, etc.) or building AI-assisted tools
• Interest in optimization, scheduling, or resource allocation problems

Responsibilities

• GPU Resource Optimization: Explore and implement bin-packing algorithms or AI-assisted scheduling strategies to maximize utilization across GPU node pools in a multi-cloud environment.
• AI Ops Automation: Build LLM-powered tooling that automates operational tasks such as incident triage, runbook generation, or deployment analysis.
• Internal Developer Tooling: Design and build Go-based tools and automation that streamline engineering workflows. Think deployment operations, infrastructure audits and cost controls, status reporting, or integrations with platforms like Kubernetes or PagerDuty.
• Workflow Automation Pipelines: Build or extend automated deployment and orchestration workflows using tools like Temporal or ArgoCD, reducing manual steps in how we ship and operate software.

Benefits

• In addition to competitive base pay, this position also includes the option to enroll in our medical High Deductible Health Plan (HDHP), ModernHealth, our mental health support provider, and will be eligible for our sick time-off plan.

What This Job Offers

• Career Level: Intern