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Zettabyte

Software Engineering Intern (Summer 2026)

  • Seen live on Zettabyte's site 6 days ago
  • Intern / co-op
  • Remote
  • Summer 2026
Pay
Not stated
Location
United States
Open for
17+ days
First seen
Oct 18, 2026
Apply on Zettabyte's site (opens in a new tab)

Posting record

No flags

Open 17+ days

The posting's record, oldest first
  1. Zettabyte's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Zettabyte, so its true age is longer.

Last checked Oct 29, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

Software Engineering Intern

At Zettabyte , we're on a mission to make AI compute ubiquitous, seamless, and limitless . We're building a cloud where AI just works—anywhere, anytime. "AI Power. Everywhere." Be part of the team designing the infrastructure for the AI-first world.

Why This Role Exists

We're looking for a Software Engineering Intern to help us build the systems powering our GPU cloud platform. You'll contribute to real production code across cloud-native infrastructure, platform tooling, and backend services—working alongside a senior engineering team that moves fast and ships impactful work.

This is a unique opportunity for someone who's excited to work on AI infrastructure at scale in a high-growth startup. You'll own meaningful work from day one—not just tickets.

What You'll Do

  • Build and maintain cloud-native services and tooling supporting our GPU cloud platform
  • Work with Kubernetes to help manage, schedule, and optimize GPU workloads across clusters
  • Design and implement APIs, automation scripts, and internal tooling to improve platform reliability and developer experience
  • Contribute to infrastructure-as-code, CI/CD pipelines, and deployment automation
  • Write clean, well-documented code with testing and participate in code reviews
  • Collaborate cross-functionally with infrastructure, product, and research teams to ship real features
  • Leverage AI-assisted coding tools (GitHub Copilot, Cursor IDE, ChatGPT, etc.) to move fast and write quality code

You'll Thrive Here If You

  • Are currently pursuing a B.S. or M.S. in Computer Science, Engineering, Mathematics, or a related field
  • Have strong programming skills in Go (Golang), Python, C/C++, or similar
  • Demonstrate strong math and CS fundamentals — algorithms, data structures, discrete math, or systems
  • Have hands-on experience with Kubernetes, Docker, or cloud-native technologies
  • Are familiar with cloud platforms (GCP, AWS, or Azure) and how infrastructure fits together
  • Have worked with Git/GitHub and are comfortable in Linux/Unix environments
  • Can communicate complex technical ideas clearly, in writing and in code
  • Are curious, self-directed, and excited about working in an early-stage environment where your contributions matter
  • Have experience with competitive programming, research, or independent technical projects

Bonus If You Have

  • Experience with GPU infrastructure, NVIDIA tooling, or AI/ML workload orchestration
  • Familiarity with CNI plugins, network policy, or multi-tenant Kubernetes environments
  • Exposure to observability stacks (Prometheus, Grafana, alerting pipelines)
  • Background in distributed systems or storage (NFS, object storage, high-speed networking)
  • Contributions to open source cloud-native projects

Compensation & Perks

  • Competitive internship stipend commensurate with experience
  • Hands-on exposure to cutting-edge GPU cloud infrastructure and AI systems
  • Mentorship from senior engineers with deep expertise in AI infrastructure
  • Opportunity to convert to a full-time role for exceptional interns

Logistics & Compensation

  • Hybrid — 3 days in office (Palo Alto), 2 days WFH
  • Applicants must be authorized to work in the United States without visa sponsorship

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