Posting record
Open 13+ days
- Lyceum Technology.jobs.personio.com's site dates the posting
- Ghostless first sees this listing
- 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 Lyceum Technology.jobs.personio.com, so its true age is longer.
Last checked Nov 5, 2026.
How well do you match?
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Upload your resumeWhat it asks of you
- 0–2 years of experience
- PhD asked for
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.
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Skills mentioned
About the role
Your mission
Work with our team on designing and building a GPU platform for 10,000+ users. You'll tackle problems across cold-start times, performance, scalability, robustness, and security - at a scale where naive approaches break and every design decision matters.
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Your focus
- Â Â Â Â Â Â Â Â Â Platform development: Build and improve core platform services in Go and Python: the systems that allocate, schedule, and manage GPU resources for our customers.
- Â Â Â Â Â Â Â Â Â Performance and reliability: Profile, benchmark, and optimise critical paths. Investigate and fix issues in production.
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Your KPIs
- Â Â Â Â Â Â Â Â Â Code shipped and components owned
- Â Â Â Â Â Â Â Â Â Time-to-resolution on assigned issues
- Â Â Â Â Â Â Â Â Â Ramp speed and expanding scope of ownership over time
Your profile
We consider candidates from diverse backgrounds, with a deep love for technical challenges and the desire to take on ownership beyond what's reasonably expected.
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Requirements
- Â Â Â Â Â Â Â Â Â 0-2 years of work experience in a technical environment (internships count)
- Â Â Â Â Â Â Â Â Â Strong proficiency in Go and/or Python
- Â Â Â Â Â Â Â Â Â Comfortable working in Linux environments
- Â Â Â Â Â Â Â Â Â Genuine interest in infrastructure, distributed systems, or performance engineering
- Â Â Â Â Â Â Â Â Â High agency
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Nice to have
- Â Â Â Â Â Â Â Â Â PhD or publications in large-scale systems, distributed computing, or related fields
- Â Â Â Â Â Â Â Â Â Competition track record â olympiads, ICPC, Kaggle, top-100 in anything
- Â Â Â Â Â Â Â Â Â Contributions to open-source infrastructure projects
- Â Â Â Â Â Â Â Â Â Experience with Kubernetes, container runtimes, or GPU tooling
- Â Â Â Â Â Â Â Â Â Familiarity with networking, storage, or virtualisation at a systems level
Why us?
- Â Â Â Â Â Â Â Â Â Outstanding team: Work with some of the best engineers in the world, coming from hedge funds, big tech, AI startups and top universities.
- Â Â Â Â Â Â Â Â Â Once in a lifetime opportunity: Early-stage company in the fastest-growing market in the world
- Â Â Â Â Â Â Â Â Â Ownership: Shape how European AI companies access GPU compute
 -         European mission: Build sovereign, GDPR-compliant AI infrastructure for the next generation of deep-tech
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