Posting record
Open 12+ days
- Lyceum'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, so its true age is longer.
Last checked Nov 3, 2026.
How well do you match?
See how much of this posting your resume shows, and what it's missing.
Upload your resumeWhat 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
The Role
As a Forward Deployed Engineer Intern, you own the technical side of our AI inference deals. You help customers figure out which models, GPUs and configurations fit their needs, run technical sessions with them, and work hand in hand with our commercial team to get deals closed.
This is not a pure engineering role: you'll spend a lot of time with customers, and we're looking for someone who enjoys exactly that. Much of this work is still manual today – you'll help us turn it into product.
What You'll Do
- Match customer requirements to the right models, GPUs and configurations for dedicated inference
- Run technical sessions with customers and help them make confident decisions
- Work in tandem with our commercial team to move deals forward
- Support serverless and API customizations, and help turn recurring ones into product
- Translate customer needs into clear technical specs for our engineering team
- Collect benchmarks and learnings that help us automate matching and customizations
What We're Looking For
- Studies in computer science, data science or a closely related field
- Interest in or first exposure to AI inference: LLMs, inference engines, GPUs
- Real excitement about working with customers and the commercial side – not just the technical one
- Strong communication skills: you talk confidently to customers and engineers alike
- An entrepreneurial mindset: give you an outcome, and you find a way without getting blocked
- You stay calm and constructive when your ideas are challenged
- Fluent English
Bonus Points
- Coursework or projects on inference engines or ML systems (e.g. vLLM, SGLang, TensorRT-LLM)
- Experience with GPU sizing, model serving, benchmarking or performance optimization
- A previous internship at an AI infrastructure or inference company
- Startup experience
- German
Why us?
- Outstanding team: Work with some of the best engineers in the world, coming from hedge funds, big tech, AI startups and top universities
- Once in a lifetime opportunity: Early-stage company in the fastest-growing market in the world
- Ownership: Shape how European AI companies access GPU compute
- European mission: Build sovereign, GDPR-compliant AI infrastructure for the next generation of deep-tech
Something wrong with this posting?