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Nebius

Forward Deployed Engineer - Physical AI Cloud Platform

Nebius · Remote - United States

Posted about 2 months ago

or apply directly on Nebius's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
Nebius's roles stay open a median of 66 days
Reposted
No
Salary listed
No
9% of Nebius's roles list one
Ghost-job risk at Nebius
high
318 stale, 17 reposted of 384 open
Hiring momentum
508 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from Nebius's own greenhouse board since 2026-08-03. Full hiring picture for Nebius.

About this role

The Forward Deployed Engineer at Nebius is responsible for building and operating the cloud infrastructure that supports physical AI workloads for strategic customers. This role involves end-to-end ownership of infrastructure design, deployment, and optimization, ensuring that the platform is reliable, scalable, and secure. The engineer will collaborate closely with various teams to turn customer needs into reusable platform capabilities and will utilize modern AI coding tools to enhance engineering velocity.

Our read on this posting2.8out of 5
benefits
3/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Nebius as an employer.

What you need

  • 6+ years of hands-on engineering experience in backend, cloud infrastructure, platform engineering, or SRE roles
  • Experience building distributed systems and compute platforms
  • Strong programming skills in Python, Go, or similar languages
  • Fluency in modern AI coding tools for software development
  • Experience with Kubernetes, containers, CI/CD, and infrastructure as code
  • Familiarity with GPU workloads and HPC environments

Nice to have

  • Prior experience as a Forward Deployed Engineer or in a similar role
  • Experience with Nebius, AWS, GCP, Azure, or similar AI cloud infrastructure
  • Familiarity with orchestration tools like Slurm, Kubernetes GPU scheduling, or Airflow
  • Experience with ML training infrastructure and large-scale data pipelines
  • Experience supporting enterprise customers or production pilots

What you get

  • 100% company-paid medical, dental, and vision coverage for employees and families
  • 401(k) plan with up to 4% company match and immediate vesting
  • 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers
  • Remote work reimbursement up to $85/month for mobile and internet
  • Company-paid short-term, long-term, and life insurance coverage

Worth weighing

  • Remote work is available but preferred locations are SF Bay Area, CA or Austin, TX
  • The role requires high autonomy and navigating ambiguity, which may not suit everyone
  • The compensation range is provided but actual pay may vary based on multiple factors
  • The job involves significant customer interaction, which may require strong interpersonal skills

Summarised from Nebius's posting. Read the full original.

Listed by Nebius on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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