GrepJob
Nebius

Forward Deployed Engineer - Physical AI

Nebius
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about 3 hours ago
Remote, United StatesSenior / Staff+

Base Salary

$170k - $255k/yr

Responsibilities

  • Own discovery, technical scoping, system design, build, and production rollout for design partners.
  • Build and manage physical AI workflows across real-world and synthetic data.
  • Design evaluation workflows and failure analysis to improve model performance.
  • Integrate customer datasets and NVIDIA tools into the platform.
  • Develop custom technical integrations with key ecosystem partners.
  • Identify and productize generalizable prototypes into modular components.
  • Utilize modern AI coding tools to enhance engineering velocity.
  • Co-author technical artifacts to support broader sales efforts.
  • Maintain feedback channels to inform product development.
  • Represent Nebius at industry events and customer engagements.

Requirements

  • 6+ years of hands-on engineering experience in applied ML or physical AI.
  • Proven track record in building real ML systems beyond demos.
  • Strong Python skills and experience with ML frameworks like PyTorch.
  • Understanding of evaluation metrics and model improvement processes.
  • Experience with multimodal datasets including video and telemetry.
  • Fluency in modern AI coding tools for rapid software development.
  • Knowledge of GPU compute and distributed systems.
  • Ability to work directly in customer environments and earn credibility quickly.
  • Prototype mindset with a focus on practical engineering solutions.
  • Strong communication skills for technical discussions with customers.

Benefits

  • 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.
  • Remote work reimbursement of up to $85/month.
  • Company-paid short-term, long-term, and life insurance coverage.
  • Competitive compensation and career growth opportunities.
  • Flexibility and ownership in a collaborative culture.

Categories

AI & MLData ScienceEmbedded