P-1 AI

Platform Engineer

P-1 AI
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16 days ago
Remote, United States or San Mateo, CA, USASenior
H1B sponsor

Base Salary

$200k - $275k/yr

Responsibilities

  • Own and evolve Archie’s BYOC deployment architecture across customer environments.
  • Build and operate Kubernetes-based infrastructure across multiple clouds and customer setups.
  • Create repeatable deployment and operations tooling using Helm, GitOps, or similar approaches.
  • Implement secure and reliable update and upgrade mechanisms for restricted or locked-down network environments.
  • Partner with product, research, and forward-deployed engineering teams to translate requirements into platform capabilities.
  • Debug production deployments and improve performance, reliability, and operability.
  • Establish observability, monitoring, and debugging patterns for distributed systems.

Requirements

  • Production experience building and operating Kubernetes-based systems.
  • Experience designing infrastructure with infrastructure-as-code tools such as Terraform or Pulumi.
  • Experience implementing CI/CD or GitOps workflows across environments.
  • Comfort working across AWS, GCP, and Azure and understanding their core primitives.
  • Experience with systems requiring strong security and networking considerations, including VPCs, identity, and encryption.
  • Ability to own problems end-to-end and work effectively in ambiguous 0-to-1 environments.
  • A proactive approach to using and evolving AI tools for technical work.

Benefits

  • Remote work in the US or Canada or an office-based role in San Mateo, California.
  • Remote employees spend one week out of six working onsite in the San Mateo office.
  • Relocation support is available.
  • Competitive salary and meaningful equity ownership.
  • Healthcare, dental, vision, 401(k) match, and unlimited PTO.
P-1 AI

About P-1 AI

11-50 employees

P-1 AI builds an AI engineer agent, Archie, that assists mechanical and electrical teams in designing complex physical products using the same CAD/CAE tools engineers use. It sells enterprise AI software to engineering organizations, focusing on autonomous design exploration, evaluation, and multi-physics reasoning. Founded in 2024 and privately held, the company announced a Series A led by NEA, with former General Electric CEO Jeff Immelt joining its board.

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