> about P-1 AI

We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world—helping mankind conquer nature and bend it to our will. Our first product is Archie, an AI engineer capable of quantitative and spatial reasoning over physical product domains that performs at the level of an entry-level design engineer. We aim to put an Archie on every engineering team at every industrial company on earth.

Our founding team includes the top minds in deep learning, model-based engineering, and industries that are our customers. We just closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).

> about the role

As a MLOps Engineer, you will be responsible for building and deploying reliable and scalable (CPU/GPU-based) CI/CD and monitoring services supporting both LLM training/RL and inference/evals workloads at scale underpinning our AI system. We're looking for people with great engineering skills who are experienced working with large-scale, distributed software systems. You will get exposure and will be expected to solve and take ownership of components across the entire stack. You’ll work closely with research scientists and ML engineers to productionize novel models and ensure smooth transitions from experimentation to deployment.

> tech stack

• Python

• Container orchestration systems (Kubernetes, Docker, ECS…)

• IaC (terraform, ansible)

• Prometheus, Grafana

• at least one major cloud provider (e.g. Azure)

> location

This is a hybrid role but principally based in San Francisco. Candidates are expected to be located in the Bay Area or open to relocation.

> we expect you to

• have strong programming skills

• have experience building complex CI/CD workflows with GPU workers

• have basic familiarity with machine learning

• have experience with processing pipelines and data lifecycle management

• design and maintain observability tools to ensure reliable training, evals, and inference

• be excited about the prospect of building an engineering AGI

> ++

• you’ve built scalable & reliable CI/CD systems for an AI company/startup

• you’ve built impactful/popular open-source projects

> you will thrive in this role if

• you have a background in computer science, electrical engineering, physics, mathematics, or another theoretically and empirically rigorous field

• you love working in a fast-paced, dynamic startup environment

• you are intellectually curious and quick to pick up concepts outside of your direct areas of expertise

> interview process

• Initial screening - Head of Talent (30 mins)

• Hiring manager interview - with co-founder & Head of AI (45 mins)

• Technical Interview 1 (45 mins)

• Technical Interview 2 (45 mins)

• Culture fit / Q&A (maybe in person) - with co-founder & CEO