---
title: 'Platform Engineer at Zyphra'
canonical: 'https://feeny.ai/job/platform-engineer-zyphra-san-francisco-7nkavn90wn8m'
type: 'job'
last_seen: '2026-09-06'
---

# Platform Engineer at Zyphra

- **Company:** Zyphra
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-03-17
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/zyphra/bc101ab7-0440-4795-9b84-6f7efd9430e3

## Job description

ZYPHRA IS AN ARTIFICIAL INTELLIGENCE COMPANY BASED IN SAN FRANCISCO, CALIFORNIA.

## THE ROLE:

As a Platform Engineer, you’ll be responsible for designing and maintaining the systems that keep Zyphra’s infrastructure robust, observable, secure, and scalable. Your work will be essential to ensuring the reliability and reproducibility of ML workloads, the safety and control of deployments, and the long-term maintainability of our compute environments.

## YOU’LL WORK ACROSS:

- Building and improving observability systems (monitoring, logging, alerting)
- Managing Infrastructure as a Service across the stack along with CI/CD in close partnership with engineering teams
- Designing resilient build and deployment systems across research and production environments
- Implementing secure release processes with strong auditability and rollback support
- Collaborating closely with ML engineers, DevOps, and infra teams to improve system reliability and performance
- Leading incident response, root-cause analysis, and postmortems with a focus on learning and prevention
- This role is ideal for someone who loves building systems that make other teams faster, safer, and more productive

WHAT WE'RE LOOKING FOR / REQUIREMENTS:

- Experience in high-performance compute environments, such as ML clusters or GPU farms as well as hyperscaler cloud environments (i.e. AWS, GCP, etc.)
- Background in infrastructure as code (i.e., Terraform, Ansible, etc.)
- Familiarity with containers (i.e., Docker, Apptainer) and their integration with scheduling systems (i.e., Kubernetes, Slurm)
- Familiarity with software release engineering for ML/AI systems is a plus
- Experience managing run-books, DRP, change management, and general fault tolerance
- Experience with deployment strategies at scale
- Experience designing reliable environments for experimental workloads and reproducible runs
- Knowledge of compliance and audit standards in deployment and system security
- Experience with load testing, fault injection, and chaos engineering to harden systems under stress
- Passion for building tooling that makes infrastructure invisible and reliable for end users

## QUALIFICATIONS / ADDITIONAL SKILLS:

- Experience with infrastructure as code (e.g., Ansible, Terraform)
- Prior work supporting ML/AI infrastructure, including GPU management and workload optimization
- Exposure to backend development for ML model serving (i.e., vLLM, Ray, SGLang, Triton)

## WHY WORK AT ZYPHRA:

- Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued
- We strongly value new and crazy ideas and are very willing to bet big on new ideas
- We move as quickly as we can; we aim to minimize the bar to impact as low as possible
- We all enjoy what we do and love discussing AI

## BENEFITS AND PERKS:

- Comprehensive medical, dental, vision, and FSA plans
- Competitive compensation and 401(k) plan
- Relocation and immigration support on a case-by-case basis
- In-office snacks and meals provided
- Unlimited PTO and company holidays
- In-person team in San Francisco with a collaborative, high-energy environment

## About Zyphra

## Company Overview
- **One-liner**: Zyphra is a full-stack AI company building open foundation models and a sovereign cloud platform to deliver advanced AI to developers, enterprises, and hyperscalers.
- **Entity Type**: Private, Series A
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2020 (some sources cite 2021)
- **Founders**: Krithik Puthalath (CEO), Beren Millidge (Chief Scientist), Danny Martinelli (Head of Product), Tomás Figliolia (Chief Architect)

## Core Business
- **Primary industry**: Artificial Intelligence / Foundation Models / Cloud AI Infrastructure
- **Target customers**: Developers, enterprises, and "frontier AI hyperscalers" (B2B)
- **Mission or purpose**: "Open Superintelligence" – to enable sovereign, transparent, and customizable AI that runs on any hardware without vendor lock-in.

## Products & Services
- **[Zyphra Research](https://www.zyphra.com/)**: Open-source foundation models trained on heterogeneous compute, focusing on novel architectures for long-term memory, continual learning, and silicon performance. Released as research prototypes.
- **[Zyphra Cloud](https://www.zyphra.com/)**: Full-stack AI platform built on AMD, designed for long-horizon agents. Provides managed infrastructure for deploying, customizing, and running Zyphra's or third-party models with full data sovereignty.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding of **$11M** (Series A)
- **Notable Investors/Partners**: AMD, Intel Capital, Future Ventures, Bison Ventures, Transpose Platform, and others
- **Growth Signals**:
  - Headcount grew **151.9% YoY** to 53 employees
  - Operates in 5 countries (US, UK, Canada, India, Saudi Arabia) with offices in San Francisco, Palo Alto, and London
  - Active job postings: 14 (up 16.7% quarterly)
  - LinkedIn followers grew 236.3% year-over-year

## Competitive Advantages
- **Full-stack open-source approach**: Combines novel model architectures (probabilistic computing, heterogeneous compute) with a cloud platform optimized for long-horizon AI agents.
- **Hardware agnosticism**: Promises "run intelligence across any hardware and any provider, without lock-in," with early focus on AMD silicon.
- **Commitment to openness**: Models are transparent, allowing customers to audit reasoning and adapt to specific domains.
- **Sovereignty focus**: Enterprises own their models, data, and deployments – appealing to regulated industries.

## Strategic Focus
- **Priority on architecture innovation** (continual learning, long-term memory, silicon performance) over scaling existing methods.
- **Building a full-stack platform** that tightly couples research breakthroughs with a production-grade cloud service.
- **Scaling the team** aggressively – hiring across research engineering, platform, developer relations, and AI engineering.

## Why Work Here
- **Culture of open research**: Employees contribute to novel model architectures that are publicly released, offering a rare blend of academic freedom and product impact.
- **Heavy engineering focus**: 57% of the team is in technical roles, with a flat structure (62% specialist-level roles).
- **Locations**: San Francisco (HQ) and London, with potential for remote-friendly roles (not explicitly stated).
- **Notable perks**: Not detailed publicly, but typical for a well-funded Series A startup (equity, benefits, etc.).
- **Growth trajectory**: 150%+ headcount growth signals rapid scaling and career advancement opportunities.

## Sources
1. [zyphra.com](https://www.zyphra.com/)
2. [zyphra.com about](https://www.zyphra.com/about)
3. [jobs.ashbyhq.com/zyphra](https://jobs.ashbyhq.com/zyphra)
4. [linkedin.com/company/zyphra](https://www.linkedin.com/company/zyphra)
5. [cbinsights.com/company/zyphra](https://www.cbinsights.com/company/zyphra)

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- [Research Engineer - Model Architectures](https://feeny.ai/job/research-engineer-model-architectures-zyphra-san-francisco-q2xft42gbdne) — San Francisco, CA
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