Software Engineer - AI Infrastructure

Role Summary

SOFTWARE ENGINEER - AI INFRASTRUCTURE

Location: North America Remote / San Francisco · Full-Time

We sit at the center of three forces

• Companies that need reliable, high-performance compute fast
• A fragmented global supply of GPUs across hyperscalers, neoclouds, and independent data centers
• Capital, risk, and operational complexity that most teams are not equipped to manage

When we succeed, trillions of dollars of compute will flow through Andromeda. Builders get capacity when they need it. Providers get a reliable way to monetize, operate, and finance infrastructure at scale. Capital gets an easy way to deploy, hedge, and underwrite.

In five years, Andromeda won't just participate in the AI infrastructure market. We will shape it.

As an Infrastructure Product Engineer, you will play a pivotal role in building the backbone of Andromeda’s platform. You'll transform complex, real-world infrastructure challenges into scalable product capabilities that benefit our customers.

Positioned at the intersection of infrastructure and product engineering, this role is deeply technical and systems-oriented, yet laser-focused on building solutions with broad leverage.

Responsibilities

• Design and develop core platform components, including infrastructure orchestration, provisioning, and lifecycle management solutions.
• Build robust APIs, services, and control planes that abstract over diverse infrastructure types (VMs, Kubernetes, bare metal, schedulers).
• Translate customer usage patterns into product requirements, delivering impactful features and improvements.
• Create automation and internal tooling to eliminate manual or ad-hoc operational work.
• Enhance reliability, performance, and observability at the platform level, emphasizing durable improvements over quick fixes.
• Collaborate with peer teams to define clear ownership boundaries between platform capabilities and customer-specific solutions.
• Write clean, maintainable, and well-documented code with a focus on long-term sustainability.
• Participate in technical design discussions and contribute to the architectural evolution of our platform.

Requirements

• 5+ years of experience in Infrastructure, Platform, or Backend Engineering roles.
• Strong systems fundamentals: deep understanding of Linux, networking, storage, and distributed systems.
• Proven expertise with Kubernetes, VMs, or bare-metal environments.
• Advanced software engineering skills; capable of building production-grade APIs and services (Python, Go, or similar).
• Extensive experience with infrastructure as code and automation tools (Terraform, Ansible, Helm, etc.).
• Demonstrated ability to navigate ambiguity and distill complex problems into clear, maintainable abstractions.
• Product-focused mindset: care about interfaces, defaults, reliability, and sustainable operations.
• Excellent written and verbal communication skills; effective collaborator across engineering and product functions.

Nice to Have

• Hands-on experience with GPU or AI infrastructure.
• Experience with control-plane or orchestration systems.
• Background spanning both infrastructure and application/backend engineering.
• Experience architecting multi-tenant systems.
• Strong skills in technical writing and design documentation.
• Early-stage startup experience.

Benefits

This is a true builder’s opportunity: you’ll have ownership and autonomy to shape our systems, engage directly with customers and providers, and lay the foundations for scalable, reliable AI infrastructure. Join us at Andromeda and help power the future of AI.

About the Company

ABOUT ANDROMEDA

Andromeda is a market and infrastructure platform to buy, sell, and operate compute.

We believe demand for compute will grow exponentially. So fast that a handful of vertically integrated providers won't be able to scale across operations, capital, supply chains, and politics to serve it. The result is a massive wave of fragmentation, with AI factories of every shape and size coming to market to fill this demand. Our job is to enable all of that fragmented compute to flow through one platform, delivering reliable capacity to model builders, research labs, and inference providers when they need it. We believe every spare electron should be made productive for AI and we're building the platform that makes that possible.