Software Engineer - AI Infrastructure
About The Position
Andromeda Cluster, founded by Nat Friedman and Daniel Gross, is on a mission to democratize access to cutting-edge AI infrastructure previously reserved for hyperscalers. What began with a single managed cluster has quickly evolved into a global platform, connecting leading AI labs, data centers, and cloud providers. Our orchestration layer seamlessly routes training and inference jobs across the world, unlocking flexibility and efficiency in one of the fastest-growing sectors on earth. Our long-term vision is to establish a global marketplace for AI compute—powering AGI with the same fluidity as world financial markets. We are scaling rapidly and seeking exceptional talent in AI infrastructure, research, and engineering. 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.
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 Haves
- 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.
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.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
