Software Engineer – AI Infrastructure

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🕒 Fevereiro 27

🏄 California – Remoto

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⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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👻 Score fantasma 45%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Andromeda

Andromeda

11 - 50 funcionários

🏥 Saúde

💼 Consultoria

🏨 Hospitalidade

💰 $15.142.238 Series A - Andromeda Robotics em 2025-09

Healthcare • Consulting • Hospitality

A Andromeda é um serviço de computação com GPU e um marketplace que oferece acesso instantâneo a grandes clusters de aceleradores H100, H200 e B200 para experimentos, treinamentos em larga escala e inferência. Suporta orquestração com Slurm, Kubernetes ou SSH direto, oferece uso flexível sem duração mínima e preços competitivos, inclui expertise em DevOps, armazenamento local NAS ou transmitido sem taxas de entrada/saída, e suporte 24/7 com SLAs do setor. A empresa também opera um marketplace de GPUs de terceiros em gpulist. ai.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• Ownership and autonomy to shape systems • Engage directly with customers and providers • Lay foundations for scalable, reliable AI infrastructure • True builder’s opportunity

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