Job Description: Software Engineer, AI Infrastructure

Position Overview

Superblocks is seeking exceptional engineers to join our team in reimagining software development for a billion builders. Our mission is to empower every team to build, deploy, and manage AI-powered software with full control and flexibility. We are one of the fastest-growing AI startups, backed by top-tier investors and adopted by leading companies.

Why Join Us?

• Fast-growing AI startup: Backed by top investors and adopted by companies like Instacart, Sofi, Betterment, and Carrier.
• Experienced team: Our team comprises individuals from Uber, Stripe, Datadog, Confluent, Elastic, and Google, with experience founding/architecting systems like Kafka, Kibana, Debezium, and Datadog APM.
• Strong product adoption: Our AI builder, Clark, has seen overwhelming response and strong enterprise adoption.
• Location: Fully in-person at our NYC HQ near Union Square.
• Impactful work: Play a key role in designing and developing core systems that power and manage hundreds of thousands of AI applications.

The Role

You will be instrumental in building and operating complex infrastructure in production, innovating new AI agent architectures, and collaborating with sharp engineers. This is an opportunity to build the core infrastructure powering the next billion AI-powered apps.

Responsibilities

• Architect and operate scalable production systems supporting both multi-tenant cloud and on-premise deployments.
• Design and develop a real-time distributed execution engine that powers all AI applications, workflows, and agents.
• Build, deploy, and optimize AI agent architecture, guardrails, and evaluations.
• Partner with product and customers to define the roadmap and bring new builder and AI experiences to life.

Requirements (Must Haves)

• 3+ years of experience managing cloud-based production apps with deep knowledge of containers, VMs, caches, task queues, networking, and OS.
• Proven experience designing and deploying infrastructure in production at scale with containerized solutions like Docker, Kubernetes (k8s), ECS/EKS, Firecracker, etc.
• Strong product sense focused on great user experiences and strategic thinking to meet market and customer needs.

Nice to Haves

• Experience building and operating production AI systems and familiarity with AI inference techniques.
• Experience optimizing language runtimes and enabling cross-language integration (e.g., Go, Python, C), including customizing or building WASM compilers and runtimes.
• Experience with machine learning algorithms, platforms, and frameworks like PyTorch and Tensorflow.

Compensation

• Base Salary: $175,000–$225,000+ USD
• Equity: Generous equity package
• Benefits: Comprehensive benefits package
• Final compensation will be based on experience and skills.

Application Instructions

If you're excited to build the core infrastructure powering the next billion AI-powered apps, let's talk.