Staff / Senior Software Engineer

Suno Suno · Multimodal · Boston, MA · Engineering

Staff/Senior Software Engineer role at Suno, a fast-growing AI music company, focusing on building and scaling consumer-facing products. The role involves end-to-end ownership of backend and full-stack systems, including AI-powered visual products and optimizing inference costs/latency. Requires strong software engineering experience, API design skills, and comfort with ambiguity. Experience with AI model inference, recommendation systems, or social features is a plus.

What you'd actually do

  1. Own products and systems end-to-end — from scoping what to build, to shipping, to monitoring and iterating post-launch
  2. Build backend and full-stack systems that serve millions of users with high performance and reliability
  3. Design clean, scalable APIs consumed by web, iOS, and Android clients
  4. Collaborate closely with Product, Design, Data Science, and peer engineering teams
  5. Run experiments, instrument metrics, and make data-informed decisions about what to build next

Skills

Required

  • 5-7+ years of software engineering experience
  • Backend or full-stack experience building consumer products at scale
  • Strong API design skills
  • Generalist, get-it-done attitude
  • Comfort with high ambiguity
  • Excellent communication skills
  • Product intuition

Nice to have

  • Experience with feed architecture, recommendation systems, content ranking, or search/retrieval at scale
  • Experience shipping social product features
  • Power user of social media
  • Hands-on experience with AI image and/or video model inference
  • Full-stack capability including modern frontend (React, TypeScript, NextJS)
  • Mobile-first API design experience
  • Experience building 0→1 products
  • Web experience with Python, Django, Kafka, Elasticsearch, Postgres, Redis
  • Technical leadership experience
  • A love of music

What the JD emphasized

  • AI music generation
  • AI-powered visual products
  • cutting-edge inference models
  • novel interface design patterns
  • reducing inference costs and latency for AI-generated content at consumer scale
  • AI image and/or video model inference
  • diffusion models
  • token-based inputs
  • LoRA tuning
  • inference optimization

Other signals

  • AI music generation
  • consumer-facing products at scale
  • end-to-end ownership
  • rapidly turning ambiguous problems into world class production-grade products