Backend Software Engineer - AI Data Pipelines

We are helping a client that is looking for a Backend Software Engineer with 2+ years of experience to build the pipelines, systems, and infrastructure that power how leading AI labs process and make sense of audio data.

You'll join a tight-knit engineering team at one of the fastest-growing AI startups — founded in 2024 by former Scale AI engineers and operators, backed by NVIDIA, Meritech, Amplify Partners, First Round Capital and Y Combinator, and already serving most FAANG companies and frontier AI labs as customers. The team is ~50-66 people in San Francisco, and this role works across multiple products on a platform that processes terabytes of speech data every day.

What You'll Be Doing

• Building scalable backend systems and data processing pipelines that connect and power all three products
• Designing infrastructure that helps the platform scale efficiently as customer demand grows rapidly
• Working across the speaker platform, lab and researcher tools, and internal tooling

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• Collaborating closely with researchers to iterate on data collection infrastructure
• Architecting and maintaining APIs and services that thousands of users interact with daily

What We're Looking For

• 2-6 years of backend engineering experience as a hands-on individual contributor
• Proficiency in Python and TypeScript — Python is central to the technical interview

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• Experience at high-growth, VC-backed startups (not exclusively large or legacy companies)
• Demonstrated ownership of zero-to-one projects with measurable business impact
• Experience building scalable systems and data processing pipelines in production
• Familiarity with Node.js, PostgreSQL, or AWS; audio, ML, or data-infrastructure domain experience is a plus

Tech stack

Python, TypeScript, Node.js, tRPC, PostgreSQL, AWS, Trigger.dev, WebRTC, FFmpeg

Compensation And Logistics

• $175,000–$225,000 base depending on experience, plus competitive early-stage equity
• 100% health coverage on most plans, unlimited PTO, daily meals, and Barry's classes
• Five days a week in-office in San Francisco, CA
• Open to visa transfers, including OPT and H1B
• Four-step interview process: recruiter screen, hiring manager screen, technical/design interview, on-site