Member of Technical Staff

Amigos; San Francisco (CA); On-site; USD 300,000 - 600,000; Full time

Job summary

A leading technology company in San Francisco is seeking a Senior Software Engineer to develop core infrastructure for AI systems. The successful candidate will have a strong background in full-stack or infrastructure systems and a degree from a top-tier university. This role involves collaboration with top researchers to create scalable solutions that can handle complex AI workloads. Competitive salary range is offered, reflecting skills and experience.

Qualifications

• 3+ years owning production full-stack or infrastructure systems.
• Strength in low-level infrastructure or distributed systems.
• Explicit interest or experience in reinforcement learning.

Responsibilities

• Build and own core infrastructure supporting RL environments.
• Design systems that scale reliably under real-world AI workloads.
• Collaborate closely with researchers to translate ideas into production systems.
• Leverage coding agents to accelerate execution.
• Take full ownership from architecture to delivery.

Skills

Reinforcement learning

Distributed systems

Python or similar language

Full-stack system ownership

Education

STEM degree from a top 30 university

Job description

This range is provided by Amigos. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$300,000.00/yr - $600,000.00/yr

Direct message the job poster from Amigos

Be at the absolute frontier of AI development building the infrastructure, environments, and systems that enable the next generation of intelligent agents.

We're hiring Senior Engineers that will be part of a deeply technical, fully hands‑on engineering team, tackling problems that if solved, would unlock double‑digit economic growth. The work spans reinforcement learning environments, large‑scale simulation, realistic task generation, and the infrastructure required to support it all at scale.

Backed by top‑tier venture capital firms (including Sequoia Capital) and growing rapidly, this company is building auto‑scaling infrastructure used by major hyperscalers, serving some of the smartest researchers and engineers in the world.

Ideal for engineers who:

• Want their work to materially shape the future of AI systems
• Use AI tools and coding agents as force multipliers
• Move fast
• Think deeply
• Take ownership

What You’ll Do:

• Build and own core infrastructure supporting RL environments, simulated data, and representative tasks
• Design systems that scale reliably under real‑world AI workloads
• Collaborate closely with researchers and engineers to translate ideas into production‑grade systems
• Leverage fleets of coding agents to accelerate execution
• Take full ownership from architecture to delivery

What We’re Looking For:

• STEM degree from a top 30 university
• 3+ years owning production full‑stack or infrastructure systems (Python or similar language)
• Strength in at least one of: Low‑level infrastructure, distributed systems
• Explicit interest or experience in reinforcement learning
• Bias toward execution over theory

Click apply now to find out more.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Software Development

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