Назад
9 дней назад

Staff Software Engineer, AI Security

230 000 - 270 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Software Engineer, AI Security (AI/Distributed Systems): Building a scalable and secure AI platform, foundational services, APIs, libraries, and SDKs for AI-powered security agents with an accent on identity, authentication, authorization, encryption, and platform safety. Focus on designing large-scale distributed systems, creating reusable security primitives and guardrails, and balancing reliability, scalability, security, and developer experience.

Location: Menlo Park, CA or Bellevue, WA; in-person attendance is expected at least 3 days per week.

Base pay: $230,000–$270,000 USD annually for Zone 1 locations. Additional compensation may include bonuses, equity, and benefits.

Company

Robinhood is a financial technology company focused on democratizing finance and building products for a broad consumer market.

What you will do

  • Design and build a scalable AI platform for security teams to develop, deploy, and operate AI-powered agents.
  • Build platform services, APIs, libraries, SDKs, and reusable developer tooling for AI security workflows.
  • Design secure systems with identity, authentication, authorization, encryption, and data protection controls.
  • Build and operate reliable, large-scale distributed systems for AI-powered security use cases.
  • Develop guardrails that enable teams to safely build and operate AI agents.
  • Partner with security, infrastructure, and engineering teams to shape platform architecture and improve performance, reliability, automation, and developer experience.

Requirements

  • 8+ years of software development experience and 6+ years building large-scale distributed systems.
  • Experience with AI platforms, AI infrastructure, or production systems supporting AI-powered applications or agents.
  • Proficiency in Go or Python, with strong production debugging and problem-solving skills.
  • Experience with cloud-native and distributed systems technologies such as AWS, Kubernetes, gRPC, or Kafka.
  • Strong understanding of security fundamentals, including authentication, authorization, identity, encryption, and secure production system design.
  • Experience delivering large engineering projects and collaborating across security and engineering teams.

Culture & Benefits

  • High-impact engineering work focused on AI, distributed systems, and security.
  • Performance-driven compensation with bonus opportunities, equity ownership, and 401(k) matching.
  • Health insurance, employer-paid life and disability insurance, fertility benefits, and mental health support.
  • Paid time off, sick time, company holidays, parental leave, and flexible lifestyle benefits.
  • Access to AI tools, continuous AI skill-building, catered meals, events, and comfortable office spaces.

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