Staff Software Engineer, Robinhood
AI Security
$180-270k
Plus bonus programs, and equity ownership
3-5 days a week in office (Menlo Park, CA)
Commission-free stock trading & investing app
Be an early applicant
Commission-free stock trading & investing app
1001+ employees
Be an early applicant
$180-270k
Plus bonus programs, and equity ownership
3-5 days a week in office (Menlo Park, CA)
1001+ employees
Company mission
To democratize finance for all.
Role
Who you are
- 8+ years of software development experience
- 6+ years of experience building large-scale distributed systems, with experience designing systems around security concepts such as authentication, authorization, identity, or encryption
- Experience building AI platforms, AI infrastructure, or production systems that support AI-powered applications or agents
- Proficiency in Go or Python, with strong problem-solving and production debugging skills
- Experience with cloud-native platforms and distributed systems technologies such as AWS, Kubernetes, gRPC, or Kafka
- Strong understanding of security fundamentals and experience incorporating security into the design of production systems
- Experience designing and building reusable platform capabilities, APIs, libraries, or developer tooling
- Proven experience delivering large engineering projects with meaningful, long-term impact
- Strong technical judgment and the ability to make thoughtful trade-offs across security, reliability, scalability, and developer experience
- Ability to solve complex engineering problems and collaborate effectively across security and engineering teams
What the job involves
- As a Staff Software Engineer on the AI Security team, you’ll help lead and build the foundational platform, infrastructure, and security primitives that make it easier for teams to develop AI-powered security capabilities at scale
- You’ll work on complex engineering problems at the intersection of AI, distributed systems, and security, with a particular focus on areas such as identity, authentication, authorization, encryption, and platform safety
- You’ll partner closely with security and engineering teams across Robinhood to create systems that make AI development easier while ensuring security is built into the platform from the start
- This is a hands-on engineering role for someone who enjoys building platforms, solving complex technical problems, and helping shape how AI is securely adopted across security
- Design and build a scalable AI platform that enables security teams to develop, deploy, and operate AI-powered agents and security capabilities
- Build foundational platform services, APIs, libraries, and SDKs that make it easier for teams to integrate AI into security workflows
- Design secure systems with strong identity, authentication, authorization, encryption, and data protection controls
- Build and operate reliable, large-scale distributed systems that support AI-powered security use cases
- Develop platform capabilities and guardrails that enable teams to safely build and operate AI agents
- Partner with security, infrastructure, and engineering teams to understand their needs and translate them into reusable platform capabilities
- Identify opportunities to improve platform performance, developer experience, reliability, and security through automation
- Help shape the technical direction and architecture of Robinhood’s AI Security platform as the team and platform continue to grow
Our take
For years, traditional brokers ruled the share trading realm, charging hefty fees that locked out everyday investors. Robinhood emerged as a disruptor, offering commission-free trading and opening the door to a new generation. Since then, expectations have continued to evolve, with investors looking not just to lower costs, but for simpler tools, clearer information, and guidance that makes the market easier to understand.
Robinhood was built to meet those changing expectations, designed from the start as a mobile-first platform that makes investor more accessible and less intimidating for people at every stage of their financial journey. Through its app, users can trade stocks and other financial instruments while benefiting from a clean interface and built-in educational support, helping them move from curiosity to confidence without unnecessary complexity.
Recently, Robinhood has strenghtned its impact too, particularly in the UK. With the launch of AI-powered Digests within its Robinhood Cortex assistant that helps users understand what's driving stock movements in plain English, while upcoming options trading and expanded educational resources add flexibility and depth. Together, these steps position Robinhood as a platform evolving alongside its users, blending technology and education to stay ahead in an ever-changing investment landscape.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 13 rounds)
Feb 2021
$2.4bn
CONVERTIBLE
Jan 2021
$1bn
LATE VC
Total funding: $5.6bn
Company HQ
Downtown Menlo Park, Menlo Park, CA
Leadership
Vlad Tenev
(Co-Founder, CEO & Chairman)Studied Mathematics at Stanford University, where they met Baiju. Dropped out of a PhD to start Robinhood. Alongside Robinhood, Vlad is also the co-founder and Executive Chairman of Harmonic.
Baiju B.
(Co-Founder)Studied Mathematics and Physics at Stanford University, where they met their Vlad and co-founded Robinhood in 2012. Baiju is also the Founder and CEO of Aetherflux.
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