Staff Software Engineer

About the Role

We're looking for a Staff Software Engineer to lead the design and development of systems at the intersection of Security and AI. This team builds intelligent systems that proactively detect, prevent, and respond to security and privacy risks across code, data, infrastructure, and AI-powered products.

As a Staff Engineer, you will operate as a technical leader-owning critical architecture, driving complex initiatives end-to-end, and setting the standard for engineering excellence across the team.

---- What the Candidate Will Do ----

1. Lead the architecture and development of large-scale systems for risk detection, classification, and automated remediation
2. Drive end-to-end technical initiatives, from problem definition through production deployment and iteration
3. Design systems that leverage ML/AI techniques to improve security signal quality, reduce false positives, and scale detection capabilities
4. Build and evolve platform capabilities that integrate security signals into developer workflows and infrastructure
5. Partner closely with engineers, applied scientists, and product stakeholders to translate ambiguous problems into scalable solutions

Act as a technical mentor and multiplier, raising the bar for design, code quality, and operational excellence across the team

---- Basic Qualifications ----

1. Strong experience building and scaling distributed systems or platform infrastructure
2. Proven ability to lead complex technical projects with significant cross-team dependencies
3. Deep expertise in system design, reliability, and performance at scale
4. Ability to operate effectively in ambiguous, fast-moving problem spaces
5. Experience working with or alongside ML/AI systems (e.g., classification, anomaly detection, LLM-powered workflows)
6. Strong communication skills and ability to influence technical direction beyond your immediate team

---- Preferred Qualifications ----

1. Experience in security, privacy, or trust-related systems
2. Familiarity with LLMs or GenAI systems in production
3. Background in risk detection, fraud, or anomaly detection systems

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Ready to Ride?

This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.