Uber · 6 hours ago
Senior Security Engineer (AI & Agentic Systems)
San Francisco, CA
Full-time
Onsite
Mid, Senior Level
$202K/yr - $224K/yr
4+ years expUber is looking for a Senior AI Red Team Engineer to enhance the security of their AI systems. The role involves designing and executing red-teaming exercises to identify and mitigate AI-native security risks, collaborating with various teams to implement findings and contribute to the overall AI security strategy.
LogisticsMobile AppsRide SharingSoftwareTransportation
Responsibilities
Design and execute AI red-teaming exercises against LLMs and AI agents, including:
Prompt injection (direct & indirect)
Jailbreaking and policy bypass
Model and tool poisoning
Memory and context poisoning
Behavioral drift and unsafe autonomy
Tool misuse and emergent privilege escalation
Analyze agent workflows, logic, and tool graphs to identify systemic security weaknesses beyond prompt-level attacks
Develop reusable adversarial test cases, attack libraries, and red-team playbooks for AI systems
Collaborate with AI platform and product teams to translate red-team findings into actionable mitigations, guardrails, and design changes
Partner with broader security teams (AppSec, InfraSec, Privacy, Risk) to integrate AI red teaming into the SDLC and launch gates
Contribute to AI security strategy, helping define how we evaluate and secure agentic systems at scale
Stay ahead of emerging AI threats, tracking industry research, incidents, and attack techniques relevant to AI and autonomous systems
Qualification
Required
4+ years of experience in security engineering, offensive security, or red teaming
Hands-on experience red-teaming AI models or AI agents, including testing for prompt injection, jailbreaks, unsafe behavior, Excessive agency, Model DoS
Familiarity with AI production patterns such as ReAct, tool use, multi-agent orchestration
Strong understanding of security fundamentals (threat modeling, secure design, least privilege, defense in depth)
Experience analyzing complex systems and reasoning about unintended behavior and emergent risk
Ability to clearly document findings and communicate risk to both technical and non-technical stakeholders
Proficiency in at least one programming language (e.g., Python, Go, Java, or similar)
Preferred
Familiarity with AI security tools and frameworks (e.g., PyRIT, AgentDojo, Promptfoo, custom harnesses)
Strong understanding of GenAI and LLM architectures, including: embeddings, RAG, or agent frameworks
Hands-on experience building or operating AI agents, including tool calling, memory, or workflow orchestration
Offensive security / penetration testing background (e.g., red team, bug bounty, exploit development)
Active on HackerOne, Bugcrowd, Synack
Benefits
Participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits
Company
Uber
Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.
10001+ employees
H1B Sponsorship
Uber has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (830)
2024 (796)
2023 (684)
2022 (954)
2021 (750)
2020 (638)
Funding
Current Stage
Public CompanyTotal Funding
$35.56BKey Investors
William AckmanPayPalToyota Motor
2025-09-08Post Ipo Debt· $2.25B
2025-05-13Post Ipo Debt· $1B
2025-01-01Post Ipo Equity· $2.3B
Leadership Team
Dara Khosrowshahi
CEO
Prashanth Mahendra -Rajah
Chief Financial Officer
Recent News
2026-01-25
Hindu Business Line
2026-01-24
2026-01-24
Company data provided by crunchbase