A globally leading consumer device company headquartered in Mountain View, CA is looking for a Senior Offensive Security Engineer to proactively identify, exploit, and help eliminate security weaknesses across our web platforms and AI/ML systems. In this role, you will think like an attacker, operate with engineering rigor, and work closely with product, platform, and AI teams to raise the security bar across the organization. You will lead complex penetration tests, design novel attack techniques for web and modern AI-powered applications, and influence secure-by-design architecture at scale.
Responsibilities:
• Conduct offensive security assessments on large-scale web applications, REST APIs, and cloud-backed services.
• Identify and validate vulnerabilities including injection flaws, access control
issues, authentication/authorization weaknesses, SSRF, deserialization, and logic
bugs.
• Evaluate LLM-based systems and AI agents for prompt injection, data exfiltration, model abuse and jailbreaks
• Design and execute red team–style engagements simulating real-world adversaries.
• Develop custom exploitation tools, PoCs, and fuzzers for web and AI attack surfaces.
• Identify systemic security weaknesses and collaborate with engineering teams to drive long-term mitigations.
• Review architectures and designs for new products with an attacker mindset.
• Produce clear, actionable security reports and present findings to technical and executive stakeholders.
Minimum Qualifications:
• Master’s degree in Computer Science, Computer Engineering, Information Security, or a closely related technical field.
• Doctorate (PhD) in a relevant field is a plus but not required.
• 5+ years of experience in offensive security, penetration testing, or red teaming.
• Deep expertise in web application security.
• Strong understanding of API security.
• Hands-on experience testing AI/ML or LLM-based systems, or strong motivation with demonstrated research in this area.
• Proficiency in at least one scripting or programming language (Python, Go, JavaScript, or similar).
• Strong knowledge of common exploitation techniques and attacker tooling.
Preferred Qualifications:
• Prior work on adversarial ML, red-teaming AI systems, or secure LLM pipeline
design.
• Experience with cloud security (AWS, GCP, Azure) and containerized environments.
• Background in security research, published CVEs, CTF experience, blog posts, or conference talks.
• OSCP, OSEP, OSWE, CRTO, or similar.
What We Look For:
• An attacker-first mindset with strong engineering discipline.
• Ability to go beyond scanners and find novel, high-impact vulnerabilities.
• Clear communicator who can translate complex exploits into actionable fixes.
• Curiosity about emerging threats, especially in AI security.
• Ownership mentality and comfort operating in ambiguous problem spaces.
Type: Contract
Duration: 12 months with extension
Work Location: Mountain View, CA (on site)
Pay Range: $ 85.00 - $ 100.00 (DOE)
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