We are looking for a Senior Software Development Engineer-AI Security to join our team. This is a Hybrid role based in San Jose, CA or Bellevue, WA (3 days in office), reporting to the Director of Software Engineering in the Emerging Tech department. You will build a high-reliability, low-latency AI security solution capable of scaling to hundreds of millions of users.
In this role, you will be crucial in enhancing security capabilities for the AI within the world's largest cloud security platform by designing and implementing core infrastructure components and distributed systems while collaborating closely with stakeholders throughout the development lifecycle.
- Develop high-performance networking code for multiple desktop platforms using the Rust language and platform-native APIs
- Improve code quality through building solid, testable, and well-documented software foundations
- Design and implement major development projects with a focus on scalability, security, and performance
- Collaborate with product managers and cross-functional teams to deliver customer-impacting features
- Debug and solve complex network-related problems and enhance system functionality
- You thrive in ambiguity by comfortably building the path as you walk it, viewing a dynamic environment as raw material to create meaningful outcomes.
- You act like an owner with a deep passion for the mission and a strong bias for action, seamlessly navigating between high-level strategy and hands-on execution.
- You are a natural problem-solver who is energized by complex challenges and laser-focused on delivering high-impact solutions.
- You are a high-trust collaborator who is ambitious for the team's success, actively embracing a culture of candor, respect, and continuous feedback.
- You are a lifelong learner with a growth mindset, constantly developing your skills and seeking purpose in everything you do.
- Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving
- Bachelor’s degree in computer science, engineering, or a related field
- 3+ years of software engineering experience with deep expertise in the Rust programming language and familiarity with lower-level languages such as C/C++
- Strong knowledge of system and network programming including firewalls, VPNs, protocols, TCP/IP, UDP, DNS, QUIC, H/3, and proxies
- Familiarity with system concepts such as virtual memory, multi-threading, system APIs, SLM/LLM models, and excellent debugging and problem-solving skills in both networking and system-level contexts
- Deep understanding of AI security frameworks, threat modeling for large language models, and mitigating vulnerabilities unique to AI-driven architectures
- Familiarity with DevOps pipelines, VPN technologies, and a strong understanding of security protocols and standards
- Experience writing testable, low-complexity code with dependency injection, proficiency in Swift or Python, and direct experience validating AI-driven products using MLOps principles