Sr. Staff / Principal Engineer, GenAI/LLM Security

Posted 21 Hours Ago
Be an Early Applicant
Taipei
Expert/Leader
Cloud • Security • Software • Cybersecurity
The Role
The Sr. Staff Engineer role involves developing advanced security solutions for GenAI and LLM applications, conducting technical research, designing scalable security systems, and enhancing system performance while ensuring security standards. Responsibilities also include mentoring junior engineers and improving code quality and system reliability.
Summary Generated by Built In
About Netskope

Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. 

Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events (pre and hopefully post-Covid) and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive.  Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope.

About the role

Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.

In this role you will get the opportunity to spearhead the development of advanced GenAI/LLM Applications protection solutions. You will design and conduct technical research related to GenAI applications Security. You will collaborate with other internal engineering, product management, and AI/ML teams to develop and integrate innovative security capabilities into our platform. You will Design and lead technical security research and development in the field of GenAI applications Security. Join us to drive the next frontier in AI /LLM security ensuring robust defense against emerging threats.

What you will be doing

  • Designing, Architecting and Developing high performance, scalable cloud based security systems and services. 
  • Lead the design and  development of robust, secure, and scalable systems to detect and mitigate attacks on generative AI applications and LLMs.
  • Conduct advanced coding for performance-sensitive areas, ensuring systems are highly reliable and secure under operational stress.
  • Develop and apply techniques to detect and protect against model vulnerabilities, prompt injections, adversarial attacks, data poisoning, and other AI-specific threats.
  • Research and integrate emerging tools and techniques for identifying vulnerabilities in LLMs and generative AI systems.
  • Enhance system performance and scalability while maintaining rigorous security standards.
  • Drive continuous improvements in code quality, system performance, and security.
  • Partner with Product management, other engineering, research, and data science teams to identify, design, and implement best-in-class security features.
  • Mentor junior engineers and guide best practices in secure development, code optimization, and performance tuning.
  • Use advanced data structures and algorithms in C++, Python.

Required skills and experience

  • 10+ years of experience building high-performance security software in a distributed environment 
  • Programming mastery in C++ and experience in Python a plus
  • Solid understanding of algorithms and data structure to implement real-time inline data processing
  • Strong understanding of computer architecture – multi-threading, CPU scheduling and memory management
  • Good knowledge of Linux at the system level
  • Experience in network and web/content security technologies (LLM/Gen AI security, Advanced threat protection, Web Security, NGIPS, Protocol and User Anomaly detections, etc.)
  • Knowledge of machine learning frameworks and LLM structures is a strong plus.
  • Experience with Unit Testing frameworks - C++ gtest, pytest and CI/CD
  • Experience with No-SQL databases like MongoDB, Redis and cloud technologies like Kafka.
  • Familiarity with GenAI technologies, experience in security research e.g. AI/Machine learning, AppSec\cloud security, LLM, Adversarial attacks and Jail-breaking methods are big plus
  • Excellent analytical and problem-solving skills, coupled with discretion and sound independent judgment
  • Self-starter with desire to work in a fast paced environment with cross-timezone teams
  • Candidates should have an attitude of “go and get it done” and should exhibit it in day-2-day work
  • Excellent verbal and written communication skills

Education

  • Minimum BSCS or equivalent required

#LI-SC3

Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.

Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details.

Top Skills

C++
Python
The Company
Bogotá
1,479 Employees
On-site Workplace
Year Founded: 2012

What We Do

Netskope, the SASE leader, safely and quickly connects users directly to the internet, any application, and their infrastructure from any device, on or off the network. With CASB, SWG, and ZTNA built natively in a single platform, the Netskope Security Cloud provides the most granular context, via patented technology, to enable conditional access and user awareness while enforcing zero trust principles across data protection and threat prevention everywhere. Unlike others who force tradeoffs between security and networking, Netskope’s global security private cloud provides full compute capabilities at the edge.
Netskope is fast everywhere, data-centric, and cloud-smart, all while enabling good digital citizenship and providing a lower total-cost-of-ownership.

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