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NEXTMOVEFDE careers · United States

Principal / Distinguished Engineer, Machine Learning

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

Technologies

vLLM · SGLang · KV Cache optimization · LLM serving · AI/ML inference · SASE · cloud security

About Netskope

Sells a cloud-native Security Service Edge / SASE platform (SWG, CASB, ZTNA, DLP) on a subscription basis to enterprises securing cloud, web, and private app access.

Public · 1000–5000 people

Job description

The full responsibilities and requirements are on the employer’s site.

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Source and classification

Internal deployment & tooling · Evidence for this classification:

transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security. Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram. Positions are available at both Principal and Distinguished Engineer levels. Candidates are assessed individually and leveled according to their specific skills and background. About the role Within Netskope Engineering, the Netskope AI Labs is responsible for advancing state-of-the-art artificial intelligence (AI) and machine learning (ML) technology to power the Netskope One security platform. We are seeking a visionary Distinguished Machine Learning Engineer to serve as the chief architect of our AI technical strategy, bridging the gap between cutting-edge AI research and enterprise-scale business impact. Leveraging our deep
More from the job description

Join the Future of Security at Netskope Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs. At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security. Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram. Positions are available at both Principal and Distinguished Engineer levels. Candidates are assessed individually and leveled according to their specific skills and background. About the role Within Netskope Engineering, the Netskope AI Labs is respon [... source excerpt omitted ...] rchitect of our AI technical strategy, bridging the gap between cutting-edge AI research and enterprise-scale business impact. Leveraging our deep expertise in AI/ML and security, you will lead the architecture and deployment of large-scale, production-grade AI/ML solutions for our Secure Access Service Edge (SASE) architecture. What’s in it for you This is a highly impactful leadership opportunity to shape the AI transformation of a market-leading cloud security company. A successful candidate will serve as a primary technical pillar for the organization, possessing deep technical expertise in applying AI/ML technologies to complex security applications. You will have the plat [... source excerpt omitted ...] ongside top-tier engineers, researchers, and machine learning scientists to solve the industry's most challenging AI latency, scalability, and cloud security problems today. What you will be doing Define the AI Transformation Roadmap: Drive the overarching AI/ML technical strategy, ruthlessly prioritizing architectural choices to ensure highly scalable, reliable, and production-grade systems. Architect Production-Grade Inference Systems: Design, optimize, and deploy highly scalable AI/ML inference systems, leveraging the latest LLM serving technologies such as vLLM, SGLang, and advanced KV Cache optimization to maximize throughput and minimize latency. Lead the End-to-End AI

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