Palo Alto Networks · 11 hours ago
Principal Machine Learning Platform Engineer (Prisma AIRS)
Palo Alto Networks is a leading cybersecurity company committed to protecting the digital way of life. They are seeking a Principal Machine Learning Platform Engineer to lead the architectural design and long-term strategy of their AI platform, Prisma AIRS, while providing technical leadership and mentoring to the team.
Cloud SecurityCyber SecurityNetwork SecuritySecurity
Responsibilities
Architect and Design: Lead the architectural design of a highly scalable, low-latency, and resilient ML inference platform capable of serving a diverse range of models for real-time security applications
Technical Leadership: Provide technical leadership and mentorship to the team, driving best practices in MLOps, software engineering, and system design
Strategic Optimization: Drive the strategy for model and system performance, guiding research and implementation of advanced optimization techniques like custom kernels, hardware acceleration, and novel serving frameworks
Set The Standard: Establish and enforce engineering standards for automated model deployment, robust monitoring, and operational excellence for all production ML systems
Cross-Functional Vision: Act as a key technical liaison to other principal engineers, architects, and product leaders to shape the future of the Prisma AIRS platform and ensure end-to-end system cohesion
Solve the Hardest Problems: Tackle the most ambiguous and challenging technical problems in large-scale inference, from mitigating novel security threats to achieving unprecedented performance goals
Qualification
Required
BS/MS or Ph.D. in Computer Science, a related technical field, or equivalent practical experience
Extensive professional experience in software engineering with a deep focus on MLOps, ML systems, or productionizing machine learning models at scale
Expert-level programming skills in Python are required; experience in a systems language like Go, Java, or C++ is nice to have
Deep, hands-on experience designing and building large-scale distributed systems on a major cloud platform (GCP, AWS, Azure, or OCI)
Proven track record of leading the architecture of complex ML systems and MLOps pipelines using technologies like Kubernetes and Docker
Mastery of ML frameworks (TensorFlow, PyTorch) and extensive experience with advanced inference optimization tools (ONNX, TensorRT)
Demonstrated expertise with modern LLM inference engines (e.g., vLLM, SGLang, TensorRT-LLM) is required. Open-source contributions in these areas are a significant plus
Preferred
A strong understanding of popular model architectures (e.g., Transformers, CNNs, GNNs) is a significant plus
Experience with low-level performance optimization, such as custom CUDA kernel development or using Triton Language, is a plus
Experience with data infrastructure technologies (e.g., Kafka, Spark, Flink) is great to have
Familiarity with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI, Tekton) is a plus
Benefits
FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees
Mental and financial health resources
Personalized learning opportunities
Restricted stock units
Bonus
Company
Palo Alto Networks
Palo Alto Networks is a cybersecurity company that offers cybersecurity solutions for organizations.
H1B Sponsorship
Palo Alto Networks 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 (484)
2024 (482)
2023 (341)
2022 (452)
2021 (493)
2020 (235)
Funding
Current Stage
Public CompanyTotal Funding
$65MKey Investors
Icon VenturesLehman HoldingsGlobespan Capital Partners
2012-07-20IPO
2008-11-03Series C· $10M
2008-08-18Series C· $27M
Recent News
SEC Filings
2025-12-31
2025-12-30
2025-12-30
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