Principal Machine Learning Platform Engineer (Prisma AIRS)
Santa Clara, California, United States · On-site
$157k–$254k/yr
Senior+Visa sponsorship$65M raised
Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology an…
NVIDIA is looking for a Senior Network Engineer to develop a cloud network infrastructure. The goal is to craft a reliable, scalable and efficient network to support NVIDIA software development workflows and tools, inclu…
Senior Systems Software Engineer, Developer Productivity and Cloud Automation - GeForce NOW
Santa Clara, California, United States · On-site
$184k–$357k/yr
Senior+$29B raised
GeForce NOW is NVIDIA's Cloud Gaming service, streaming games at the highest quality to any and every user, regardless of their device type and capabilities - low-end PCs, Macs, TV or mobile devices. Using the most sophi…
We're hiring a Product Engineer; a rare hybrid who has lived at the intersection of product, design, and code. You've got a strong UX/UI foundation and real product-management chops, and over the last couple of years you…
About Us At Versa Networks, we're revolutionizing the way businesses connect, secure, and optimize their networks. Our mission is to secure anywhere, anytime access to anything. As a leader in Secure SD-WAN, SSE (Secure …
Skills: Python, Machine Learning, Deep Learning, Natural Language Processing, Large Language Models
About Us At Versa Networks, we're revolutionizing the way businesses connect, secure, and optimize their networks. Our mission is to secure anywhere, anytime access to anything. As a leader in Secure SD-WAN, SSE (Secure …
About Us At Versa Networks, we're revolutionizing the way businesses connect, secure, and optimize their networks. Our mission is to secure anywhere, anytime access to anything. As a leader in Secure SD-WAN, SSE (Secure …
About Us At Versa Networks, we're revolutionizing the way businesses connect, secure, and optimize their networks. Our mission is to secure anywhere, anytime access to anything. As a leader in Secure SD-WAN, SSE (Secure …
Skills: Python, Machine Learning, Deep Learning, Natural Language Processing, Data Visualization
Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignt…
Business Operations and Demand Fulfillment Manager
Scottsdale, Arizona, United States · On-site
$151k–$189k/yr
Senior+$2.7B raised
OUR STORY At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society. As a global semiconductor company, our advanced technologies and c…
The Senior Director of Materials & Execution is responsible for leading end-to-end materials management, production support, and operational fulfillment across the supply chain network. This role drives alignment between…
Oracle Cloud Infrastructure (OCI) is seeking a visionary Senior Director of Data and Automation to lead the digital transformation of OCI’s global supply chain operations. This leader will drive the development of advanc…
We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type…
Skills: Customer Trust, GRC, Information Security, Security Assurance, Compliance
Overview Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE…
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitmen…
Skills: Python, PyTorch, Model Compression, Quantization, Efficient Inference
System Design Engineer - AI Cluster Software Engineer
Santa Clara, California, United States · Hybrid
Senior$5.0B raised
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And w…
We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type…
Skills: Strategic Transformation, Commercial Excellence, Operating Model Design, Financial Modeling, ROI Analysis
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping i…
Skills: C++, Python, Software Design, Parallel Programming, Windows
Principal Developer Relations Manager – Marketing Technology Strategic ISVs
Santa Clara, California, United States · On-site
$272k–$431k/yr
Senior+$29B raised
We're hiring a Principal Developer Relations Manager to lead strategic engagements across developer ecosystems in rapidly evolving technology domains. In this role, you’ll help develop how NVIDIA partners with software p…
Skills: Developer Relations, CUDA, GPU Programming, AI Architecture, Software Engineering
Job Posting Title Smart City Initiatives – Data Science Intern Job Description We are hiring for a Research Intern to work on challenging data science problem to enable new opportunities with connected and autonomous veh…
Skills: Python, PostgreSQL, Machine Learning, Data Mining, Data Cleansing
Principal Machine Learning Platform Engineer (Prisma AIRS)
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$157k–$254k/yr
Full-time
bachelor degree, postgraduate degree
Restricted Stock Units, Bonus
Visa sponsorship available
Posted 1d ago
~40 hrs/week
Responsibilities
Lead the architectural design and long-term strategy for a scalable, low-latency ML inference platform for AI security. Provide technical leadership and mentorship to engineers while driving best practices in MLOps and system performance optimization.
Requirements
Requires a degree in Computer Science or equivalent experience with expert-level Python skills and deep expertise in building large-scale distributed systems on cloud platforms. Must have proven experience with LLM inference engines and ML frameworks like PyTorch or TensorFlow.
Full job description
Our Mission
At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.
Who We Are
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.
Job Summary
Your Career With Prisma AIRS, Palo Alto Networks is building the world's most comprehensive AI security platform. Organizations are increasingly building complex ecosystems of AI models, applications, and agents, creating dynamic new attack surfaces with risks that traditional security approaches cannot address. In response, Prisma AIRS delivers model security, posture management, AI red teaming, and runtime protection. Our customers can confidently deploy AI-driven innovation while ensuring a formidable security posture from development through runtime. As a Principal Machine Learning Inference Engineer, you will serve as a technical authority and visionary for the Prisma AIRS team. You will be responsible for the architectural design and long-term strategy of our AI platform - ML inference. Beyond individual contribution, you will lead complex technical projects, mentor senior engineers, and set the standard for performance, scalability, and engineering excellence across the organization. Your decisions will have a profound and lasting impact on our ability to deliver cutting-edge AI security solutions at a massive scale.
Your Impact 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.
Qualifications
Your Experience 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).
A strong understanding of popular model architectures (e.g., Transformers, CNNs, GNNs) is a significant plus.
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.
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.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
$157,200.00 - $254,100.00/yr
Our Commitment
We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship?: Yes
Palo Alto Networks, the global cybersecurity leader, is shaping the cloud-centric future with technology that is transforming the way people and organizations operate. Our mission is to be the cybersecurity partner of choice, protecting our digital way of life. We help address the world's greatest security challenges with continuous innovation that seizes the latest breakthroughs in artificial intelligence, analytics, automation, and orchestration. By delivering an integrated platform and empowering a growing ecosystem of partners, we are at the forefront of protecting tens of thousands of organizations across clouds, networks, and mobile devices. Our vision is a world where each day is safer and more secure than the one before. For more information, visit www.paloaltonetworks.com.
Offices: 3000 Tannery Way, SANTA CLARA, California 95054, US · 3901 Dallas Pkwy, Plano, TX 75093, US · De Entree 99, Amsterdam, North Holland 1101 HE, NL · 1 Wallich St, Singapore, 07, SG · Yehuda HaLevi 23, Tel Aviv-Yafo, Tel Aviv 67132, IL
How much do Data & Analytics jobs in Santa Clara, CA pay?
Based on 555 listings with disclosed salaries, most data & analytics jobs in Santa Clara, CA pay between $133k–$327k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Santa Clara, CA right now?
There are currently 589 open data & analytics positions in Santa Clara, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Santa Clara, CA?
Companies currently hiring include NVIDIA, Applied Materials, ServiceNow, Pure Storage, Amazon, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Santa Clara, CA?
Yes — 165 of the 589 open data & analytics positions offer remote or hybrid work (49 remote, 116 hybrid).
How do I apply for Data & Analytics jobs in Santa Clara, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.