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…
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 …
Skills: C++, C, TCP/IP, DPDK, Linux Kernel Development
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
PSM and RBI Engineer-Asset Integrity-Software-Oil & Gas Industry
Santa Clara, California, United States · Remote OK
$100k–$160k/yr
Senior
Process Safety Management (PSM) and Risk Based Inspection (RBI) Engineer - Working Remotely. Intertek, a leading provider of quality and safety solutions to many of the world’s top-recognized brands and companies, is act…
Skills: Process Safety Management, Risk Based Inspection, PHA/HAZOP, Management Of Change, Incident Investigation
Event Staff - Santa Clara Convention Center Application Deadline: 10 August 2026 Department: Operations - Field(OPS001) Employment Type: Seasonal - Part Time Location: I37-8_5001, 5101, 5201 Great America Parkway Reporti…
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
Job Summary: Provides strategic direction for preventative maintenance and repairs services for facility equipment (e.g., central plant operations, building management systems, safety systems). Establishes long-term goal…
Who We Are Csquare is a global leader in colocation and interconnection services, with a footprint of more than 60 data centers in over 30 markets, providing services to more than 2,300 leading enterprises and U.S. feder…
Principal Engineer - Enterprise Content and AI Data Platform
Santa Clara, California, United States · On-site
$248k–$391k/yr
Senior+$29B raised
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 incredible technology—and amazing people. Today, we’re tapp…
Sr. Software Engineer, AWS Continuum for code vulnerabilities
Santa Clara, California, United States · On-site
$193k–$262k/yr
Senior$35B raised
We are looking for a Software Development Engineer to join the Continuum for Code Vulnerabilities team within Amazon's AWS Continuum organization. You will help build the next generation of security services based on age…
Software Engineer II, AWS Continuum for code vulnerabilities
Santa Clara, California, United States · On-site
$144k–$224k/yr
Mid level$35B raised
We are looking for a Software Development Engineer to join the Continuum for Code Vulnerabilities team within Amazon's AWS Continuum organization. You will help build the next generation of security services based on age…
Skills: Software Development, System Architecture, C#, C++, Java
Overview Allied Universal®, North America’s leading security and facility services company, offers rewarding careers that provide you a sense of purpose. While working in a dynamic, welcoming, and collaborative workplace…
Skills: Customer Service, Security Patrol, Incident Response, Loss Prevention, Communication
Principal, Design Verification Engineer, Secure Root of Trust
Santa Clara, California, United States · On-site
$159k–$238k/yr
Senior+$2.0B raised
About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology …
NVIDIA is in a unique position: we are developing AI-based products across multiple domains, and we collaborate with many interesting AI companies as partners and customers. Ensuring the highest Content Safety possible r…
About IonQ: IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of…
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…
About the Role As a Facilities Technician at Rocket EMS, you will be responsible for ensuring our buildings, infrastructure, and facility systems operate safely, reliably, and efficiently. You’ll perform preventive and c…
Job Title- Technician The external and internal appearance of a building reflects on the occupants. It is important for a custodian, or janitor, to be careful and thorough in cleaning and tidying the premises The ideal c…
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 Security & Safety jobs in Santa Clara, CA pay?
Based on 163 listings with disclosed salaries, most security & safety jobs in Santa Clara, CA pay between $90k–$263k per year. Individual offers vary with seniority, company size, and specialization.
How many Security & Safety jobs are open in Santa Clara, CA right now?
There are currently 216 open security & safety positions in Santa Clara, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Security & Safety roles in Santa Clara, CA?
Companies currently hiring include Allied Universal, Palo Alto Networks, NVIDIA, Amazon, Applied Materials, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Security & Safety jobs in Santa Clara, CA?
Yes — 42 of the 216 open security & safety positions offer remote or hybrid work (13 remote, 29 hybrid).
How do I apply for Security & Safety 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.