1

Cortex Jobs in California (NOW HIRING)

Familiarity with Cortex-A and Cortex-M class processors, NPU processors, and DSP processors. Familiarity with FPGA emulation platforms for pre-silicon validation. Knowledge of 3GPP network protocols ...

Showing results 21-40

Cortex information

What is the difference between Cortex vs Data Analyst?

AspectCortexData Analyst
Required CredentialsTypically requires knowledge of neuroscience, psychology, or related fields; may include certifications in neurotechnologyUsually requires a degree in statistics, mathematics, or data science; certifications like Microsoft Data Analyst or Tableau are common
Work EnvironmentResearch labs, healthcare settings, neurotechnology companiesBusiness offices, consulting firms, data-driven industries
Employer & Industry UsageNeuroscience research, neurotech startups, healthcareFinance, marketing, healthcare, technology

While both roles involve data handling, Cortex specialists focus on neuro-related data and brain research, whereas Data Analysts work across various industries analyzing business data to inform decisions.

What are the key skills and qualifications needed to thrive as a Cortex engineer, and why are they important?

To thrive as a Cortex Engineer, you need a strong background in software engineering, distributed systems, and data storage, often backed by a degree in computer science or a related field. Experience with monitoring platforms like Prometheus, cloud environments (AWS, GCP), and familiarity with the Cortex open-source project are highly valuable. Strong problem-solving skills, effective communication, and a collaborative mindset help individuals excel in this role. These skills are critical for building scalable, reliable monitoring solutions that support large-scale infrastructure and development teams.

What are some common challenges faced by Cortex engineers when integrating new services with complex microservice architectures?

Cortex engineers often deal with the complexity of integrating new services into an existing microservices ecosystem, which requires a deep understanding of distributed system patterns, observability, and reliability concerns. Challenges can include managing service discovery, handling data consistency, and ensuring efficient communication between services. Collaborating closely with platform, DevOps, and security teams is essential to ensure smooth deployments and maintain system stability. Overcoming these challenges can be highly rewarding, as it provides opportunities to innovate and improve infrastructure at scale.

What is a Cortex?

A Cortex job typically refers to a role within a machine learning or AI platform team that focuses on optimizing infrastructure, managing model deployment, and ensuring scalable performance. Cortex can also relate to roles within companies that develop AI-powered tools or work on neural processing technologies. Responsibilities may include building scalable ML services, integrating with cloud platforms, or maintaining real-time inference systems. The specific job details can vary depending on the company and industry.

What are the most commonly searched types of Cortex jobs in California?

The most popular types of Cortex jobs in California are:

What cities in California are hiring for Cortex jobs?

Cities in California with the most Cortex job openings:

Infographic showing various Cortex job openings in California as of July 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Manager, Software Engineering (Cortex Platform)

Palo Alto Networks, Inc.

Santa Clara, CA • On-site

$190 - $320/hr

Other

Posted 4 days ago


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

Palo Alto Networks' Cortex Cloud team is looking for a seasoned and accomplished Engineering Manager to lead the development of next‑generation cloud security solutions and operate highly scalable cloud platforms. In this role, you will lead high‑performing engineering teams, drive technical execution, and foster a culture of innovation, collaboration, and operational excellence while delivering secure, reliable, and scalable services.

As an Engineering Leader, you will:

  • Lead and grow high‑performing software engineering teams building innovative cloud security products and platforms.

  • Drive the technical vision and execution of cloud‑native services in collaboration with Product Management, Architecture, and cross‑functional engineering teams.

  • Own the successful delivery of features and platforms throughout the product development lifecycle, from planning and design through implementation, testing, deployment, and ongoing operations.

  • Foster an engineering culture centered on quality, customer obsession, innovation, and continuous improvement.

Key Responsibilities
  • Lead the technical strategy and execution for building world‑class cloud security solutions, partnering with architects and senior engineering leaders on technology and architectural decisions.

  • Build, develop, and retain high‑performing engineering teams through hiring, mentoring, coaching, and career development.

  • Drive engineering execution by owning planning, prioritization, estimation, and predictable delivery across multiple initiatives.

  • Collaborate closely with Product Management, Software Engineering, Quality Engineering, and Customer Success teams to deliver high‑quality Security‑as‑a‑Service offerings.

  • Lead engineering teams responsible for designing, building, deploying, and operating scalable cloud security platforms and services with end‑to‑end ownership.

  • Champion engineering excellence by driving software quality, reliability, security, observability, and operational best practices.

  • Establish and monitor engineering metrics, including service reliability, availability, performance, and delivery efficiency.

  • Drive operational excellence through incident management, root cause analysis, automation, and continuous service improvements.

  • Contribute to architecture, design, and technical discussions while empowering engineers to own technical decisions and execution.

  • Foster a culture of diversity, inclusion, intellectual curiosity, innovation, accountability, and continuous learning.

  • Partner closely with Customer Support and Customer Success teams to improve customer experience and product reliability.

  • Effectively balance multiple priorities in a fast‑paced, highly collaborative environment.

Qualifications

Required Qualifications

  • 8+ years of experience in software engineering, including developing enterprise‑scale cloud services at large organizations or high‑growth startups.

  • 2+ years of experience leading and managing software engineering teams.

  • Proven experience delivering highly scalable, distributed cloud‑native applications and services.

  • 5+ years of experience designing and building cloud‑based architectures on AWS, GCP, or Azure.

  • Hands‑on programming experience in one or more of the following languages: Golang or Python.

  • Strong understanding of distributed systems, microservices architectures, and cloud‑native application design.

  • Deep understanding of database technologies, including SQL, NoSQL, and columnar databases. Experience with analytical data platforms such as BigQuery is a plus.

  • Experience with Kubernetes, Docker, and modern container orchestration platforms.

  • Experience building and operating production services with a strong focus on scalability, reliability, observability, and performance.

  • Strong understanding of DevOps principles, CI/CD pipelines, infrastructure automation, and cloud operations.

  • Working knowledge of cloud security concepts and secure software development practices.

  • Experience leading Agile software development teams delivering full‑stack cloud applications.

  • Strong leadership skills with the ability to make data‑driven decisions, balance technical trade‑offs, and drive execution across multiple stakeholders.

  • Excellent communication, collaboration, and stakeholder management skills.

Preferred Qualifications

  • Experience building AI‑powered applications, conversational AI platforms, or developer productivity tools.

  • Experience with large‑scale analytics and data processing platforms.

  • Experience working in cybersecurity or cloud security domains.

  • BS/MS in Computer Science, Engineering, or a related technical discipline, or equivalent military experience.

#LI‑NP1

#LI‑HYBRID

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.

- /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? No. Please note that we will not sponsor applicants for work visas for this position.

#J-18808-Ljbffr