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Cortex Jobs in California (NOW HIRING)

Data Analytics Engineer

Calabasas, CA ยท On-site

$90K - $100K/yr

Cortex Analyst semantic YAML for natural-language data exploration by our internal users. * Data quality tests on every model you author, with clear ownership of the freshness and accuracy SLAs.

SOC Platform Architect

San Diego, CA ยท On-site

$177K/yr

Arm system architectures (e.g., Cortex-A, Cortex-R, Cortex-M, SMMU, GIC, CoreSight) * RISC-V architecture * High-speed I/O (USB, PCIe, CXL) * External memory and storage architectures (e.g., LPDDR ...

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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 Cortex jobs?

Cortex jobs typically refer to roles related to the development, management, or support of Cortex platforms or technologies. In the context of IT and software, 'Cortex' can be a microservices management platform or a cloud-based solution for managing software reliability and engineering workflows. People in Cortex jobs may work as software engineers, platform specialists, or solutions architects, focusing on building tools that help teams track software quality, manage service catalogs, and streamline operations. The specific responsibilities can vary depending on the company and the type of Cortex platform being used.

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 professions make 200,000 a year without a degree?

Roles such as commercial pilots, real estate brokers, and certain sales managers can earn $200,000 or more annually without requiring a college degree. Success in these professions often depends on experience, skills, licensing, or certifications rather than formal education.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, educators, and skilled tradespeople, are less likely to be fully automated by AI. These roles often involve emotional intelligence, nuanced judgment, and hands-on skills that AI cannot easily replicate. Continuous learning and adaptability are important for job security in an evolving AI landscape.

What is a Cortex job?

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.

Is Cortex a good company to work for?

Cortex offers roles that typically involve skills in data analysis, machine learning, and software development. The company's work environment and benefits vary, so researching employee reviews and company culture can provide more insight into job satisfaction. Overall, it is important to consider individual career goals and the specific role when evaluating employment at Cortex.

How much does Cortex pay?

The salary for a Cortex role varies depending on the position, experience, and location. Entry-level positions typically start around industry standard rates, while more experienced roles can offer higher compensation, often complemented by benefits and performance bonuses.
What are the most commonly searched types of Cortex jobs in California? The most popular types of Cortex jobs in California are:
What are popular job titles related to Cortex jobs in California? For Cortex jobs in California, the most frequently searched job titles are:
What job categories do people searching Cortex jobs in California look for? The top searched job categories for 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 June 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.
Senior Software Developer - Full Stack

Senior Software Developer - Full Stack

Snowflake

Dublin, CA โ€ข On-site

$176K - $253K/yr

Full-time

Posted 12 days ago


Job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Senior Software Engineer with 10+ years of experience in full stack application development, specializing in building AI/ML-powered systems and leveraging AI-native development workflows. Proven ability to design scalable applications, integrate LLM capabilities, and enhance engineering productivity using tools like Claude Code and Snowflake Cortex.
CORE RESPONSIBILITIES:
  • Design and develop end-to-end full stack applications (frontend, backend, APIs)
  • Build and integrate AI/ML and LLM-powered features into production systems
  • Develop scalable backend services and distributed systems architectures
  • Leverage Snowflake Cortex and Snowpark for data-driven AI applications
  • Collaborate with cross-functional teams to deliver customer-facing intelligent solutions
  • Optimize applications for performance, scalability, and reliability
AI-NATIVE ENGINEERING EXPERTISE:
  • Strong hands-on experience with AI Model for Code Generation (e.g., Anthropic's Claude, OpenAI's GPT-Codex) or similar for:
    • Code generation, refactoring, and debugging
    • Designing structured prompts and reusable workflows
  • Ability to create and manage skills and profiles in AI Models to streamline development tasks
  • Experience with AI-assisted development (Claude co-work model) to improve productivity and code quality
  • Familiarity with prompt engineering, reasoning workflows, and human-in-the-loop systems

TECHNICAL SKILLS:
  • Languages: Python, Java, JavaScript/TypeScript
  • Frontend: React, Angular (or similar frameworks)
  • Backend: REST APIs, microservices, distributed systems
  • AI/ML: LLM integration, NLP, model inference
  • Cloud & Data: Snowflake (Cortex, Snowpark), AWS/Azure/GCP
  • Tools: Docker, Kubernetes, CI/CD pipelines
NICE TO HAVE:
  • Experience with RAG architectures, embeddings, and vector databases
  • Knowledge of MLOps and model deployment pipelines
  • Familiarity with large-scale data platforms and ETL workflows
  • Working knowledge of snowflake and snowflake technologies
  • Experience with building production AI assistants at the enterprise level

Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com