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Cortex Jobs in California (NOW HIRING)

E-Space

SoC Platform Engineer

Saratoga, CA · On-site

Experience with ARM Corstone reference designs and Cortex-M or Cortex-A processor integration. • Familiarity with TrustedFirmware-M, MCUboot, or PSA-certified security architectures. • Knowledge ...

AmaWaterways, LLC

Data Analytics Engineer

Calabasas, CA · 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.

Qualcomm

SOC Platform Architect

San Diego, CA · 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 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 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:

Cortex jobs near you
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.

Senior Analyst, Customer Experience Analytics

Snowflake

Menlo Park, CA • On-site

$138K - $172K/yr

Full-time

Posted 10 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.
This is a hybrid (3 days in office) role in Menlo Park or Dublin offices in California
Our Data Analytics and AI org (DAA) is expanding our Customer Experience Analytics team and seeking a Senior Analyst to help shape how Snowflake measures and improves the post-sale customer experience. In this role, you'll combine rigorous quantitative analysis with a strong AI toolkit to unlock insights from rich support and services delivery data - driving decisions that span product strategy, operational efficiency, and customer outcomes.
Reporting to the Manager of Customer Experience Analytics, you'll partner closely with Support and Services Delivery leadership, own analytical programs end-to-end, and build scalable tools that embed your work directly into stakeholder workflows
In This Role You Will
  • Be a Trusted Analytics Partner to CXE Leadership: Work closely with Support and Services Delivery leaders to provide the data and insights that drive operational decisions
  • Deliver Insights That Drive Action: Conduct deep-dive analyses on support case drivers, resolution patterns, customer satisfaction trends, and operational efficiency that CXE leadership can act on immediately.
  • Connect the Dots Across Teams: Partner with Support Engineering, Services Delivery, Operations, and Finance to ensure CX analytics are grounded in a holistic view of the post-sale customer experience
  • Know the Data Inside and Out: Build strong fluency in the underlying data models, metrics definitions, and pipelines (SQL, dbt, Snowflake) that drive Support and Services Delivery reporting.
  • Enable Self-Service Through AI: Leverage AI-driven interfaces (semantic models, Cortex Analyst, Snowflake Cortex Code) to help CXE managers and operational teams answer their own data questions - reducing turnaround time on ad-hoc requests.
  • Raise the Bar Across the Team: Contribute to team best practices, documentation, and analytical standards. Elevate the quality and consistency of deliverables across the analytics org.

Required Qualifications
Technical Expertise
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field (or equivalent experience)
  • 4-6 years of experience in data analytics or applied data science
  • Strong SQL skills (Snowflake preferred) and proficiency in Python
  • Experience with dbt for data modeling and transformation
  • Experience building user-facing analytics applications (BI tools, data apps or similar)

Business and Communication Skills
  • Proven ability to engage senior stakeholders - shaping problem definitions, not just answering questions
  • Strong track record of translating complex analyses into clear, actionable narratives for non-technical audiences

AI Curiosity
  • Genuine interest in applying AI tools to analytical workflows - LLMs for classification, semantic models for self-service, or emerging Snowflake Cortex Code capabilities
  • Comfort working in a team that experiments with new tooling as part of the job
The Impact You'll Have
  • Shape product and operational strategy through analytics embedded at the senior leadership level
  • Reduce analytical bottlenecks across Support and Services Delivery
  • Apply Snowflake's own AI capabilities - including Cortex Code - to transform unstructured support data into durable operational metrics
  • Define analytical standards that raise the quality of work across the broader Customer Experience Analytics team

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

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