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Cortex Jobs in California (NOW HIRING)

E-Space

SoC Platform Engineer

Saratoga, CA · On-site

Bonus points for the following: * · Experience with ARM Corstone reference designs and Cortex-M or Cortex-A processor integration. · Familiarity with TrustedFirmware-M, MCUboot, or PSA-certified ...

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 ...

E-Space

SoC Platform Engineer

Saratoga, CA

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 ...

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 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:
Cortex jobs near you
Infographic showing various Cortex job openings in California as of July 2026, with employment types broken down into 89% Full Time, 4% Part Time, and 7% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
Technical Lead Manager - Frontend, Cortex AI

Technical Lead Manager - Frontend, Cortex AI

Snowflake

Menlo Park, CA • On-site

$200K - $287K/yr

Full-time

Posted 24 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.
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, rapidly testing 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.
We are hiring a Technical Lead Manager for our Cortex AI Frontend team. This team builds the AI/ML-powered user experiences that enable enterprises to converse with their structured data and extract insights in unprecedented ways - spanning the full product lifecycle from conception through deployment. You will own both the technical direction and the people leadership for a team of frontend engineers at the intersection of AI, data, and enterprise UX.
AS A TECHNICAL LEAD MANAGER, AI FRONTEND AT SNOWFLAKE, YOU WILL:
  • Own the technical strategy and execution for the AI Frontend team, driving projects from initial idea formulation and detailed system design through high-quality implementation and successful deployment.
  • Provide deep technical oversight by actively participating in design reviews, architecture discussions, and complex frontend system implementations - ensuring scalability, reliability, and exceptional user experience.
  • Serve as a key technical contributor and subject matter expert in AI/ML-powered frontend development, setting the bar for engineering excellence and coding best practices across the team.
  • Collaborate closely with product managers and UX/UI designers to translate user needs and business objectives into clear technical roadmaps and production-ready solutions.
  • Mentor and coach engineers on complex technical challenges and career development; grow a strong, diverse team through proactive and deliberate hiring.
  • Define team plans and deliverables while remaining accountable for the frontend platform's availability, performance, and maintainability across the full AI application lifecycle.
  • Lead the improvement of engineering processes, tooling, and standards - with a focus on velocity, code quality, and developer experience.
  • Partner effectively with backend, platform, and cross-functional teams to ensure smooth integration and influence the direction of the broader AI applications platform.
  • Champion the use of AI coding assistants (such as Claude Code, Cursor, Codex, or similar tools) as a core part of the team's development workflow, modeling and scaling AI-native engineering practices.

OUR IDEAL TECHNICAL LEAD & MANAGER, AI FRONTEND WILL HAVE:
  • 9+ years of experience designing and building large-scale, user-facing systems in production.
  • 3+ years of experience managing and leading teams delivering mission-critical, high-concurrency, low-latency user interfaces.
  • Deep hands-on proficiency in JavaScript/TypeScript and the React ecosystem; ability to drill into complex frontend architecture and implementation on a routine basis.
  • Proficiency in at least one additional language such as Python, Go, or Java.
  • Strong understanding of software engineering principles including design patterns, data structures, algorithms, and system design.
  • Demonstrated ability to translate product requirements into technical specifications and lead engineering execution from concept to launch.
  • Excellent collaboration and communication skills across engineering, product, and design stakeholders.
  • BS/MS/PhD in Computer Science, Engineering, or a related field, or equivalent experience.

BONUS POINTS FOR THE FOLLOWING:
  • Experience building or shipping LLM-powered applications (through prior work, open source, or personal projects).
  • Active use of AI coding assistants in your daily workflow - you treat AI as a high-trust collaborator, not just an autocomplete tool.
  • Experience with cloud environments such as AWS, Azure, or GCP.
  • Prior experience working on data analytics, BI, or conversational AI products for enterprise customers.
  • Familiarity with backend services and APIs that power AI/ML inference or data retrieval at scale.

WHY JOIN OUR CORTEX AI FRONTEND TEAM AT SNOWFLAKE?
This team sits at the center of Snowflake's AI transformation - building the products that make enterprise AI real and accessible to users across every industry. You'll work on high-visibility surfaces like Snowflake Intelligence and next-generation data interaction experiences, with the mandate to move fast and raise the bar on what enterprise AI UX can be. The team combines the ambition of a startup with the scale and resources of a market-leading data cloud company.
As TLM, you'll have real ownership: of technical direction, of team culture, and of the outcomes that matter to customers and to Snowflake's growth. If you're energized by building AI-native teams and shipping products that change how enterprises work with their data, this is the role.
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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