ZipRecruiter

Log In

1

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 ...

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 ...

E-Space

SoC Platform Engineer

Saratoga, CA

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 ...

next page

Showing results 1-20

All JobsCortex JobsCortex Jobs in California

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 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.
Software Engineer, Cortex AI Infrastructure

Software Engineer, Cortex AI Infrastructure

Snowflake

Menlo Park, CA • On-site

$160K - $225K/yr

Full-time

Posted 11 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 who are energized by the opportunity to reinvent how they work. The Cortex Apps team is building the future of AI for enterprise data, and this role focuses on the backend infrastructure that powers our flagship products like Snowflake Intelligence, Cortex
Agents, and Search. You won't just be using AI tools; you will be building the high-performance systems that orchestrate them, making agentic AI fast, reliable, scalable, and secure at the enterprise level.
What you will do in this role:
  • Build Agentic Runtimes: Help build and scale the orchestration engines that execute complex agentic workflows, ensuring low-latency tool execution and robust state management.
  • Scale Context Engineering Infra: Develop and design high-performance systems for RAG (Retrieval-Augmented Generation), including vector database integration, scalable search indexing, query processing, and semantic caching.
  • Develop the "Evals Engine": Build the automated infrastructure required to run massive-scale golden set simulations, error analysis pipelines, and experiments.
  • Productionize AI Workflows: Collaborate with the modeling team to take raw LLM capabilities and turn them into hardened, multi-tenant microservices with strict guardrails and observability.
  • Optimize Performance: Implement system optimizations for model routing, prompt caching, and token optimization to ensure maximum efficiency.

Requirements:
  • Education: Bachelor's degree in Computer Science or a related technical field; Masters or PhD preferred.
  • Experience: 4+ years of industry experience designing, building, and supporting distributed systems, high-throughput APIs, machine learning platforms, or data-intensive systems.
  • Technical Stack: Deep proficiency in Python (for AI orchestration) and strong experience with Go or Java (for systems). Familiarity with C++ is a plus.
  • Systems Thinking: Strong understanding of database internals, distributed state management, and cloud-native architecture (e.g., Kubernetes, FoundationDB). Experience setting up and maintaining CI/CD pipelines is a plus.
  • Domain Expertise: Familiarity with the "plumbing" of AI, such as vector indices, agent platforms, building scalable data pipelines, and working with frameworks like PyTorch, TensorFlow, or XGBoost.
  • Mindset: A growth mindset and excitement about breaking the status quo by seeking innovative solutions.

(Bonus) Experience with:
  • Query optimization and SQL engine internals.
  • Designing multi-tenant systems that handle sensitive enterprise data at scale.
  • Developing search infrastructure for large-scale applications

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

Apply