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Cognitive Computing Jobs in California (NOW HIRING)

Arista Networks

Major Account Manager

Santa Clara, CA · On-site

... computing and siloed legacy IT systems across the Arista product portfolio including; Software-Driven Cloud Networking solutions, EOS (Open Source Network OS), Cognitive Campus Networking, WIFI ...

Arista Networks

Major Account Manager

Santa Clara, CA · On-site +1

... computing and siloed legacy IT systems across the Arista product portfolio including; Software-Driven Cloud Networking solutions, EOS (Open Source Network OS), Cognitive Campus Networking, WIFI ...

Dolby

VP of Immersive AI Systems

San Francisco, CA · On-site

... computing, data efficiency, and real-time responsiveness. * Advance the frontier of AI/ML , natural language processing, data mining, and cognitive systems-balancing long-term vision with near-term ...

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Cognitive Computing information

See California salary details

$10

$52

$104

How much do cognitive computing jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for cognitive computing in California is $52.73, according to ZipRecruiter salary data. Most workers in this role earn between $27.26 and $65.72 per hour, depending on experience, location, and employer.

What is the difference between Cognitive Computing vs Data Scientist?

AspectCognitive ComputingData Scientist
Required CredentialsTypically degrees in computer science, AI, or related fields; certifications in AI or machine learningDegrees in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentAI labs, tech companies, research institutionsBusiness analytics teams, tech firms, consulting agencies
Industry UsageDeveloping AI systems that simulate human thoughtAnalyzing data to extract insights and inform decisions

While both roles involve advanced technical skills, Cognitive Computing focuses on creating AI systems that mimic human cognition, whereas Data Scientists analyze data to generate insights. The roles often overlap in AI and tech industries but serve different primary functions.

How does a cognitive computing specialist typically collaborate with data scientists and software engineers in project teams?

Cognitive computing specialists often work closely with data scientists and software engineers to design, build, and deploy intelligent systems. They contribute expertise in machine learning, natural language processing, and reasoning algorithms, while data scientists focus on preparing and analyzing data, and software engineers handle system integration and deployment. Effective collaboration is essential, as projects usually require regular meetings, knowledge sharing, and joint problem-solving to ensure the cognitive solution aligns with business objectives and technical requirements.

What are the key skills and qualifications needed to thrive as a Cognitive Computing Specialist, and why are they important?

To thrive as a Cognitive Computing Specialist, you need a solid background in computer science, artificial intelligence, and machine learning, often supported by a relevant degree or certifications. Familiarity with programming languages like Python, data analysis tools, cloud computing platforms, and AI frameworks such as TensorFlow or IBM Watson is typically required. Critical thinking, creativity, and strong communication skills help you design innovative solutions and collaborate with multidisciplinary teams. These abilities are essential for developing intelligent systems that solve complex problems and drive business value.

What is cognitive computing?

Cognitive computing refers to advanced technologies that mimic human thought processes to solve complex problems. These systems use artificial intelligence, machine learning, natural language processing, and data mining to understand, reason, and learn from information. Cognitive computing is often used to enhance decision-making in sectors like healthcare, finance, and customer service by providing insights drawn from large amounts of unstructured data. Unlike traditional computing, cognitive systems can interpret nuanced data, recognize patterns, and improve over time through experience.
What are popular job titles related to Cognitive Computing jobs in California? For Cognitive Computing jobs in California, the most frequently searched job titles are:
What job categories do people searching Cognitive Computing jobs in California look for? The top searched job categories for Cognitive Computing jobs in California are:
Cognitive Computing jobs near you
Infographic showing various Cognitive Computing job openings in California as of June 2026, with employment types broken down into 72% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $109,670 per year, or $52.7 per hour.

UX Designer, Android Accessibility, Talkback

Google

Mountain View, CA • On-site

Full-time

Posted 24 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

31st of 186 rated software companies

Job description

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 4 years of interaction design experience in product design or UX design.
  • Experience with mobile app design, Critical User Journeys (CUJs), or voice-first interfaces.

Preferred qualifications:
  • Master's degree in design, human-computer interaction, computer science, a related field, or equivalent practical experience.
  • Experience with accessibility design or motion design.
  • Experience working in a cross-functional organization.
  • Experience simplifying systems for a broad audience.
  • Experience in design, with knowledge of users with motor, visual, hearing, and cognitive impairments.

About the job
At Google, we "Focus on the user and all else will follow." Our Interaction Designers transform complex tasks into intuitive, easy-to-use experiences for billions of people. From creating user flows and wireframes to building mockups and prototypes, you will envision and bring product experiences to life with an inspired, refined, and magical feel. You will join our multi-disciplinary UX team, collaborating with Engineering and Product Management, leveraging user insights to create industry-leading products.
As an Interaction Designer, you'll apply user-centered design methods to craft industry-leading user experiences from concept to execution, working with design partners to evolve the Google design language to build beautiful, innovative products.
In this role, you will work on features to improve the quality of life and independence for users.
Android is Google's mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $132000 - $190000 (USD) 15% bonus target bonus equity benefits
Learn more about benefits at Google .
Responsibilities
  • Collaborate on groundbreaking features like AI agentic task completion, helping screen-reader users seamlessly accomplish digital chores while carefully managing AI verbosity and audio feedback.
  • Design and iterate on critical multi-modal features like TalkBack, the TalkBack braille keyboard, magnification, dark theme, and high contrast mode, while taking into account adjacent accessibility needs.
  • Advocate for accessibility best practices across Google, helping partner teams adhere to internationally recognized accessibility standards and internal Google accessibility rating requirements.
  • Design contextual accessibility suggestions that meet users where they are, integrating tools into daily workflows.
  • Craft experiences where sound is the central interface, ensuring solutions adapt to the shifting requirements of both power users and those new to assistive technology.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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