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Cognitive Computing Jobs in California (NOW HIRING)

Software Developer Intern

San Jose, CA · On-site

$22 - $29/hr

Join us to help build our leading-edge technology portfolio designed for cognitive business and optimized for cloud computing. YOUR LIFE @ IBM In a world where technology never stands still, we ...

Software Developer Intern

San Jose, CA

$22 - $29/hr

Join us to help build our leading-edge technology portfolio designed for cognitive business and optimized for cloud computing. YOUR LIFE @ IBM In a world where technology never stands still, we ...

$22.50 - $29.50/hr

Join us to help build our leading-edge technology portfolio designed for cognitive business and optimized for cloud computing. YOUR LIFE @ IBM In a world where technology never stands still, we ...

New

... 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 ...

... 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 ...

Showing results 41-60

Cognitive Computing information

See California salary details

$10

$52

$104

How much do cognitive computing jobs pay per hour?

As of Sep 4, 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.

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 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.

What is cognitive computing?

Cognitive computing refers to systems that simulate human thought processes using artificial intelligence, machine learning, and natural language processing. In the context of jobs like cognitive computing specialists, skills in data analysis, programming, and AI tools are essential for developing and managing these systems.
Infographic showing various Cognitive Computing job openings in California as of August 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $109,670 per year, or $52.7 per hour.

VP of Immersive AI Systems

Via Licensing Corporation

San Francisco, CA • On-site

$289.10 - $408.50/hr

Other

Posted 24 days ago


Job description

What You Will Accomplish

  • Define and lead strategic research vision, initiatives in scalable data platforms, media curation and distributed AI, collaborative systems, and intelligent visualization.

  • Set technical direction and architecture principles for training and deploying AI models at scale—optimizing for edge 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 impact.

  • Build and mentor world‑class research teams, fostering a culture of curiosity, rigor, and breakthrough thinking.

  • Collaborate with global leadership to shape ATG’s research agenda, influence technology strategy, and align innovation with business outcomes.

  • Champion bottom‑up innovation, empowering researchers to explore bold ideas and translate them into transformative technologies.

  • Represent ATG externally through publications, keynote talks, and strategic partnerships—establishing thought leadership across academia and industry.


What You Bring
Required Qualifications

  • PhD in Computer Science, Electrical Engineering, or a related field, or equivalent research leadership experience.

  • 15+ years of progressive experience spanning advanced research and senior technical leadership, including responsibility for setting research direction and scaling teams.

  • Proven track record of leading high‑impact research initiatives, with demonstrated research credibility through influential publications, patents, or widely adopted technologies (prior top‑tier academic publishing strongly valued).

  • Deep expertise in Distributed Systems, Edge Computing, and AI Infrastructure, with strong working knowledge across one or more adjacent areas, such as:

    • Distributed databases and storage systems

    • Scalable AI/ML model deployment

    • Natural language processing and computer vision

    • Multimedia systems and network optimization

    • Data mining, knowledge discovery, and visualization

    • Foundation Models and LLMs


  • Experience leading globally distributed, matrixed research organizations and balancing long‑term exploratory research with business‑aligned outcomes.


Leadership Competencies

  • Strategic Vision: Anticipates technological shifts and crafts research agendas that position ATG at the forefront of innovation.

  • Influence & Collaboration: Proven ability to partner with product, engineering, and executive leadership to translate research investments into strategic and commercial impact

  • Team Building: Proven success in recruiting, mentoring, and retaining top research talent. Skilled at translating business goals into team objectives.

  • Execution Excellence: Balances bold innovation with disciplined execution. Makes data‑informed decisions and manages risk effectively.

  • Communication: Exceptional scientific writing and presentation skills. Comfortable briefing executives and engaging with external stakeholders.


Salary and Benefits

The San Francisco/Bay Area base salary range for this full‑time position is $289,100-$408,500, which can vary if outside this location, plus bonus, benefits, profit sharing and executive equity compensation. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, competencies, experience, market demands, internal parity, and relevant education or training. Your recruiter can share more about the specific salary range and perks and benefits for your location during the hiring process.


Criminal History

Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12


Equal Employment Opportunity

Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.

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