1

Cognitive Computing Jobs in California (NOW HIRING)

Power Electronics Engineer

Palo Alto, CA ยท On-site

$150 - $190/hr

... human cognitive limits. About the Team Backed by Silicon Valley's top investors, Stanford ... high-performance computing and autonomous hardware. You'll architect topologies, simulate ...

Power Electronics Engineer

Palo Alto, CA ยท On-site

$131K - $155K/yr

... human cognitive limits. About the Team Backed by Silicon Valley's top investors, Stanford ... high-performance computing and autonomous hardware. You'll architect topologies, simulate ...

Power Electronics Engineer

Palo Alto, CA ยท On-site

$131K - $155K/yr

... human cognitive limits. About the Team Backed by Silicon Valley's top investors, Stanford ... high-performance computing and autonomous hardware. You'll architect topologies, simulate ...

Power Electronics Engineer

Palo Alto, CA ยท On-site

$131K - $155K/yr

... human cognitive limits. About the Team Backed by Silicon Valley's top investors, Stanford ... high-performance computing and autonomous hardware. You'll architect topologies, simulate ...

VP, Teleportation

Palo Alto, CA ยท On-site

$260 - $380/hr

About the Role As VP of Teleportation , you will lead the design of the sensory and cognitive ... Explore VR/XR and spatial computing interfaces for immersive control and situational presence.

... Cognitive or Behavioral Science, Ergonomics, or related field or 7-10 years of equivalent ... computing, or health-related sensing technologies Advanced quantitative expertise such as ...

... 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 ...

... 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 ...

VP of Immersive AI Systems

San Francisco, CA ยท On-site

$289.10 - $408.50/hr

... 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 ...

... 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 ...

Showing results 21-40

Cognitive Computing information

See California salary details

$10

$52

$104

How much do cognitive computing jobs pay per hour?

As of Sep 5, 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.

Power Electronics Engineer

Voltai

Palo Alto, CA โ€ข On-site

$150 - $190/hr

Other

Re-posted 26 days ago


Job description

About Voltai

Voltai is developing world models, and agents to learn, evaluate, plan, experiment, and interact with the physical world. We are starting out with understanding and building hardware; electronics systems and semiconductors where AI can design and create beyond human cognitive limits.

About the Team

Backed by Silicon Valleyโ€™s top investors, Stanford University, and CEOs/Presidents of Google, AMD, Broadcom, Marvell, etc. We are a team of previous Stanford professors, SAIL researchers, Olympiad medalists (IPhO, IOI, etc.), CTOs of Synopsys & GlobalFoundries, Head of Sales & CRO of Cadence, former US Secretary of Defense, National Security Advisor, and Senior Foreign-Policy Advisor to four US presidents.

About this Role

Youโ€™ll design and optimize power conversion and distribution systems for high-performance computing and autonomous hardware. Youโ€™ll architect topologies, simulate efficiency trade-offs, and validate thermal and EMI performance across extreme conditions. Your work will enable AI systems to operate with maximum power integrity and minimal loss.

Qualifications

You might thrive if you have 5+ years of experience in:

  • Switch-mode power supply design, buck/boost converters, and GaN/FET topologies
  • SPICE, PLECS, or other circuit-level simulation tools
  • Power integrity, thermal management, and PCB layout for power systems
  • EMI/EMC design, loop compensation, and hardware validation
#J-18808-Ljbffr