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Neuromorphic Computing Jobs in California (NOW HIRING)

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$97.2K

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How much do neuromorphic computing jobs pay per year?

As of Sep 4, 2026, the average yearly pay for neuromorphic computing in California is $97,238.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $110,000.00 per year, depending on experience, location, and employer.

What is neuromorphic computing?

A Neuromorphic Computing job involves designing and developing hardware and software that mimic the neural structure and functioning of the human brain. Professionals in this field work on creating energy-efficient, brain-inspired computing architectures for AI, machine learning, and robotics applications. Responsibilities may include research, chip design, algorithm development, and system integration. These roles are typically found in academia, government labs, tech companies, and semiconductor industries.

What does someone working in neuromorphic computing do?

Professionals in Neuromorphic Computing spend their days designing, simulating, and testing hardware or algorithms inspired by neural architectures. This often involves collaborating with interdisciplinary teams across engineering, neuroscience, and computer science, reviewing research, and troubleshooting experimental prototypes. Tasks may also include publishing research findings, developing software models, and staying updated on the latest advancements in artificial intelligence. The role typically requires both independent research and teamwork to drive innovation and transfer new concepts from the lab to practical applications.

What skills and qualifications are needed for neuromorphic computing?

To thrive in Neuromorphic Computing, you need a strong background in electrical engineering, computer science, neuroscience, and machine learning, often supported by an advanced degree such as a Master's or Ph.D. Experience with neuromorphic hardware platforms, programming languages (such as Python and C++), and familiarity with simulation tools and FPGA development is highly valued. Creative problem-solving, interdisciplinary collaboration, and effective communication are essential soft skills for this field. These competencies enable professionals to innovate at the intersection of biology and technology, facilitating the development of advanced computing systems that mimic neural processes.

What are the most commonly searched types of Neuromorphic Computing jobs in California?

The most popular types of Neuromorphic Computing jobs in California are:

What job categories do people searching Neuromorphic Computing jobs in California look for?

The top searched job categories for Neuromorphic Computing jobs in California are:

What cities in California are hiring for Neuromorphic Computing jobs?

Cities in California with the most Neuromorphic Computing job openings:

Infographic showing various Neuromorphic Computing job openings in California as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $97,238 per year, or $46.7 per hour.

Senior Manager, Consumer AI Devices

Samsung Research America

Mountain View, CA • On-site

$149K - $197K/yr

Full-time

Re-posted yesterday


Samsung Electronics rating

6.7

Company rating: 6.7 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

129th of 161 rated electronics manufacturers


Job description

Lab Summary:

Samsung Research America's Emerging Technologies Group identifies and incubates innovative external technologies that accelerate Samsung's development and market position of its industry-leading consumer devices and medical equipment. We proactively research and create incubation, partnership & investment opportunities with breakthrough technologies that lay the foundation for the future of Samsung's core products & services across smartphones, tablets, wearables, PCs, TVs, appliances, and more. In addition to driving both the technical and business processes to validate and commercialize new technologies in Samsung's existing products, we maintain a strong pulse on the market to find the next big opportunity.

Position Summary:

At Samsung, we don't just build the next smartphone or wearable; we define the future of human-device interaction. We are seeking a Senior Manager who sits at the unique intersection of deep hardware expertise, AI technology trends, and product strategy. You will not be managing a backlog of features; you will be an architect of what comes next.

In an era where AI is moving from the cloud to the edge (On-Device AI), you will lead the ideation of groundbreaking consumer devices that leverage new sensor technologies, advanced AI models, and novel form factors. Your mission is to identify emerging hardware capabilities and translate them into viable, world-class products that redefine the Samsung ecosystem. You are responsible for researching and developing collaborations with external innovations in various hardware subsystems (advanced computing, sensors, communications, etc.), and formulating strategies to pair them with machine learning capabilities to deliver innovative solutions through Samsung's vast product ecosystem. You will develop recommendations and actionable build-buy-partnership strategies to advance Samsung's product capabilities and provide competitive advantage.

In this role, you will perform technology research on the latest advances in novel computing, SoC, sensors, and other various hardware innovations from startups, universities, and regulatory institutions to create new internal collaboration projects with Samsung R&D teams.  With an aim towards advancing Samsung's product offerings across smartphones, wearables, TVs, XR devices, and more. you will develop business cases, promote the most relevant and impactful technology breakthroughs with our leadership team, foster partnerships with startups & universities, and drive pivotal initiatives that increase Samsung's differentiation in the space.

Position Responsibilities:

  • Analyze market trends, new breakthroughs in technology, and university research & technology publications in hardware innovations that are relevant to Samsung's consumer electronics product offerings
  • Evaluate emerging hardware technologies (e.g., neuromorphic sensors, low-power AI accelerators, advanced MEMS, metamaterial antennas) and determine their product viability
  • Synthesize global consumer trends with technical feasibility to propose next-generation consumer devices, where AI is the core differentiator, before the market realizes they exist
  • Bridge the gap between R&D (chip design, sensor physics), Engineering (thermal, power, RF), and Business Strategy to turn abstract concepts into executable roadmaps
  • Foster relationships with external technology startups, VCs, accelerators, and universities, to find breakthrough innovations and effectively communicate their value proposition to Samsung R&D teams and executives globally
  • Conduct rapid prototyping assessments, BOM modeling, and risk analysis to validate new product concepts before formulating development plans
  • Be the primary liaison between partners and Samsung by leading discussions, facilitating evaluations, and driving POCs with an eye towards partnership, commercialization, investment, and/or M&A
  • Proactively address ambiguity through strategic thinking followed by tactical execution

Required Skills:

  • Master's degree in Electrical Engineering, Computer Engineering, or related engineering discipline and/or PhD with a focus on hardware, sensors, or embedded systems or equivalent combination of education, training and experience
  • 7+ years of experience in consumer electronics hardware technologies as a technology researcher with a foundational understanding of novel semiconductor innovations and sensor technologies, with the last 2-3 years transitioning into Technical Product Management or Product Strategy
  • Proven deep domain expertise in consumer device architecture, including SoC design, RF systems, power management, and sensor fusion
  • Deep understanding of On-Device AI, AI accelerator architectures, edge computing constraints, and how AI models interact with physical hardware (latency, power, thermal)
  • Acumen to convey findings succinctly in layman's terms as well as envision and explain hypothetical technical implementation in and impacts on existing hardware technology stacks
  • Effective interpersonal and relationship management skills, especially influencing stakeholders without direct authority
  • Experience in leading complex, multi-team and cross-geographic projects to success
  • Excellent written, verbal communications and presentation skills
  • Ability to deal with ambiguity associated with working in a fast-paced and changing environment
  • Strong personal network within the industry, startup and ventures community
  • Must be willing to travel domestically and internationally (15%)

  Special Attributes:

  • Great communication skills: clear, patient, and well adapted to the audience and situation
  • Analytical skills to formulate and present structured, objective recommendations and respond to challenges and objections
  • Personal skills to plan, organize, and prioritize multiple assignments and delivery on tight schedules
  • Ability to position and sell technology to executive audiences

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