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Neuromorphic Computing Research Jobs in Boston, MA

Neuromorphic Computing Research information

See Boston, MA salary details

$12

$24

$40

How much do neuromorphic computing research jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for neuromorphic computing research in Boston, MA is $24.14, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $25.87 per hour, depending on experience, location, and employer.

What is neuromorphic computing research?

Neuromorphic computing research is the study and development of computer systems inspired by the structure and function of the human brain. Researchers in this field design hardware and software that mimic neural architectures, aiming to achieve greater efficiency and adaptability than traditional computing methods. This research often involves creating artificial neurons and synapses using novel materials and architectures to enable advanced tasks like pattern recognition and real-time learning. The ultimate goal is to create energy-efficient, intelligent computing systems for applications ranging from robotics to AI and sensory processing.

What are some common challenges faced by professionals working in neuromorphic computing research?

Professionals in neuromorphic computing research often encounter challenges related to the interdisciplinary nature of the field, requiring deep knowledge of neuroscience, computer engineering, and machine learning. Developing hardware that effectively mimics neural architectures can be complex due to limitations in current fabrication technologies and the need for novel algorithms. Additionally, researchers must frequently collaborate with teams from diverse backgrounds, which necessitates strong communication and adaptability. Securing funding and staying updated with rapid advancements in both neuroscience and AI are also ongoing challenges in this dynamic research area.

What are the key skills and qualifications needed to thrive in Neuromorphic Computing Research, and why are they important?

To thrive in Neuromorphic Computing Research, a strong background in computer science, electrical engineering, neuroscience, and mathematics—often at the graduate level—is essential. Familiarity with programming languages (such as Python or C++), neural network frameworks, hardware description languages, and simulation tools like SpiNNaker or NEST, as well as published research experience, is typically required. Critical thinking, creativity, interdisciplinary collaboration, and effective communication set outstanding researchers apart in this evolving field. These skills and qualities are crucial for driving innovation and bridging the gap between biological intelligence and artificial computing systems.
What job categories do people searching Neuromorphic Computing Research jobs in Boston, MA look for? The top searched job categories for Neuromorphic Computing Research jobs in Boston, MA are:
Infographic showing various Neuromorphic Computing Research job openings in Boston, MA as of July 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $50,215 per year, or $24.1 per hour.
Senior / Principal Neuromorphic Systems Architect

Senior / Principal Neuromorphic Systems Architect

Flagship Pioneering, Inc.

Cambridge, MA

Other

Medical, Retirement

Posted 18 days ago


Job description

The Company

Flagship Labs 119 Inc. (FL119) is an early-stage technology company pioneering a new frontier at the intersection of neuroscience and computation. We are developing next-generation technologies to transform how intelligent systems are built. We believe that the future of artificial intelligence demands a fundamental rethinking of today's paradigms. Our mission is bold and urgent: to build a future where naturalistic, robust intelligence can emerge and operate sustainably at scale.

FL119 is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. At FL119, we are uniquely cross-functional and collaborative. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way.

The Role:

FL119 is seeking a creative and deeply technical Neuromorphic Systems Architect to join our team. Leveling is flexible based on experience.

This role will focus on translating nonlinear neural dynamics into next-generation computational architectures. You will work at the interface of neuroscience, dynamical systems theory, and hardware engineering to design and prototype electronic architectures that embody biologically derived principles of computation.

This is not a conventional AI accelerator role. We are seeking someone who can rethink compute from first principles, designing architectures that leverage recurrence, nonlinearity, sparsity, event-driven signaling, and adaptive dynamics as foundational primitives rather than constraints.

How You Will Contribute:

  • Formalize brain-derived computation using dynamical systems theory and translate these insights into hardware-relevant abstractions.
  • Architect novel neuromorphic or neuro-inspired hardware systems (analog, mixed-signal, in-memory, or alternative substrates).
  • Define system-level architecture, including memory models, communication schemes, and energy-efficient compute primitives.
  • Collaborate with neuroscience, signal processing, and machine learning teams to ensure tight coupling between biological insight and architectural design.
  • Lead feasibility studies, simulations, and early-stage prototyping efforts.
  • Evaluate trade-offs across CMOS, emerging devices, photonic, memristive, or other unconventional compute substrates.
  • Contribute to IP strategy, including invention disclosures and patents.
  • Help shape the long-term compute vision of the company.

Must-have Qualifications:

  • PhD (or equivalent experience) in Electrical Engineering, Applied Physics, Computational Neuroscience, Computer Engineering, or a closely related field.
  • Deep expertise in nonlinear dynamical systems and their application to computation.
  • Experience designing hardware architectures (ASIC, FPGA, analog/mixed-signal, or emerging device technologies such as RRAM, PCM, memristors, etc.).
  • Strong mathematical foundation in dynamical systems, control theory, or computational modeling.
  • Demonstrated ability to move from theory to implementable system design.
  • 5+ years of relevant research or industry experience (level dependent)

Preferred Experience:

  • Prior work in neuromorphic computing or spiking neural network hardware.
  • Experience with event-driven or asynchronous architectures.
  • Familiarity with reservoir computing, recurrent dynamical systems, or physical computing substrates.
  • Experience working in early-stage, fast-paced R&D environments.
  • Track record of patents or high-impact publications in neuromorphic systems or unconventional computing.

ABOUT FLAGSHIP PIONEERING

Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity's most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.  

Flagship has been recognized twice on FORTUNE's "Change the World" list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company's annual list of the World's Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.

At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, "FSP") do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.

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The salary range for this role is $150,000 - $250,000. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. FL119 currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on FL119's good faith estimate as of the date of publication and may be modified in the future.