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Mid Level Neuromorphic Computing Jobs (NOW HIRING)

... computing, from transistor-level innovation to software abstractions, join us. Help define the next wave of AI technology that harnesses the proven advantages of Intel's neuromorphic computing ...

... computing, from transistor-level innovation to software abstractions, join us. Help define the next wave of AI technology that harnesses the proven advantages of Intel's neuromorphic computing ...

Senior AI Software Architect - Runtime

Santa Clara, CA · On-site

$152K - $206K/yr

... computing, from transistor-level innovation to software abstractions, join us. Help define the next wave of AI technology that harnesses the proven advantages of Intel's neuromorphic computing ...

Mid-Level Computing Architect

Everett, WA · On-site

$125K - $170K/yr

Mid-Level Computing Architect Company: The Boeing Company The Boeing Company is currently seeking a Mid-Level Computing Architect to join the team in Everett, WA . The Mid-Level Boeing Commercial ...

Mid-Level Computing Architect

Everett, WA · On-site

$125K - $170K/yr

Mid-Level Computing Architect Company: The Boeing Company The Boeing Company is currently seeking a Mid-Level Computing Architect to join the team in Everett, WA . The Mid-Level Boeing Commercial ...

Mid-Level Computing Architect

Everett, WA · On-site

$125K - $170K/yr

Mid-Level Computing Architect Company: The Boeing Company The Boeing Company is currently seeking a Mid-Level Computing Architect to join the team in Everett, WA . The Mid-Level Boeing Commercial ...

Mid Level Cloud Engineer

$57 - $76.25/hr

Mid Level Cloud Engineer Remote Changeis, Inc. is seeking a Mid-Level Cloud Engineer to support ... Design and plan cloud computing solutions aligned with enterprise architecture standards

We provide these services in multiple computing environments and use technologies such as client/server architecture, object-oriented programming languages and tools, distributed database management ...

Mid-Level Systems Engineer

Dayton, OH · On-site

$130K - $185K/yr

Mid-Level Systems Engineer Location: Dayton, Ohio Security Clearance: U.S. Citizenship Required ... This role focuses on research, development, and experimentation with distributed computing ...

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Mid Level Neuromorphic Computing information

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$11K

$86.7K

$113K

How much do mid level neuromorphic computing jobs pay per year?

As of Jun 24, 2026, the average yearly pay for mid level neuromorphic computing in the United States is $86,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $107,500.00 per year, depending on experience, location, and employer.

What are mid level neuromorphic computing professionals?

Mid level neuromorphic computing professionals are specialists with several years of experience who design, develop, and optimize hardware and software systems inspired by the structure and function of the human brain. They typically work on building and programming neuromorphic chips, developing algorithms that mimic neural processes, and integrating these systems into real-world applications such as robotics or edge computing. Their expertise bridges neuroscience, computer engineering, and artificial intelligence, and they often collaborate with interdisciplinary teams to advance brain-inspired computing technologies.

What are some common challenges faced by professionals in mid-level neuromorphic computing roles, and how can they be addressed?

Professionals in mid-level neuromorphic computing roles often encounter challenges such as integrating novel hardware with existing software systems, managing the complexity of neural-inspired algorithms, and keeping pace with rapid advancements in the field. Collaborating closely with multidisciplinary teams—including hardware engineers, data scientists, and neuroscientists—can help address these challenges. Additionally, staying updated on the latest research and industry trends, as well as participating in collaborative projects, can enhance problem-solving skills and foster innovation in this evolving area.

What is the difference between Mid Level Neuromorphic Computing vs Mid Level Machine Learning Engineer?

AspectMid Level Neuromorphic ComputingMid Level Machine Learning Engineer
Required CredentialsBachelor's in Computer Science, Electrical Engineering, or related field; knowledge of neuromorphic hardwareBachelor's in Computer Science, Data Science, or related; experience with ML frameworks
Work EnvironmentResearch labs, hardware development, AI hardware companiesTech companies, startups, data-driven organizations
Industry UsageAI hardware, neuromorphic chip design, cognitive computingSoftware development, AI applications, data analysis

Mid Level Neuromorphic Computing professionals focus on hardware and cognitive architectures inspired by the brain, often working with specialized hardware and research teams. In contrast, Mid Level Machine Learning Engineers develop algorithms and models primarily in software to solve data-driven problems. Both roles require a strong technical background but differ in their focus on hardware versus software applications.

What are the key skills and qualifications needed to thrive as a Mid Level Neuromorphic Computing Engineer, and why are they important?

To thrive as a Mid Level Neuromorphic Computing Engineer, you need a solid background in computer engineering, neuroscience, and machine learning, usually supported by a relevant degree and experience with neural network architectures. Familiarity with tools like Python, MATLAB, TensorFlow, and simulation platforms such as NEST or SpiNNaker, along with knowledge of specialized hardware, is typically required. Strong problem-solving, collaboration, and communication skills help you innovate and effectively share complex ideas with multidisciplinary teams. These skills and qualifications are crucial for developing advanced neuromorphic systems that bridge neuroscience and AI, pushing the boundaries of efficient computing.
More about Mid Level Neuromorphic Computing jobs
What cities are hiring for Mid Level Neuromorphic Computing jobs? Cities with the most Mid Level Neuromorphic Computing job openings:
What are the most commonly searched types of Neuromorphic Computing jobs? The most popular types of Neuromorphic Computing jobs are:
What states have the most Mid Level Neuromorphic Computing jobs? States with the most job openings for Mid Level Neuromorphic Computing jobs include:
Infographic showing various Mid Level Neuromorphic Computing job openings in the United States as of June 2026, with employment types broken down into 62% Full Time, 13% Part Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $86,666 per year, or $41.7 per hour.
Senior / Principal Neuromorphic Systems Architect

Senior / Principal Neuromorphic Systems Architect

Flagship Pioneering, Inc.

Cambridge, MA • On-site

Other

Medical, Retirement

Posted 17 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.