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Mid Level Neuromorphic Computing Jobs in Massachusetts

Senior Software Engineer (Cloud)

Boston, MA

$133K - $175K/yr

This position is ideal for a mid-level or senior engineer who is looking for an opportunity to own ... Stay informed about advancements in cloud computing, distributed systems, and secure software ...

Senior Software Engineer (Cloud)

Boston, MA

$133K - $175K/yr

This position is ideal for a mid-level or senior engineer who is looking for an opportunity to own ... Stay informed about advancements in cloud computing, distributed systems, and secure software ...

Senior Software Engineer (Cloud)

Boston, MA · On-site

$133K - $175K/yr

This position is ideal for a mid-level or senior engineer who is looking for an opportunity to own ... Stay informed about advancements in cloud computing, distributed systems, and secure software ...

Systems Administrator

Boston, MA · On-site

$72K - $120K/yr

In this mid-level position, a successful candidate will leverage experience providing end-user ... computing environments. This position is located in our Lexington, MA office. A secret clearance is ...

Demonstrate functional expertise for cloud computing technologies, configurations, and environments ... for mid-level, and 10 years' experience for senior-level) * Active Security Clearance Required:

Cloud SME (Secret) (4442)

Boston, MA · On-site

$103K - $172K/yr

Demonstrate technical expertise in cloud computing technologies, configurations, and environments ... Must have Bachelor's Degree or equivalent certification plus 4-7 years' experience for mid-level ...

Performs duties on tasks that require expertise in firewall, cyber, cloud computing, implementation ... Must have Bachelor's degree or equivalent certification plus 3-6 years' experience for mid-level.

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Showing results 1-20

Mid Level Neuromorphic Computing information

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.
What are the most commonly searched types of Neuromorphic Computing jobs in Massachusetts? The most popular types of Neuromorphic Computing jobs in Massachusetts are:
What are popular job titles related to Mid Level Neuromorphic Computing jobs in Massachusetts? For Mid Level Neuromorphic Computing jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Mid Level Neuromorphic Computing jobs in Massachusetts look for? The top searched job categories for Mid Level Neuromorphic Computing jobs in Massachusetts are:
Senior / Principal Neuromorphic Systems Architect

Senior / Principal Neuromorphic Systems Architect

Flagship Pioneering, Inc.

Cambridge, MA

Other

Medical, Retirement

Re-posted 12 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.