ZipRecruiter

Log In

1

Mid Level Neuromorphic Computing Jobs in Massachusetts

zeroRISC

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 ...

zeroRISC

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 ...

zeroRISC

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 ...

Riverside Research

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 ...

next page

Showing results 1-20

All JobsMid Level Neuromorphic Computing JobsMid Level Neuromorphic Computing Jobs in Massachusetts

Mid Level Neuromorphic Computing information

What is a mid level neuromorphic computing professional?

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?

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:
Mid Level Neuromorphic Computing jobs near you
Infographic showing various Mid Level Neuromorphic Computing job openings in Massachusetts as of July 2026, with employment types broken down into 2% Locum Tenens, 78% Full Time, 15% Part Time, 3% Temporary, and 2% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution.

Senior / Principal Neuromorphic Systems Architect (Cambridge)

Flagship Pioneering

Cambridge, MA • On-site

$150K - $250K/yr

Part-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

Flagship Labs 119 Inc. (FL119) is an early-stage technology company pioneering at the intersection of neuroscience and computation. We build next‑generation technologies to transform how intelligent systems are built and to enable naturalistic, robust intelligence at scale.

The Role

Neuromorphic Systems Architect – responsible for translating nonlinear neural dynamics into next‑generation computational architectures. The role bridges neuroscience, dynamical systems theory, and hardware engineering to design electronic architectures that embody biologically derived principles of computation.

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.
Compensation

Salary range: $150,000 - $250,000. Healthcare coverage, annual incentive program, retirement benefits, and a broad range of other benefits are offered.

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.

#J-18808-Ljbffr

Apply