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Mid Level Neuromorphic Computing Jobs in Warwick, RI

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Mid Level Neuromorphic Computing information

See Warwick, RI salary details

$11K

$86.9K

$113.3K

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

As of Aug 26, 2026, the average yearly pay for mid level neuromorphic computing in Warwick, RI is $86,903.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,200.00 and $107,800.00 per year, depending on experience, location, and employer.

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 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 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.

Chemical Engineering, Environmental Engineering and Materials Science and Engineering Assistant/Asso

Providence, RI • On-site


Brown University
Colleges, Universities, and Professional Schools • 5 - 10K employees

8.1

Company rating: 8.1 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

167th of 622 rated colleges and universities

Great coworkers

People enjoy working here

Good employer


Full-time

Posted 27 days ago


Job description

Description
The School of Engineering at Brown University invites applications for several full-time faculty positions at the Assistant or Associate Professor level (pre-tenure), with an expected start date of July 1, 2027. We seek visionary researchers and educators in the fields of Chemical Engineering, Environmental Engineering, and Materials Science and Engineering, broadly defined.
Established in 1847, the engineering program at Brown is the oldest in the Ivy League and the third oldest civilian engineering program in the country. Brown Engineering is distinguished by a unique, non-departmental structure designed to break down traditional academic silos, while offering rigorous accredited programs in all major branches of engineering. Successful applicants will build an impactful, independently funded research program that fosters deep interdisciplinary collaboration. We welcome candidates utilizing a broad spectrum of modern research methodologies.
Areas of Interest
Chemical and Environmental Engineering
We welcome applicants working across a wide range of forward-looking areas, with specific interests including, but not limited to:
  • Industrial Decarbonization: Novel pathways for difficult-to-abate sectors such as green cement, low-carbon steel, sustainable hydrocarbon management, metabolic engineering, and synthetic fuel development.
  • Modeling & Systems Integration: Optimization theory, physical modeling, large-scale energy systems integration, computational discovery, atmospheric dynamics, and life-cycle analysis.
  • Separations and Transport Phenomena: Advanced membranes, electrochemical separations, voltage-responsive materials, fate and transport of environmental pollutants.
  • Critical Minerals Recovery: Sustainable extraction, recycling, and processing of elements essential to the global energy transition.
  • Coastal & Climate Resilience: Engineering solutions addressing sea-level rise, infrastructure protection, natural hazards, water sustainability, and ecosystem vulnerability.
  • Environmental Microbiology: microbial fuel cells, biotransformation of emerging contaminants, methanotrophs for climate change mitigation, metagenomics of microbial communities, plant-microbe interactions.
  • Water Treatment Technologies: bioreactors, forward osmosis, nanofiltration, nanosorbents, advanced oxidation processes.

Materials Science and Engineering
We seek candidates pushing the boundaries of structure, properties, and processing of materials, with specific interests including, but not limited to:
  • Quantum Materials & Devices: Design, synthesis, and multiscale modeling of materials for quantum computing, light-driven phenomena, advanced sensing, and solid-state devices,
  • AI-Enabled Materials Discovery & Characterization: Application of machine learning, autonomous workflows, and AI tools for accelerated materials design and automated characterization.
  • Materials for Low-Power Computing: Novel materials systems designed to address the energy demands of next-generation microelectronics and neuromorphic architectures.
  • Mechano-Coupled Phenomena: Interfacial mechanics, chemo-mechanics, and stress-driven behavior in structural or functional materials, especially under extreme environments.

About the Environment
Brown University's School of Engineering provides a unique environment, emphasizing the power of interdisciplinary thought with a focus on expanding connections across engineering disciplines and beyond traditional departmental and school boundaries. The successful candidate will become affiliated with one or more of the interdisciplinary groups within the School of Engineering and contribute to teaching efforts and research across the school, including Chemical Engineering, Environmental Engineering, and Materials Science and Engineering.
Brown University's SoE seeks to recruit and retain a diverse workforce to maintain the excellence of the University and to offer our students richly varied disciplines, perspectives, viewpoints, and ways of knowing and learning.
Review of applications will begin on October 15, 2026 and will continue until the positions are filled.
Equal Opportunity Employer Statement
Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person's race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, in the administration of its policies, programs, and activities. The University recognizes and rewards individuals on the basis of qualifications and performance. The University maintains certain affirmative action programs in compliance with applicable law.
Qualifications
  • Education: A Ph.D. or equivalent in Engineering, Physics, Chemistry, or a closely related discipline is required by the time of appointment.
  • Research Excellence: A strong track record of high-quality peer-reviewed publications, a compelling future research vision, and clear potential for securing external funding.
  • Teaching & Mentorship: A commitment to excellence in undergraduate and graduate teaching, as well as a dedication to mentoring a diverse student body within the classroom and laboratory.

Application Instructions
Candidates should submit the following materials online via Interfolio:
  1. Cover Letter summarizing your qualifications. Please indicate your primary discipline (ChemE, EnvE, MatSci) and your areas of research in your cover letter. Candidates should address how they would contribute to the research and/or teaching missions of our diverse and inclusive university community.
  2. Curriculum Vitae (CV) including a complete publication list.
  3. Research Statement outlining past achievements and future directions (flexible length; typically ~5 pages).
  4. Teaching Statement describing pedagogical philosophy, research mentorship, and experience (typically 1-2 pages).
  5. Letters of Recommendation: Candidates should have at least three letters of recommendation submitted directly with their application, which should speak to the candidate's potential as a scholar, colleague, mentor, and teacher.

Link to apply: https://apply.interfolio.com/190435
Inquiries about the position should be directed to soefa@brown.edu.


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