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Neuromorphic Computing Jobs (NOW HIRING)

Intel

Senior AI Software Architect - Runtime

Hillsboro, OR · On-site

$141K - $191K/yr

For nearly a decade, Intel's Neuromorphic Computing Lab-together with a global ecosystem of 250+ research groups-has explored architectures, algorithms, and software inspired by the brain ...

Intel

Senior AI Software Architect - Runtime

Austin, TX · On-site

$128K - $174K/yr

For nearly a decade, Intel's Neuromorphic Computing Lab-together with a global ecosystem of 250+ research groups-has explored architectures, algorithms, and software inspired by the brain ...

Extropic

Experimental Physicist

Boston, MA · On-site

$150K - $250K/yr

Experience with neuromorphic computing, analog computing, or unconventional computing architectures * Background in mesoscopic physics, semiconductor device physics, or quantum transport * Experience ...

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How much do neuromorphic computing jobs pay per year?

As of Jun 4, 2026, the average yearly pay for neuromorphic computing in the United States is $98,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $111,500.00 per year, depending on experience, location, and employer.

What is a Neuromorphic Computing job?

A Neuromorphic Computing job involves designing and developing hardware and software that mimic the neural structure and functioning of the human brain. Professionals in this field work on creating energy-efficient, brain-inspired computing architectures for AI, machine learning, and robotics applications. Responsibilities may include research, chip design, algorithm development, and system integration. These roles are typically found in academia, government labs, tech companies, and semiconductor industries.

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

To thrive in Neuromorphic Computing, you need a strong background in electrical engineering, computer science, neuroscience, and machine learning, often supported by an advanced degree such as a Master's or Ph.D. Experience with neuromorphic hardware platforms, programming languages (such as Python and C++), and familiarity with simulation tools and FPGA development is highly valued. Creative problem-solving, interdisciplinary collaboration, and effective communication are essential soft skills for this field. These competencies enable professionals to innovate at the intersection of biology and technology, facilitating the development of advanced computing systems that mimic neural processes.

What are the typical daily responsibilities of someone working in Neuromorphic Computing?

Professionals in Neuromorphic Computing spend their days designing, simulating, and testing hardware or algorithms inspired by neural architectures. This often involves collaborating with interdisciplinary teams across engineering, neuroscience, and computer science, reviewing research, and troubleshooting experimental prototypes. Tasks may also include publishing research findings, developing software models, and staying updated on the latest advancements in artificial intelligence. The role typically requires both independent research and teamwork to drive innovation and transfer new concepts from the lab to practical applications.
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Neuromorphic Computing jobs near you
Infographic showing various Neuromorphic Computing job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $98,528 per year, or $47.4 per hour.

AI Research Scientist - Photonic & Neuromorphic Computing

Axiomatic_AI

Boston, MA • On-site, Remote

Full-time

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

Job description

About us: Axiomatic AI is building a new class of AI systems designed to reason with the rigor of the scientific method. By combining deep learning with formal logic and physics-based modeling, we create verifiable, interpretable AI systems that collaborate with and support human researchers in high-stakes scientific and engineering workflows. Our mission, 30×30, is to deliver a 30× improvement in the speed, accessibility, and cost of semiconductor and photonic hardware development by 2030. We aim to revolutionize hardware design and simulation in these industries and are building a team of highly motivated professionals to bring these innovations from research into commercial products. Position overview: As an AI Research Scientist focused on photonic and neuromorphic computing, you will play a key role in designing AI algorithms and architectures, as well as simulation and optimization frameworks for emerging, non-traditional computing platforms. You will contribute to the development of algorithms, digital twins, and training methods that bridge AI, physics, and hardware-aware system design integrated within Axiomatic's next-generation agentic-AI-aware computational science tools. This role is part of Axiomatic's long-term research and product roadmap and spans multiple projects and initiatives, working closely with AI researchers, physicists, and software engineers to translate advanced concepts into scalable, high-impact solutions. Your mission
  • Simulation and digital twins: Develop simulation and digital-twin tools that capture physical effects such as nonlinearities, noise, and precision limits, enabling hardware-aware algorithm development.
  • Co-design and collaboration: Work closely with internal AI, software, and hardware teams to ensure tight alignment between algorithms, system constraints, and long-term platform goals such as automation of scientific workflows.
  • Algorithm and system design: Design and prototype machine-learning architectures and physics-aware optimization workflows for neuromorphic systems, exploring how AI models can be efficiently mapped onto emerging hardware substrates.
  • Research, benchmarking, and reporting: Evaluate system-level performance tradeoffs, conduct benchmarking studies, document results, and contribute to technical decision-making across Axiomatic's R&D portfolio.
Key requirements
  • PhD in Computer Science, Artificial Intelligence, Physics, Electrical Engineering, Applied Mathematics, or a related field.
  • Strong background in machine learning and neural-network architectures, with experience or strong interest in hardware-algorithm co-design, neuromorphic systems, or analog/unconventional computing.
  • Expert-level proficiency in Python and modern ML frameworks.
  • Solid understanding of scientific computing, modeling, and data-driven experimentation.
  • Ability to collaborate effectively in a multidisciplinary, fast-paced research environment.
Nice to have
  • Background in photonic, analog, or non-CMOS computing systems.
  • Experience with spiking neural networks, energy-efficient AI, or hardware-aware ML.
  • Familiarity with physical simulation tools or custom modeling pipelines.
  • Contributions to open-source or research software projects.
What we offer:
  • Competitive compensation
  • Stock Options Plan: Empowering you to share in our success and growth.
  • Cutting-Edge Tools: Access to state-of-the-art tools and collaborative opportunities with leading experts in artificial intelligence, physics, hardware and electronic design automation.
  • Professional Growth: Opportunities to attend industry conferences, present research findings, and engage with the global AI research community.
  • Impact-Driven Culture: Join a passionate team focused on solving some of the most challenging problems at the intersection of AI and hardware.
Team work model:Open to remote within the US Primary location:Boston, US Why join us? At Axiomatic_AI, you will be working on technology that drives innovation in AI for scientific and engineering applications in line with our 30 x 30 mission. This is your opportunity to contribute to the development of new AI architectures that can reason coherently and produce interpretable and verifiable solutions. Consequently, see those ideas commercialized into products that will shape the future of hardware and computing, while collaborating with a global team of engineers and AI specialists. We believe in pushing the boundaries of what is possible and continuously seek to redefine the intersection of AI, with focus on formal consistency. If you're ready to take your expertise in artificial intelligence and physics to the next level, we want to hear from you! Worried about not meeting every qualification? Studies show that women and people of color are less likely to apply for jobs unless they meet every listed requirement. At Axiomatic-AI, we are dedicated to creating a diverse, inclusive, and authentic workplace. If this role excites you but your background doesn't perfectly match every qualification, we still encourage you to apply. You could be the perfect fit for this position or another opportunity with us.

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