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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 ...

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 Aug 25, 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 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.

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?

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What states have the most Mid Level Neuromorphic Computing jobs?

States with the most job openings for Mid Level Neuromorphic Computing jobs include:

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The top searched job categories for Mid Level Neuromorphic Computing jobs are:

Infographic showing various Mid Level Neuromorphic Computing job openings in the United States as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% In-person job distribution, with an average salary of $86,666 per year, or $41.7 per hour.

AI Systems Software Engineer - Neuromorphic Computing

Hillsboro, OR • On-site


Intel Corporation
Manufacturing • 10K+ employees

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 159 rated electronics manufacturers

Great coworkers

People enjoy working here

Good employer


$129 - $211/hr

Other

Medical, Retirement, PTO

Posted 5 days ago


Job description

Job Details: Job Description

About the Organization As part of Intel's CTO Office, you will join a vertically integrated incubation effort dedicated to bringing Intel's neuromorphic technology innovations to market. Our diverse team of engineers and researchers has pioneered sparse, event-based neuromorphic architectures over multiple generations and is now focused on commercializing the technology in future Intel and partner products.

The Opportunity

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's extraordinary efficiency, scalability, and adaptability. Our Loihi series of research chips pioneered event-driven, sparse, and massively parallel neuro-inspired processing, fueling over 100 peer-reviewed publications that validate the promise of this novel approach. Now, we're entering an exciting new chapter: transforming these breakthroughs into real-world products that will power the coming era of physical AI systems beyond the reach of GPUs and mainstream AI accelerators. If you are passionate about pushing the boundaries of computing, from low-level hardware enablement to software abstractions and applications, join us. Help define the next wave of AI technology that combines the proven advantages of Intel's neuromorphic computing technology with the versatility demanded by modern AI workloads.

Position Overview

Join the team defining and implementing Intel's product-grade neuromorphic AI software stack. In this role, you will develop and validate systems software that enables Intel neuromorphic accelerators, spanning device interfaces, operating system integration, runtime APIs, simulation environments, and integration with higher-level AI and application frameworks. You will collaborate with hardware, software, and solution architects to deliver robust, efficient, and scalable software that enables customers to build high-performance physical AI applications powered by Intel's neuromorphic technology.

Responsibilities
  • Design, develop, and validate system-level software for future neuromorphic accelerator platforms, including device-driver interfaces, operating system integration, runtime APIs, and simulation environments.
  • Analyze functional and performance issues across software drivers, runtimes, and applications; implement improvements and develop supporting profiling, debugging, benchmarking, and validation tools.
  • Collaborate with hardware, architecture, operating-system, and application teams to enable upcoming platform features, recommend hardware and software improvements, and ensure expected functionality and performance on next-generation systems.
Minimum Qualifications
  • BS in Computer Science, Computer Engineering, Electrical Engineering, or a closely related engineering discipline.
  • 5+ years of industry experience developing and validating production software for GPUs, AI accelerators, embedded devices, or other hardware platforms, including work across device drivers, runtime systems, APIs, simulation environments, or application frameworks.
  • 5+ years of production software development experience in C or C++ and Python, including systems-level or performance-critical software.
  • Experience designing, debugging, integrating, and validating software across hardware, operating system, driver, runtime, and application boundaries.
  • Experience applying standard software engineering practices, including design and code reviews, profiling, benchmarking, correctness and performance regression testing, build and toolchain discipline, and CI/CD.
Preferred Qualifications
  • Post graduate degree in Computer Science, Computer Engineering, Electrical Engineering, or a closely related engineering discipline.
  • Experience developing Linux device drivers, hardware abstraction layers, low-level runtime libraries, or platform services for GPUs or other accelerators.
  • Experience with low-level systems and accelerator programming technologies such as LLVM, oneAPI, OpenCL, SYCL, or CUDA.
  • Experience developing tools for hardware and software validation, profiling, debugging, tracing, or performance analysis.
  • Experience with hardware and software co-design, hardware simulator development, or performance modeling.
  • Experience with robotics, edge AI, or real-time systems, including frameworks such as ROS 2.
  • Experience with AI, deep learning, or optimization workloads and frameworks such as PyTorch, JAX, TensorFlow, ONNX, OpenVINO, or IREE.
Job Details

Job Type: Experienced Hire

Shift: Shift 1 (United States of America)

Primary Location: US, Oregon, Hillsboro

Additional Locations:

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust: N/A

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.

Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US

$128,880.00-211,200.00 USD. The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.

  • Job posting details (such as work model, location or time type) are subject to change.
  • ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during your hiring process, please report this immediately to your recruiter.

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968


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