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Mid Level Neuromorphic Computing Jobs (NOW HIRING)

Senior AI Software Architect - Runtime

Hillsboro, OR · On-site

$141K - $191K/yr

... 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 ...

Senior AI Software Architect - Runtime

Austin, TX · On-site

$128K - $174K/yr

... 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 ...

Senior AI Software Architect - Runtime

Santa Clara, CA · On-site

$152K - $206K/yr

... 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

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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 Jul 15, 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 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.
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? The most popular types of Neuromorphic Computing jobs are:
What states have the most Mid Level Neuromorphic Computing jobs? States with the most job openings for Mid Level Neuromorphic Computing jobs include:
Infographic showing various Mid Level Neuromorphic Computing job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $86,666 per year, or $41.7 per hour.
Senior AI Software Engineer - Neuromorphic Computing

Senior AI Software Engineer - Neuromorphic Computing

Intel

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Medical, Retirement, PTO

Posted 20 hours ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

11th of 142 rated electronics manufacturers


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 have pioneered sparse, event-based, neuromorphic architecture 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.

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 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 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. Contribute across all levels of the stack from drivers to runtime to AI framework integration in collaboration with hardware, software and solution architects to deliver robust, efficient, scalable software solutions that enable customers to build high-performance physical AI applications powered by Intel's neuromorphic technology.
Responsibilities

  • Design, implement and optimize Intel's neuromorphic AI compiler and runtime environment.
  • Contribute to tools and infrastructure that enable performance analysis, verification, debugging, and optimization across the software stack.
  • Integrate software stack into external ecosystems, particularly robotics and edge AI frameworks.
  • Collaborate with internal compiler, hardware, systems teams and external customers to improve software quality, performance, and usability across the stack.
Qualifications:

The Minimum qualifications are required to be initially considered for this position. Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or in a STEM related field.
  • 3+ years of experience developing AI compiler, runtime, performance, or systems software, including execution environments, profiling, or debugging infrastructure in frameworks like ONNX, IREE, OpenVINO, TVM, MLIR, XLA.
  • 3+ years of experience architecting and implementing production-grade software systems for maintainability, using standard engineering practices (e.g. profiling, benchmarking, correctness/performance regression testing, build/toolchain discipline, or CI/CD).
  • 3+ years of experience with production software development in Python and C/C++, including systems-level and performance-critical code.
  • 3+ years of experience with AI, deep learning, or optimization algorithms using frameworks such as PyTorch, JAX, or TensorFlow.

Preferred Qualifications

  • Post graduate degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or in a STEM related field.
  • Strong expertise in robotics or real-time systems including frameworks such as ROS2.
  • Experience in low-level systems and accelerator programming (CUDA, LLVM, OneAPI, OpenCL, SYCL).
  • Experience in HW/SW co-design and hardware simulator development.
  • Experience with effective agentic AI software engineering practices.
  • Experience with parallel computing paradigms or spatial AI hardware accelerators.
  • Expertise developing software architectures and managing software projects.
  • Experience working effectively in cross functional teams spanning hardware, systems software, and applications.
  • Prior contributions to open-source projects.
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, California, Santa Clara, US, Texas, AustinBusiness group:Intel makes possible the most amazing experiences of the future. You may know us for our processors. But we do so much more. Intel invents at the boundaries of technology to make amazing experiences possible for business and society, and for every person on Earth. Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances in memory and programmable solutions, and the promise of always-on 5G connectivity, Intel is disrupting industries and solving global challenges. Leading on policy, diversity, inclusion, education and sustainability, we create value for our stockholders, customers, and society.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 TrustN/ABenefits

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: $149,750.00-275,580.00 USDThe 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 our 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