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Neuromorphic Engineering Jobs (NOW HIRING)

VP of Optics

San Jose, CA · On-site

$325K - $400K/yr

Instead of traditional electronic circuits, we use silicon photonics and an active, programmable ... Experience with neuromorphic computing or advanced AI hardware architectures. * Knowledge of ...

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Neuromorphic Engineering information

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How much do neuromorphic engineering jobs pay per year?

As of Jun 19, 2026, the average yearly pay for neuromorphic engineering in the United States is $62,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $72,000.00 per year, depending on experience, location, and employer.

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

To thrive in Neuromorphic Engineering, you need a strong background in electrical engineering, neuroscience, computer science, or a related field along with experience in designing algorithms and hardware modeled after neural systems. Familiarity with tools such as CAD software for circuit design, simulation platforms like MATLAB or Python, and knowledge of neuromorphic chips and systems is often required. Strong problem-solving abilities, creativity, and effective teamwork skills are highly valued in this interdisciplinary field. These competencies are essential for innovating and collaborating on the development of next-generation computing systems that bridge neuroscience and engineering.

What jobs pay $10,000 a month without a degree?

In neuromorphic engineering, most roles require specialized education or experience; however, high-paying freelance consulting or entrepreneurial ventures in related tech fields can sometimes generate $10,000 or more monthly without a formal degree. These opportunities often depend on skills, reputation, and market demand, and may involve self-directed learning, certifications, or building a strong portfolio in areas like AI, machine learning, or hardware development.

What are some common challenges faced by professionals in neuromorphic engineering?

Neuromorphic engineering professionals often encounter the challenge of translating complex biological neural processes into practical and scalable hardware and algorithms. Working in this field typically involves troubleshooting new or experimental designs, which can be more unpredictable and iterative than traditional engineering roles. Effective collaboration with neuroscientists, computer scientists, and engineers is crucial, as projects are highly interdisciplinary. Staying updated on rapid technological advancements and emerging research is also a key part of the job, requiring ongoing learning and adaptability.

What is the salary of a neuromorphic computing engineer?

The salary of a neuromorphic engineering or computing engineer typically ranges from $80,000 to $150,000 annually, depending on experience, education, and location. Entry-level positions may start lower, while experienced professionals with specialized skills in hardware design, neural networks, or AI integration can earn higher salaries.

What is a neuromorphic engineer?

A neuromorphic engineer designs and develops hardware and software systems inspired by the structure and function of biological neural networks. They often work with specialized chips, such as neuromorphic processors, and apply knowledge of neuroscience, electronics, and machine learning to create energy-efficient, brain-inspired computing systems.

What engineers make $500,000?

Senior engineers in specialized fields such as neuromorphic engineering, software engineering, or data science can reach or exceed a $500,000 annual salary, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding managerial or executive positions, or working for large technology companies that offer stock options and bonuses.

What is a Neuromorphic Engineering job?

A Neuromorphic Engineering job involves designing hardware and algorithms that mimic the structure and function of the human brain. Engineers in this field develop neuromorphic chips, spiking neural networks, and energy-efficient computing systems for tasks like artificial intelligence, robotics, and edge computing. Their work bridges neuroscience, computer science, and electrical engineering to create adaptive, low-power solutions for complex computations.

What are the most commonly searched types of Neuromorphic Engineering jobs? The most popular types of Neuromorphic Engineering jobs are:
What states have the most Neuromorphic Engineering jobs? States with the most job openings for Neuromorphic Engineering jobs include:
Infographic showing various Neuromorphic Engineering job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 72% In-person, 7% Hybrid, and 21% Remote job distribution, with an average salary of $62,977 per year, or $30.3 per hour.
Senior AI Software Architect - Runtime

Senior AI Software Architect - Runtime

Intel

Santa Clara, CA

$152K - $206K/yr

Full-time

Medical, Retirement, PTO

Posted 20 days ago


Intel rating

8.8

Company rating: 8.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

8th of 139 rated electronics manufacturers


Job description

Job Details:Job Description: 

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 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 building Intel's product-grade neuromorphic AI execution stack targeting edge and robotic systems. In this role, you will architect and lead the development of the firmware, runtime, and performance infrastructure, working closely with hardware, compiler, systems, and application teams to deliver a robust, observable, and high-performance software stack. You will set technical direction for a critical part of the platform while remaining hands-on in architecture and implementation.
Responsibilities:

  • Define and drive the technical vision, architecture, and roadmap for Intel's neuromorphic runtime software stack, while contributing hands-on to critical design and implementation.

  • Architect, develop, and optimize firmware and runtime components, including execution control, scheduling, data movement, memory management, and device interfaces.

  • Architect and deliver performance infrastructure, including profiling, tracing, debugging, benchmarking, and regression frameworks needed for optimization and product release.

  • Integrate the runtime stack into existing robotics and edge software ecosystems, to enable efficient deployment and developer adoption.

  • Collaborate with hardware, compiler, systems, application, and solution teams, as well as customers and external partners, to translate platform and workload requirements into robust software capabilities.

  • Provide technical leadership across the runtime area by establishing engineering practices, driving software quality and release discipline, mentoring engineers, and helping scale the team over time.


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.

Qualifications:

Minimum Qualifications

  • BSc, MSc, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related technical field.

  • 5+ years of experience developing firmware, runtime, performance, or other low-level systems software for AI or accelerators, including execution environments, profiling, debugging, and related infrastructure, with experience in technologies such as CUDA, LLVM, oneAPI, SYCL, ONNX, IREE, OpenVINO, TVM.

  • 5+ years of experience leading software architecture for complex AI, runtime, or accelerator software systems, including defining technical direction and guiding implementation.

  • 8+ years of experience developing maintainable, production-grade software in C/C++ and Python, including systems-level and performance-critical code, using disciplined engineering practices such as benchmarking, correctness and performance regression testing, build/toolchain management, and CI/CD.

  • 5+ years of experience with AI, deep learning, or optimization workloads using frameworks such as PyTorch, JAX, or TensorFlow.

Preferred Qualifications

  • Experience managing and mentoring engineers, and leading delivery across cross-functional teams spanning hardware, systems software, compiler, and applications.

  • Experience with robotics, edge, or real-time systems, including software ecosystems such as ROS2.

  • Experience in HW/SW co-design, hardware simulator development, or software bring-up for emerging accelerator architectures.

  • Experience with parallel computing paradigms or spatial / unconventional AI hardware accelerators.

  • Experience with embedded or real-time Linux, device-driver / platform bring-up, or other low-level deployment software for edge systems.

  • Prior contributions to open-source software 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:The mission of the Corporate Technology Office (CTO) is to incubate and develop strategically important emerging technologies that will serve as building blocks for computing systems and platforms of the future. This is done in collaboration with the business units of Intel, with the goal of transferring these technologies to the business units for productization and revenue generation.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: $195,200.00-361,200.00 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

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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