Our diverse team of engineers and researchers have pioneered sparse, event-based, neuromorphic ... Bachelor's degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or in ...
Our diverse team of engineers and researchers have pioneered sparse, event-based, neuromorphic ... Bachelor's degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or in ...
Senior AI Software Architect - Runtime
$152K - $206K/yr
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 ...
Senior AI Software Architect - Runtime
$152K - $206K/yr
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 ...
2026 PhD Residency - Physical ML & Hardware-in-the-Loop (Future of Compute)
Mountain View, CA · On-site
$109K - $157K/yr
Direct mentorship from experts in neuromorphic systems, mixed-signal test engineering, and physics-aware machine learning. * A collaborative environment that values technical rigor, physical ...
2026 PhD Residency - Physical ML & Hardware-in-the-Loop (Future of Compute)
Mountain View, CA · On-site
$109K - $157K/yr
Direct mentorship from experts in neuromorphic systems, mixed-signal test engineering, and physics-aware machine learning. * A collaborative environment that values technical rigor, physical ...
Head of Embedded Firmware
Palo Alto, CA · On-site
$300K - $400K/yr
Lead Embedded Firmware Engineer You will lead the firmware architecture and development for a ... Custom AI accelerator silicon, neuromorphic compute, or in-memory-compute platforms. * On-device ...
Head of Embedded Firmware
Palo Alto, CA · On-site
$300K - $400K/yr
Lead Embedded Firmware Engineer You will lead the firmware architecture and development for a ... Custom AI accelerator silicon, neuromorphic compute, or in-memory-compute platforms. * On-device ...
The intern should have a background in physics, or electrical or computer engineering and computer ... neuromorphic systems), ASICs and FPGAs. The analysis will provide basis to a larger DOE effort ...
The intern should have a background in physics, or electrical or computer engineering and computer ... neuromorphic systems), ASICs and FPGAs. The analysis will provide basis to a larger DOE effort ...
... neuromorphic and edge computing applications. In the absence of Moore's Law Scaling, the DOE must ... PhD or equivalent in a Computing Science or Computer Engineering-related scientific discipline
... neuromorphic and edge computing applications. In the absence of Moore's Law Scaling, the DOE must ... PhD or equivalent in a Computing Science or Computer Engineering-related scientific discipline
... neuromorphic and edge computing applications. In the absence of Moore's Law Scaling, the DOE must ... PhD or equivalent in a Computing Science or Computer Engineering-related scientific discipline
... neuromorphic and edge computing applications. In the absence of Moore's Law Scaling, the DOE must ... PhD or equivalent in a Computing Science or Computer Engineering-related scientific discipline
... neuromorphic and edge computing applications. In the absence of Moore's Law Scaling, the DOE must ... PhD or equivalent in a Computing Science or Computer Engineering-related scientific discipline
... neuromorphic and edge computing applications. In the absence of Moore's Law Scaling, the DOE must ... PhD or equivalent in a Computing Science or Computer Engineering-related scientific discipline
Neuromorphic Engineering information
See California salary details
$32.1K - $37.7K
9% of jobs
$37.7K - $43.4K
6% of jobs
$47.5K is the 25th percentile. Wages below this are outliers.
$43.4K - $49K
14% of jobs
$49K - $54.7K
10% of jobs
The median wage is $60.3K / yr.
$54.7K - $60.3K
12% of jobs
$60.3K - $66K
9% of jobs
$70.4K is the 75th percentile. Wages above this are outliers.
$66K - $71.6K
21% of jobs
$71.6K - $77.3K
5% of jobs
$77.3K - $82.9K
6% of jobs
$82.9K - $88.6K
4% of jobs
$88.6K - $94.2K
4% of jobs
$32.1K
$62.2K
$94.2K
How much do neuromorphic engineering jobs pay per year?
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.
How much do neuromorphic engineers make?
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 engineers make $500,000?
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.
Which companies are working on neuromorphic computing?

$143K - $189K/yr
Full-time
Medical, Retirement, PTO
Posted 14 days ago
Intel rating
8.7
Based on 147 frontline employees who took The Breakroom Quiz
19th of 156 rated electronics manufacturers
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.
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.
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.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