Intel's Neuromorphic Computing Lab has been at the forefront of brain-inspired computing for nearly a decade, working alongside a global ecosystem of 250+ research groups. Our groundbreaking Loihi ...
Intel's Neuromorphic Computing Lab has been at the forefront of brain-inspired computing for nearly a decade, working alongside a global ecosystem of 250+ research groups. Our groundbreaking Loihi ...
Senior AI Software Architect - Runtime
$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 ...
Senior AI Software Architect - Runtime
$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 ...
AY2025-2026 Position #2623 Electrical & Computer Engineering - Open Rank Faculty Position (Data S...
Dallas, TX · On-site
The technical areas of primary interest for this position focus on machine learning, signal processing, neuromorphic computing, and computer engineering for health-related applications. Exceptional ...
AY2025-2026 Position #2623 Electrical & Computer Engineering - Open Rank Faculty Position (Data S...
Dallas, TX · On-site
The technical areas of primary interest for this position focus on machine learning, signal processing, neuromorphic computing, and computer engineering for health-related applications. Exceptional ...
... and neuromorphic computing. General Duties and Responsibilities: The incumbent faculty member will have primary responsibility for developing an internationally recognized, extramurally funded ...
... and neuromorphic computing. General Duties and Responsibilities: The incumbent faculty member will have primary responsibility for developing an internationally recognized, extramurally funded ...
... Processing, Neuromorphic Computing, and Statistical Modeling. * Demonstrated breadth and depth of knowledge across core areas of data science. * Experience with successful grant writing
... Processing, Neuromorphic Computing, and Statistical Modeling. * Demonstrated breadth and depth of knowledge across core areas of data science. * Experience with successful grant writing
... Processing, Neuromorphic Computing, and Statistical Modeling. * Demonstrated breadth and depth of knowledge across core areas of data science. * Experience with successful grant writing
... Processing, Neuromorphic Computing, and Statistical Modeling. * Demonstrated breadth and depth of knowledge across core areas of data science. * Experience with successful grant writing
... Processing, Neuromorphic Computing, and Statistical Modeling. * Demonstrated breadth and depth of knowledge across core areas of data science. * Experience with successful grant writing
... Processing, Neuromorphic Computing, and Statistical Modeling. * Demonstrated breadth and depth of knowledge across core areas of data science. * Experience with successful grant writing
... Processing, Neuromorphic Computing, and Statistical Modeling. * Demonstrated breadth and depth of knowledge across core areas of data science. * Experience with successful grant writing
... Processing, Neuromorphic Computing, and Statistical Modeling. * Demonstrated breadth and depth of knowledge across core areas of data science. * Experience with successful grant writing
Neuromorphic Computing information
See Texas salary details
$37.7K - $48.2K
5% of jobs
$48.2K - $58.7K
7% of jobs
$58.7K - $69.1K
11% of jobs
$70.7K is the 25th percentile. Wages below this are outliers.
$69.1K - $79.6K
11% of jobs
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12% of jobs
The median wage is $91.5K / yr.
$90K - $100.5K
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4% of jobs
$37.7K
$91.8K
$152.8K
How much do neuromorphic computing jobs pay per year?
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.
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.

Full-time
Medical, Retirement, PTO
Posted 13 days ago
Intel rating
8.8
Based on 143 frontline employees who took The Breakroom Quiz
8th of 139 rated electronics manufacturers
Job description
Intel's Neuromorphic Computing Lab has been at the forefront of brain-inspired computing for nearly a decade, working alongside a global ecosystem of 250+ research groups. Our groundbreaking Loihi series research chips have pioneered event-driven, sparse, and massively parallel neuro-inspired processing, resulting in over 100 peer-reviewed publications. As part of Intel's CTO Office, we're now transforming these research breakthroughs into real-world products that will power the next generation of physical AI systems.
We are seeking a Neuromorphic AI Research Scientistto advance state-of-the-art neuromorphic processor technology toward commercial adoption. This role focuses on modeling, prototyping, and defining architectures and algorithms that enable transformative gains for real-world customer applications in edge computing, signal processing, and autonomous systems.
Key Responsibilities
Design and analyze neuromorphic AI algorithms for robotics, signal processing, control, and learning on edge platforms
Develop research-quality software artifacts including APIs, kernels, and benchmarking tools that enable collaborative innovation
Prototype and evaluate approaches under realistic constraints including quantization, sparsity, memory footprint, latency, and energy optimization
Collaborate with hardware and software engineering teams to translate algorithmic requirements into hardware specifications
Build experimental pipelines and benchmarks for target use cases with comprehensive baseline and ablation studies
Communicate results through technical documentation, customer prototypes, and publications in leading conferences and journals
Contribute to technical thought leadership in neuromorphic computing and present findings to internal and external stakeholders
As a successful candidate, you must possess
Innovative Problem-Solving: Skills to approach complex challenges with creative, out-of-the-box thinking
Collaborative Leadership: Strong interpersonal skills to work effectively across diverse, multidisciplinary teams
Adaptability: Flexibility to navigate the dynamic landscape of emerging AI technologies
Communication Excellence: Skills to articulate complex technical concepts to both technical and non-technical audiences
Results-Oriented Mindset: Drive to translate research innovations into practical, commercial solutions
Intellectual Curiosity: Passion for continuous learning and staying at the cutting edge of neuromorphic computing
Join Intel's pioneering team and help define the next wave of AI technology that will transform industries and create new possibilities. Apply today to be part of this groundbreaking journey from research to real-world impact.
Qualifications:You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Minimum Qualifications:
- PhD (or equivalent research experience) in Computational Neuroscience, Computer Science, Electrical Engineering, Applied Mathematics, Robotics, or a related field.
- 1+ projects demonstrating the skills to turn research ideas into working prototypes and to evaluate them rigorously (benchmarks, baselines, ablations, quantitative reporting).
- 3+ publications in leading journals or conferences on AI/ML, edge computing, robotics, and/or control.
- 2+ years of experience with:
- State-of-the-art AI models, optimization, and at least one of: control/dynamical systems, signal processing, or probabilistic inference.
- Scientific programming for research (e.g., Python or C/C++) including experience with software development best practices (OO design, testing, debugging, documentation, version control, code reviews).
Preferred Qualifications:
- Track record of open-source releases or widely used internal libraries; skills to write high-impact technical narratives (e.g., position papers).
- 1+ years of experience with:
- Strong mathematical background.
- Edge AI HW accelerators or event-based sensors.
- Quantization and computations with low-precision arithmetic.
- Developing software for robotics or other real-time control systems.
- Building performant components in a systems language (e.g., C/C++/assembler) or equivalent performance-oriented environment.
- Profiling and benchmarking algorithms and hardware architectures.
- Hardware architecture and design experience.
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: $170,500.00-315,490.00 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