Neuromorphic/AI Research Scientist

Intel; Hillsboro (OR); Hybrid; USD 171,000 - 315,000; Full time

Benefits offered by this job

Stock bonuses

Health benefits

Vacation

Job summary

Intel Corporation's Neuromorphic Computing Lab is seeking a PhD-level researcher to design and analyze neuromorphic AI algorithms for edge robotics, develop research-grade software, and collaborate with hardware teams to translate ideas into hardware.

You will publish findings, contribute to benchmarks, and help push the frontier of neuromorphic computing through collaborations, papers, and talks, while operating under a hybrid work model across US sites including Hillsboro.

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 OO design, testing, debugging, documentation, version control, code reviews.

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 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 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.

Skills

Innovative problem-solving

Collaborative leadership

Adaptability

Communication excellence

Results-oriented

Intellectual curiosity

Education

PhD (or equivalent research experience) in Computational Neuroscience, CS, EE, or related field

Tools

Python

C/C++

Job description

Job Details

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.

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

Qualifications

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.

Job Type

Experienced Hire

Shift

Shift 1 (United States of America)

Primary Location

US, California, Santa Clara

Additional Locations

US, Arizona, Phoenix, US, California, Folsom, US, Oregon, Hillsboro, US, Texas, Austin

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: $170,500.00 - 315,490.00 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 our hiring process, please report this immediately to your recruiter.