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Internship Neuromorphic Engineering Jobs (NOW HIRING)

Collaborate with hardware and software engineering teams to translate algorithmic requirements into ... internship experiences and or schoolwork/classes/research. Minimum Qualifications: - PhD (or ...

Collaborate with hardware and software engineering teams to translate algorithmic requirements into ... internship experiences and or schoolwork/classes/research. Minimum Qualifications: - PhD (or ...

Collaborate with hardware and software engineering teams to translate algorithmic requirements into ... internship experiences and or schoolwork/classes/research. Minimum Qualifications: - PhD (or ...

Collaborate with hardware and software engineering teams to translate algorithmic requirements into ... internship experiences and or schoolwork/classes/research. Minimum Qualifications: - PhD (or ...

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Internship Neuromorphic Engineering information

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How much do internship neuromorphic engineering jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for internship neuromorphic engineering in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Neuromorphic Engineering, and why are they important?

To thrive as an intern in Neuromorphic Engineering, you typically need a strong background in electrical engineering, computer science, or neuroscience, often demonstrated through coursework or research experience. Familiarity with programming languages such as Python or C++, hardware description languages (e.g., VHDL/Verilog), and tools like MATLAB or simulation platforms is highly beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns contribute to multidisciplinary teams and innovative projects. These skills and qualifications are crucial for effectively researching, developing, and testing neuromorphic systems in a rapidly evolving field.

What types of projects can I expect to work on during a Neuromorphic Engineering internship?

As a Neuromorphic Engineering intern, you can expect to work on projects involving the design, simulation, and testing of hardware or software systems inspired by the structure and function of the brain. Typical tasks may include developing neural network models, experimenting with novel sensor integration, or assisting in the fabrication and characterization of neuromorphic chips. You’ll likely collaborate closely with multidisciplinary teams, including neuroscientists, hardware engineers, and software developers, gaining hands-on experience with cutting-edge technology. These projects will not only strengthen your technical skills but also provide valuable exposure to real-world research and development processes in this rapidly evolving field.

What is an internship in neuromorphic engineering?

An internship in neuromorphic engineering is a temporary position, typically for students or recent graduates, that provides hands-on experience in designing and developing computer systems inspired by the structure and function of the human brain. Interns in this field often work on projects involving hardware and software for artificial neural networks, brain-inspired computing, and energy-efficient machine learning systems. These internships may involve research, circuit design, algorithm development, or testing new neuromorphic devices, offering valuable exposure to cutting-edge technologies and interdisciplinary collaboration.

What is the difference between Internship Neuromorphic Engineering vs Internship Robotics Engineering?

AspectInternship Neuromorphic EngineeringInternship Robotics Engineering
Required CredentialsRelevant coursework in neuromorphic systems, electrical engineering, or computer scienceBackground in mechanical/electrical engineering, computer science, or robotics
Work EnvironmentResearch labs, tech companies focusing on AI hardware, academiaManufacturing facilities, research labs, tech companies developing robots
Industry UsageAI hardware, neuromorphic chips, cognitive computingAutomation, manufacturing, service robots, autonomous vehicles

Internship Neuromorphic Engineering focuses on developing brain-inspired hardware and algorithms, while Internship Robotics Engineering emphasizes designing and building robotic systems. Both internships involve engineering principles but target different applications within technology and AI fields.

More about Internship Neuromorphic Engineering jobs
What cities are hiring for Internship Neuromorphic Engineering jobs? Cities with the most Internship Neuromorphic Engineering job openings:
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 Internship Neuromorphic Engineering jobs? States with the most job openings for Internship Neuromorphic Engineering jobs include:
Infographic showing various Internship Neuromorphic Engineering job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 44% Full Time, 34% Part Time, 2% Temporary, and 18% Contract. Highlights an 93% Physical, 5% Hybrid, and 2% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
Neuromorphic/AI Research Scientist

Neuromorphic/AI Research Scientist

Intel

Hillsboro, OR • On-site

Full-time

Medical, Retirement, PTO

Posted 7 days ago


Intel rating

8.8

Company rating: 8.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

9th of 139 rated electronics manufacturers


Job description

Job Details: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.
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, California, Santa ClaraAdditional Locations:US, Arizona, Phoenix, US, California, Folsom, US, Oregon, Hillsboro, 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: $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.

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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