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Neuromorphic Computing Research Jobs in Washington, DC

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How much do neuromorphic computing research jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for neuromorphic computing research in Washington, DC is $25.17, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $26.97 per hour, depending on experience, location, and employer.

What is neuromorphic computing research?

Neuromorphic computing research is the study and development of computer systems inspired by the structure and function of the human brain. Researchers in this field design hardware and software that mimic neural architectures, aiming to achieve greater efficiency and adaptability than traditional computing methods. This research often involves creating artificial neurons and synapses using novel materials and architectures to enable advanced tasks like pattern recognition and real-time learning. The ultimate goal is to create energy-efficient, intelligent computing systems for applications ranging from robotics to AI and sensory processing.

What are some common challenges faced by professionals working in neuromorphic computing research?

Professionals in neuromorphic computing research often encounter challenges related to the interdisciplinary nature of the field, requiring deep knowledge of neuroscience, computer engineering, and machine learning. Developing hardware that effectively mimics neural architectures can be complex due to limitations in current fabrication technologies and the need for novel algorithms. Additionally, researchers must frequently collaborate with teams from diverse backgrounds, which necessitates strong communication and adaptability. Securing funding and staying updated with rapid advancements in both neuroscience and AI are also ongoing challenges in this dynamic research area.

What are the key skills and qualifications needed to thrive in neuromorphic computing research?

To thrive in Neuromorphic Computing Research, a strong background in computer science, electrical engineering, neuroscience, and mathematics—often at the graduate level—is essential. Familiarity with programming languages (such as Python or C++), neural network frameworks, hardware description languages, and simulation tools like SpiNNaker or NEST, as well as published research experience, is typically required. Critical thinking, creativity, interdisciplinary collaboration, and effective communication set outstanding researchers apart in this evolving field. These skills and qualities are crucial for driving innovation and bridging the gap between biological intelligence and artificial computing systems.
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Infographic showing various Neuromorphic Computing Research job openings in Washington, DC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 25% In-person, 50% Hybrid, and 25% Remote job distribution, with an average salary of $52,350 per year, or $25.2 per hour.

Post-Doctoral Researcher - Silicon Photonics for Computing Applications

University of Southern California

Arlington, VA • Hybrid

$80K - $90K/yr

Full-time

Re-posted 16 days ago


University Of Southern California rating

8.4

Company rating: 8.4 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

98th of 617 rated colleges and universities


Job description

The Application Specific Intelligent Computing (ASIC) Lab at USC's Information Sciences Institute (USC's ISI) invites applications for a post-doctoral position in Silicon Photonics, with a focus on advanced computing applications.

The selected candidate will contribute to the design, prototyping, and testing of photonic devices and circuits aimed at enabling next-generation computing architectures, such as optical in-memory computing. The role involves close collaboration with leading fabrication partners (e.g., GlobalFoundries, AIM Photonics), participation in multi-project wafer (MPW) tapeouts, and system-level experimental validation of fabricated prototypes. A strong drive for innovation is essential, as the work will push the boundaries of current photonic technologies and computing models.

**This is a one year appointment, with possibility of extension based on project funding and performance.**

**This position is located in our Arlington, Virginia Office. Hybrid work option available.**

Responsibilities

  • Lead photonic integrated circuit (PIC) design and simulation using commercial tools.
  • Contribute to novel photonic computing architectures including optical in-memory and neuromorphic computing.
  • Coordinate tapeout and fabrication of silicon photonic devices with commercial foundries.
  • Characterize fabricated devices using optical and electrical test setups.
  • Collaborate with interdisciplinary teams and external partners for end-to-end prototyping and validation.
  • Contribute to publications, technical reports, and intellectual property development.

Qualifications

  • Ph.D. in Electrical Engineering, Physics, Photonics, or a closely related field.
  • Strong background in Integrated Phonics, including demonstrated experience in PIC design, layout, and tapeout in commercial foundries.
  • Proficiency with photonic design and simulation tools (e.g., Lumerical, IPKISS, Ansys, KLayout).
  • Hands-on experience in device fabrication, testing, and characterization (e.g., using probe stations, tunable lasers, optical spectrum analyzers).
  • Familiarity with materials such as Si, SiN, AlN, BaTiO, or 2D materials is a plus.
  • Strong publication record and excellent communication skills.
  • Ability to work independently and collaboratively in a multidisciplinary research environment.

Preferred Experience

  • Experience with MPW runs (e.g., AIM Photonics, GF Fotonix).
  • Exposure to optical in-memory compute or optical AI accelerators.
  • Familiarity with advanced packaging methods for photonics.
  • Previous collaboration with industry or transition of research to commercial applications.

Why Join Us

This position offers the opportunity to contribute to cutting-edge research in photonics-enabled hardware acceleration for AI and advanced computing. You will work alongside a dynamic team at the forefront of next-generation system design, engaging in real-world prototyping with direct impact on future computing platforms.

The role provides hands-on collaboration with top-tier fabrication partners and national research consortia, access to advanced prototyping infrastructure, and the chance to shape the direction of innovative silicon photonics technologies. It is an ideal opportunity for those passionate about bridging fundamental research with practical, scalable solutions.

The annual base salary range for this position is $80,000 - $90,000. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.

Minimum Education: Ph.D. or equivalent doctorate within previous three years
Minimum Experience: 0-1 year
Minimum Field of Expertise: Directly related education in research specialization with advanced knowledge of equipment, procedures and analysis methods.

USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to theBackground Screening Policy Appendix Dfor specific employment screen implications for the position for which you are applying.

We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email atuschr@usc.edu. Inquiries will be treated as confidential to the extent permitted by law.

  • Notice of Non-discrimination
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If you are a current USC employee, please apply to this  USC job posting in Workday by copying and pasting this link into your browser:

https://wd5.myworkday.com/usc/d/inst/1$9925/9925$141536.htmld

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About University of Southern California

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The University of Southern California (USC) is not a conventional company, but a private research university established in the heart of Los Angeles, CA, US. Founded in 1880, it's one of the oldest private research universities in California. USC operates in the education industry providing primary services of higher education, research, and community development. This prestigious institution offers a comprehensive array of undergraduate, graduate, and professional programs across various disciplines, including the humanities, social sciences, and STEM (Science, Technology, Engineering, and Mathematics). The University is guided by its commitment to foster creativity, innovation, leadership, and discovery through academic excellence.

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