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Neuromorphic Computing Jobs in Virginia (NOW HIRING)

... neuromorphic and quantum computing with the ability to advise on national-level intelligence and strategic issues. Our unique team of technical and business disciplines provide operational support ...

Microelectronics SME

Mclean, VA · On-site

$146K - $234K/yr

... neuromorphic and quantum computing with the ability to advise on national-level intelligence and strategic issues. Our unique team of technical and business disciplines provide operational support ...

... neuromorphic and quantum computing with the ability to advise on national-level intelligence and strategic issues. Our unique team of technical and business disciplines provide operational support ...

Neuromorphic Computing information

See Virginia salary details

$40.2K

$97.7K

$162.6K

How much do neuromorphic computing jobs pay per year?

As of Jun 4, 2026, the average yearly pay for neuromorphic computing in Virginia is $97,683.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,300.00 and $110,500.00 per year, depending on experience, location, and employer.

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.

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 are the most commonly searched types of Neuromorphic Computing jobs in Virginia? The most popular types of Neuromorphic Computing jobs in Virginia are:
What are popular job titles related to Neuromorphic Computing jobs in Virginia? For Neuromorphic Computing jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Neuromorphic Computing jobs in Virginia look for? The top searched job categories for Neuromorphic Computing jobs in Virginia are:
Infographic showing various Neuromorphic Computing job openings in Virginia as of May 2026, with employment types broken down into 100% Full Time. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $97,683 per year, or $47 per hour.

Post-Doctoral Researcher - Silicon Photonics for Computing Applications

USC Gould School of Law

Arlington, VA • Hybrid

$80K - $90K/yr

Full-time

Posted 9 days ago


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.

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