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Intern - Cognitive & Emerging Computing - R&D Graduate Year Round

🚀 Off-cycle Internship


AI generated summary

  • You must have a bachelor’s degree, be enrolled in a science, engineering, or math graduate program, have a GPA of at least 3.0, work up to 30 hours per week during the academic year, be a U.S. citizen or legal resident, and have experience in Bayesian network models, neural networks, programming languages, neuroscience, and machine learning.
  • You will develop brain-inspired algorithms, map them onto neuromorphic hardware, collaborate with researchers, and publish research findings in high-quality journals.

Off-cycle Internship

Research & Development, Software EngineeringAlbuquerque


  • We are seeking a Intern Year Round - R&D Grad


  • Qualifications We Require:
  • You bring the confidence and skills to be eligible for the job by meeting these minimum requirements:
  • Earned bachelor's degree
  • Currently attending and enrolled full time in an accredited science, engineering, or math graduate program
  • Minimum cumulative GPA of 3.0/4.0
  • Ability to work up to 30 hours per week during the academic year, and up to 40 hours per week during the summer
  • U.S. citizens, legal permanent residents, asylees or refugees in the U.S.
  • Qualifications We Desire:
  • Publications or significant research experience in Bayesian network models, neural networks, brain and neural circuit modeling, or computational models of human perception.
  • Proficiency in one or more programming languages: C, C++, Python, Julia, Java, or Matlab.
  • Research experience in neuroscience, particularly vision or perception.
  • Experience with implementing autonomous systems, machine learning, deep learning, or reinforcement learning.
  • Good oral and communication skills.

Education requirements

Currently Studying

Area of Responsibilities

Research & Development
Software Engineering


  • Draw inspiration from neuroscience to develop algorithms to solve real-world problems.
  • Develop techniques for mapping novel brain-inspired and machine learning algorithms onto existing and emerging neuromorphic hardware. This includes analyzing, benchmarking, and modeling neuromorphic architectures.
  • Be motivated and enthusiastic individuals with excellent communication skills and who have the desire to gain research experience in a highly collaborative research environment.
  • Be exposed to a wide range of computational research at Sandia and will have a strong project-based research experience working directly with Sandia staff scientists.
  • Work with computer scientists, mathematicians, and engineers to abstract neural computations such as dendritic computation, short-term plasticity, and microcircuit computations for incorporation into artificial intelligence algorithms and man-made computing systems.
  • Develop neurobiological models at differing levels of biological complexity, including neural circuit models constrained by current understanding of sensory processing in biological nervous systems.
  • Publish research results in high-quality journals and professional conference venues.


Work type

Full time

Work mode