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Internship Computational Neuroscience Software Engineer Jobs in California

Astera

Staff Software Engineer

Emeryville, CA · On-site

$200K - $500K/yr

... to computational resources and complete freedom from funding pressures or profit motives. This ... We are integrating neuroscience, AI, and bioengineering to understand and digitally model the ...

Astera

Principal Software Engineer

Emeryville, CA · On-site

$300K - $600K/yr

... to computational resources and complete freedom from funding pressures or profit motives. This ... We are integrating neuroscience, AI, and bioengineering to understand and digitally model the ...

SwiftCruit

Principal Software Engineer

Emeryville, CA · On-site

$120 - $160/hr

... to computational resources and complete freedom from funding pressures or profit motives. This ... We are integrating neuroscience, AI, and bioengineering to understand and digitally model the ...

Clerkie

Software Engineer Internship

San Francisco, CA · On-site +1

$80/hr

A note before you apply We're hiring Software Engineering Interns! This is a full-time salaried 12 month internship where you'll work closely with our Engineering, Product, and Design teams to build ...

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Internship Computational Neuroscience Software Engineer information

What does an internship computational neuroscience software engineer do?

An Internship Computational Neuroscience Software Engineer assists researchers and engineers in developing software tools, simulations, and data analysis pipelines used in computational neuroscience. This role often involves writing code to model neural systems, process large datasets from experiments, and visualize results. Interns may work with programming languages like Python, MATLAB, or C++ and collaborate with interdisciplinary teams of neuroscientists, data scientists, and engineers. The position provides hands-on experience in both software engineering and neuroscience research, helping interns gain practical skills and insights into brain function.

What are the key skills and qualifications needed to thrive as an internship computational neuroscience software engineer?

To thrive as an Internship Computational Neuroscience Software Engineer, you need a solid background in computer science, programming (especially Python or MATLAB), and basic neuroscience concepts, usually evidenced by coursework or relevant research experience. Familiarity with neural simulation tools (like NEURON or Brian2), version control systems (such as Git), and data analysis libraries is typically required. Strong problem-solving, teamwork, and communication skills help you collaborate with interdisciplinary teams and present scientific results effectively. These competencies ensure you can contribute to innovative research, adapt to complex challenges, and support scientific discovery within computational neuroscience projects.

What types of projects or tasks can I expect as an internship computational neuroscience software engineer?

As an intern in computational neuroscience software engineering, you will likely work on projects involving data analysis, simulation of neural networks, or the development and optimization of research software. Your daily responsibilities may include writing and testing code, collaborating with neuroscientists and engineers, and analyzing large datasets from neural recordings. You will often be part of interdisciplinary teams, gaining exposure to both neuroscience research and software development best practices. These experiences provide valuable hands-on learning and can be a strong foundation for future roles in computational neuroscience or related fields.

What are the most commonly searched types of Computational Neuroscience Software Engineer jobs in California?

The most popular types of Computational Neuroscience Software Engineer jobs in California are:

What are popular job titles related to Internship Computational Neuroscience Software Engineer jobs in California?

For Internship Computational Neuroscience Software Engineer jobs in California, the most frequently searched job titles are:

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The top searched job categories for Internship Computational Neuroscience Software Engineer jobs in California are:

What cities in California are hiring for Internship Computational Neuroscience Software Engineer jobs?

Cities in California with the most Internship Computational Neuroscience Software Engineer job openings:

Internship Computational Neuroscience Software Engineer jobs near you
Infographic showing various Internship Computational Neuroscience Software Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Senior Software Engineer, Computational Engineering

Divergent

Torrance, CA • On-site, Remote

$127K - $168K/yr

Full-time

Re-posted 23 days ago

Job description

Purpose

We are looking for a Senior Software Engineer, Computational Engineering with a strong background in developing and maintaining complex engineering software aimed for manufacturing applications. You will be contributing to Divergent's proprietary software for advanced additive manufacture, including toolpath generation for large-format Laser Bed Powder Fusion (LBPF) printers and the integration of these solutions into the broader Divergent Adaptive Production System (DAPS). The position involves computational geometry algorithmic solutions, as well as integration with engineering and factory applications.

The Role
  • Design, implement, test and deploy algorithmic solutions for LBPF toolpath generation
  • Collaborate with cross-functional teams to gather requirements and propose new solutions to improve material quality and print productivity via software solutions
  • Integrate engineering software into the broader factory application infrastructure
  • Contribute to code reviews, and produce robust code solutions that can be used in a manufacturing production environment
  • Contribute to CI/CD workflows to containerize and automate deployments
Basic Qualifications
  • Ability to lawfully access information and technology that is subject to US export controls 
  • Bachelor's or master's in computer science (or related) +5years of professional softwareengineering experience.
  • Advanced proficiency in C++ for production codebases.
  • Strong mathematical background and an understanding of computational geometry.
  • Familiarity with Python.
  • Solid understanding of system design, scalability, and cloudnative architecture.
Preferred Qualifications
  • CI/CD pipeline design, experience with Docker and container technologies.
  • Familiarity with microservice infrastructures and tools, such as Temporal and GraphQL
  • Experience with C++11 (and newer), multithreading, OpenMP, TBB.
  • Experience with CAM/CAD tools.
  • Experience with developing robust software in manufacturing applications.
  • Experience with Qt.
Work Environment
  • Hybrid or Remote

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