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Computational Neuroscience Software Engineer Jobs

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 ...

New York University

Software Engineer

New York, NY · On-site

$100K - $250K/yr

... neuroscience and quantum computing. The selected candidates will work closely with a group of ... The hired engineer will have access to computational resources allowing training of large AI models.

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 ...

simons foundation

Flatiron Research Fellow

New York, NY · On-site

$91K/yr

... and software release, collaborate with other members of the CCN or Flatiron Institute, and ... PhD in computational neuroscience or a relevant technical field such as electrical engineering ...

Simons Foundation

Flatiron Research Fellow

New York, NY · On-site

$91K/yr

... and software release, collaborate with other members of the CCN or Flatiron Institute, and ... PhD in computational neuroscience or a relevant technical field such as electrical engineering ...

Cymertek Corporation

HPC Software Engineer

Reston, VA · On-site

Cymertek Corporation is seeking an innovative and driven HPC Software Engineer to develop and optimize software solutions for cutting-edge computational environments. The role involves designing ...

Cymertek

HPC Software Engineer

Annapolis Junction, MD · On-site

SIMILAR CAREER TITLES High-Performance Computing Engineer, Parallel Computing Engineer, Computational Scientist, HPC Systems Engineer, Software Optimization Engineer, Supercomputing Specialist ...

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All JobsComputational Neuroscience Software Engineer Jobs

Computational Neuroscience Software Engineer information

What are the typical daily responsibilities of a Computational Neuroscience Software Engineer?

A Computational Neuroscience Software Engineer typically spends their day developing and optimizing software tools for simulating neural circuits, analyzing large datasets, and collaborating closely with neuroscientists to support their research objectives. Regular tasks may include writing and testing code for neural models, troubleshooting computational issues, and maintaining or improving existing software pipelines. You’ll also participate in coding reviews, team meetings, and interdisciplinary discussions to ensure alignment between software capabilities and scientific goals. The role often involves both independent work and close collaboration with researchers, data scientists, and other engineers, creating a dynamic and intellectually stimulating environment.

What is a Computational Neuroscience Software Engineer job?

A Computational Neuroscience Software Engineer develops software tools, simulations, and models to analyze and interpret neural data. They work at the intersection of neuroscience, machine learning, and software engineering to advance our understanding of brain function. Responsibilities may include designing algorithms, optimizing data processing pipelines, and building neural network simulations. These engineers often collaborate with neuroscientists to translate biological insights into computational models. Strong programming skills, knowledge of neuroscience principles, and experience with scientific computing frameworks are typically required.

What are the key skills and qualifications needed to thrive in the Computational Neuroscience Software Engineer position, and why are they important?

To thrive as a Computational Neuroscience Software Engineer, you need a solid background in computer science, neural modeling, and applied mathematics, typically supported by a degree in a related field. Experience with programming languages such as Python, MATLAB, or C++, and familiarity with simulation frameworks or neuroinformatics platforms are highly desirable. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities help set you apart in this position. These skills enable you to efficiently develop, analyze, and refine computational models that advance neuroscience research and applications.

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Computational Neuroscience Software Engineer jobs near you
Infographic showing various Computational Neuroscience Software Engineer job openings in the United States as of July 2026, with employment types broken down into 2% Internship, 71% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution.
Software Engineer, Computational Photography

Software Engineer, Computational Photography

Rylo

San Francisco, CA

Full-time

Medical, Dental, Vision

Re-posted 29 days ago

Job description

Rylo is a powerful camera that captures everything around you and creates exceptionally smooth, beautiful video that's easy to share. Developed by a team of former Instagram and Apple engineers, Rylo's breakthrough stabilization software and smartphone app eliminate the traditional pain points of shooting, editing, and sharing videos. With Rylo, you don't have to worry about framing your shot or holding the camera steady to capture a video you're proud to share - simply hit record and make the perfect video after-the-fact.

See Rylo in action

In this role, you will work on core algorithms for the Rylo camera and future products to fundamentally improve the photography and cinematography experience. This covers both the improvements of the image quality and creating new computational photography features. You will develop end-to-end solutions, including algorithm design, implementation, quality evaluation, performance optimization to final deployment.

You will work closely with software engineers, hardware engineers, and designers to push the boundaries and capabilities of consumer cameras.
What you'll work on:
  • Design and implement novel computational photography algorithms.
  • Work closely with the hardware team to design new camera products.
  • Transfer technology to product groups and see your ideas shipped in product.
Who we're looking for:
  • Masters degree and 4 years of experience, or PhD in EE/CS.
  • Excellent knowledge of theory and practice of image processing, computer vision, computational photography.
  • You should be fluent in C / C++ programming and in a rapid prototyping environment such as MATLAB.
  • Parallel programming skills (e.g., CUDA, Halide, OpenCL, Metal) are a strong plus.
  • Strong communication skills required.
Why Rylo:
  • We're backed by Accel, Sequoia and Icon Ventures
  • You'll work with and learn from a highly cross-functional engineering team. Spanning software across the full stack: backend, frontend, iOS, Android, desktop, and embedded systems.
  • Just a year and a half after founding Rylo, we shipped our first camera on time and with a team of only 18. We love what we do and work hard to do it. 
  • Since launching in November 2017, we've expanded distribution to some of the top retailers, such as Amazon and Best Buy.
  • We value: ownership, a thoughtful approach to problem solving, transparency, candor, and a willingness to learn and teach.
  • You'll help us build the future of cameras so that anyone can easily capture, edit, and share their favorite memories with the world. 
Benefits and perks:
  • Your very own Rylo camera on your first day! 
  • Join our team lunches, happy hours, and off-sites
  • Meaningful equity
  • Flexible work schedule
  • Medical, dental, and vision insurance
  • Easy access to snacks and drinks
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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