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Intern Computational Neuroscience Software Engineer Jobs

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 ...

... 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 ...

New

As a software engineering intern, you will work alongside our small team of engineers to create new features and provide a world-class user experience for our customers. Responsibilities

Software Engineering Intern

Menlo Park, CA · On-site

$6.0K - $10K/mo

As an intern, you'll work alongside experienced engineers, clinicians, and computational biologists ... Create new software services that are AI driven such as insurance card scanning or lab monitoring ...

... 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 ...

New

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing ... computational focus), or related field * Preference for students who have completed 3+ years of ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing ... computational focus), or related field * Preference for students who have completed 3+ years of ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing ... computational focus), or related field * Preference for students who have completed 3+ years of ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing ... computational focus), or related field * Preference for students who have completed 3+ years of ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing ... computational focus), or related field * Preference for students who have completed 3+ years of ...

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Intern Computational Neuroscience Software Engineer information

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How much do intern computational neuroscience software engineer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for intern computational neuroscience software engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Intern Computational Neuroscience Software Engineer vs Intern Data Scientist?

AspectIntern Computational Neuroscience Software EngineerIntern Data Scientist
Required CredentialsRelevant coursework in neuroscience, programming, and data analysis; often pursuing a degree in neuroscience, computer science, or related fieldsDegree in data science, statistics, computer science, or related fields; strong programming and analytical skills
Work EnvironmentResearch labs, tech companies, or academic institutions focusing on brain research and AI applicationsTech companies, research firms, or healthcare organizations analyzing large datasets
Employer & Industry UsageUsed in neuroscience research, AI development, and neurotechnology industriesCommon in tech, finance, healthcare, and marketing sectors

While both roles involve programming and data analysis, Intern Computational Neuroscience Software Engineers focus on understanding brain functions and developing neuro-inspired algorithms, whereas Intern Data Scientists analyze diverse datasets to extract insights across various industries.

What cities are hiring for Intern Computational Neuroscience Software Engineer jobs? Cities with the most Intern Computational Neuroscience Software Engineer job openings:
What are the most commonly searched types of Computational Neuroscience Software Engineer jobs? The most popular types of Computational Neuroscience Software Engineer jobs are:
What states have the most Intern Computational Neuroscience Software Engineer jobs? States with the most job openings for Intern Computational Neuroscience Software Engineer jobs include:
Senior Software Engineer I, Computational Geometry & BIM

Senior Software Engineer I, Computational Geometry & BIM

ICON

Austin, TX

$121K - $160K/yr

Other

Re-posted 2 days ago


Job description

ICON is looking for an experienced, open-minded, structured thinker who loves to solve complex problems and appreciates the value of prototyping and iterating applications over time. As a Senior Software Engineer II focusing on Computational Geometry & BIM at ICON, you will be responsible for developing and architecting the pre-print, computational geometry software platform for ICON's construction printing systems. This role is based on site at our Austin, TX HQ Campus and will report to our Director of Software Engineering.

RESPONSIBILITIES:

  • Lead the design and implementation of new features and products to support our BuildOS design platform
  • Architect and develop cutting-edge geometric algorithms that unlock the potential of ICON 3D printing technology
  • Build and maintain internal tools to help visualize, instrument and debug the 3D printing process
  • Partner with Architects, Structural Engineers and Building Scientists to convert architectural plans to highly efficient and structurally sound path-planning algorithms
  • Work closely with R&D engineers to perfect print quality across ICON's lineup of devices and materials
  • Create robust software integrations with 3rd party CAD and CAM software
  • Design and develop BIM automation tooling to streamline architectural workflows and extract design intelligence from building models
  • Lead exploration and prototyping of AI-driven design approaches for generative design, design optimization, and intelligent automation of construction planning
  • Build systems that bridge architectural intent with manufacturing constraints through computational design
  • Drive technical standards and best practices for computational geometry systems


MINIMUM QUALIFICATIONS:

  • 8+ years of professional experience as a software engineer with demonstrated technical leadership
  • BS in Computer Science or equivalent experience
  • Proven ability to work closely with a wide variety of stakeholders to rapidly analyze and reduce large requirements into small deliverables
  • Strong experience building platforms, micro-services, and APIs at scale
  • Track record of architecting complex systems and making sound technical decisions
  • A willingness to accept failure, learn and try again, and an open mind to try solutions that may seem impossible at first
  • Excellent ability to communicate clearly and succinctly both in-person and via written asynchronous channels
  • Experience mentoring other engineers and contributing to team growth

PREFERRED SKILLS AND EXPERIENCE:

  • Advanced degree in Computer Science
  • A passion for learning new disciplines and gaining a deep understanding of how other professionals do their work
  • Strong Node.js and TypeScript experience, with a functional programming approach
  • Deep mathematical background in geometry, linear algebra, numerical analysis and advanced 3D mathematics
  • Strong intuition for physical systems and principles of stability
  • Extensive experience with tools and services that leverage three-dimensional trigonometry to calculate and analyze shapes and tool paths
  • Hands-on experience with BIM platforms (Revit, Rhino, Grasshopper) and their APIs for automation
  • Familiarity with AI/ML frameworks and applications in design, generative modeling, or optimization problems
  • Experience in computational design, algorithmic architecture, or design automation
  • React, Redux, and RxJs experience
  • Proven experience interfacing with CAD and CAM software APIs
  • Experience with parametric modeling frameworks and computational design tools
  • Strong interest in the principles of parametric architecture
  • PostgreSQL, GraphQL experience
  • Modern CI/CD workflows: GitHub, Jenkins, Travis, etc.
  • Experience with geometric kernel libraries (CGAL, Open CASCADE, etc.)