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Remote Computational Neuroscience Software Engineer Jobs in California

Jitx Inc.

Senior Software Engineer

Berkeley, CA · On-site +1

$150K - $250K/yr

You'll work on hard computational problems, from design automation algorithms to real-time ... Architected to support headless and remote. We may use artificial intelligence (AI) tools to ...

Jitx Inc.

Senior Software Engineer

Berkeley, CA · On-site +1

$150K - $250K/yr

You'll work on hard computational problems, from design automation algorithms to real-time ... Architected to support headless and remote. $150,000 - $250,000 a year We may use artificial ...

Everglade Works

Software Engineer

San Francisco, CA · Remote

$60 - $80/hr

Remote Software Engineer (USA Only) | $60 - $80 per hour Are you a software engineer who thrives in remote environments, enjoys solving complex problems, and wants to work on cutting-edge technology?

Onebridge

Computational Biology MLOps Engineer

San Diego, CA · On-site +1

$118K - $139K/yr

Computational Biology MLOps Engineer | About You As a Computational Biology MLOps Engineer, you are ... You bring strong software, DevOps, and data engineering fundamentals with hands on experience ...

YO AI Labs

Senior Software Engineer - Remote

Los Angeles, CA · Remote

$132K - $174K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn ...

Fuku

Software Engineer

San Francisco, CA · On-site +1

B achelor's degree in Computer Science, Software Engineering, or a related field. * P roven ... F lexible working hours and remote work options. * G enerous paid time off and holiday leave. * A ...

NextDeavor Inc.

Mid Level Software Engineer

Irvine, CA · Remote

$100K - $115K/yr

Mid Level Software Engineer Full-time Remote Exclusive confidential search -- details shared with qualified applicants. Become a Key Player as a Mid Level Software Engineer You will contribute to ...

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

Masters in computational neuroscience, systems neuroscience, bioengineering, bioinformatics ... Strong Python programming skills; ability to demonstrate mastery through work experience or ...

Bluon

Collaborate with our local and remote developer team * Help document our app * Perform routine software maintenance Skills Knowledge and Expertise * Strong skills in React.js or similar modern ...

DocuSign

Software Engineer

San Francisco, CA · On-site +1

Employee divides their time between in-office and remote work. Access to an office location is ... software engineering experience building production services or applications using OO languages ...

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All JobsComputational Neuroscience Software Engineer JobsRemote Computational Neuroscience Software Engineer JobsRemote Computational Neuroscience Software Engineer Jobs in California

Remote Computational Neuroscience Software Engineer information

What is the difference between Remote Computational Neuroscience Software Engineer vs Remote Machine Learning Engineer?

AspectRemote Computational Neuroscience Software Engineer
Required CredentialsDegree in neuroscience, computer science, or related fields; programming skills in Python, MATLAB
Work EnvironmentResearch labs, academic institutions, biotech companies, often collaborative and research-focused
Industry UsageNeuroscience research, cognitive science, biotech, pharmaceutical industries

While both roles involve programming and data analysis, a Remote Computational Neuroscience Software Engineer specializes in modeling brain functions and neural data, often within research or academic settings. In contrast, a Remote Machine Learning Engineer focuses on developing algorithms for various applications across industries like tech, finance, or healthcare. The key difference lies in domain expertise and application focus, though both roles require strong programming skills and data analysis experience.

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Senior Software Engineer, Computational Engineering

Divergent

Torrance, CA • On-site, Remote

$127K - $168K/yr

Full-time

Re-posted 7 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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