AI Scientific Software Engineer - Pipeline Pilot at Dassault Systèmes in San Diego, CA

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About this kind of role

What a AI Scientific Software Engineer - Pipeline Pilot usually does. The employer's own details are in the listing.

Typically does: Develops and maintains software solutions, often focused on automating scientific workflows and data processing. Designs, tests, and debugs code to integrate various scientific instruments and data formats. Collaborates with scientists and engineers to understand requirements and translate them into functional software. Optimizes existing pipelines for performance and scalability, ensuring data integrity and reliability.

Tools and skills: Proficiency in programming languages like Python, Java, or C++, experience with scripting, and familiarity with software development methodologies, version control systems (e.g., Git), and potentially cloud computing platforms.

Good fit for: Individuals with a strong background in computer science or a related field, combined with an interest in scientific applications and a problem-solving mindset.

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