
Job Overview
Location
Remote
Job Type
Full-time
Category
Software Engineering
Date Posted
April 21, 2026
Full Job Description
📋 Description
- • Junior Software Engineer – Scientific Computing (C++) role at Axle Information Technologies, Inc., a bioscience and IT company advancing translational research and biomedical informatics for healthcare organizations and NIH research centers.
- • Day-to-day responsibilities include developing and maintaining C++ software components for scientific workloads, integrating LLM-based tools (e.g., GitHub Copilot, GPT-4) into the development lifecycle, building LLM-assisted pipelines for automation, collaborating with senior engineers on AI-augmented solutions, contributing to testing and CI/CD workflows, and staying current with evolving LLM tooling.
- • Axle is a collaborative, cross-functional team focused on creating research tools that empower decision-making and accelerate discoveries, working with top institutions including multiple NIH institutes.
- • The role offers opportunity to grow expertise in AI-assisted software engineering, deepen C++ proficiency in performance-critical systems, learn scientific computing concepts through mentorship, and contribute to innovative LLM-integrated development practices while gaining ownership of technical components from day one.
Skills & Technologies
About Axle Information Technologies, Inc.
Axle Information Technologies, Inc. is a technology company specializing in data management and analytics solutions. They provide services and products designed to help organizations harness the power of their data for better decision-making and operational efficiency. Their offerings often include data warehousing, business intelligence, data integration, and advanced analytics capabilities. Axle aims to empower clients by transforming raw data into actionable insights, enabling them to optimize performance, identify trends, and achieve strategic goals. The company serves a diverse range of industries, offering tailored solutions to meet specific business needs and challenges in the ever-evolving data landscape.
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