Junior Software Engineer – Scientific Computing (C++) at Axle · Remote

Summary: Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications. They are seeking a Junior Software Engineer with a strong foundation in C++ and scientific computing to help build and optimize high-performance software systems used in compute-intensive research environments. Responsibilities: - Design, develop, and maintain high‑performance C++ software for scientific and computational workloads - Build scalable applications using modern C++ (17/20) with an emphasis on correctness, performance, and maintainability - Develop and extend scientific computing pipelines running in Linux and HPC environments - Optimize compute‑intensive code using profiling, benchmarking, and performance‑tuning techniques - Collaborate with senior engineers and researchers to translate computational requirements into robust software solutions - Work with containerized applications (Docker, Singularity) deployed in HPC and cloud environments - Integrate applications with HPC schedulers (e.g., Slurm) for batch and interactive workloads - Contribute to documentation, testing, and CI/CD workflows to support reliable software delivery Required Qualifications: - 1–3 years of professional experience (or equivalent academic/research experience) in software development - Proficiency in C++ for scientific or performance‑critical applications - Working knowledge of Linux development environments - Familiarity with modern build systems (e.g., CMake, Bazel) - Experience or coursework in scientific computing, numerical methods, or systems programming - Basic experience with Python for scripting, tooling, or analysis - Strong problem‑solving skills and a desire to learn complex technical systems Preferred Qualifications: - Exposure to parallel or high‑performance computing concepts (e.g., multithreading, vectorization, MPI, OpenMP) - Experience with GPU computing (CUDA, etc.) - Experience running software on HPC clusters or similar shared compute environments - Familiarity with container technologies (Docker, Singularity) - Experience with profiling or performance‑analysis tools - Interest in applied scientific or research‑driven software development Required Skills: C++, Scientific computing, Linux Important Skills: Modern build systems, High-performance computing, Container technologies Nice-to-Have Skills: Python Benefits: 100% Medical, Dental & Vision Coverage for Employees, Paid Time Off and Paid Holidays, 401K match up to 5%, Educational Benefits for Career Growth, Employee Referral Bonus, Flexible Spending Accounts: Healthcare (FSA), Parking Reimbursement Account (PRK), Dependent Care Assistant Program (DCAP), Transportation Reimbursement Account (TRN)