Junior Software Engineer – Scientific Computing (C++)

(ID: 2026-1584)

Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH)

 

Benefits We Offer:

• 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)

 

Axle is 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. This role focuses on core software engineering and performance‑oriented C++ development within Linux and HPC settings. 

 

You will work as part of a collaborative, cross‑functional team developing scalable, well‑engineered systems for numerical and data‑intensive workloads. While some projects involve image‑based data, prior image processing experience is not required—you will learn these domain‑specific aspects on the job with support from senior engineers and domain experts. 

 

Key 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 Skills & 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