
Axle Informatics is a bioscience and technology company that accelerates discovery and enhances organizational outcomes through innovative research, technology, and healthcare solutions. They provide comprehensive services including research management, biomedical research, data science, artificial intelligence, machine learning, cloud computing, and cybersecurity. Axle's flagship product includes a custom cloud-based authentication and identity brokering system (UNA) that enables secure, scalable, and seamless collaboration across research institutions, supporting over 400,000 successful logins in 2023. Their business model focuses on delivering tailored technology and research services to government agencies, healthcare organizations, and research institutions, driving progress in public health and beyond.

Axle Informatics is a bioscience and technology company that accelerates discovery and enhances organizational outcomes through innovative research, technology, and healthcare solutions. They provide comprehensive services including research management, biomedical research, data science, artificial intelligence, machine learning, cloud computing, and cybersecurity. Axle's flagship product includes a custom cloud-based authentication and identity brokering system (UNA) that enables secure, scalable, and seamless collaboration across research institutions, supporting over 400,000 successful logins in 2023. Their business model focuses on delivering tailored technology and research services to government agencies, healthcare organizations, and research institutions, driving progress in public health and beyond.
What they do: Provides bioscience, research, and research-centric IT services (AI/ML, data science, cloud, cybersecurity) and authentication solutions
Notable product: UNA (Unified NCATS Auth) — cloud-based federation/identity service with 400,000+ logins (2023)
Headquarters: Rockville, Maryland
Founded: 2002
Founders / leadership: Vidya Chari (Co‑founder, CEO); Suhas Sharma named as co‑founder in company materials
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Research data management, secure collaboration, identity/authentication for research ecosystems, and applied biomedical data science.
2002
Biotechnology Research
(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:
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
Required Skills & Qualifications
Preferred Qualifications
What We Emphasize
Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.
The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.
Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.
#IND
Salary Range: $80,000 USD - $120,000 USD
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.
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.
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.