Principal Computational Engineer (HPC)

Location: Memphis, Tennessee, United States

Salary: $114,400–$216,320 per year

Company

hirify.global conducts pediatric medical research and supports basic science and translational research through advanced computational capabilities.

What you will do

• Define long-term technical vision and strategy for research computing and information systems supporting scientific programs.
• Lead feasibility studies, estimates, design, implementation, and continuous improvement of computational applications and systems.
• Guide architecture, security, performance monitoring, software installation, configuration, testing, and data processing operations.
• Design and adopt scalable solutions across HPC, cloud computing, research software engineering, artificial intelligence and machine learning platforms, and advanced data management.
• Partner with researchers, data scientists, software engineers, institutional stakeholders, and regulatory entities to translate scientific needs into reliable computational capabilities.
• Mentor engineering team members and provide project management guidance for delivery within timelines, budgets, and design specifications.

Requirements

• Master's degree in computer science, data science, information science, mathematics, or a related field.
• At least 8 years of progressive experience developing, optimizing, or maintaining scientific or computational applications.
• Demonstrated delivery of complex projects, cross-disciplinary collaboration, project leadership, and team guidance.
• Recognized expertise in algorithms, pipelines, systems development, computational scalability, and reliability.
• Expertise in parallel programming and high-performance computing with OpenMP, MPI, and Pthreads.
• Strong UNIX/Linux scripting and high-level programming skills.

Nice to have

• PhD in a related field.
• Experience supporting research computing environments.
• Experience with bioinformatics, bioimage, genomics, computational biology, or related life science pipelines.
• Experience with HPC schedulers and platforms including Slurm, LSF, and Kubernetes.

Culture & Benefits

• Collaborative work with multidisciplinary research and technology teams.
• Emphasis on sustainable, secure, scalable, and quality-focused solutions.
• Formal training, mentoring, and cross-training opportunities for engineering staff.
• Performance is reviewed through spring and fall Check-Ins and an Annual Performance Review.
• Benefits are available as part of the employment package.