[Hiring] HPC Engineer @Tufts University

Role Description

The High Performance Computing Engineer is responsible for designing, developing, and deploying high-performance computing systems and applications. This role provides technical guidance in the installation, configuration, and maintenance of HPC systems and tools. This HPC Engineer position will be focused on building and deploying the new services and infrastructure needed to support a secure and compliant research computing environment as part of the Privacy Program and Secure Research Computing Development Project. This is a two-year limited-term appointment with possibility of extension.

HPC Systems Engineering:

• Build and deploy the new secure, compliant services within the research computing ecosystem as identified as part of the Privacy Program and Secure Research Computing Development Project.
• Integrate these new user-facing services into our existing HPC web gateways such as Open OnDemand, Jupyter Notebooks, and RStudio.
• Install, maintain, and test open source and commercial software as needed for the new services being built in this project.
• Utilize configuration management, infrastructure as code, and security best practices for all project work.
• Document all work and provide regular progress updates.
• Work closely with other RT and TTS technical staff to ensure new services are part of a cohesive plan, including network, storage administration, virtualization layer, and firewall issues.
• Respond to outage, emergency, or urgent issues as needed.

HPC Systems Innovation and Consultation:

• Provide system administration services and consult with other team members to evaluate Proof of Concept (POC) systems to foster innovative architectures and solutions in the selection of the new software and hardware components needed for this project.

Service Management, Education, Outreach:

• Maintain ties with the larger system administration and research computing community to better understand the paradigms, methods, and opportunities others are using to solve the problems identified in this project.

Qualifications

• Bachelor's Degree in a relevant field or High School Diploma plus 8 or more years related experience in a higher education, research, scientific, or technical computing environment.
• Understanding of and experience with high performance computing and scientific gateways from both an architecture, subsystems, and networking perspective.
• Demonstrated experience maintaining technologies used in research and high-performance computing such as job schedulers (Slurm), Containers (singularity, docker), RDMA over ethernet, Infiniband, GPUDirect, etc.
• Extensive experience with scripting (e.g., Shell, Batch, Perl, Python, etc.).
• Broad experience installing, maintaining open source or commercial research computing web gateway solutions such as OpenOnDemand.
• Strong experience installing, configuring, maintaining, troubleshooting common frameworks and software used in research and high-performance computing.
• Proficiency with modern system administration devops and design patterns to automate Linux HPC clusters.
• Willing and able to learn technologies and required domain knowledge at a rapid pace.
• Background supporting academic researchers (e.g., faculty, staff, students, etc.).
• Strong communication, presentation, customer service, and problem-solving skills.
• Demonstrated ability to work effectively in a dynamic, collaborative environment.
• Dedication to taking ownership of projects that include identifying problems, developing testing protocols, and implementing solutions.

Requirements

• Master's Degree in a science or engineering field plus 2 or more years related experience in a higher education, research, scientific, or technical computing environment (preferred).
• Familiarity and experience with resources at private or public sector HPC research computing environments or national centers (preferred).
• Familiarity and experience with running HPC workloads in cloud computing environments (preferred).
• Experience deploying or working with NIST 800-171 or CMMC compliant research computing environments (preferred).
• Knowledge of the continuum of research computing and scalability from desktop to HPC, cloud, and national centers (preferred).

Benefits

• Salary range: Minimum $89,100.00, Midpoint $111,500.00, Maximum $133,800.00.
• Salary is based on related experience, expertise, and internal equity; generally, new hires can expect pay between the minimum and midpoint of the range.