Scientific Computing Specialist

Role Description

RCH Solutions is seeking an HPC Engineer to work closely with customer stakeholders, scientists, and IT professionals to deliver Compute at Scale and support our customer's scientific initiatives. The objectives for this role center on developing, evolving, and administering HPC platforms along with support for Scientific applications, workflows, and other related infrastructure both on-prem and Cloud hosted. Our ideal candidate also has hands-on experience with Linux system administration as well as solution architecting and engineering (on-prem and cloud-based) and will be instrumental in transforming how IT computing services are leveraged to support our client's growth. This role will involve driving architecture, roadmaps, and execution of projects to establish and operate IT infrastructure best practices for customers.

Responsibilities include:

• Full stack support - design and evolution of platforms
• Application administration
• Supporting customer workflows
• Profiling and performance tuning
• Monitoring and maintenance of scoped systems
• Platform and systems administration
• Troubleshooting hardware, software, and networking related issues
• Solution architecting and hands-on engineering (on-prem + Cloud)
• Documentation

Specific focuses and responsibilities include:

• Collaborating with cross-discipline team members and customers to deliver HPC and peripheral Compute at Scale services
• Thorough understanding of related industry best practices
• Supporting internal and customer Architecture and Design efforts
• Supporting customers with their workflow pipelines (advisory and hands-on)
• Comprehensively documenting new and existing computational assets
• Maintaining the flexibility to pivot as engagement scopes may evolve
• Support for AWS & GCP Cloud applications, migrations, and modernization
• CloudOps / IaC for ongoing platform management
• Setup and configuration of AWS & GCP Cloud infrastructure for new platform builds
• Ensuring system compliance with company security standards and applicable regulatory requirements
• Transition support for modernized services to operational teams
• Provide engineering level troubleshooting and services restoration for operational issues as they arise on supported platforms
• Provide training/mentorship for junior level team members
• Escalation point on multiple engagements to ensure resolution

Qualifications

• A bachelor’s degree or master’s degree in Computer Science or related field
• 5+ years of experience administering HPC clusters and systems
• Experience with SLURM and Grid Engine scheduling software preferred
• 5+ years of professional experience in Solution Architecture or Cloud Infrastructure Deployment and support
• 5+ years professional experience developing or administering compute solutions for Scientific / Research IT domains, Life Sciences being preferred
• Experience with POSIT products (Package Manager, Connect, Workbench) either in an end-user or administrator capacity
• Experience developing scientific workflows on HPC systems using Nextflow
• Extensive command-line system administration experience
• Advanced knowledge of Active Directory, DNS, DHCP, LDAP, NFS, SMB
• Building applications from source code, installing, maintaining, and troubleshooting application-level Linux and scientific software in line with industry best practices
• Installation of Linux operating system and fine-tuning
• Familiarity with leveraging and maintaining Linux package management systems
• Intermediate OS level networking knowledge
• Experience using scripting tools, automation tools, and configuration management tools
• Ansible, Terraform and Cloud Formation experience preferred
• Experience administering and integrating Scientific / Research applications
• Strong time-management skills; able to complete projects in a timely manner, plan and prioritize tasks while keeping leadership and stakeholders updated regularly on status
• Excellent communication skills, including preparation of written documentation for IT colleagues and end users
• Proactive thinking skills to identify potential issues and solution options prior to incidents occurring
• Extreme attention to detail is needed to interface with multiple clients simultaneously
• Ability to understand and analyze complex technical problems and situations
• Passionate engineer with a strong vision and a desire to stay on top of trends in the Scientific Computing sector
• Ability to work independently or with a team
• Ability to take a project from start to finish with minimal supervision

Preferred Qualifications

• Experience with Python, R, or other related data science programming languages
• Experience working with databases and/or supporting
• Experience managing large amounts of data effectively
• Experience working with AI/ML technologies
• Experience with containerizing compute workload via Docker or Singularity
• Experience with Nvidia DGX systems

Benefits

• A competitive salary and bonus package based on experience
• Comprehensive health and wellness benefits, including Medical, Dental, and Vision Insurance
• Company-provided Life and Long-Term Disability Insurance
• Company-sponsored 401(k) Plan
• Company-provided continuing education benefit
• Team-focused culture and unlimited opportunity for advancement
• This is a fully remote position and the candidate will be required to work on an East Coast (US) schedule
• Role is only open to applicants not needing sponsorship now or in the future, no third parties please