Senior HPC Cloud Engineer

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Accenture Federal Services is seeking a Senior Cloud Engineer / HPC specialist to join our team and support our client at Hill AFB in Utah. This senior individual-contributor role owns the design and operation of high-performance compute infrastructure for mission workloads, from cluster architecture through GPU-accelerated job scheduling. You will independently make cluster sizing and architecture decisions, mentor engineers, and partner with data platform and AI/ML teams to ensure infrastructure meets mission demand.

• HPC clusters are right-sized and cost-efficient, scaling compute and GPU resources to workload demand
• Job scheduling (Slurm, PBS, AWS Batch/Parallel Cluster) is reliable and self-service, minimizing manual intervention
• GPU-accelerated workloads run efficiently, with proactive CUDA/cuDNN tuning and resource allocation
• Data pipeline teams (Kafka, Airflow, Spark, EMR) have a stable, well-documented compute foundation
• Security and accreditation requirements for classified HPC workloads are met without impeding mission delivery

• Design, size, tune, and operate HPC clusters for compute-intensive workloads
• Own HPC job scheduling infrastructure (Slurm, PBS, or equivalent)
• Architect/manage AWS Parallel Cluster and/or AWS Batch for cloud-based HPC provisioning
• Design for parallel computing paradigms (MPI, shared-memory, distributed task orchestration)
• Configure industry GPU hardware/software for accelerated workloads
• Tune CUDA, cuDNN, and GPU libraries for scientific computing/data processing
• Optimize scheduling/resource allocation across CPU/GPU node pools
• Integrate HPC compute with data pipelines (Kafka, Airflow, Spark) and AWS data services (EMR, Redshift, Glue)
• Ensure HPC infrastructure meets security controls/accreditation for classified environments
• Mentor engineers building HPC/GPU-compute familiarity
• Document cluster architecture decisions, runbooks, and operational procedures

• 5 years' cloud engineering/infrastructure experience, including 2 years focused on HPC cluster design/operations
• Experience with HPC job scheduling systems (Slurm, PBS, or equivalent)
• Proficiency with AWS Parallel Cluster and/or AWS Batch for cloud-based HPC provisioning
• Understanding of parallel computing paradigms (e.g.: MPI, shared-memory, distributed task orchestration)
• Working knowledge of Dev Ops practices (e.g.: CI/CD, infrastructure-as-code, Git Ops)
• Scripting proficiency in Python, Bash, or Power Shell

• Bachelor’s in Computer Science, Computational Science, Engineering, or related field (certifications considered in lieu)
• Hands-on experience with industry GPU hardware/software ecosystems
• Familiarity with CUDA, cuDNN, and GPU-accelerated libraries
• Experience designing/operating data pipelines (Kafka, Airflow, Spark)
• Familiarity with AWS data services (EMR, Redshift, Glue)
• AWS certifications (Solutions Architect or Advanced Networking)

• Must have an active…