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.

Success in This Role Means:

HPC clusters are right-sized and cost-efficient, scaling compute and GPU resources to workload demand

Job scheduling (Slurm, PBS, AWS Batch/ParallelCluster) 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

What you’ll do:

Design, size, tune, and operate HPC clusters for compute-intensive workloads

Own HPC job scheduling infrastructure (Slurm, PBS, or equivalent)

Architect/manage AWS ParallelCluster 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

What you’ll need:

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 ParallelCluster 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 DevOps practices (e.g.: CI/CD, infrastructure-as-code, GitOps)

Scripting proficiency in Python, Bash, or PowerShell

Bonus Points if you have:

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)

Clearance:

Must have an active Secret clearance; Top secret preferred

Work Environment & Culture Fit

Comfortable in fast-paced, dynamic environments with evolving compute demands

Strong Agile framework familiarity (sprints, standups, retrospectives)

Solution ownership mindset—responsible for cluster efficiency/reliability

Fail-fast, fail-forward mentality—iterates on cluster tuning

Growth-oriented—invested in mentoring engineers

Who Thrives in This Role

Extreme ownership mindset—accountable for cluster efficiency/workload reliability

Comfortable with ambiguity—translates vague mission needs into concrete architectures

Detail-oriented on performance—tunes resource allocation to avoid over-provisioning

Strong collaborator—partners with data engineering and AI/ML teams

Self-directed—proactively identifies scaling/tuning opportunities

Why This Role Matters

Directly determines whether mission workloads—simulation, modeling, AI/ML pipelines—have the capacity and performance needed. Work is visible at every level, from data engineers and AI/ML teams to mission stakeholders relying on timely simulation and analysis results.

As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia . The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.

The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is:

$109,500 — $224,200 USD

What We Believe

As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement.

Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.

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