Senior HPC Cloud Engineer

Accenture-Federal-Services-2; Salt Lake City (UT); On-site; USD 110,000 - 224,000; Full time

Job summary

Accenture Federal Services in Utah is seeking a Senior Cloud Engineer / HPC specialist to design, size, tune, and operate high-performance compute clusters for mission workloads, including GPU-accelerated tasks.

You’ll own HPC scheduling (Slurm, PBS) and architect AWS ParallelCluster/AWS Batch for scalable provisioning, while collaborating with data platform teams to ensure secure, compliant operations. A Secret clearance is required, and related Agile practices are common.

Qualifications

• 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 (CI/CD, infrastructure-as-code, GitOps).
• Scripting proficiency in Python, Bash, or PowerShell

Responsibilities

• 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.
• 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.
• Document cluster architecture decisions, runbooks, and operational procedures

Skills

HPC cluster design

HPC operations

AWS ParallelCluster

AWS Batch

Slurm/PBS job schedulers

CUDA/cuDNN tuning

GPU-accelerated workloads

Kafka/Airflow/Spark data pipelines

Python Bash PowerShell

DevOps practices

Education

Bachelor's in Computer Science, Computational Science, or Engineering

Tools

AWS ParallelCluster

AWS Batch

Slurm

PBS

CUDA

cuDNN

Kafka

Airflow

Spark

EMR/Redshift/Glue

Job description

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people.Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

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
• 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
• 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
• 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
• 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
• 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.

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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.

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Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If youare being considered for employment opportunities with Accenture Federal Services andneed anaccommodation for a disability or religious observanceduring the interview process or for the job you are interviewing for, please speak with your recruiter.

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Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.

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The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

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For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Accenture Federal Services’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

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