The Role
Designs, sizes, operates, and optimizes high-performance computing clusters for mission workloads. Owns Slurm, PBS, AWS ParallelCluster, and AWS Batch scheduling infrastructure; tunes GPU, CUDA, and cuDNN workloads; integrates clusters with data pipelines and AWS services; and ensures classified-environment security and accreditation. The role also documents architectures, mentors engineers, and drives cost-efficient resource allocation across CPU and GPU infrastructure.
Summary Generated by Built In
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
- 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.
Requesting An Accommodation
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 you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.
Other Employment Statements
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.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
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.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Skills Required
- At least 5 years of cloud engineering or infrastructure experience
- At least 2 years of experience focused on HPC cluster design and operations
- Experience with HPC job scheduling systems such as Slurm or PBS
- Proficiency with AWS ParallelCluster and/or AWS Batch
- Understanding of parallel computing paradigms, including MPI, shared memory, or distributed task orchestration
- Working knowledge of DevOps practices, including CI/CD, infrastructure as code, or GitOps
- Scripting proficiency in Python, Bash, or PowerShell
- Active Secret security clearance
- Bachelor's degree in Computer Science, Computational Science, Engineering, or a related field, or equivalent certification
- Experience with industry GPU hardware and software ecosystems
- Familiarity with CUDA, cuDNN, and GPU-accelerated libraries
- Experience designing or operating data pipelines using Kafka, Airflow, or Spark
- Familiarity with AWS EMR, Redshift, or Glue
- AWS Solutions Architect or Advanced Networking certification
- Top Secret security clearance
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The Company
What We Do
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture LLP. It empowers US federal agencies to reinvent their operations and deliver missions faster using technology and AI. By leveraging mission expertise and commercial innovation, the company provides solutions in cloud, data, and cybersecurity to help the government make the nation stronger, safer, and more resilient.
