GPU Systems Engineer 4

Job Description

Position Summary
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Support enterprise AI mission systems by designing, developing, and optimizing GPU clusters, with deep focus on operating systems, hardware, GPU platforms, and high-speed networking in a secure customer environment.

Essential Duties and Responsibilities
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* Design, configure, and maintain GPU clusters.
* Collaborate with a multidisciplinary team to define and optimize architectures for performance, power efficiency, and required features.
* Work closely with AI/ML engineers to integrate GPUs with Linux-based systems.
* Optimize GPU drivers for compatibility, reliability, and performance.
* Analyze GPU performance, identify bottlenecks, and develop strategies to improve efficiency across hardware and software layers.
* Build and maintain debugging tools, profiling utilities, and performance analysis software for Linux environments.
* Leverage Bash, Python, Ansible, Puppet, and Salt for tooling and automation.
* Maintain technical documentation, architectural specifications, and Linux best practices.
* Support ATO activities and ensure compliance with federal security standards.

Required Qualifications
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* Active TS/SCI with ability to obtain a CI Polygraph.
* Bachelor's degree with a minimum of ten years of experience in the category field.
* Experience managing NVIDIA GPU data center platforms, including DGX, HGX, H200, H100, and L4s.
* Knowledge of enterprise server components, including storage/network controllers, HBAs, and SSDs.
* Strong expertise with Linux distributions, including RHEL, Ubuntu, Oracle, and Rocky.
* Excellent problem-solving skills and the ability to collaborate within a team.
* Meet DoD 8570.11 IAT Level II certification requirements at a minimum; IAT Level III is also acceptable.
* U.S. citizenship is required due to the nature of the government contracts supported.

Preferred Qualifications
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* Experience with Kubernetes cluster management and AI/ML workflow orchestration, including Argo, Airflow, and Kubeflow.
* Familiarity with GPU virtualization and cloud computing.
* Experience with Prometheus and Grafana for monitoring.
* Knowledge of distributed resource scheduling systems such as Slurm, LSF, or similar tools.

Required Education and Experience Equivalency
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* Bachelors' Degree with 10 years of experience.
* Masters' Degree with 10 years of experience.
* PhD with 10 years of experience.

Required Certifications
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* DoD 8570.11 IAT Level II certification: Security CE, CCNA-Security, GICSP, GSEC, or SSCP.

Required Security Clearance
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* Active TS/SCI with ability to obtain a CI Polygraph.