Graphics Processing Unit (GPU) Engineer - Careers at Leidos
Leidos
Graphics Processing Unit (GPU) Engineer - Careers at Leidos
Job Description
Join Leidos as a Graphics Processing Unit (GPU) Engineer
Leidos delivers innovative solutions for critical intelligence community missions. We're seeking a highly skilled Systems Engineer with deep expertise in operating systems, hardware, GPUs, and high-speed networking to design, develop, and optimize GPU clusters powering enterprise AI.
Key Responsibilities
- GPU Cluster Engineering: Design, configure, and maintain GPU clusters. Collaborate on architectures for performance, power efficiency, and features.
- Operating System Integration: Ensure seamless GPU integration with Linux systems. Optimize drivers for compatibility, reliability, and performance.
- Performance Optimization: Analyze performance, identify bottlenecks, and enhance efficiency across hardware/software.
- Tooling and Automation: Develop debugging tools, profiling utilities, and automation using Bash, Python, Ansible, Puppet, Salt.
- Compliance & Documentation: Maintain docs, specs, and best practices. Support ATO and federal security standards.
Required Qualifications
- Bachelor's+ in relevant field with 12+ years experience (or equivalent).
- 10+ years systems engineering.
- NVIDIA GPU platforms (DGX, HGX, H200, H100, L4s).
- Enterprise servers, Linux expertise (RHEL, Ubuntu, etc.).
- DoD 8570 IAT Level II+, TS/SCI with Poly (or willingness), US Citizenship.
Preferred Skills
- Kubernetes, AI/ML orchestration (Argo, Airflow, Kubeflow).
- GPU virtualization, cloud computing, Prometheus/Grafana, Slurm.
What You'll Gain
Work 100% on-site at Bethesda's Intelligence Community Campus. Contribute to national security in a dynamic team. Enjoy career growth, rewarding relationships, and challenges that push boundaries. Pay: $131,300 - $237,350 USD/year.
If you're innovative and driven, apply now.
Locations
- Bethesda, Maryland, United States
Salary
131,300 - 237,350 USD / yearly
131,300 - 237,350 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- NVIDIA GPU data center platforms (DGX, HGX, H200, H100, L4s)intermediate
- Linux distributions (RHEL, Ubuntu, Oracle, Rocky)intermediate
- GPU cluster design and maintenanceintermediate
- Performance optimization and bottleneck analysisintermediate
- Scripting and automation (Bash, Python, Ansible, Puppet, Salt)intermediate
- Kubernetes, Slurm, Prometheus/Grafanaintermediate
Required Qualifications
- Bachelor's or higher in Computer Science, Computer Engineering, Electrical Engineering or related + 12 years experience (experience)
- 10+ years systems engineering experience (experience)
- Active TS/SCI clearance with Polygraph or willingness to obtain (experience)
- DoD 8570.11 IAT Level II certification (Security+ CE, etc.) (experience)
- US Citizenship required (experience)
- Enterprise server components knowledge (storage/network controllers, HBA, SSDs) (experience)
Responsibilities
- Design, configure, and maintain GPU clusters for enterprise AI
- Integrate and optimize GPU drivers in Linux-based systems
- Analyze GPU performance, identify bottlenecks, and improve efficiency
- Build debugging tools, profiling utilities, and automation scripts
- Maintain documentation, support ATO, and ensure federal security compliance
Benefits
- general: Career enrichment through mobility and development opportunities
- general: Supportive supervisors and talented colleagues
- general: Contributions to national security missions
- general: High-performing collaborative environment
- general: Clear path for technical advancement and challenges
Tags & Categories
Answer 10 quick questions to check your fit for Graphics Processing Unit (GPU) Engineer - Careers at Leidos @ Leidos.
Related Books and Jobs
Graphics Processing Unit (GPU) Engineer - Careers at Leidos
Leidos
Graphics Processing Unit (GPU) Engineer - Careers at Leidos
Job Description
Join Leidos as a Graphics Processing Unit (GPU) Engineer
Leidos delivers innovative solutions for critical intelligence community missions. We're seeking a highly skilled Systems Engineer with deep expertise in operating systems, hardware, GPUs, and high-speed networking to design, develop, and optimize GPU clusters powering enterprise AI.
Key Responsibilities
- GPU Cluster Engineering: Design, configure, and maintain GPU clusters. Collaborate on architectures for performance, power efficiency, and features.
- Operating System Integration: Ensure seamless GPU integration with Linux systems. Optimize drivers for compatibility, reliability, and performance.
- Performance Optimization: Analyze performance, identify bottlenecks, and enhance efficiency across hardware/software.
- Tooling and Automation: Develop debugging tools, profiling utilities, and automation using Bash, Python, Ansible, Puppet, Salt.
- Compliance & Documentation: Maintain docs, specs, and best practices. Support ATO and federal security standards.
Required Qualifications
- Bachelor's+ in relevant field with 12+ years experience (or equivalent).
- 10+ years systems engineering.
- NVIDIA GPU platforms (DGX, HGX, H200, H100, L4s).
- Enterprise servers, Linux expertise (RHEL, Ubuntu, etc.).
- DoD 8570 IAT Level II+, TS/SCI with Poly (or willingness), US Citizenship.
Preferred Skills
- Kubernetes, AI/ML orchestration (Argo, Airflow, Kubeflow).
- GPU virtualization, cloud computing, Prometheus/Grafana, Slurm.
What You'll Gain
Work 100% on-site at Bethesda's Intelligence Community Campus. Contribute to national security in a dynamic team. Enjoy career growth, rewarding relationships, and challenges that push boundaries. Pay: $131,300 - $237,350 USD/year.
If you're innovative and driven, apply now.
Locations
- Bethesda, Maryland, United States
Salary
131,300 - 237,350 USD / yearly
131,300 - 237,350 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- NVIDIA GPU data center platforms (DGX, HGX, H200, H100, L4s)intermediate
- Linux distributions (RHEL, Ubuntu, Oracle, Rocky)intermediate
- GPU cluster design and maintenanceintermediate
- Performance optimization and bottleneck analysisintermediate
- Scripting and automation (Bash, Python, Ansible, Puppet, Salt)intermediate
- Kubernetes, Slurm, Prometheus/Grafanaintermediate
Required Qualifications
- Bachelor's or higher in Computer Science, Computer Engineering, Electrical Engineering or related + 12 years experience (experience)
- 10+ years systems engineering experience (experience)
- Active TS/SCI clearance with Polygraph or willingness to obtain (experience)
- DoD 8570.11 IAT Level II certification (Security+ CE, etc.) (experience)
- US Citizenship required (experience)
- Enterprise server components knowledge (storage/network controllers, HBA, SSDs) (experience)
Responsibilities
- Design, configure, and maintain GPU clusters for enterprise AI
- Integrate and optimize GPU drivers in Linux-based systems
- Analyze GPU performance, identify bottlenecks, and improve efficiency
- Build debugging tools, profiling utilities, and automation scripts
- Maintain documentation, support ATO, and ensure federal security compliance
Benefits
- general: Career enrichment through mobility and development opportunities
- general: Supportive supervisors and talented colleagues
- general: Contributions to national security missions
- general: High-performing collaborative environment
- general: Clear path for technical advancement and challenges
Tags & Categories
Answer 10 quick questions to check your fit for Graphics Processing Unit (GPU) Engineer - Careers at Leidos @ Leidos.
Related Books and Jobs