HPC Orchestration Architect

Job Title: HPC Orchestration Architect

Industry: High Performance Computing / AI Infrastructure

Location (city, state): Dallas, TX

Assignment Type: Direct hire

Pay: $180,000–$260,000 base salary, plus a potential $50,000–$100,000 bonus

Work Schedule: Hybrid; three days in the Dallas office and two days remote. The manager determines the in-office days.

Benefits: This position is eligible for 100% paid medical, dental, vision, and 401(k). Additional benefits include 25 days of PTO, an HSA contribution, lunch on office days, and a gym membership.

About The Company:

Our client builds advanced computing infrastructure for large-scale AI, scientific research, and other demanding workloads.

Job Description:

We are seeking an HPC Orchestration Architect to shape how computing resources are deployed and managed across a distributed platform. You will lead architectural decisions involving Kubernetes, virtualization, and workload placement, working closely with specialists in compute, storage, and networking.

Key Responsibilities:

• Create scalable, resilient designs for orchestrating research and AI workloads across multiple locations.
• Define how containers, virtualized systems, and compute resources should be managed within the HPC platform.
• Work with other architects to ensure orchestration designs fit the broader compute, storage, and network environment.
• Turn product needs and operating constraints into clear designs that engineering teams can implement.
• Evaluate new technologies and use performance data to guide platform improvements.
• Help engineering teams apply technical standards and deliver platform changes efficiently.
• Gather requirements from customers and stakeholders to inform practical system designs.
  
  

Qualifications:

• Approximately 10–12 years of relevant architecture or engineering experience preferred.
• Strong understanding of CPUs, GPUs, and other accelerators in large-scale computing environments.
• Hands-on experience building, deploying, and scaling Kubernetes clusters.
• Knowledge of virtualization, containers, orchestration, and the performance effects of workload placement.
• Experience with HPC clusters or parallel computing, including Linux optimization or performance profiling.
• Familiarity with distributed file systems and their effect on compute workloads.
• Ability to explain architectural decisions and collaborate across technical teams. A related degree is preferred, but relevant experience will be considered.
  
  

Additional Details:

Relocation assistance may be tailored to the candidate, and TN visa candidates may be considered. The anticipated interview process includes an HR screen, a hiring manager meeting, a discussion of technical experience and concepts, and an onsite visit.