HPC Orchestration Architect

Type: Direct-HireCategory: Information TechnologyReference ID: Job record: a1qjB vJCPQA2Valid through: Job Title: HPC Orchestration ArchitectIndustry: High Performance Computing / AI InfrastructureLocation (city, state): Dallas, TXAssignment Type: Direct hirePay: $180,000–$260,000 base salary, plus a potential $50,000–$100,000 bonusWork 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.