HPC Orchestration Architect

Addison Group; Dallas (TX); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

100% paid medical, dental, vision

401(k)

PTO 25 days

HSA contribution

Lunch on office days

Gym membership

Job summary

Addison Group client seeks an HPC Orchestration Architect in Dallas to shape deployment and management of compute resources across a distributed platform. You will lead architectural decisions around Kubernetes, virtualization, and workload placement with cross‑functional teams.

Experience routing architecture for HPC/high‑end AI workloads, Linux optimization, and distributed file systems is essential. This role is hybrid with in‑office days in Dallas and remote collaboration.

Qualifications

• 10–12 years of architecture or engineering experience.
• Strong Kubernetes clustering and orchestration experience.
• Experience with HPC clusters or parallel computing.
• Familiar with virtualization, containers, and workload placement effects.
• Ability to explain architectural decisions across technical teams.

Responsibilities

• Create scalable designs for orchestrating AI/research workloads across locations.
• Define management of containers, VMs, and compute inside the HPC platform.
• Collaborate with compute, storage, and networking teams on designs.
• Translate product needs and constraints into implementable designs.
• Evaluate new technologies and use performance data to improve the platform.
• Guide engineering teams to apply technical standards efficiently.
• Gather requirements from customers and stakeholders for practical designs.

Skills

Kubernetes expertise

Linux performance optimization

Workload placement

HPC/parallel computing

Distributed file systems

Architectural communication

Education

Bachelor's degree in CS/EE or related field

Tools

Docker

Virtualization

Performance profiling tools

Job description

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.