HPC Orchestration Architect
Indexed description
THE POSITION
The Architecture team's mission is to build a sound, coherent architecture for the HPC platform. The team takes in product requirements and operational constraints, incorporates validated technologies, and produces reference architectures ready for implementation and rollout. The team is comprised of senior architects with subject matter expertise spanning HPC compute, storage, networking, and orchestration.
As the HPC Orchestration Architect, you will own the architecture of highly scalable, highly available, and globally distributed systems that support large-scale research workloads, with a focus on compute, virtualization, and Kubernetes-based orchestration. You will assess existing and emerging technologies against real business and product needs and drive continuous improvement in developer velocity across the platform.
You will work closely with Storage, Networking, and Compute architects, along with engineering teams, to ensure every orchestration decision fits into a coherent, future-proof HPC platform. You will also establish a data-driven approach to continuously evaluating and improving operational needs and constraints.
Success in this role looks like bringing rigor and clarity to some of the most demanding orchestration and resource-management challenges in HPC, while staying ahead of a fast-moving technology landscape.
Responsibilities
- Design the architecture of highly scalable, highly available, and globally distributed systems to support large-scale research workloads.
- Assess existing and emerging HPC technologies against business and product needs.
- Guide and drive execution by bringing clarity of the architecture to engineering teams and ensuring high-quality engineering standards are followed.
- Collaborate with storage, networking, and compute architects to propose coherent, complete, and future-proof HPC solutions.
- Drive continuous improvement in developer velocity.
- Establish a data-driven approach to continuously evaluating and improving operational needs and constraints.
- Stay current with emerging technologies and approaches and apply new knowledge across disciplines.
- Bachelor's or Master's degree in Computer Science, Engineering, Physics, or a related technical field, with 10-12 years of experience.
- Strong working knowledge of compute architectures, including CPUs, GPUs, and domain-specific accelerators, and their role in large-scale / exascale systems.
- Solid grasp of virtualization technologies, containers, container orchestration, and Kubernetes resource management, with demonstrated understanding of scale, Reliability/Availability/Serviceability, and security consideration
- Hands-on experience building, deploying, and scaling Kubernetes clusters.
- A working understanding of how resource placement tradeoffs impact performance.
- Experience designing or contributing to HPC clusters and parallel computing environments, with proficiency in Linux kernel tuning, system-level optimization, or performance profiling.
- Familiarity with Kubernetes CNI and CSI plugins.
- Experience working directly with clients to capture technical requirements and deliver tailored, scalable system designs across AI/ML and scientific computing.
- Company-Paid Lunch Stipend: Lunch is provided via GrubHub
- Company-Paid Benefits: 100% Employer-Paid Medical in our High Deductible Health Plan, Dental and Vision benefits for employees and their families, 16 weeks of Paid Parental Leave, Employee Assistance Program, Life insurance, Short-Term Disability and Long-Term Disability
- 401(k): Company will match 100% of your contributions up to 6%
- Optional Employee-Paid Benefits: Medical insurance in our PPO plan and a variety of other benefits such as Health Savings Accounts (with Company Contribution!), Flexible Spending Accounts, Supplemental Life Insurance, Wellhub and more.
- Time Off: 25 days of Paid Time Off plus 12 company holidays
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