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Hpc Jobs (NOW HIRING)

HPC Kubernetes Architect

Dallas, TX ยท On-site

$62.75 - $86/hr

The Position As an HPC Kubernetes Solutions Architect, you will act as a trusted advisor to customers, guiding them through the design, integration, and adoption of GPU-accelerated Kubernetes ...

The HPC Support Engineer will assist users executing computational workloads within HPC cluster environments. The role focuses on: * supporting distributed compute workloads * troubleshooting job ...

HPC Storage Engineer

Ann Arbor, MI ยท On-site

$105K - $180K/yr

HPC Storage Development & Support * Contribute to the design and implementation of high-performance storage for HPC environments * Support storage configurations using NVMe, SSDs, RAID, and ...

Senior HPC Engineer

Mountain View, CA ยท On-site

$123K - $168K/yr

ASRC Federal is looking for a Senior HPC Engineer, as ASRC Federal InuTeq provides High Performance Computing services across the full HPC lifecycle including computational requirements, architecture ...

Senior HPC Engineer

Mountain View, CA

$123K - $168K/yr

ASRC Federal is looking for a Senior HPC Engineer, as ASRC Federal InuTeq provides High Performance Computing services across the full HPC lifecycle including computational requirements, architecture ...

Who We're Looking For We are seeking an experienced HPC Administrator with a strong background in Linux systems administration , HPC environments , and workload scheduling platforms such as PBS ...

$43 - $45/hr

Our team is seeking a HPC Application Manager to join our team supporting the Department of Defense (DoD) with High Performance Computing (HPC) Moderation Program and Army Corps of Engineers ...

We're seeking an HPC Storage Engineer who wants handson experience working with production HPC storage systems. This role offers strong technical mentorship, realworld impact, and a clear path to ...

We're seeking an HPC Storage Engineer who wants handson experience working with production HPC storage systems. This role offers strong technical mentorship, realworld impact, and a clear path to ...

The HPC Systems Engineer will support the build-out, configuration, and sustainment of HPC cluster platforms. The role focuses on: * cluster platform configuration * scheduler administration ...

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Hpc information

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How much do hpc jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for hpc in the United States is $18.55, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.15 per hour, depending on experience, location, and employer.

What is the difference between Hpc vs Network Administrator?

AspectHpcNetwork Administrator
Required CredentialsTypically requires a degree in computer science, IT, or related field; certifications like HPC certifications or Linux certifications are commonRequires a degree in computer science, IT, or related field; certifications like Cisco CCNA, CompTIA Network+ are common
Work EnvironmentHigh-performance computing centers, research labs, data centersOffice settings, data centers, corporate IT departments
Industry UsageResearch institutions, scientific computing, large-scale data processingCorporate, government, and educational institutions managing network infrastructure

Hpc specialists focus on managing and optimizing high-performance computing systems for scientific and research purposes, while Network Administrators oversee and maintain network infrastructure to ensure connectivity and security. Both roles require IT expertise but differ in their specific environments and technical focus.

What are HPC (High Performance Computing) professionals?

HPC (High Performance Computing) professionals are experts who design, manage, and optimize powerful computing systems used for complex computational tasks. These systems are often used in scientific research, weather forecasting, engineering simulations, and data analysis where large amounts of data need to be processed quickly. HPC professionals work with clusters, supercomputers, and advanced software to ensure high-speed performance and reliability. Their skills include parallel programming, system administration, and troubleshooting complex computational problems.

What are the key skills and qualifications needed to thrive as an HPC (High Performance Computing) Specialist, and why are they important?

To thrive as an HPC Specialist, you need a strong background in computer science, parallel programming, and systems architecture, often supported by a relevant degree or certifications. Familiarity with Linux operating systems, cluster management tools, job schedulers (like SLURM), and programming languages such as C/C++ or Python is essential. Effective problem-solving, teamwork, and communication skills help HPC specialists collaborate with researchers and troubleshoot complex technical issues. These skills and qualities are crucial to optimize computational resources and support advanced scientific or engineering projects.

What are some common challenges faced by HPC (High Performance Computing) professionals when supporting large-scale scientific research projects?

HPC professionals often encounter challenges such as optimizing code for parallel processing, managing limited computational resources, and ensuring efficient data throughput for large datasets. Collaborating with researchers to translate scientific problems into computational tasks requires strong communication skills and adaptability. Additionally, keeping up with rapidly evolving hardware and software technologies is essential for maintaining and improving system performance. These challenges are typically met through ongoing training, teamwork with domain scientists, and proactive system monitoring.
More about Hpc jobs
What cities are hiring for Hpc jobs? Cities with the most Hpc job openings:
What states have the most Hpc jobs? States with the most job openings for Hpc jobs include:
Infographic showing various Hpc job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $38,580 per year, or $18.5 per hour.

HPC Kubernetes Architect

NorthMark Strategies

Dallas, TX โ€ข On-site

$62.75 - $86/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

The Company
NorthMark Compute & Cloud (NMCยฒ) is backed by dedicated leadership and investment, with a clear mission as it operates at the bleeding edge of technology. Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that supports its clients' research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers build critical infrastructure to eliminate friction in scientific research, simulations, analysis, and decision-making, accelerating discovery and driving faster innovation.
The Position
As an HPC Kubernetes Solutions Architect, you will act as a trusted advisor to customers, guiding them through the design, integration, and adoption of GPU-accelerated Kubernetes platforms purpose-built for high-performance computing (HPC), AI/ML training, simulation, and scientific workloads.
This is a customer-facing architecture role with accountability across the entire solution lifecycle - from early discovery and requirements analysis, through reference architecture design, proof-of-concept delivery, and deployment, to long-term optimization and platform evolution. You will be responsible for creating architectural blueprints and integration strategies that enable customers to achieve measurable performance and scalability outcomes, while preparing them for future growth and technology shifts. In addition, you will collaborate closely with product, engineering, and operations teams, ensuring customer feedback informs roadmap priorities and helping define the next generation of Kubernetes-based HPC orchestration. This role is ideal for someone who combines deep technical expertise in Kubernetes and GPU orchestration with the ability to engage customers as a solution strategist, aligning today's workloads with tomorrow's innovation.
Responsibilities:
  • Act as the primary architectural point of contact for customers adopting GPU-accelerated Kubernetes platforms for HPC and AI/ML workloads.
  • Partner with customers to capture workload requirements, performance objectives, scaling needs, and integration constraints, translating them into reference architectures and actionable solution designs.
  • Architect and operate Kubernetes clusters optimized for GPU workloads, leveraging NVIDIA GPU Operator, Network Operator, DCGM, and device plugins.
  • Integrate and tune Multi-Instance GPU (MIG), GPU sharing, and scheduler extensions (e.g., Volcano, Slurm integration, kube-scheduler plugins) to maximize efficiency in multi-tenant environments.
  • Develop or extend custom Kubernetes operators and controllers in Go/Python to automate HPC infrastructure services.
  • Design and recommend secure multi-tenant Kubernetes environments, implementing RBAC, OPA/Gatekeeper policies, namespace isolation, and workload quotas.
  • Lead proof-of-concept and benchmarking engagements, using profiling tools, workload characterization, and telemetry to validate solution performance and scalability.
  • Define and document integration strategies across compute, storage, networking, and orchestration layers, including CNI plugins (NVIDIA CNI, Multus, Cilium), storage systems (Lustre, GPFS, Ceph, VAST), and container runtimes (containerd, NVIDIA Container Toolkit).
  • Drive observability and monitoring solutions with Prometheus, Grafana, DCGM Exporter, and OpenTelemetry, ensuring visibility into GPU health, cluster utilization, and workload performance.
  • Support GitOps-driven CI/CD pipelines for Kubernetes infrastructure using ArgoCD, FluxCD, Helm, and Kustomize.
  • Collaborate with HPC, ML, and DevOps teams to validate performance and scalability in hybrid or on-premise environments.
  • Provide architectural leadership during onboarding and deployment, ensuring successful integration of Kubernetes clusters with HPC schedulers and enterprise IT systems.
  • Build and maintain strategic relationships with ecosystem vendors (e.g., NVIDIA, Cisco, storage partners), incorporating emerging technologies into customer environments.
  • Share future insights with customers on GPU roadmaps, interconnect advancements (e.g., InfiniBand, RoCE, NVLink), and container orchestration trends.
  • Represent the organization in customer design sessions, technical workshops, and industry conferences, positioning yourself as a thought leader in Kubernetes for HPC.
Requirements:
  • Bachelor's Degree or equivalent experience
  • Extensive experience in Kubernetes architecture and operations for HPC or GPU-intensive environments.
  • Strong technical expertise in:
  • NVIDIA GPU stack (GPU Operator, device plugins, MIG, NVML, DCGM).
  • Kubernetes internals (CRDs, RBAC, scheduler extensions, custom operators/controllers).
  • Distributed and parallel storage integration with Kubernetes for HPC workloads.
  • High-performance networking (InfiniBand, RDMA, RoCE) in containerized environments.
  • Proven ability to design scalable, secure, and resilient Kubernetes-based architectures for HPC and AI/ML use cases.
  • Proficiency in Go or Python for Kubernetes operator or controller development.
  • Experience with workload profiling, benchmarking, and performance tuning.
  • Strong customer engagement skills, capable of translating requirements into actionable architectures and presenting solutions effectively.
  • Collaborative mindset with experience working across engineering, product, and operations teams.
Preferred Experience
  • Demonstrated success in end-to-end customer solution delivery, from requirements discovery to deployment and adoption.
  • Familiarity with containerized HPC environments (e.g., Singularity/Apptainer).
  • Exposure to automation and GitOps practices for Kubernetes platform management (e.g., ArgoCD, FluxCD).
  • Contributions to open-source projects in the Kubernetes or NVIDIA ecosystem.
  • Experience advising on future adoption strategies, helping customers prepare for emerging GPU, interconnect, and orchestration technologies.
  • Bachelor's or Master's degree in Computer Science, Engineering, Physics, or related technical field.
  • Relevant Kubernetes and container certifications such as CKA, CKAD, or CKS, alongside cloud certifications like AWS Solutions Architect or Azure Solutions Architect Expert.

It is impossible to list every requirement for, or responsibility of, any position. Similarly, we cannot identify all the skills a position may require since job responsibilities and the Company's needs may change over time. Therefore, the above job description is not comprehensive or exhaustive. The Company reserves the right to adjust, add to or eliminate any aspect of the above description. The Company also retains the right to require all employees to undertake additional or different job responsibilities when necessary to meet business needs.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Benefits & Perks:
  • 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

EQUAL OPPORTUNITY EMPLOYER
NORTHMARK STRATEGIES LLC IS AN EQUAL EMPLOYMENT OPPORTUNITY EMPLOYER. THE COMPANY'S POLICY IS NOT TO DISCRIMINATE AGAINST ANY APPLICANT OR EMPLOYEE BASED ON RACE, COLOR, RELIGION, NATIONAL ORIGIN, GENDER, AGE, SEXUAL ORIENTATION, GENDER IDENTITY OR EXPRESSION, MARITAL STATUS, MENTAL OR PHYSICAL DISABILITY, AND GENETIC INFORMATION, OR ANY OTHER BASIS PROTECTED BY APPLICABLE LAW. THE FIRM ALSO PROHIBITS HARASSMENT OF APPLICANTS OR EMPLOYEES BASED ON ANY OF THESE PROTECTED CATEGORIES.