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Work From Home High Performance Computing Hpc Jobs

Cohere

Software Engineer, GPU Infrastructure (HPC)

$110K - $144K/yr

Work closely with AI researchers to understand emerging needs (e.g., JAX, PyTorch, distributed ... and high-performance computing (HPC) environments. • Kubernetes at scale: Proven ability to ...

Abaxis

HPC Platform Product Lead

Portage, MI · On-site +1

POSITION SUMMARY Owns the end-to-end success of Zoetis' VMRD High Performance Computing (HPC ... PHYSICAL POSITION REQUIREMENTS Primarily office/remote knowledge-work role; prolonged periods of ...

NextSilicon

HPC Customer Solutions Engineer

Austin, TX · On-site +1

That's why we foster a work environment where every employee can feel valued and heard. * Impact : ... future of high-performance computing, we want to hear from you. We currently have 2 open ...

General Motors

Senior AI/ML Performance Engineer

$107K - $146K/yr

... high-performance computing (HPC). • Hands-on experience with Kubernetes for orchestrating complex workloads. • Technical proficiency with Nvidia DCGM, nvidia-smi, and Grafana for real-time ...

CoreWeave

Technical Support Engineer - III (Cloud)

... hands-on work experience with Kubernetes • Experience with networking, load balancing, storage volumes, observability, node management, High-Performance Computing (HPC), and Linux system ...

NextSilicon

HPC Applications Engineer

Minneapolis, MN · On-site +1

Description NextSilicon is reimagining high-performance computing. Our accelerated compute ... That's why we foster a work environment where every employee can feel valued and heard. * Impact : ...

The Pennsylvania State University

$92K - $152K/yr

POSITION SPECIFICS We are searching for a High-Performance Computing (HPC) system administrator to ... You will work with our team of scientists and engineers to develop and advance our nation's defense ...

Biohub

Staff HPC Engineer

San Francisco, CA · On-site +1

This role will help shape strategy, architecture, and operations for high-performance computing ... This hybrid environment will power everything from traditional HPC workloads to large AI training ...

NextSilicon

HPC Systems Administrator

Minneapolis, MN · Remote

NextSilicon is revolutionizing high-performance computing. Our innovative coprocessor technology ... That's why we foster a work environment where every employee can feel valued and heard. * Impact : ...

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How much do work from home high performance computing hpc jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for work from home high performance computing hpc in the United States is $21.81, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $23.80 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the work from home high performance computing HPC position?

To thrive as a Work From Home High Performance Computing (HPC) professional, you need a solid background in computer science, parallel computing, and experience with HPC architectures, often supported by a relevant degree. Familiarity with tools such as Linux, job schedulers (e.g., Slurm, PBS), parallel programming languages (MPI, OpenMP), and cloud-based HPC solutions is highly valuable, and certifications in cloud platforms or HPC administration can be advantageous. Strong problem-solving skills, self-motivation, and clear written and verbal communication are essential for success while working remotely. These capabilities ensure efficient system management, troubleshooting, and collaboration with distributed teams, all of which are critical for maintaining and optimizing high-performance computing environments remotely.

What are the typical daily responsibilities of a remote high performance computing HPC professional?

As a remote High Performance Computing (HPC) professional, your daily tasks typically include monitoring system performance, troubleshooting technical issues, deploying software updates, and optimizing computational workflows. You'll frequently interact with researchers or engineering teams to support their computational projects, resolve user issues, and ensure smooth job scheduling and resource allocation. Many roles also involve automating system tasks or configuring new nodes in the HPC cluster, often via secure remote access. Effective communication and teamwork are key, as you'll regularly collaborate with both technical and non-technical colleagues, sometimes across different time zones. This dynamic work environment provides opportunities to solve complex problems and contribute to cutting-edge research and innovation.

What is a work from home high performance computing HPC job?

A Work From Home High Performance Computing (HPC) job involves managing, developing, or optimizing high-performance computing systems remotely. Professionals in these roles work on complex computational tasks, such as scientific simulations, machine learning, or large-scale data processing. Responsibilities may include configuring HPC clusters, troubleshooting performance issues, and developing parallel computing applications. These positions typically require strong knowledge of Linux, scripting, parallel computing frameworks, and cloud-based HPC solutions.

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Work From Home High Performance Computing Hpc jobs near you
Infographic showing various Work From Home High Performance Computing Hpc job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $45,370 per year, or $21.8 per hour.

Software Engineer, GPU Infrastructure (HPC)

Cohere

Remote

$110K - $144K/yr

Full-time

Re-posted 6 days ago

Job description

Job Summary:
Cohere is the leading security-first enterprise AI company, focused on building cutting-edge foundation AI models and products. The Staff Software Engineer will build and operate GPU/TPU superclusters, collaborating closely with AI researchers to enhance infrastructure for AI workloads.
Responsibilities:
• Build and scale ML-optimized HPC infrastructure: Deploy and manage Kubernetes-based GPU/TPU superclusters across multiple clouds, ensuring high throughput and low-latency performance for AI workloads.
• Optimize for AI/ML training: Collaborate with cloud providers to fine-tune infrastructure for cost efficiency, reliability, and performance, leveraging technologies like RDMA, NCCL, and high-speed interconnects.
• Troubleshoot and resolve complex issues: Proactively identify and resolve infrastructure bottlenecks, performance degradation, and system failures to ensure minimal disruption to AI/ML workflows.
• Enable researchers with self-service tools: Design intuitive interfaces and workflows that allow researchers to monitor, debug, and optimize their training jobs independently.
• Drive innovation in ML infrastructure: Work closely with AI researchers to understand emerging needs (e.g., JAX, PyTorch, distributed training) and translate them into robust, scalable infrastructure solutions.
• Champion best practices: Advocate for observability, automation, and infrastructure-as-code (IaC) across the organization, ensuring systems are maintainable and resilient.
• Mentorship and collaboration: Share expertise through code reviews, documentation, and cross-team collaboration, fostering a culture of knowledge transfer and engineering excellence.
Qualifications:
Required:
• Deep expertise in ML/HPC infrastructure: Experience with GPU/TPU clusters, distributed training frameworks (JAX, PyTorch, TensorFlow), and high-performance computing (HPC) environments.
• Kubernetes at scale: Proven ability to deploy, manage, and troubleshoot cloud-native Kubernetes clusters for AI workloads.
• Strong programming skills: Proficiency in Python (for ML tooling) and Go (for systems engineering), with a preference for open-source contributions over reinventing solutions.
• Low-level systems knowledge: Familiarity with Linux internals, RDMA networking, and performance optimization for ML workloads.
• Research collaboration experience: A track record of working closely with AI researchers or ML engineers to solve infrastructure challenges.
• Self-directed problem-solving: The ability to identify bottlenecks, propose solutions, and drive impact in a fast-paced environment.
Company:
Cohere develops enterprise artificial intelligence software and provides language models, retrieval tools, and workplace platforms. Founded in 2019, the company is headquartered in Toronto, CAN, with a team of 201-500 employees. The company is currently Growth Stage.

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