2

Work From Home High Performance Computing Hpc Jobs

Staff AI Product Manager

Seattle, WA ยท On-site +1

$186K - $233K/yr

... and High-Performance Computing (HPC) environments.Proven track record of successfully managing ... At DO you will work with some of the smartest and most interesting people in the industry and have ...

AI Infrastructure Supply Chain Lead

OR ยท Remote

$113K - $142K/yr

HPC Expertise: 5+ years of experience in high-performance computing (HPC) or hyperscale datacenter ... from the posted range. In addition to base salary, this role will also be offered equity and ...

... high-performance computing (HPC). We are inventing and leveraging novel techniques to solve the ... No matter where we come from, we're united by a common vision for the future and a core set of ...

Work closely with FPGA and systems engineers to ensure efficient data movement and computational ... Experience in high-performance computing (HPC), numerical computing, or ML inference optimization.

Staff AI Product Manager

San Francisco, CA ยท Remote

$186K - $233K/yr

... High-Performance Computing (HPC) environments. * Proven track record of successfully managing ... You will work with some of the smartest and most interesting people in the industry. We are a high ...

$150K - $175K/yr

... high performance computing) systems based upon documented requirements. Critical for an HSE is ... Team members design, build, deploy, test and interpret output from metrics collection capabilities ...

next page

Showing results 1-20

Work From Home High Performance Computing Hpc information

See salary details

$13

$21

$35

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

As of Jun 5, 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 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.

What are the key skills and qualifications needed to thrive in the Work From Home High Performance Computing Hpc position, and why are they important?

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 cities are hiring for Work From Home High Performance Computing Hpc jobs? Cities with the most Work From Home High Performance Computing Hpc job openings:
What states have the most Work From Home High Performance Computing Hpc jobs? States with the most job openings for Work From Home High Performance Computing Hpc jobs include:
What job categories do people searching Work From Home High Performance Computing Hpc jobs look for? The top searched job categories for Work From Home High Performance Computing Hpc jobs are:
Infographic showing various Work From Home High Performance Computing Hpc job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $45,370 per year, or $21.8 per hour.
Staff AI Product Manager

Staff AI Product Manager

DigitalOcean

Seattle, WA โ€ข On-site, Remote

$186K - $233K/yr

Full-time

Posted 28 days ago


Job description

Staff Product Manager โ€“ GPUsDigitalOcean is looking for a Staff Product Manager to own the strategic vision, development, and execution of DigitalOcean's GPU product offerings. This high-impact role positions you at the intersection of advanced technology and market-leading innovation, driving products that influence the future direction of our AI and computational science platform.As a Staff Product Manager, you will serve as product leader owning the foundation that powers accelerated computing. You will define how we strategically plan upcoming GPU products, acquire, allocate, and deploy GPU resources at scale, ensuring our product aligns with broader business objectives and customer demand for AI/ML and HPC workloads.What You'll DoOwn and drive the product strategy and roadmap for DigitalOcean's GPUs, including capacity definition, provisioning, and deployment workflow, while aligning closely with overall cloud infrastructure objectives.Conduct comprehensive market analysis on GPU compute trends, competitive offerings, pricing, and emerging technologies to inform product direction and positioning.Collaborate directly with Engineering and Infrastructure teams to conceptualize, develop, and deliver cutting-edge GPU solutions optimized for AI, ML, and HPC workloads.Serve as the primary advocate for customer deployment requirements, actively collecting and prioritizing feedback to continually refine the capacity consumption experience and platform offerings.Partner effectively with Hardware Engineering, Capacity Planning, Solutions Architecture, and Go-to-Market teams to ensure successful, scalable GPU resource launches and full lifecycle management.Utilize data-driven approaches to evaluate product success, track key metrics around utilization and deployment velocity, and guide strategic product enhancements.What You'll Add To DigitalOcean7+ years of product management experience, specializing in cloud compute infrastructure, accelerated computing, or high-performance networking.Deep technical knowledge of GPU architectures (AMD, NVIDIA) and their specific applications in AI, ML, and High-Performance Computing (HPC) environments.Proven track record of successfully managing complex infrastructure products from initial concept through large-scale deployment and optimization.A strong sense of ownership and a drive to figure out and resolve any issues preventing you and your team from delivering value to your customers.Exceptional analytical and problem-solving skills, with a demonstrated ability to make and communicate strategic, data-driven decisions, especially related to capacity and scaling.Strong leadership and cross-functional communication skills, capable of driving consensus and inspiring collaboration across technical and business teams.Customer-focused mindset, with direct experience gathering insights and translating them into valuable product improvements.Experience with the Atlassian suite (Jira and Confluence) for managing the flow of value in both Agile and hybrid environments.A Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical work experience.Compensation Range$186,000 โ€“ $233,000This is a remote role.Why You'll Like Working for DigitalOceanWe innovate with purpose.

You'll be part of a cutting-edge technology company with an upward trajectory, simplifying cloud and AI so builders can focus on creating software that changes the world.We prioritize career development. At DO you will work with some of the smartest and most interesting people in the industry and have access to resources that support your growth.We care about your well-being. Regardless of your location, we provide a competitive array of benefits, including an Employee Assistance Program, flexible time off, and more.We reward our employees.

In addition to a competitive salary range, you may qualify for a bonus and equity compensation, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Application LimitYou may apply to a maximum of 3 positions within any 180-day period.J-18808-Ljbffr