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Remote Supercomputer Jobs (NOW HIRING)

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Remote Supercomputer information

What are the key skills and qualifications needed to thrive as a Remote Supercomputer Operator, and why are they important?

To thrive as a Remote Supercomputer Operator, you need expertise in high-performance computing (HPC), system administration, and a relevant degree in computer science or engineering. Familiarity with operating systems like Linux, cluster management tools (e.g., SLURM), and parallel programming frameworks is typically required. Strong problem-solving, attention to detail, and effective communication skills set top operators apart. These competencies are crucial for maintaining system uptime, optimizing performance, and supporting users in complex computational environments.

What are some common challenges faced by professionals working with remote supercomputers, and how can they be addressed?

Professionals working with remote supercomputers often encounter challenges such as network latency, data transfer bottlenecks, and the need for efficient job scheduling. To address these, it's important to familiarize yourself with optimized data management practices and use appropriate file transfer tools. Additionally, collaborating closely with system administrators and leveraging user support resources can help resolve technical issues quickly. Staying updated on best practices and system upgrades is also key to maintaining productivity in this dynamic environment.

What are remote supercomputers?

Remote supercomputers are powerful computing systems that can be accessed and operated over the internet or a network, rather than requiring physical presence at their location. These systems allow researchers, scientists, and engineers to run complex simulations, analyze large datasets, and perform high-performance computations from anywhere in the world. Remote access to supercomputers is typically managed through secure protocols, specialized software, and user authentication to ensure data security and efficient resource allocation. This setup enables collaboration across institutions and accelerates scientific discovery by making advanced computational resources more widely available.

What is the difference between Remote Supercomputer vs Remote Data Scientist?

AspectRemote SupercomputerRemote Data Scientist
Required CredentialsAdvanced degrees in computer science, high-performance computing certificationsDegree in data science, statistics, or related fields; certifications like CAP or Microsoft Certified Data Scientist
Work EnvironmentAccess to high-performance computing clusters, specialized hardwareData analysis platforms, cloud services, programming environments
Industry UsageResearch institutions, scientific computing, large-scale simulationsTech companies, finance, healthcare, marketing analytics
Common Search/ComparisonHigh-performance computing roles, supercomputing jobsData analysis roles, machine learning jobs

Remote Supercomputers focus on managing and utilizing high-performance computing resources for complex simulations and research, requiring specialized technical skills. Remote Data Scientists analyze large datasets using statistical and machine learning techniques, often leveraging cloud platforms. While both roles involve advanced technical expertise, they serve different industry needs and environments.

More about Remote Supercomputer jobs
What cities are hiring for Remote Supercomputer jobs? Cities with the most Remote Supercomputer job openings:
What are the most commonly searched types of Supercomputer jobs? The most popular types of Supercomputer jobs are:
What states have the most Remote Supercomputer jobs? States with the most job openings for Remote Supercomputer jobs include:
Infographic showing various Remote Supercomputer job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Part Time, 2% Temporary, and 21% Contract. Highlights an 100% Hybrid job distribution.
Director, Rack Systems Planning- Data Center GPU

Director, Rack Systems Planning- Data Center GPU

Advanced Micro Devices, Inc

Santa Clara, CA • On-site, Remote

Full-time

Posted 3 days ago


Advanced Micro Devices rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

53rd of 137 rated electronics manufacturers


Job description


WHAT YOU DO AT AMD CHANGES EVERYTHING 

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.  Together, we advance your career.  



THE TEAM:

AMD's Data Center GPU organization is transforming the AI and HPC landscape. Our mission is to design and market exceptional products—anchored by our Instinct™ GPU portfolio—that power the next generation of computing in enterprise data centers, cloud, and supercomputing environments. If you’re excited by AI disruption and want to be part of building something big, join us.

THE ROLE:

Lead rack systems planning across internal stakeholders; key component vendors and ODM partners. You will drive demand and supply alignment for rack programs, orchestrate cross-BU and engineering collaboration on rack-scale critical BOM components, build trusted relationships with ODM partners, and support development and execution of partner contractual agreements that translate plans into reliable delivery.

KEY RESPONSIBILITIES:

Demand & supply alignment with rack partners

  • Own the integrated planning view for rack systems across all rack partners: demand signals, build/ship plans, constraints, and risks.
  • Establish a repeatable operating cadence (forecasts, allocation discussions, change control, escalation) so partner plans stay aligned with BU priorities and customer commitments.
  • Translate partner and program status into clear leadership visibility (green/yellow/red, decisions required)

Rack-scale critical BOM — cross-BU and engineering collaboration

  • Drive cross-functional and cross-BU collaboration to identify, prioritize, and manage rack-scale critical BOM items (e.g., mechanical/electrical integration points, cable/cartridge-class dependencies, CPU/NIC adjacencies, and other shared commodities as defined by the program).
  • Ensure one coherent plan across engineering, platform teams, and supply partners: ownership, timelines, alternates, and risk mitigations.
  • Partner with supply chain / operations counterparts to connect technical choices to buildable, shippable outcomes.

ODM partner relationships

  • Build and sustain strong, executive-trust relationships with ODM partners (e.g., planning leads, program management, operations).
  • Represent the BU as a credible planning counterpart: prepared, consistent, and focused on predictable execution.

Partner agreements — development and execution

  • Partner with Business Development, Legal, and Finance as needed to shape contractual frameworks that reflect planning realities (capacity, flexibility, milestones, liability/guardrails as applicable).
  • Support negotiation inputs (assumptions, scenarios, operational terms) and drive post-signature execution discipline: what gets tracked, how variances are managed, and how disputes are escalated.
  • Ensure contract intent shows up in weekly/monthly operating mechanisms, not only in documents.

Leadership & enablement

  • Define metrics, dashboards, and review forums appropriate for rack planning maturity.
  • Mentor and develop direct or matrix partners; scale the model as headcount allows.

REQUIRED QUALIFICATIONS:

  • Bachelor’s degree in Engineering, Business, Operations, Supply Chain, or related field (or equivalent experience); advanced degree a plus.
  • Deep experience in hardware program management, supply planning, ODM/JDM engagement, or data center / server platform operations.
  • Demonstrated success aligning demand and supply across external manufacturing partners in complex, multi-SKU environments.
  • Proven ability to drive cross-organizational execution (engineering + operations + business stakeholders) on technical dependencies and delivery commitments.
  • Experience contributing to commercial agreements (SOWs, supply agreements, statement of work changes, operational exhibits)—partnership with Legal/BD expected; you are not required to be an attorney.
  • Excellent communication, negotiation support, and executive storytelling.

PREFERRED QUALIFICATIONS:

  • Direct experience with rack-scale GPU/AI infrastructure, hyperscale deployment models, or accelerated computing platforms.
  • Familiarity with NPI ramp, commodity constraints, and configuration management across partner builds.
  • Prior people leadership or sustained matrix leadership across multiple partners and internal teams.

LOCATION:

San Jose, CA  preferred but open to remote for the right candidate

This role is not eligible for visa sponsorship.

#LI-RW1

#LI-HYBRID



Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Qualifications:

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Education:UNAVAILABLEEmployment Type: FULL_TIME