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Remote High Performance Computing Jobs in Phoenix, AZ

Cloud Solutions Architect

Phoenix, AZ ยท Remote

$110K - $120K/yr

AHCCCS employees are passionate about their work, committed to high performance, and dedicated to ... Cloud computing technologies and current computing trends Technical expertise in the Azure cloud ...

Sales Executive - Remote

Phoenix, AZ ยท Remote

$65K - $125K/yr

You will join a dynamic, remote team that values integrity, resilience, and high performance. Key responsibilities include: * Engaging B2B prospects through a high volume of outbound phone calls to ...

Sales Executive - Remote

Phoenix, AZ ยท Remote

$65K - $125K/yr

You will join a dynamic, remote team that values integrity, resilience, and high performance. Key responsibilities include: * Engaging B2B prospects through a high volume of outbound phone calls to ...

AI Consulting Expert - Remote

Phoenix, AZ ยท Remote

$100 - $200/hr

Annotate data, interpret findings, and perform fact-checking to ensure high-quality content ... Provide actionable feedback and recommendations to improve AI model performance. * Collaborate ...

Principal Digital Design Engineer

Chandler, AZ ยท On-site +1

$200K - $250K/yr

... high-performance chips get powered, paving the way for the next generation of AI and advanced ... computing. About the Role We are seeking a highly skilled and hands-on Principal Digital Design ...

High Ticket Sales Director

Phoenix, AZ ยท Remote

$120K - $250K/yr

WFS Group is a fast paced, high performance sales agency that provides what is referred to as "done ... Managing Top Performing Fully Remote Sales Teams! Position Overview: As an outsourced sales company ...

The Performance Marketing Designer is a high-impact direct response design position on the Creative ... Ability to produce high volumes of work efficiently in a remote team-oriented environment.

Showing results 21-40

Remote High Performance Computing information

See Phoenix, AZ salary details

$32.3K

$67.8K

$111.2K

How much do remote high performance computing jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote high performance computing in Phoenix, AZ is $67,765.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,600.00 and $82,400.00 per year, depending on experience, location, and employer.

What is the difference between Remote High Performance Computing vs Remote Data Scientist?

AspectRemote High Performance ComputingRemote Data Scientist
Required CredentialsAdvanced degrees in Computer Science, Engineering, or related fields; experience with HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; proficiency in programming languages
Work EnvironmentAccess to supercomputers, clusters, or cloud HPC resources; collaborative teamsData analysis environments, cloud platforms, and programming tools; often collaborative
Industry UsageResearch institutions, scientific computing, engineering simulationsTech companies, finance, healthcare, research

Remote High Performance Computing specialists focus on managing and utilizing supercomputing resources for complex simulations and data processing. Remote Data Scientists analyze large datasets to extract insights. While both roles require programming skills and advanced degrees, HPC roles emphasize system management and computational efficiency, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a remote high performance computing specialist, and why are they important?

To thrive as a Remote High Performance Computing (HPC) Specialist, you need expertise in parallel computing, cluster management, and strong programming skills in languages such as Python, C/C++, or Fortran, often backed by a degree in computer science or a related field. Familiarity with HPC job schedulers (like SLURM or PBS), cloud platforms, and Linux-based systems, as well as relevant certifications, is highly valuable. Strong problem-solving abilities, effective communication, and the capacity to work independently are crucial soft skills in remote environments. These competencies ensure efficient deployment, management, and troubleshooting of complex HPC resources while supporting diverse user needs from a distance.

What is remote high performance computing?

Remote High Performance Computing (HPC) refers to the use of powerful computing resources and clusters that are accessed over the internet or a network, rather than being located locally. This setup allows researchers, engineers, and organizations to perform complex computations, simulations, and data analysis from anywhere, without the need for on-site supercomputers. Remote HPC enables scalability, flexibility, and cost-effectiveness by allowing users to leverage shared resources, often provided by cloud service providers or specialized data centers.

How does a remote high performance computing professional typically collaborate with research teams and IT staff?

Remote HPC professionals often work closely with research scientists, data analysts, and IT administrators to ensure computational resources are efficiently allocated and optimized for large-scale projects. Collaboration usually happens through virtual meetings, ticketing systems, and shared documentation platforms, requiring strong communication and problem-solving skills. Daily tasks may involve troubleshooting user issues, managing job scheduling, and maintaining cluster performance, all while coordinating with geographically dispersed teams. This dynamic environment fosters continuous learning and exposure to cutting-edge scientific and technical applications.

What are the most commonly searched types of High Performance Computing jobs in Phoenix, AZ?

The most popular types of High Performance Computing jobs in Phoenix, AZ are:

What are popular job titles related to Remote High Performance Computing jobs in Phoenix, AZ?

For Remote High Performance Computing jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Remote High Performance Computing jobs in Phoenix, AZ look for?

The top searched job categories for Remote High Performance Computing jobs in Phoenix, AZ are:

Sr High-Speed SerDes Design Engineer (Remote)

Encore Semi, Inc.

Chandler, AZ โ€ข Remote

$135K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Sr High-Speed SerDes Design Engineer (Remote)
Full-Time: Competitive Salary + Benefits + Bonuses | Contractor Opportunities Available
Work Authorization: US Citizen or Lawful Permanent Resident
Location: 100% Remote (Anywhere in the USA)
We are looking for a Sr High-Speed SerDes Design Engineer who enjoys solving some of the toughest challenges in analog/mixed-signal IC design. If you have hands-on experience designing high-speed SerDes, PLLs, TX/RX data paths, and have worked through the realities of advanced process nodes (5nm and below), we would love to connect.
You will be part of a highly skilled engineering team developing next-generation high-performance silicon where speed, power, jitter, and reliability matter.
Required Qualifications
BS, MS, or PhD in Electrical Engineering or a related discipline.
8+ years of hands-on analog/mixed-signal IC design experience.
Strong expertise in the design of High-Speed SerDes, including PLLs, TX/RX circuits, CDRs, clock generation, and high-speed analog interfaces.
Proven transistor-level circuit design experience from architecture through silicon validation.
Successful tapeout experience in advanced CMOS process technologies (FinFET and 5nm beyond preferred).
Experience working with one or more leading semiconductor foundries.
Proficiency with industry-standard analog and mixed-signal IC design, simulation, verification, and physical verification EDA tools.
Strong understanding of signal integrity, jitter analysis, power optimization, and high-speed circuit design techniques.
Preferred Qualifications
Experience with silicon bring-up, characterization, and post-silicon debug.
Familiarity with high-speed interface standards such as PCIe, Ethernet, CXL, USB, MIPI, DDR, HBM, UCIe, or similar protocols.
Experience collaborating with cross-functional teams including Layout, Digital Design, Physical Design, Verification, Packaging, Test, and Systems Engineering.
Excellent problem-solving, communication, and technical leadership skills.
Experience mentoring junior engineers and leading technical initiatives.
Why Join Us
Work on challenging, high-impact silicon designs with a team of engineers who are passionate about pushing the limits of performance and innovation.
If you have designed SerDes at the transistor level and want to work on genuinely hard problems, we’d love to hear from you.
The anticipated annual base salary for this position is between $135,000 to $165,000, which also includes a comprehensive benefits package.
Full-Time Benefits:
• 15 days of PTO per calendar year
• 10 paid Holidays per calendar year
• Comprehensive Medical Benefits: Company covers 80% of premiums for Employee and Dependents
• Dental & Vision: Company covers 50% of premiums for Employee and Dependents
• Voluntary Benefits: Life Insurance, FSA (Health and Dependent, Limited Purpose), HAS, and Gap Insurance
• Employee Assistant Program (EAP)
• 401k - Traditional & Roth
• Life/AD&D and Long-Term Disability
• Tuition reimbursement
Equal Opportunity Policy Statement
Encore Semi, Inc. is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, religion, creed, color, age, sex, sexual orientation, gender, gender identity or expression, national origin, genetics, ancestry, marital status, civil union status, medical condition, disability (mental and physical), military and veteran status, pregnancy, childbirth and related medical conditions, or any other characteristic protected by applicable federal, state, or local laws and ordinances.
Encore Semi is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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