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Entry Level High Performance Computing Engineer Jobs

Fermilab

Quantum Computing Engineer I

Batavia, IL · On-site

$79K - $104K/yr

SQMS is seeking a quantum computing engineer to study device performance and improve measurement ... Synthetizing and analyzing complex high-frequency RF signals for the implementation of quantum ...

Na Oiwi Kane

Computing Specialist

Arlington, VA · On-site

$85K - $93K/yr

Support Program Officers who lead and manage the Navy's High Performance Computing Program. Serve as a primary point of contact for approximately 500 scientists and engineers utilizing Navy HPC ...

Rivet

Computing Specialist

Arlington, VA

$85K - $93K/yr

Support Program Officers who lead and manage the Navy's High Performance Computing Program. Serve as a primary point of contact for approximately 500 scientists and engineers utilizing Navy HPC ...

Rivet

Computing Specialist

Arlington, VA · On-site

$85K - $93K/yr

... High Performance Computing Program. • Serve as a primary point of contact for approximately 500 scientists and engineers utilizing Navy HPC systems. • Establish, manage, and maintain user ...

Rivet

Computing Specialist

Arlington, VA · On-site

$85K - $93K/yr

... High Performance Computing Program. • Serve as a primary point of contact for approximately 500 scientists and engineers utilizing Navy HPC systems. • Establish, manage, and maintain user ...

Fermilab

Quantum Computing Engineer I

Batavia, NY

$79K - $104K/yr

SQMS is seeking a quantum computing engineer to study device performance and improve measurement ... Synthetizing and analyzing complex high-frequency RF signals for the implementation of quantum ...

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Entry Level High Performance Computing Engineer information

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How much do entry level high performance computing engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for entry level high performance computing engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

What is the average salary for an HPC engineer in the US?

The average salary for an entry-level high performance computing (HPC) engineer in the US typically ranges from $70,000 to $90,000 annually, depending on experience, location, and specific technical skills such as parallel programming and cluster management. Salaries tend to increase with expertise in areas like GPU computing, Linux systems, and performance optimization.

What is an Entry Level High Performance Computing Engineer?

An Entry Level High Performance Computing (HPC) Engineer is a professional who assists in designing, building, and maintaining high-speed computing systems used for complex computations and large-scale data analysis. They typically work with supercomputers or computer clusters in fields like scientific research, finance, or engineering. Responsibilities often include configuring hardware, optimizing software, and troubleshooting system issues, usually under the guidance of more experienced engineers. Entry-level engineers may also help monitor system performance and support users in running high-performance applications.

What engineers make $500,000?

High-level engineers in specialized fields such as software engineering, data engineering, or systems engineering can reach salaries of $500,000 or more, especially with extensive experience, advanced skills, and leadership roles. These roles often require expertise in high-demand technologies, certifications, and working in competitive industries or companies with lucrative compensation packages.

What engineers make $300,000 a year?

High-performance computing engineers with extensive experience, advanced skills in parallel programming, and expertise in hardware and software optimization can reach annual salaries of $300,000 or more, especially in senior or specialized roles. Such compensation often reflects leadership responsibilities, advanced certifications, or working in high-demand industries like technology or finance.

Can computer engineers make $500,000?

Entry-level high performance computing engineers typically do not earn $500,000 annually; such salaries are usually associated with senior roles, specialized skills, or leadership positions in the field. High salaries in this area often require extensive experience, advanced certifications, or working in high-demand industries or companies. Most entry-level positions start with lower compensation, but salaries can increase significantly with experience and expertise in areas like parallel computing, GPU programming, or data center management.

What are some common challenges faced by entry level High Performance Computing (HPC) engineers, and how can new hires successfully navigate them?

Entry level HPC engineers often encounter challenges such as working with complex parallel computing architectures, optimizing code for performance, and troubleshooting across large-scale, distributed systems. New hires may also need to quickly learn job-specific tools and adapt to rapidly evolving hardware and software environments. To navigate these challenges, it’s important to proactively seek mentorship, participate in team code reviews, and continuously build your skills through hands-on experience and training opportunities. Open communication and collaboration with experienced team members also play a key role in overcoming technical hurdles and growing within the HPC field.

What is the difference between Entry Level High Performance Computing Engineer vs Entry Level Data Scientist?

AspectEntry Level High Performance Computing EngineerEntry Level Data Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of parallel computingBachelor's in Data Science, Statistics, or related; programming skills in Python/R
Work EnvironmentResearch labs, tech companies, supercomputing centersBusiness, tech firms, research institutions
Industry UsageHigh-performance computing, scientific research, simulationsData analysis, machine learning, predictive modeling

Entry Level High Performance Computing Engineers focus on developing and optimizing computational systems for scientific and technical applications, while Entry Level Data Scientists analyze data to extract insights. Both roles require programming skills and a strong technical background, but they serve different industry needs and environments.

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

To thrive as an Entry Level High Performance Computing Engineer, you typically need a solid background in computer science or engineering, familiarity with parallel computing concepts, and proficiency in programming languages like C/C++ or Python. Experience with Linux environments, HPC cluster management tools, and knowledge of batch schedulers or MPI/OpenMP are often required. Strong problem-solving abilities, teamwork, and effective communication help you excel in collaborating with researchers and technical teams. These skills ensure efficient support and optimization of complex computing systems critical for scientific and technical advancements.
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Entry Level High Performance Computing Engineer jobs near you
High Performance Computing Network Engineer II - 529239

High Performance Computing Network Engineer II - 529239

University of Alabama

Tuscaloosa, AL

$83K - $112K/yr

Other

Posted yesterday

University Of Alabama rating

7.0

Company rating: 7.0 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

355th of 541 rated colleges and universities

Job description

Job no: 529239
Position type: Regular Full-time (Benefits eligible)
Location: Tuscaloosa
Division/Equivalent: Academic Affairs
School/Unit: Academic Affairs
Department/Office: 200706 - OIT-HPC Center Services
Categories: Information Systems/Technology Support, Engineering/Computer Science

Apply now

Pay Grade/Pay Range: Minimum: $83,500 - Midpoint: $112,700 (Salaried E13)

Department/Organization: 200706 - OIT-HPC Center Services

Normal Work Schedule: Monday - Friday 8:00am to 5:00pm

Note to Applicants: Position is eligible for hybrid work subject to University policy. 

Job Summary: The High Performance Computing Network Engineer II performs general network administration tasks for the University's High Performance Computing Center (HPCC) and, as needed, for the University's enterprise wired and wireless networks. Maintains and supports the University's HPCC network equipment and operating systems, including switches, access points, controllers, uninterruptible power supplies, and security devices. Serves as escalation resource for routing, performance, and other network problems. Participates in network problem identification, analysis, and resolution for low- to moderate-complexity problems. Assists with the strategy, planning, and design of the University's HPCC network.

Additional Department Summary: Supports the functionality and availability of UA's HPCC network by performing network engineering and administration independently or as directed. Handles ticket resolution. Manages Layer 2 switch configuration and deployment. Plans and manages the network fiber path. Performs IPAM configurations. Manages network closet UPS. Manages inventory and surplus.

Required Minimum Qualifications: Master's degree and some network engineering experience; OR bachelor's degree and two (2) years of network engineering experience; OR associate's degree and four (4) years of IT experience to include two (2) years of network engineering; OR high school diploma or GED and six (6) years of IT experience to include two (2) years of network engineering.

Additional Required Department Minimum Qualifications: Must have valid U.S. driver's license. Must be at least 19 years of age at time of hire and have an acceptable Motor Vehicle Report that is in compliance with University policies. Applicants under the age of 21 will have some driving restrictions.

Skills and Knowledge: Broad, in-depth knowledge of the TCP/IP protocol suite, specifically relating to routing of IP packets (RIP, OSPF, EGP, BGP, PIM). Knowledge of IP data wired and wireless networks, including architecture, configuration, LAN and WAN protocols, and network security standards. Strong technical troubleshooting skills. Ability to work independently to complete goals. Excellent customer service, interpersonal, and communication skills.

Preferred Qualifications: Master's degree and one (1) year of network engineering experience. CCNA certification. Three (3) or more years of hands-on experience in a High Performance Computer Center with the following hardware/software experience: Cisco's NEXUS Dashboard, Cisco Nexus switches, Cisco Catalyst switches (IOS), Cisco Aironet APs, Cisco wireless controllers, Check Point firewalls, IP address management tools, OSFP/BGP protocols, or Cisco VPN/Anyconnect.

Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background investigation and information obtained from social media and other internet sources. A prior conviction reported as a result of the background investigation DOES NOT automatically disqualify a candidate from consideration for this position. A candidate with a prior conviction or negative behavioral red flags will receive an individualized review of the prior conviction or negative behavioral red flags before a hiring decision is made.

Equal Employment Opportunity: The University of Alabama is an Equal Employment/Equal Educational Opportunity Institution. All qualified applicants will receive consideration for employment or volunteer status without regard to any legally protected basis and will not be discriminated against because of their protected status. Applicants and employees of this institution are protected under Federal law from discrimination on several bases. More information is available in the EEOC's Know Your Rights: Workplace discrimination is illegal poster.

The University of Alabama affirms its longstanding commitment to institutional neutrality, free speech, and academic freedom.

Advertised: Apr 29 2026 Central Daylight Time
Application close: Jun 29 2026 Central Daylight Time

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