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High Performance Computing Hpc Analyst Jobs in Salem, OR

... Cloud computing . We work along with its clients to deliver high-performance results, based ... or analyzing information systems. 2 years of professional experience using ASP.NET with C#.

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High Performance Computing Hpc Analyst information

See Salem, OR salary details

$27.6K

$75.6K

$129.1K

How much do high performance computing hpc analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for high performance computing hpc analyst in Salem, OR is $75,567.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,300.00 and $90,000.00 per year, depending on experience, location, and employer.

What does a high performance computing HPC analyst do?

A High Performance Computing (HPC) Analyst is responsible for managing, optimizing, and supporting high-performance computing systems used in research, engineering, and data-intensive applications. Their work includes configuring hardware and software for clusters or supercomputers, troubleshooting system issues, and assisting users in running complex computational jobs efficiently. They also monitor system performance, recommend upgrades, and help ensure security and data integrity within HPC environments. HPC Analysts often collaborate with researchers and IT staff to achieve optimal performance for scientific or business computing tasks.

What are the key skills and qualifications needed to thrive as a high performance computing HPC analyst?

To thrive as a High Performance Computing (HPC) Analyst, you need a solid background in computer science, mathematics, or engineering, with expertise in parallel programming and Linux-based systems. Familiarity with technical tools such as MPI, OpenMP, job schedulers (like Slurm), and experience with various HPC architectures is typically required, and certifications in cloud or HPC systems can be advantageous. Strong problem-solving abilities, communication skills, and the capacity to work collaboratively with researchers and IT professionals are standout soft skills. These competencies are essential to efficiently optimize computational resources, troubleshoot issues, and enable groundbreaking research or data analysis in high-demand environments.

What are some common challenges faced by high performance computing HPC analysts when supporting users and systems?

High Performance Computing Analysts often encounter challenges such as troubleshooting complex hardware and software issues, optimizing application performance, and managing resource allocation for multiple users. Balancing the needs of researchers while maintaining system stability and security can be demanding, especially as workloads and technologies rapidly evolve. Additionally, effective communication with users from diverse scientific backgrounds is crucial to understand their requirements and provide tailored support.

What is the difference between High Performance Computing Hpc Analyst vs Data Analyst?

AspectHigh Performance Computing (HPC) AnalystData Analyst
Required CredentialsBachelor's degree in Computer Science, IT, or related field; certifications in HPC or related technologiesBachelor's degree in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentResearch labs, data centers, or IT departments focusing on large-scale computingBusiness, finance, healthcare, or marketing environments analyzing datasets
Employer & Industry UsageTech companies, research institutions, government agenciesCorporate sectors, consulting firms, healthcare providers

The main difference is that HPC Analysts focus on managing and optimizing high-performance computing resources for complex simulations and large datasets, while Data Analysts interpret data to generate insights for decision-making. HPC Analysts require specialized knowledge of computing infrastructure, whereas Data Analysts focus more on data visualization and statistical analysis.

Infographic showing various High Performance Computing Hpc Analyst job openings in Salem, OR as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 2% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $75,567 per year, or $36.3 per hour.

Senior Manager - AI Network Engineering

Salem, OR • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

  • Job Identification 343790
  • Job Category Product Development
  • Posting Date 09/01/2026, 11:45 PM
  • Role People Manager
  • Job Type Regular Employee
  • Does this position require a security clearance? No
  • Years 10+ years
  • Applicants are required to read, write, and speak the following languages English
Job Description

Manage a team that designs, develops, troubleshoots and debugs software programs for databases, applications, tools, networks etc.

Responsibilities
  • Lead the end-to-end NPI lifecycle for current and next-generation high-performance NICs supporting OCI GPU and AI infrastructure, including architecture, qualification, performance, reliability, and production readiness.
  • Partner with NIC, GPU, silicon, and systems vendors and internal OCI teams to bring new networking technologies from early development through large-scale fleet deployment.
  • Build and lead the engineering organization responsible for OCI’s Collective Communication Library (CCL), defining its architecture, technical strategy, and performance roadmap.
  • Drive optimization of collective communication, RDMA, GPU networking, and topology-aware algorithms across servers, racks, clusters, and AI superclusters.
  • Own GPU cluster networking performance and develop benchmarking, modeling, and performance-analysis capabilities to identify and eliminate hardware and software bottlenecks.
  • Drive hardware/software co-design across NICs, firmware, drivers, network fabrics, runtimes, and collective communication software.
  • Establish automated qualification, regression, performance, reliability, and fault-testing processes to ensure cloud-scale production readiness.
  • Build and develop a high-performing engineering organization spanning NIC NPI, networking software, collective communications, systems, performance engineering, and validation.
  • Lead complex cross-functional programs, establish technical roadmaps and engineering metrics, manage external technology partnerships, and communicate technical strategy, risks, and results to senior OCI leadership.
Qualifications
  • BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
  • 15+ years of experience in systems, networking, distributed computing, HPC, GPU infrastructure, or related areas.
  • Significant experience leading engineering teams responsible for complex hardware/software systems.
  • Deep expertise in high-performance networking, including Ethernet, RDMA, RoCE, PCIe, DMA, and modern NIC architectures.
  • Strong knowledge of GPU systems, distributed GPU communication, collective communication algorithms, and large-scale distributed training or HPC systems.
  • Experience taking new hardware technologies from early engineering stages through qualification and large-scale production deployment.
  • Strong systems performance-analysis skills across hardware, firmware, operating systems, networking, runtimes, and applications.
  • Experience working with silicon vendors and leading complex cross-functional engineering programs.
  • Excellent technical and executive communication skills.
  • Experience with technologies such as NCCL, MPI, UCX, RDMA, RoCEv2, GPUDirect RDMA, CUDA, SmartNICs/DPUs, NIC firmware/drivers, congestion control, and large-scale AI cluster networking is highly desirable. Experience with GPU clusters containing thousands to tens of thousands of accelerators is strongly preferred.
Qualifications

Disclaimer:
Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from: $169,800 to $355,400 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

  • Medical, dental, and vision insurance, including expert medical opinion
  • Short term disability and long term disability
  • Life insurance and AD&D
  • Supplemental life insurance (Employee/Spouse/Child)
  • Health care and dependent care Flexible Spending Accounts
  • Pre-tax commuter and parking benefits
  • 401(k) Savings and Investment Plan with company match
  • Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
  • 11 paid holidays
  • Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
  • Paid parental leave
  • Adoption assistance
  • Employee Stock Purchase Plan
  • Financial planning and group legal
  • Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - M3

About Us

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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law.

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