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Hpc Performance Engineer Jobs in Oregon (NOW HIRING)

Senior Deep Learning Tools Engineer - CUDA Tile

OR ยท On-site +1

$104K - $143K/yr

... HPC workloads Analyze performance trends over time and identify regressions, bottlenecks, and ... programming skills in Python (C++ is a plus) Experience with CI/CD systems and automation ...

Senior Engineer - Quantum Error Correction Libraries

OR ยท On-site +1

$122K - $161K/yr

... HPC and GPUs to the quantum computing ecosystem. If you are passionate about developing high-performance software and want to help us build libraries to significantly accelerate research and ...

As a Global Resolution Engineer (GRE) - Networking SME at WEKA, you will serve as a top-tier technical escalation resource with deep specialization in networking for high-performance computing (HPC ...

Senior Fortran Compiler Engineer

OR ยท On-site +1

$104K - $143K/yr

NVIDIA's HPC compiler group wants to hire a Fortran compiler developer to join the team building ... If you want a front-row seat to state of the art compiler development for high-performance ...

NVIDIA's HPC compiler group wants to hire a Fortran compiler developer to join the team building ... If you want a front-row seat to state of the art compiler development for high-performance ...

Senior Computational Engineer

Portland, OR ยท On-site

$110K - $152K/yr

Own the CFD-based performance validation process for optimized marine system designs, including ... Run simulation workflows on on-premises and cloud-based HPC systems. * Improve team velocity by ...

NVIDIA's HPC compiler group wants to hire a Fortran compiler developer to join the team building ... If you want a front-row seat to state of the art compiler development for high-performance ...

Showing results 41-60

Hpc Performance Engineer information

What is an HPC performance engineer?

HPC Performance Engineers are specialists who focus on optimizing the performance of high-performance computing (HPC) systems and applications. They analyze system bottlenecks, tune software and hardware configurations, and work with researchers and developers to ensure applications run efficiently on supercomputers or large computing clusters. Their work is essential for maximizing computational resources and improving the speed and scalability of scientific, engineering, or data-intensive workloads.

What are the key skills and qualifications needed to thrive as an HPC performance engineer?

To thrive as an HPC Performance Engineer, you need a strong background in computer science or engineering, with expertise in parallel programming, high-performance computing architectures, and performance analysis. Familiarity with tools like MPI, OpenMP, profiling software (e.g., Intel VTune, GNU gprof), and experience with job schedulers and Linux systems are essential. Analytical thinking, problem-solving, and effective communication are crucial soft skills for identifying bottlenecks and collaborating with multidisciplinary teams. These skills are vital for optimizing computational workflows, maximizing resource utilization, and driving efficiency in complex HPC environments.

What are the typical challenges HPC performance engineers face when optimizing large-scale computational workloads?

HPC Performance Engineers often encounter challenges such as identifying bottlenecks in parallel code, managing resource contention, and optimizing data movement across distributed systems. They must balance maximizing throughput with minimizing latency, all while ensuring applications scale efficiently as cluster sizes grow. Collaboration with software developers, system administrators, and research teams is common to align application requirements with hardware capabilities and to implement effective performance improvements.

What is the difference between Hpc Performance Engineer vs Hpc System Administrator?

AspectHpc Performance EngineerHpc System Administrator
Primary FocusOptimizing HPC system performance and efficiencyManaging and maintaining HPC infrastructure
Skills & CertificationsPerformance tuning, parallel computing, Linux, scriptingSystem setup, network management, user support
Work EnvironmentResearch labs, data centers, high-performance computing facilitiesData centers, IT departments, research institutions
Common TasksPerformance analysis, bottleneck resolution, code optimizationSystem installation, user account management, hardware troubleshooting

The Hpc Performance Engineer focuses on enhancing system performance and efficiency, often working on optimization and tuning. In contrast, the Hpc System Administrator manages the day-to-day operation and maintenance of HPC systems. Both roles are essential in high-performance computing environments but serve different core functions.

What cities in Oregon are hiring for Hpc Performance Engineer jobs?

Cities in Oregon with the most Hpc Performance Engineer job openings:

Senior Manager - AI Network Engineering

Salem, OR โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

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


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 OCIโ€™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

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