Base Pay Range: $94,400.00 - $160,500.00 Annually
Primary Location: USA-MI-Ann Arbor-KLA
KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below. Interns are eligible for some of the benefits identified below. Our pay ranges are determined by role, level, and location. The range displayed above reflects the minimum and maximum pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including location, job-related skills, experience, and relevant education level or training. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
Company OverviewKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
Job Description/Preferred QualificationsResponsibilities for this exciting role will include:
Design, implementation & support of high-performance compute clusters
Solid knowledge on HPC systems, including CPU/GPU architecture, scalable/robust storage, high-bandwidth inter-connects, and a knowledge of cloud-based computing architectures
Ability to do the deep dive to find and resolve processing efficiencies and drive optimizations to improve utilization of the cluster. This may include addressing Job scheduling improvements, infrastructure optimizations, algorithm code optimizations, vector processing, parallel processing, data transfer timing analysis and evaluating the detailed timing of cluster operation.
Use their strong skills with the Linux OS to configure appropriate operating systems for the HPC system
Understand and assemble the project specifications and performance requirements at the subsystem and system levels. Adhere and drive to project timelines to ensure program achievements complete on time.
Support design and release of new products to manufacturing and ultimately the customer, providing quality golden images, procedures, scripts and documentation to the manufacturing team and customer support team.Qualifications/Education Desired Demeanor:
Looking for individuals who are inquisitive, thrives on challenge, enjoy problem solving and have excellent written & verbal skills.Required Qualifications:
Validated in-depth and flavor agnostic knowledge of Linux systems (SuSE, RedHat, Rocky, Ubuntu)
In depth knowledge of parallel programming, vector-based processing, distributed computing, code optimization on CPU and GPUs
Experience in vector processing and multi-threading related technologies & libraries such as (SIMD, AVX, IPP, MKL, openCV, openMP, OpenCL, MPI, TBB, CUDA)
Knowledge of performance profilers such as Intel vTune, Nvidia Nsight compute, AMD uProf, perf, as well as using custom profiling and telemetry tools to identify pinch points. Have the coding skills to implement parsing utilities and graphing functions to allow visualization of the performance data.
Knowledge of HPC job schedulers and how they function.
Ability to find bottlenecks and drive closure of them whether it is in data movement, code execution timing or job scheduling optimization.
Strong HPC HW knowledge especially in the server, GPU, networking, Storage, BIOS & BMC arenas.
Ability to code and develop Shell and Python scripts for developing test environmentsPreferred Qualifications:
Kubernetes, Harbor, Prometheus & Grafana experience
BS or MS degree + 3 to 5 years validated experience
Computer Engineering or Electrical Engineer related fieldsSkills and Abilities:
Team Orientation & Interpersonal - Highly motivated teammate with ability to develop and maintain collaborative relationships with all levels within and external to the organization.
Organization & Time Management - Able to plan, schedule, organize, and follow up on tasks related to the job to achieve goals within or ahead of established time frames.
Multi-task - Ability to expeditiously organize, coordinate, manage, prioritize, and perform multiple tasks simultaneously to swiftly assess a situation, determine a logical course of action, and apply the appropriate response.
Adaptability to Change - Able to be flexible and supportive, and able to assimilate change positively and proactively in rapid growth environment.
Outstanding teammate with excellent written and verbal communications skills.
Minimum Qualifications
Typically requires a Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years
The company offers a total rewards package that is competitive and comprehensive... For full info follow application link.
KLA-Tencor is an Equal Opportunity Employer. Applicants will be considered for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristics protected by applicable law.