Description
About the company:
Location: - Chennai
Team Strength- 15K+ people
About the Company: KLA 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.
About the position:
Designation: HPC Systems R&D Engineer
Experience required- 2-14 yrs
Reporting To: manager
Vacancy: 1
Work Location: Chennai
Work from office 3 days work from office
Interview Process: 5 rounds, HR
Relocation Expenses: Yes
IC role.
Reporting to R&D Director
Job Summary:
KLA’s AI Advanced Computing Labs is looking for an extraordinary HPC System R&D Engineer to join its team to develop system-level HPC technologies that would form the foundation of next-generation clusters used in KLA tools that leverage AI to push the boundaries of process control for conductor manufacturing.
The technologies would be developed and demonstrated on on-prem clusters that serve as testbeds for next-generation KLA tools.
Your Day-to-day Roles
Expose limitations in existing solutions, based on clusters of CPUs & GPUs, to deploy AI-based solutions on on-prem & cloud infrastructures at scale.
Develop distributed frameworks and system-level solutions that enable scaling out image processing & AI loads from single GPU to multi-node clusters with multiple GPUs.
Install, benchmark, and evaluate pre-release hardware for early-stage evaluation and prototyping by identifying (or developing) relevant workloads.
Your Expected Background
Masters / PhD in Computer Science or related fields; bachelors degree holders with relevant experience and extraordinary track-record will also be considered.
Deep understanding of operating systems, computer networks, and high performance applications
Good mental model of the architecture of a modern distributed systems that is comprised of CPUs, GPUs, and accelerators.
Experience with deployments of deep-learning frameworks based on TensorFlow, and PyTorch on large-scale on-prem or cloud infrastructures.
Strong background in modern and advanced C++ concepts
Strong Scripting Skills in Bash, Python, or similar.
Good communication.
Experience with model development on DL frameworks such as TensorFlow, and PyTorchExperience with building open-source operating systems and software stack on pre-release hardware.
Solid understanding of container infrastructure such as Docker or singularity, and Kubernetes.
Active participation in C++ standards bodies or similar
Must-Haves :
PhD+ 0 years - If candidate is a Phd only then look for a fresher
Min + 3 years experience if the candidate is a M.tech/MS.
Min 5+ years experience if B.tech / BE.
Education preferably from Computer Science major
Research background is highly preferable.
HPC or High performance computing (Software/Hardware) who has handled Servers.
Must have experience in - C++ ,CPU/GPU architecture, Optimization, Parallel computing programming
Additional Guidelines :
This is not a HPC admin role. Please look for candidates with experience in HPC Software side.
Look for candidates Only from Tier 1 college like IIT, IISC,IIIT or Masters/PhD in US.
Joining Bonus, Stocks apart from Salary.