• Software Tools Infrastructure Architect Jobs in United States Of America - 25329751

  • Nvidia Graphics Pvt Ltd
  • United States Of America, Usa
  • Save Job
  • 0 - 3 Years
  • Posted : above 1 month

Job Description:

We are now looking for a New College Grad to join our Software Tools Infrastructure Architecture group in 2020!

A key part of NVIDIAs strength is our unique, advanced, development tools and environments that enable our incredible pace of delivering new technology to market We are looking for hard-working, and creative people who passionate about joining a dynamic agile software team with high production quality standards that can help across our infrastructure The roles below offer the opportunity to play a critical part in every stage of development of GPU technology, and to learn and improve the daily workflows of the worlds top chip designers and to apply machine and deep learning to every part of our chip development pipeline All of our roles require Excellent interpersonal skills and flexibility/adaptability for working in a dynamic environment with different frameworks and requirements

GPU C DEVELOPMENT TOOLS ARCHITECT

Our work includes developing chip definition languages, compute infrastructure for large scale distributed runs of critical applications and simulations, building integrated development and debugging environments In this position, you will develop the core infrastructure for modeling, simulation, analysis, and debugging in the development of large-scale, general-purpose graphics and computing chips Our C infrastructure enables our driver stack, applications, tests, and studies to run unchanged on all functional, diagnostic, and performance models, and on simulations, emulations, and silicon for all of our graphics chips

What we need to see

Strong C programming capability required (experience with STL and/or boost a plus)
Knowledge of object oriented design patterns required
Experience with chip and/or system simulation a huge plus
Strong scripting skills desired
Graphics or CUDA knowledge a plus
Experience with OpenGL, Direct3D, CUDA APIs a plus

GPU DEEP LEARNING DEVELOPMENT TOOLS ARCHITECT

We are building a new computing model and environment through deep learning and are evolving the modeling, analysis, and debugging in the development of large scale general purpose AI, Graphics and Computing chips This infrastructure enables scalable and distributed deep learning on our own super computer You will work closely with the NVIDIA software stack for GPU-accelerated machine learning and deep learning, developing and leveraging some of the most powerful GPU compute clusters, and workflows running on them

What we need to see

Excellent knowledge of object oriented design pattern
Distributed systems programming
Strong scripting skills required Perl or Python preferred
Background and prior experience with machine learning algorithms
Familiarity with deep learning frameworks such as Caffe, Theano, Torch, TensorFlow
Familiarity with CUDA or OpenCL APIs

GPU APPLIED DEEP LEARNING DEVELOPMENT ARCHITECT

We are looking for GPU-accelerated deep learning experts to apply deep learning techniques to problems in our workflows for developing AI, Graphics and Computing chips This involves learning the core infrastructure being improved, current methods, and then proposing or improving deep learning techniques You will want to have an interest in one of our other key areas such as HPC computing, metrics, build and release, modeling tools or simulation toosl, or application or chip performance analysis

What we need to see

Excellent knowledge of object oriented design pattern
Strong scripting skills required Perl or Python preferred
Background and prior experience with machine learning algorithms
Expertise with deep learning frameworks such as Caffe, Theano, Torch, TensorFlow
Expertise with CUDA or OpenCL APIs

SYSTEMS INFRASTRUCTURE CHIP DEVELOPMENT ENVIRONMENT ARCHITECT

We are evolving the core build, simulation, verification and release pipeline for the development of our AI, grahics, discrete graphics, computing and SOC chips This strongly Object Oriented Perl/Python and Java/C infrastructure encompasses several extensive proprietary applications that allow us to efficiently verify the worlds largest chips with a sophisticated distributed computing execution and triage environment

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : IT-Hardware/Networking, Telecom
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 06th Jun 2020

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