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Full Stack Engineer HPC (Sr. Deep Learning R&D Engineer)

7.00 to 14.00 Years   Bangalore   12 Nov, 2020
Peopleplus Professional Services Pvt Ltd
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Description

  • You will be working on cutting edge problems in Deep Learning for SW Stack in a fast paced, dynamic and startup-like environment.
  • You will participate in all phases of software development process: designing, developing, debugging, performance optimization and deployment.
  • In this role you will have the opportunity to develop software for innovative deep learning accelerators
  • Deep Learning System SW full stack development and e2e performance profiling, analysis and optimizations for multinode systems.
  • Design, development and delivery of performance features for distributed deep learning.
  • Design, develop, optimize and validate Deep Learning software stack for distributed systems.
  • Technical leadership to a team of engineers in design, development and delivery
  • Framework/bridge/JIT compiler development and optimizations.
Qualifications:
  • MS or PhD in CS/ECE or related fields with 6+ years of experience, and 3+ years of relevant experience in AI/Deep Learning
  • Proven work experience in Modern C++ (C++11/14/17), minimum of 3 years; exceptional coding and debugging skills
  • Experience in parallel programming and communication collectives for HPC.
  • Experience in full stack development and performance engineering including identifying and building tools for performance profiling, analysis and debug for distributed systems.
  • Knowledge of distributed deep learning and data/model parallelism .
  • Knowledge and experience with graph optimization/graph compiler techniques especially optimizations is a plus.
  • Knowledge and experience in low level programming and optimizations, including parallel/distributed algorithms. Understanding of performance libraries for mathematical operations used in neural networks.
  • Familiarity with Python and C++/Python interoperability
  • Experience with DL frameworks (eg, PyTorch, Tensorflow)
  • Experience in multi-threaded and distributed programming
  • Knowledge of GPGPU programming technologies
,

Keyskills :
qualityvalidationmarketingcustomer relationslow level programmingdata modelingdeep learningneural networkscommercial modelsdesign developmentsoftware developmenttechnical leadershipparallel programmingperformance engineeringoptimization s

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