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

7.00 to 12.00 Years   Bangalore   13 Nov, 2020
Job LocationBangalore
EducationNot Mentioned
SalaryRs 30 - 42 Lakh/Yr
IndustryIT - Software
Functional AreaEmbedded / System Software,Embedded, VLSI
EmploymentTypeFull-time

Job Description

Full Stack Engineer - Kernels (Sr. Deep Learning R&D Engineer)Exp: 7-14yrsLocation: Bangalore

  • You will participate in all phases of software development process: designing, developing, debugging, performance optimization and deployment.
  • Deep Learning System SW full stack development and e2e performance profiling, analysis and optimizations for multinode systems.
  • Design and development of kernels / math libraries for high performance.
  • 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 indesign and development of kernels / DSP modules and optimizations.
  • Experience in full stack development and performance engineering including identifying and building tools for performance profiling, analysis and debug is a big plus.
  • 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 :
artificial intelligencec++pythondspdeep learningkernelsdl frameworksdsp optimization

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