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Software Engineer - Machine Learning

5.00 to 7.00 Years   Hyderabad   29 Dec, 2020
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryConsumer Durables / Electronics
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Xilinx is looking for a talented individual to join the Machine Learning team of Data Center Solutions group in the position of SW Engineer. This is an opportunity to develop optimized ML library for Xilinx s 7nm Versal devices targeting AI Engine cores. You will be working with state-of-the-art machine learning algorithms and architecting the realization of these algorithms on AI Engine cores. Hands-on experience with multicore processor programming and C/C++ code optimization for VLIW DSP processors are essential requirements for this position. A strong knowledge of converting floating-point algorithms to fixed-point arithmetic is a must. Hands-on experience with FPGA design flows, FPGA architecture, system design, system integration, DDR memory interfaces and realizing high-performance FPGA-optimized designs and verification methodologies are also critical for the position.Key Responsibilities

  • Responsible for design, optimization and testing of ML compute processing like 2D/3D convolutions, batch normalization, pooling etc and fixed precision implementation and test with Python, embedded C/C++
  • Optimized ML library development and testing for VLIW-SIMD processors in fixed point int4, int8, int16 and floating point.
  • Work closely with algorithm and design teams in US, Europe and India offices.
  • Candidate will participate in different phases of a project, including architecture, system design, coding, unit testing, integration and maintenance and customer support.
  • Create internal and external facing detailed documentation (micro-architecture design documents, test specifications, test reports, user guides, etc.)
Technical Skill Requirements
    • PhD or MSEE preferred.
    • 5+ years of experience working on optimized library development for GPU and/or SIMD and VLIW processor architectures.
    • Experience in partitioning problems for execution on a multicore processor system with latency, bandwidth and memory utilization tradeoffs.
    • Proficient in C/C++, Python and various ML frameworks like TensorFlow, PyTorch etc.
    • Must have strong competency in understanding and analyzing complex signal processing and computer vision algorithms.
    • Ability to translate a compute algorithm into fixed point hardware implementation.
    • Excellent written and verbal communication skills in English.
    • Experience in creating internal and customer facing detailed documentation
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Keyskills :
javasqljavascriptsql serverjquerybig datafpga designunit testingsystem designcomputer visionmachine learningsignal processing

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