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Lead Machine Learning Software Engineer

Lead Machine Learning Software Engineer

Silicon LabsHyderabad
30+ days ago
Job type
  • Full-time
Job description

We are Silicon Labs. We are a leader in secure, intelligent wireless technology for a more connected world. Our integrated hardware and software platform, intuitive development tools, unmatched ecosystem and robust support make us the ideal long-term partner in building advanced industrial, commercial, home and life applications. We make it easy for developers to solve complex wireless challenges throughout the product lifecycle and get to market quickly with innovative solutions that transform industries, grow economies and improve lives.

Meet the Team

  • We are looking for a machine learning software engineer for our embedded machine learning team. This is an excellent opportunity to enable smart IOT products using edge-based machine learning.
  • Opportunity to define, develop and build next generation multi-modal machine learning enabling devices in IoT space.
  • As a member of team you will be working on developing smart IoT devices for Industrial and smart home applications

Responsibilities

  • Implementation of Machine learning POCs on embedded platform
  • Algorithmic and functional optimization of machine learning algorithms
  • Optimization of machine learning modules and functions on target platform
  • Working closely with hardware to evolve next generation machine learning architecture and platforms.
  • Contribution towards overall software design and architecture

    • Skills You Will Need

  • Master’s or bachelor’s degree from a reputed university with 7-9 or 8-10 years industry experience respectively
  • Good knowledge of state-of-the-art machine learning algorithms
  • Excellent C and C++ programming skills
  • Knowledge of embedded DSP architectures and accelerators
  • Knowledge of any of following ML frameworks : TensorFlow, TensorFlow lite or Tvm
  • Knowledge of Jenkins or any other CI / CD pipeline
  • Providing technical leadership to junior members

    • Benefits & Perks

    Not only will you be joining a skilled and nimble team where every person makes a significant impact on the broader organization, we also strive for good work / life balance and to make our environment welcoming and fun.

  • Equity Rewards (RSUs)
  • Employee Stock Purchase Plan (ESPP)
  • Insurance plans with Outpatient cover
  • National Pension Scheme (NPS)
  • Flexible work policy
  • Childcare support