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Ignitarium Internship Recruitment (Nov-22)

Founded in 2012 and headquartered in Bangalore and with business entities in Kochi and the US, and a business presence in Japan and Europe, Ignitarium is a product engineering company with vast experience in silicon design, system design, embedded software, AI algorithms and enterprise application software. Ignitarium’s design services center focuses on executing projects in VLSI and software domains. Along with its differentiated design services portfolio, Ignitarium also invests in an Innovation R&D centre which focuses on building IPs, platforms and solutions that enable faster time-to-market cycles for our customers in product development.

About Recruitment

  • Ignitarium Internship (9 to 12 months)
  • Eligibility: MTechs (Circuit branches)- CGPA 6.8 plus at all levels
  • Duration: 9 to 12 months
  • Stipend : Rs 20,000/- pm
  • Selection Process: Online test,  Tech / HR interviews.

About our projects

VLSI. In VLSI, Ignitarium would offer projects in the following areas

  • SoC Design and verification
  • Digital IP design and verification
  • FPGA based systems specifically targeted towards AI-ML applications
  • Analog Design and mixed signal simulations

Some examples of the projects successfully completed are

  • Developing an AI inference engine using Xilinx FPGA
  • Developing ACE protocol VIPs
  • Developing a custom SoC using RISC-V processor with functional safety hooks
  • Functional Safety analysis of an ARM based SoC
  • Developing PLL, Bandgap reference and LDO IPs
  • Analog modeling for Ethernet PHY
  • AI and Data Analytics
  • Embedded SW

AI & Cloud:. In ML and Cloud, we would offer projects in the following areas:

  • Video and Audio AI – Data pipeline and AI model development
  • Development of embedded, embedded + cloud applications for various video and audio AI use-cases
  • Data ML and Data pipeline - Cloud
  • Development of application using ReactJS and Angular for complex dashboards and reporting
  • Sample of our past Projects:
    • Vision A.I using deep learning on embedded and Cloud platforms
    • Object detection and classification applications using various sensor data
    • Porting and optimization of vision and audio AI on accelerator based HW platforms
    • Blockchain based RAM
    • Blockchain supported reverse auctioning
    • User Forum analytics using ML technologies

Platform Software: The platform software focuses on creating solutions in Multimedia, Automotive and Embedded streams

  • Multimedia
    • Developing multimedia use case using Gstreamer framework
    • Create efficient multimedia plugins and pipelines using Deepstream
    • Android Codec 2 related use cases
  • General Embedded
    • Robotics use cases for Sensor fusion, path planning, autonomous navigation
    • Drivers on Linux platform [ Camera, PCie ]
    • Iot related projects with capability of data intelligence
    • Test automation Framework development
  • Automotive
    • Use of mmwaveradar in automotive use case
    • Lane departure warning system
    • Functional safety.



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