System on Chip

3 days ago

India Nokia Global Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Description

We are seeking an experienced System on Chip (SoC) Architect to join our development team. The ideal candidate will be involved in designing, integrating, and optimizing SoC hardware architectures and ensuring seamless software-hardware co-development.

Responsibilities
  • Develop SoC architectures for advanced applications, ensuring scalability, performance, and power efficiency
  • Lead hardware design and integration processes, including RTL coding, synthesis, and verification
  • Collaborate with software teams to ensure efficient software-hardware co-design and integration
  • Perform system-level modeling and simulations to validate architectural choices
  • Guide SoC implementation, including floor planning, physical design, and timing closure
  • Follow best practices for IC design and manufacturing
  • Analyze system requirements, identify bottlenecks, and propose innovative solutions
Qualifications

You have:

  • Bachelor's Degree in Electrical Engineering, Computer Engineering, or a related field (Master's or Ph.D. preferred). 
  • Overall,15+ years of experience as a Chip design expert. 8+ years of proven experience in IC design, SoC architecture, or a similar role.
  • Proficiency in hardware description languages: Verilog, VHDL, and System Verilog
  • Expertise in EDA tools for IC design and verification: Mentor Graphics, Cadence, or Synopsys
  • Strong understanding of SoC architecture, including processor, memory subsystem, and interconnects (e.g., AXI, AMBA).
  • Experience with hardware-software co-design and debugging tools.
  • Knowledge of low-power design techniques and methodologies.
  • Strong scripting skills in Python, Tcl, or Perl for automation. Tools: MATLAB/Simulink, Microsoft Visio, Mentor Graphics QuestaSim

It would be nice if you also had: 

  • Familiarity with high-level modeling tools like SystemC.
  • Knowledge of advanced packaging technologies (e.g., Chiplets, 3D ICs).
  • Exposure to machine learning or AI accelerators in SoC design.

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