RTL Integration (Frontend) Engineer (multiple positions)

Sorry, this job was removed at 08:20 p.m. (CST) on Tuesday, Sep 24, 2024
India
0 Years Experience
Artificial Intelligence • Software
The Role

RTL Integration (Frontend) Engineer (multiple positions)About EdgeCortix

At Edgecortix we are a deep-tech startup revolutionizing edge computing with artificial intelligence and novel high efficiency silicon on chip design. Originating from multiple years of research, our unique AI hardware & software co-design principle and the Dynamic Neural Accelerator ® AI processor IP are geared towards positively disrupting the rapidly growing artificial intelligence edge hardware space and bring the power of AI and machine learning to all kinds of devices. Our operations are headquartered in Tokyo, Japan, with offices in Singapore, Virginia, California in the US. In addition, we are starting a new Design Center in India, located in Hyderabad.

The Team

As an engineering driven company we are working to define and solve the hardest problems in AI including computer vision, speech, and natural language, geared towards real-time capabilities on small to medium form factor devices. We originated out of multiple years of research, as such at our core we value learning, intellectual curiosity, and self-starters. We have the ambitious goal of enabling cloud-level performance with significantly better energy-efficiency for AI inference at the edge.

Your Role and Responsibilities:

This role is part of the EdgeCortix Artificial Intelligence Hardware Team

  • Own the IP integration into ASSP/SOC
  • Integrated EdgeCortix DNA IP and other third-party IP integration
  • Experience with RTL rule checkers (Lint), CDC, RDC, LEC
  • Solid proficiency with Verilog, C/C++ and other scripting languages (e.g. Tcl, Ruby, Perl, Python and Makefile)
  • Experience in RTL design, Synthesis, Static Timing Analysis, RTL and Netlist Power Analysis
  • Good understanding of Gate level netlists and Physical design flows
  • Playing a key role in development of verification infrastructure, which would involve VIPs, different memory models, monitors, etc.
  • ECO Flows, Elab checks, Physical Synthesis
  • Integration flow automation and improvements
  • Generating Design Constraints and Constraints Analysis

Desired Qualifications:

  • 4-7 years of relevant experience covering RTL integration and front end design checks, STA, PPA
  • Knowledge of Chisel based environments
  • IP knowledge of PCIe/UCIe, AXI, DDR, NIC
  • RISC V integration experience is a plus
  • FPGA integration experience
  • Formal equivalence

Preferred Qualification:

  • Cadence tool chain experience
  • Prior CPU/Memory/Bus Integration at subsystem level.
  • Good understanding of Physical design flows
  • Strong Synthesis , Timing Analysis and Power Analysis experience
  • Experience with scripting languages such as perl/python.

Looking for someone who is passionate to innovate and execute, a high-gear individual with multi-tasking capabilities, ready to solve challenging problems. Ideal candidate is a person who is personable, self-motivated and has excellent written and verbal communication skills.

What’s in it for you?

Make a difference: you will have the opportunity to join a well-funded fabless AI semiconductor startup that is disrupting the AI software and hardware co-design space. Be an integral part of its growth and momentum.

Location

Hyderabad is the primary work location, Bangalore is also available. 

Hybrid Remote working is allowed.

Benefits and Perks

  • Highly competitive salary and stock options
  • Flex work time
  • Top-tier employee benefits
The Company
HQ: San Francisco, California
38 Employees
On-site Workplace
Year Founded: 2019

What We Do

EdgeCortix is an Edge Artificial Intelligence (AI) Platform company, pioneering the future of the connected intelligent edge. It was founded in 2019 with the radical idea of taking a software first approach, while designing an artificial intelligence specific runtime reconfigurable processor from the ground up using a technique called "hardware & software co-exploration". Targeting advanced computer vision applications first, using proprietary hardware and software IP on existing processors like FPGAs and custom designed ASIC, the company is geared towards positively disrupting the rapidly growing AI hardware space across defense, aerospace, smart cities, industry 4.0, autonomous vehicles and robotics

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