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2024 ASIC Physical Design Engineer Intern, Annapurna Labs

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Amazon

Feb 9

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Engineering
  • $104K - $212.2K
  • Austin

Requirements

  • Basic Qualifications:
  • Enrolled in a Bachelors’ degree program or higher in Electrical Engineering, Computer Engineering, or a related field with a graduation conferral date between December 2024 and September 2025
  • Scripting internship/project experience with Python, Perl or equivalent
  • Strong understanding of VLSI circuit design fundamentals
  • Have taken at least one or more VLSI circuit design and implementation classes and done lab projects
  • Preferred Qualification:
  • Enrolled in a Master’s degree program in Electrical Engineering or Computer Engineering
  • Previous relevant technical internship experience
  • Experience with FinFET design, Clock/Power Distribution, Spice Circuit analysis
  • Experience with Place and Route, digital implementation
  • Experience with EDA tools from Synopsys (ICC2, DC, PT), Cadence (Genus, Innovus, Voltus)
  • Experience with Verilog/SystemVerilog

Responsibilities

  • Perform physical design for Amazon's machine learning custom silicon solutions
  • Participate in various aspects of physical design: full chip floorplanning, circuit analysis, power/clock distribution, timing optimization, place and route, power integrity analysis, and physical verification
  • Write Tcl or PERL scripts to improve physical design flows and methods
  • Collaborate with RTL, DFT designers to ensure high quality design implementation

FAQs

What is the duration of the internship for the 2024 ASIC Physical Design Engineer Intern position?

The internship is a full-time position (40 hours/week) for 12 consecutive weeks during the summer.

Which locations are available for this internship?

By applying to this position, your application will be considered for all locations that we hire for in the United States.

What team would I be working with if I joined Annapurna Labs?

You would be a member of the Cloud-Scale Machine Learning Acceleration team.

What are the main responsibilities of the ASIC Physical Design Engineer Intern?

As an intern, you will be responsible for the design and optimization of software and hardware in AWS data centers, including technologies such as AWS Inferentia, which is a machine learning inference accelerator.

What kind of projects can I expect to work on during my internship?

You can expect to work on cutting-edge projects involving the design and creation of hardware and software components for accelerated computing, including machine learning acceleration and FPGA acceleration.

What skills or knowledge would be beneficial for this internship?

Beneficial skills and knowledge would include an understanding of ASIC design, experience with hardware-software co-design, knowledge of machine learning concepts, and familiarity with data center technologies.

What can I expect from the work environment at Annapurna Labs?

You can expect a dynamic work environment at the forefront of hardware co-design, where you will engage in hands-on tasks that involve pushing the boundaries of technology and building complete products from inception to customer delivery.

What is the main goal of the work done at Annapurna Labs?

The main goal is to design and build hardware and software components that come together into products for accelerated computing, ultimately delivering high performance at low cost for customers utilizing services like machine learning and FPGA acceleration.

How would this internship contribute to my career development?

This internship provides an opportunity to gain practical experience in a cutting-edge field, work alongside industry experts, and develop skills in ASIC design, optimization, and cloud-scale technologies, which can be invaluable for your future career in hardware or software engineering.

Is there an opportunity for full-time employment after the internship?

While the internship itself does not guarantee full-time employment, it may serve as a pathway for future opportunities within AWS and Annapurna Labs, depending on performance and business needs.

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