NVIDIA 2027 Internships: Digital Circuit Design

NVIDIA Ltd.
Santa Clara, CA, United States
16 days ago
Apply on www.jofdav.com
Prepare application

Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Compensation
$122,511.0 - $202,604.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Computer Programming Computer Engineering Logic Synthesis of Circuits Digital Technology Transistor Electronic Design Automation Perl (Programming Language) Python (Programming Language) Object-Oriented Software Development Spice SystemVerilog
+3 more
Verilog VHSIC Hardware Description Language (VHDL) Physical Design

Job description

By submitting your resume, you acknowledge that your Digital Circuit Design internship application will be processed in accordance with NVIDIA’s Applicant Privacy Policy and you agree to our Terms of Service . We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.

Requirements

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world’s largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Hardware teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.

Throughout the 12-week full-time internship, students will work on projects that have a measurable impact on our business. We’re looking for students pursuing a B.S., M.S., or Ph.D. degree within a relevant or related field.

What we need to see:

  • Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field, for the full duration of the internship; anticipated graduation date ( month and year ) must be clearly indicated on a resume or CV to be considered.

Course or internship experience related to the following areas could be required:

  • Digital Circuit Design and Device Fundamentals, Place and Route Design Tools, Datapath Tiling Techniques, SPICE Simulations
  • CMOS Logic Design and Transistor-Level Circuits, Timing and Delay Analysis, Standard Cell Design and Libraries (inverters, NAND, flip-flops, etc.), Memory and Array Design (SRAM), Power and Leakage Optimization, Simulation and Characterization
  • Experience crafting Flip Flops, Level Shifters, Math Cells, Register Files, etc.
  • Automation Methods, Algorithm and Power Distribution, Power Management Circuits/Solutions
  • Circuit Design, Advanced Digital Systems, Operating Systems, Object-Oriented Programming, EDA Tools (Cadence, Synopsys) * Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: Verilog, SystemVerilog, VHDL, Perl, Python, SPICE/HSPICE, Monte Carlo, CMOS, FinFET, EDA Tools (Synopsys, Cadence, etc.), SerDes

Benefits & conditions

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.jofdav.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

1:37 min

Architecting a speed indicator with functional requirements

Daniel Siegl +1 · LIVE

2:20 min

Exponential growth in microchip transistor density

Andreas Kaldun Andreas Kaldun · World Congress 2023

2:13 min

Shaping future physical logic gates with deep learning requirements

Paul Graham Paul Graham · LIVE

1:47 min

Transistor structures and nuclear magnetic resonance technology

Alex Waldherr Alex Waldherr · World Congress 2024

3:30 min

Transitioning from CUDA software architect to user

Stephen Jones · Coffee With Developers

Videos

See all

Related articles

See all