Role at a glance
- Salary
- $38 – $94/hr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Internship
- Education
- Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field, for...
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Role Summary
This Ph.D. Research Hardware internship is part of NVIDIA’s Hardware teams and Research organization, focusing on circuit and VLSI design, ASIC development, and advanced EDA methodologies. The work is intended to transfer research into product groups and may result in prototypes, patents, products, or original research publications.
What You'll Do
- Design and implement novel approaches to circuit and VLSI design, including ASIC development and advanced EDA methodologies.
- Collaborate with other team members, teams, and/or external researchers.
- Transfer research to product groups to enable new products or types of products.
- Deliver prototypes, patents, products, and/or publish original research.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Active Ph.D. enrollment in Computer Science, Electrical Engineering, or a related field; strong research background with publications at top conferences and/or patents; excellent communication and collaboration skills.
Required
- Actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field for the full...
- Strong background in research with publications at top conferences and/or patents
- Excellent communication and collaboration skills
Preferred
- Python
- C
- C++
- Perl
- MATLAB
- CUDA
- Verilog
- SystemVerilog
Original job description
Content provided by the employer
Original job description
Content provided by the employer
By submitting your resume, you acknowledge that your Ph.D. Research Hardware 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.
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, collaborative, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
Learn more about Research at NVIDIA.
What you will be doing:
Design and implement novel approaches to circuit and VLSI design, including ASIC development and advanced EDA methodologies.
Collaborate with other team members, teams, and/or external researchers.
Transfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products, and/or publishing original research.
What we need to see:
Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical 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.
Depending on the internship, prior experience or knowledge requirements could include the following programming skills and technologies:
Python, C, C++, Perl, MATLAB, CUDA, Verilog, SystemVerilog, CAD tool packages (e.g., Cadence, Synopsys, HFSS), ML Frameworks (e.g., PyTorch), EDA tools
Strong background in research with publications at top conferences and/or patents.
Excellent communication and collaboration skills.
Potential internships require research experience in at least one of the following areas:
Circuit Design
PLLs and Clocking Circuits
SerDes and High-Speed Signaling
Integrated Photonics and Optical Interconnects
SRAMs, Memory Design, and Cache Architectures
Power Delivery/Regulation
Security Circuits and Hardware Security
High-Speed Logical Design
Novel Digital VLSI Circuits
ASIC and VLSI
ASIC and VLSI Design Techniques
ML Accelerators
Hardware/software co-design
Electronic Design Automation
GPU accelerated EDA
Agent for Hardware Design
Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors.
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 38 USD - 94 USD.You will also be eligible for Intern benefits.
Applications are accepted on an ongoing basis.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.