NVIDIA is inviting applications for its 2027 Software Engineering Internship in Santa Clara, California, USA. This opportunity is designed for university students pursuing a Bachelor’s, Master’s, or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field.
The 12-week, full-time internship offers students hands-on experience working with NVIDIA’s software engineering teams on projects involving development tools, cloud infrastructure, tools infrastructure, and machine learning operations.
Candidates interested in software development, AI, GPU computing, cloud technologies, and systems engineering can review the eligibility criteria and apply through NVIDIA’s official careers portal.
Job Details
| Particulars | Details |
|---|---|
| Company Name | NVIDIA |
| Job Role | Software Engineering Intern |
| Internship Program | NVIDIA 2027 Internships |
| Job ID | JR2023495 |
| Job Category | University Employment |
| Experience | Student / Internship |
| Qualification | B.S., M.S., or Ph.D. in a relevant field |
| Location | Santa Clara, California, USA |
| Job Type | Full-Time Internship |
| Duration | 12 Weeks |
| Work Arrangement | Not specified in the listing |
| Salary | $20–$71 per hour |
| Application Deadline | Not specified; applications accepted on an ongoing basis |
| Official Careers Page | NVIDIA Careers |
Job Description
NVIDIA develops accelerated computing technologies that support applications across artificial intelligence, gaming, robotics, autonomous vehicles, healthcare, and other industries.
As a Software Engineering Intern, you will work with experienced engineering teams on projects that contribute to NVIDIA’s business. Depending on the team and assignment, you may work on debugging tools, cloud storage infrastructure, software development workflows, GPU computing, or machine learning infrastructure.
The company is looking for ambitious, creative, and hardworking students who enjoy solving technical problems and learning new technologies.
Potential Internship Areas
1. Development Tools
Interns may work on debugging complex system-level issues using Jenkins and supporting development tools.
Relevant knowledge may include:
- Relational databases
- Linear algebra and numerical methods
- Operating systems and memory management
- Scheduling and process control
- Hardware virtualization
2. Cloud Infrastructure
This area focuses on cloud storage infrastructure, storage and data platform tools, and automation.
Relevant skills may include:
- Distributed systems
- Data structures and algorithms
- Virtualization
- Automation and scripting
- Container and cluster management
- Debugging
3. Tools Infrastructure
Interns may help develop software workflows and infrastructure that support production software development and chip design.
Technologies that may be relevant include:
- Linux and Unix shell scripting
- Java, JavaScript, and C++
- Python, Go, and CUDA
- Object-oriented programming
- Git, GitLab, and Perforce
- Kubernetes, microservices, and Docker
- Ansible and workload schedulers
4. Machine Learning Operations
This area involves infrastructure and tools supporting deep learning, GPU computing, accelerated computing, and machine learning workloads.
Relevant technologies may include:
- NumPy and SciPy
- CUDA, cuDNN, and NCCL
- Deep learning validation frameworks
- Data preprocessing and training acceleration
- TensorRT and real-time inference
- Backend analytics infrastructure
The specific responsibilities and required technologies depend on the internship assignment.
Eligibility Criteria
Candidates must meet the following requirements stated in the official listing:
- Be actively enrolled at a university throughout the full internship.
- Be pursuing a B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, or a related field.
- Clearly mention the anticipated graduation month and year on the resume or CV.
- Possess relevant programming knowledge depending on the internship assignment.
Required Technical Skills
Depending on the team, candidates may need experience or coursework in one or more of the following:
- Java, JavaScript, Python, C, C++, CUDA, or Go
- SQL and object-oriented programming
- Data structures and algorithms
- Git, GitLab, or Perforce
- Linux and Unix shell scripting
- Kubernetes, microservices, and Docker
- Ansible and automation
- Cloud infrastructure and distributed systems
- Deep learning and GPU computing
Candidates should highlight relevant academic coursework, personal projects, research, and previous internship experience on their resumes.
Salary and Benefits
NVIDIA’s official listing states that internship hourly pay ranges from $20 to $71 per hour. The actual rate depends on factors such as the position, location, academic year, degree, and experience.
Interns are also eligible for benefits offered under NVIDIA’s internship program.
The published rate is in US dollars and applies to this US-based opportunity; it should not be interpreted as an India-based salary package.
Internship Duration and Application Process
The internship lasts 12 weeks and is full-time. Applications are accepted on an ongoing basis, and NVIDIA reviews resumes as they are received.
Candidates should prepare an updated resume that clearly shows their degree program, anticipated graduation date, relevant technical skills, and academic or personal projects.
How to Apply for NVIDIA Software Engineering Internship 2027
Interested and eligible students can submit their applications through NVIDIA’s official careers portal.
Apply now: Click here
Official job listing: View job details
Before applying, confirm that you meet the student enrollment requirements and can participate in the internship at the listed US location.
Frequently Asked Questions (FAQs)
1. Is NVIDIA hiring software engineering interns for 2027?
NVIDIA has published a 2027 Software Engineering Internship listing under job ID JR2023495. Check the official careers portal for the latest application status.
2. Who is eligible to apply?
Students pursuing a B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, or a related field who remain enrolled throughout the internship may be eligible.
3. Where is the internship located?
Santa Clara, California, USA.
4. What is the internship duration?
The internship is 12 weeks and full-time.
5. What is the salary for NVIDIA interns?
The official listing gives an hourly pay range of $20–$71, depending on the role and candidate-specific factors.
6. Is this a work-from-home internship?
The listing does not specify a remote or work-from-home arrangement. Candidates should confirm the work arrangement with NVIDIA.
7. Can graduates who are no longer enrolled apply?
The listing requires candidates to remain actively enrolled in a university for the full duration of the internship. Applicants who have already graduated should verify their eligibility with NVIDIA.
