Posted in

NVIDIA 2027 Software Engineering Internships: $20–$71 Per Hour in California

NVIDIA 2027 Software Engineering Internships offer 12-week paid opportunities in Santa Clara, California, across cloud, development tools, machine learning operations and software infrastructure.

NVIDIA is accepting applications for its 2027 Software Engineering Internship in Santa Clara, California. The full-time internship lasts 12 weeks and gives students the opportunity to work on software projects with measurable business impact. NVIDIA is accepting applications on an ongoing basis.

NVIDIA Software Engineering Internship Overview

DetailInformation
CompanyNVIDIA
Programme2027 Software Engineering Internship
LocationSanta Clara, California, USA
Job CategoryUniversity Employment
Job IDJR2023495
Duration12 weeks
ScheduleFull-time
Degree LevelsB.S., M.S. or Ph.D.
FieldsElectrical Engineering, Computer Engineering or related fields
Pay$20–$71 per hour
ApplicationsOngoing
BenefitsIntern benefits available

What the NVIDIA Internship Involves

NVIDIA’s Software Engineering internships cover multiple technical areas, allowing interns to work on projects involving software infrastructure, cloud technologies, development tools and accelerated computing.

Potential internship areas include Development Tools, Cloud, Tools Infrastructure and Machine Learning Operations.

Development Tools

Interns working in development tools may help debug complex system-level issues using technologies such as Jenkins.

Relevant coursework or experience may include:

  • Relational databases
  • Linear algebra and numerical methods
  • Operating systems
  • Memory and resource management
  • Scheduling and process control
  • Hardware virtualization

Cloud

Cloud-focused interns may support the architecture and design of cloud storage infrastructure.

The work can include implementing and troubleshooting storage and data-platform tools and automating storage infrastructure.

Relevant areas may include distributed systems, data structures and algorithms, virtualization, automation and scripting, containers and cluster management, and debugging.

Tools Infrastructure

Interns may work alongside software-development and chip-design teams to build infrastructure and workflows.

Potential technologies include:

  • Linux and Unix/Shell scripting
  • C++
  • CUDA
  • Python
  • Java and JavaScript
  • Go
  • Git and GitLab
  • Kubernetes
  • Microservices
  • Docker
  • Ansible
  • LSF and SLURM schedulers

The work can involve application tracing, diagnostics, performance tuning, modeling and debugging.

Machine Learning Operations

The Machine Learning Operations pathway can involve deep learning, GPU computing and accelerated computing.

Potential areas include:

  • Deep learning frameworks
  • NumPy and SciPy
  • cuBLAS and cuDNN
  • CUDA
  • NCCL
  • TensorRT
  • Data preprocessing
  • Training acceleration
  • Real-time inference
  • Backend analytics infrastructure

Who Can Apply?

Applicants must be actively enrolled at a university and pursuing a B.S., M.S. or Ph.D. for the full duration of the internship.

The listed fields include:

  • Electrical Engineering
  • Computer Engineering
  • Related fields

NVIDIA also requires the anticipated graduation month and year to be clearly stated on the applicant’s résumé or CV.

Depending on the specific internship assignment, candidates may need experience with programming languages and technologies such as Java, JavaScript, SQL, C, C++, CUDA, Go, Python, Git, Kubernetes, Docker and Ansible.

NVIDIA Internship Salary

NVIDIA states that its internship hourly rates are based on factors including the position, location, year in school, degree and experience.

The listed internship pay range is $20 to $71 per hour.

Interns are also eligible for intern benefits.

Internship Duration

The Software Engineering internship is a 12-week, full-time programme.

During the internship, students are expected to work on projects that have a measurable impact on NVIDIA’s business.

Application Deadline

Applications are accepted on an ongoing basis.

The posting states that it is for an existing vacancy, so candidates should apply while the opportunity remains available.

Opportunities Feed Assessment

This NVIDIA internship provides several technical pathways within software engineering rather than limiting interns to one technology area.

The opportunities described in the listing span cloud infrastructure, development tools, software infrastructure and machine learning operations, making the programme relevant to students with different technical interests.

Applicants should pay particular attention to the requirement to remain enrolled for the full internship period and to clearly include their anticipated graduation month and year on their CV.

Application Tips

Before applying, students should:

  • Clearly state their expected graduation month and year on their CV.
  • Highlight relevant programming languages.
  • Include software, AI, cloud or systems projects.
  • Mention relevant university coursework.
  • Demonstrate practical experience with tools such as Git, Docker or Kubernetes where applicable.
  • Tailor the CV to the technical area that interests them.
  • Apply early because applications are reviewed on an ongoing basis.

Frequently Asked Questions

Who can apply for the NVIDIA 2027 Software Engineering Internship?

Students actively enrolled in a university and pursuing a B.S., M.S. or Ph.D. in Electrical Engineering, Computer Engineering or a related field can apply, provided they remain enrolled for the full internship.

How long is the NVIDIA internship?

The internship lasts 12 weeks and is full-time.

Where is the NVIDIA Software Engineering Internship located?

The listed position is based in Santa Clara, California, United States.

How much do NVIDIA interns earn?

NVIDIA lists an hourly internship rate of $20–$71, depending on factors including position, location, year in school, degree and experience.

What technologies are relevant?

Depending on the role, relevant technologies can include Python, C++, CUDA, Java, JavaScript, SQL, Go, Git, Kubernetes, Docker, Ansible and other software-development technologies.

When is the application deadline?

Applications are accepted on an ongoing basis. The posting does not provide a fixed closing date.

Do NVIDIA interns receive benefits?

Yes. The listing states that interns are eligible for intern benefits.

How to Apply

Candidates can apply through NVIDIA’s official careers platform.

NVIDIA 2027 Software Engineering Internship – Official Application

Disclaimer

Opportunities Feed is sharing this NVIDIA internship for informational and career purposes. We are not affiliated with NVIDIA and do not recruit applicants on its behalf. Applicants should verify current requirements and application status through NVIDIA’s official careers platform before applying.

SEO Keywords

NVIDIA internships 2027, NVIDIA software engineering internship 2027, NVIDIA internship California, NVIDIA student internships, NVIDIA paid internships, NVIDIA software internship, NVIDIA AI internship, NVIDIA machine learning internship, NVIDIA cloud internship, NVIDIA engineering internship, NVIDIA internship salary, NVIDIA internships Santa Clara, NVIDIA university employment, software engineering internships 2027, AI internships 2027

For more opportunities like these, be sure to follow us on Facebook, join our WhatsApp Group and Channel

Also Check

Max Planck Computer Science Internships 2026: Fully Funded Research Opportunities for Students Worldwide

Adobe Internship Opportunities for Students and Graduates in Technology and Creative Fields

WACSI Next Generation Internship Programme 2027: Fully Funded Opportunity for Young African

Mastercard Internship Program 2027 Applications Open for Students Worldwide

Ken Tafadzwa Mareyangepo is a media and communications professional and graduate of Midlands State University, where he studied Media and Society Studies with a focus on film, video, and photographic arts . With a strong interest in storytelling, digital media, and content creation, he brings valuable skills in communication, visual content, and audience engagement. As an Admin at Opportunity Feed, Ken contributes to curating and sharing global opportunities, helping connect students and professionals to jobs, internships, scholarships, and fellowships worldwide.

Leave a Reply

Your email address will not be published. Required fields are marked *