Nvidia Fresher Hiring 2023 | Software Engineering Intern | BE/BTech/ME/MTech | Pune

Nvidia has invited applications for the recruitment of Software Engineering Intern post. It is an entry level position and freshers can apply.

Interested candidates meeting the eligibility criteria can apply online at the earliest.

Candidates can find the links for the job notification, applying online, eligibility criteria and other details here.

Experience: Freshers – No experience needed

Post Name: Software Engineering Intern

Qualification: BE/BTech or ME/MTech in Computer Science or E&C

Batch: Recent Batches

Salary: 6 LPA (expected)

Last Date to apply: As soon as possible

Job Locations: Pune

Job Description:

As a Software Engineering Intern, the candidate will implement AI/ML/DL use cases to improve efficiency and resiliency of systems and data center.
We are looking for Interns who are passionate about working to optimize the data centers resources and make data center efficient by using technologies in area of AI/ML/LLM.

What you’ll be doing:

The candidate will be working in the following areas:

Responsible for implementing AI/ML/DL use cases to improve efficiency of systems with in data center.
Write code using Algorithms and data structures
Write code in Python, Java programming languages
To Develop Machine Learning models using available ML algorithms.
Explore and do Proof Of Concept on the latest LLM models.
Docker, containers and Kubernetes.

What we need to see:

Strong academic background
MTech/BTech in Computer Science or E&C
Very good at programming languages and processor architecture
Good understanding of Operating System Fundamentals.
Ability to write quality code in Python, Java or Golang programming skills
Knowledge of Machine Learning algorithm is a plus
Knowledge of scripting (Perl or python) is a plus
Candidates should have a solid background in:
- Operating System, Algorithm development
- Knowledge on Object-oriented programming is highly a plus in C / C++ Or Java
- Proficiency in innovative and optimal designs

Ways to stand out from the crowd:

Exposure to Machine Learning Algorithm.
Exposure to the latest Large Language Models.
Good communications skills and ability and desire to work as a great teammate are a must.

About Nvidia:

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.
NVIDIA engineers the most advanced chips, systems, and software for the AI factories of the future. We build new AI services that help companies create their own AI factories.
Omniverse, our platform for industrial digitalization, enables industries grounded in physical processes to become software-defined and connect large, highly skilled teams.