KASHII UPDATEZ Everyday Student Requirements & Python Coding Tutorials by Python Kashi
JD #2261
Applications open Internship

NVIDIAInternships: Software Engineering

NVIDIA

  • Santa Clara, CA, US
  • USD 8,000 per month (approx.)
  • Fresher (0-1 Yrs)
  • Posted Yesterday
HR
Recruiter contact
Recruiter / hiring contact
No public email in this post. Use a source-linked contact instead.

About the role

NVIDIA is a global leader in accelerated computing, pioneering breakthroughs in artificial intelligence, graphics, and high‑performance computing. Founded in 1993, the company has transformed industries ranging from gaming and entertainment to autonomous vehicles, healthcare, and scientific research. With a culture built on relentless innovation, NVIDIA’s productsβ€”such as the GeForce GPU, the CUDA parallel computing platform, and the DGX AI supercomputerβ€”enable developers to solve problems that were previously considered impossible. The company’s commitment to sustainability, diversity, and cutting‑edge research makes it an attractive destination for ambitious technologists. The 2027 Software Engineering Internship is a 12‑week, full‑time program designed for students who want to contribute to real‑world projects that directly impact NVIDIA’s product portfolio. Interns join one of several specialized tracksβ€”Development Tools, Cloud, Tools Infrastructure, or Machine Learning Operationsβ€”working alongside senior engineers, product managers, and researchers. The role offers hands‑on experience with industry‑leading technologies, exposure to large‑scale systems, and the chance to see code move from prototype to production. Key Responsibilities: 1. Design, develop, and test software components for NVIDIA’s internal and external tools. 2. Debug complex system‑level issues using CI/CD pipelines such as Jenkins. 3. Implement automation scripts for cloud storage infrastructure and data platforms. 4. Contribute to performance‑tuning, profiling, and diagnostics of GPU‑accelerated workloads. 5. Build and maintain micro‑services, containerized applications, and orchestration workflows (Docker, Kubernetes). 6. Write clean, modular code in languages such as C++, Python, Java, Go, and JavaScript. 7. Collaborate with cross‑functional teams to define requirements and deliver end‑to‑end solutions. 8. Participate in code reviews, documentation, and knowledge‑sharing sessions. 9. Develop test suites and validation frameworks for deep‑learning pipelines. 10. Assist in the creation of tooling that improves developer productivity across NVIDIA’s ecosystem. Tech Stack: C++, Python, CUDA, Java, JavaScript (Node, React, Vue), Go, SQL, Git, GitLab, Perforce, Jenkins, Docker, Kubernetes, Ansible, LSF/SLURM, Linux/Unix, OOP, data‑structures & algorithms. Growth Path: Successful interns often receive full‑time offers, progressing to Software Engineer I/II roles, with clear pathways into specialized GPU‑software, AI platforms, or cloud services. NVIDIA invests heavily in continuous learning, providing mentorship, internal courses, and conference sponsorships. Why Join NVIDIA? The internship offers unparalleled exposure to cutting‑edge hardware and software, a vibrant community of world‑class engineers, and the chance to work on products that shape the future of computing. Interns gain mentorship, competitive compensation, and the possibility of a seamless transition to a full‑time career at one of the most respected tech firms globally.

Eligibility & process

Who can apply

Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Minimum CGPA of 7.0/10 (or equivalent). Expected graduation date must be in 2027 (month and year clearly indicated on resume). No active backlogs allowed at the time of application. Eligibility is open to Indian and international students who can legally work in the US for the internship duration.

Skills & stack

C++ Python Java JavaScript Go CUDA SQL

Selection process

  1. Round 1: Online coding assessment (Data structures & algorithms)
  2. Round 2: Technical interview (system design, coding, and domain‑specific questions)
  3. Round 3: HR interview (fit, motivation, and logistics)

Prep kit

20 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1 Core Tech Stack (C++, Python, Java, JavaScript, Go, CUDA, SQL) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion NVIDIA Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join NVIDIA as a NVIDIAInternships: Software Engineering?
Highlight NVIDIA's market reputation, recent tech innovations, and how your skills in C++ directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
NVIDIA USD 8,000 per month (approx.)
Recruiter Resume Apply
Chat Chat with Kashii