Jobs

System Software Engineer Intern, AI Performance And Efficiency Tools - Summer 2026
China, Shanghai
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On-site
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Full-time
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1mo ago
Benefits & Perks
•Annual team offsites
•Learning and development stipend
•Flexible PTO policy
•Remote work flexibility
•Wellness benefits
Required Skills
Apache Spark
SQL
Airflow
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.
As a System Software Engineer Intern on our System Profiling team, you will develop and improve the key software and systems for perf & power verification/analysis activities that are done internally in high-impact chip and SW projects. Your work will bring the users intuitive, rich and accurate insight in how to optimize the workload, or how to improve the performance and power efficiency of NVIDIA products with outstanding tools.
What you will be doing:
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Build internal profiling/analysis tools for real world application perf/power analysis at system from small to large scale.
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Build infrastructure or services for data visualization/mining and management.
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Work with our users to build their perf/power models on top of our tools for next generation HW design.
What we need to see:
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Pursuing a Bachelor's or higher degree in Computer Science or Computer Engineering.
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Strong programming skills with Python and C++.
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Familiar at Linux kernel subsystems, eBPF, or computer networking and RDMA.
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Proven understanding of solving low level software and hardware problems.
Ways to stand out from the crowd:
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Understands how distributed DL training / inference works.
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Strong knowledge of Windows/Linux OS internals and performance profiling tools.
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Hands-on experience with Linux kernel programming, eBPF tracing, or high-speed networking/RDMA frameworks.
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Experience in contributing to large open-source projects.
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Contributions to DL frameworks like Py Torch/JAX/Tensor Flow is a huge plus.
NVIDIA is widely considered one of the technology world’s most desirable employers. We employ some of the most forward-thinking and dedicated people in the world. Are you passionate about joining our life work to amplify human creativity and intelligence? If you are creative, collaborative, and have a real passion for design methodology and automation, we want to hear from you.
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About NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
Employees
Santa Clara
Headquarters
$4.57T
Valuation
Reviews
4.1
10 reviews
Work Life Balance
3.5
Compensation
4.2
Culture
4.3
Career
4.5
Management
4.0
75%
Recommend to a Friend
Pros
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
Cons
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
Salary Ranges
47 data points
Junior/L3
Mid/L4
Junior/L3 · Analyst
7 reports
$170,275
total / year
Base
$130,981
Stock
-
Bonus
-
$155,480
$234,166
Interview Experience
7 interviews
Difficulty
3.1
/ 5
Experience
Positive 0%
Neutral 86%
Negative 14%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
News & Buzz
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
News
·
NaNw ago
NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
News
·
NaNw ago
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
News
·
NaNw ago
NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
News
·
NaNw ago



