NVIDIA's products, hardware and software, are world leaders for performance and efficiency. We are continually innovating in creative ways to improve our ability to deliver outstanding solutions across a wide range of sectors. We are seeking exceptional interns who will have a chance to play a key role in shipping user visible features in a large established product. In the Software Developer Tools Team, we enable internal and third-party developers to turn NVIDIA's hardware into groundbreaking cluster, server, professional, consumer, automotive, and embedded solutions.
What you will be doing:
Join the Developer Tools team to work on software such as Nsight Systems.
Work with a wide variety of hardware platforms, ranging from small embedded systems, to large multi-GPU and NUMA servers and clusters.
Be the communicator between our Nsight Systems team, various chip and system design teams, and the metrics library team.
Work with internal and external users to understand their software and performance goals, and use that knowledge to influence future chip design.
Communicate across multiple teams to collect and understand the requirements. Understand how the underlying hardware and software works, and use that knowledge to deliver valuable features to the users. Participate in all phases of the software life cycle.
Collaborate with team members across multiple time zones in a dynamic, high-energy work environment.
Interact with internal and external users, help them get the maximum value out of our products, and deliver their feedback to the product team.
What we need to see:
Excellent problem solving, collaborative, and interpersonal skills.
Strong C++ knowledge.
Strong understanding of algorithms and data structures.
Demonstrated ability to track large amounts of information across long periods of time, ability to explain complex concepts in clear and concise language.
BS or MS in EE, CE, CS, Systems Engineering and 4 years of experience in a related software position.
Ways to stand out from the crowd:
Experience with GPUs, CUDA, HPC, clusters, networking, and performance optimization in distributed environments.
Hands on experience with profiling and performance optimizations (e.g. Linux perf, VTune).
Understanding of software toolchains and its components (e.g. Arm tools, Android NDK tools).
Experience with data science, data analysis and Python.
Experience working in remote and distributed teams.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 183,750 PLN - 318,500 PLN.NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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NVIDIA’s 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
