Full-Time
GPU Performance Software Engineer – New College Grad 2023
Posted on 8/30/2023
NVIDIA
10,001+ employees
Designs GPUs and AI HPC platforms
Compensation Overview
$100k - $184k
Company Historically Provides H1B Sponsorship
Santa Clara, CA, USA
 AI & Machine Learning |
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 Software Engineering |
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- Pursuing BS, MS, or PhD in Computer Science or Software Engineering or equivalent experience
- At least one year of experience with C and C++ development
- Familiar with source code control software such as Perforce or GIT
- Experienced with software development practices such as design and code reviews
- Comfortable developing software in the Windows 10 or Windows 11 environment
- Development of low-level systems software and experience with scripting tools such as Python or Perl
- Fundamentals of statistics, including variance analysis
- Developing software on other operating systems, such as Linux or OSX
- The use of graphics APIs such as OpenGL or Direct3D
- GPU compute frameworks such as CUDA or OpenCL
- Machine Learning frameworks such as PyTorch or TensorFlow
NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.
Company Size
10,001+
Company Stage
IPO
Headquarters
Santa Clara, California
Founded
1993
Your Connections
People at NVIDIA who can refer or advise you
Simplify's Take
What believers are saying
- NVIDIA launched BioNeMo Agent Toolkit on June 23, 2026, expanding its foothold in agentic life sciences[1][5].
- BioNeMo integrates with Anthropic's Claude Science workbench, strengthening partnerships in scientific AI[3][6].
- NVIDIA's revenue surged to $215.9 billion in fiscal 2026, with analysts projecting growth to $392.7 billion in fiscal 2027[1].
What critics are saying
- Kyber NVL144 faces a confirmed 12+ month delay to 2028, undermining annual release cadence and aiding hyperscaler custom chip adoption[1][2].
- Hyperscalers Amazon, Google, Microsoft, and Meta are scaling their own AI silicon during the Kyber delay, eroding NVIDIA's data center pricing power[2].
- Rubin Ultra chips are stranded without a compatible rack until 2028, creating a 14-month product gap that may push customers to AMD[3].
What makes NVIDIA unique
- NVIDIA BioNeMo NIM microservices are trained from scratch for biology, improving accuracy in structure prediction and molecule generation[2][6].
- NVIDIA's partnership with LG Group builds an AI factory spanning robotics and autonomous driving beyond data centers[LG deal].
- Over 50 companies use BioNeMo to accelerate drug discovery, signaling early commercial traction in agentic life sciences[1][6].
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Company Equity
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Growth & Insights and Company News
6 month growth
↑ 1%1 year growth
↓ -1%2 year growth
↓ -1%Mistral AI has raised €1.7 billion in a Series C funding round at an €11.7 billion post-money valuation. The round was led by semiconductor equipment manufacturer ASML Holding, with participation from existing investors including DST Global, Andreessen Horowitz, Bpifrance, General Catalyst, Index Ventures, Lightspeed and NVIDIA. The Paris-based AI company will use the funding to advance its scientific research and develop custom decentralised frontier AI solutions for complex engineering and industrial problems. ASML CEO Christophe Fouquet said the partnership aims to generate benefits for ASML customers through AI-enabled products and solutions. Mistral AI CEO Arthur Mensch stated the investment will help address engineering challenges in the semiconductor and AI value chain whilst maintaining the company's independence.
With funding led by Radical Ventures, Decart is building the infrastructure layer for the next generation of low-latency AI systems, through three product lines: DOS, an ultra-optimized inference and training stack that enables agents and reasoning models to run smarter and faster; and the models Lucy, its World Model for Immersive Experiences; and Oasis, its World Model for Physical AI – both powered by DOS. Today, we’re also announcing DOS 2.0, with new versions of Lucy and Oasis launching in the coming weeks.
Matlantis has integrated NVIDIA's ALCHEMI Toolkit into its materials simulation platform to accelerate industrial materials discovery. The company previously incorporated NVIDIA Warp-optimised kernels, achieving up to 10x speed improvements in atomistic calculations. The integration includes LightPFP, Matlantis' lightweight potential for large-scale simulations, which uses a server-based architecture with NVIDIA ALCHEMI Toolkit-Ops to reduce communication bottlenecks. Matlantis plans to integrate its flagship Universal Machine-Learning Interatomic Potential with the toolkit to further enhance GPU efficiency. Launched in 2021, Matlantis is a cloud-based atomistic simulator jointly developed by PFN and ENEOS. The platform uses deep learning to increase simulation speeds by tens of thousands of times and serves over 150 companies discovering materials including catalysts, batteries and semiconductors.
Nvidia shares have climbed 18% over a ten-day winning streak, the longest since 2023. The stock is trading about 8% below its October all-time high of $212.19. CEO Jensen Huang revealed at last month's GTC conference that Nvidia has over $1 trillion in GPU orders through 2027, including Blackwell and next-generation Vera Rubin chips. Data centre revenue surged 75% year-over-year and now comprises 88% of the business, a dramatic shift from five years ago when gaming dominated. The rally follows major deals including Meta's February commitment to deploy millions of Nvidia chips across its global data centres. On Monday, Nvidia denied rumours it was pursuing acquisitions of PC makers Dell or HP. The company also unveiled Ising, a new family of open-source models for quantum computing.