Chip Maker NVIDIA Recently Reached A $2 Trillion Valuation, And They're Hiring

Earlier this year, NVIDIA joined an exclusive club with a £2 trillion market capitalization, making it the third company in the U.S. to reach this high, behind Apple ($2.83 trillion) and Microsoft ($3.06 trillion). 

Founded in 1993, NVIDIA's business was originally centered around gaming graphics cards, and in its early days, the company had a significant contract with SEGA.

Although the organization has multiple arms, including data centers, autonomous vehicles and visualization solutions, its H100 graphics processing units (GPUs) for the AI market have accelerated its growth to new highs. 

In its Q4 Fiscal 2024 Summary, the company shared that in its just-completed fiscal year, revenue hit $60.9 billion, while annual profits reached $32.2 billion. 

And though competitors OpenAI and Microsoft are working on their own chips to decrease reliance on the California-based company, it's Intel that's been first out the gate. 

On 9th April, Intel announced that its newest AI chip, the Gaudi 3 AI accelerator, will be available to Dell, HP, Lenovo and Super Micro Computer in Q2 2024. 

It claims that it outperforms Nvidia's H100 in terms of inference and power efficiency, and will also be available at a cheaper price point.

However, late last year NVIDIA announced that its H200 Tensor Core GPU will also begin shipping in the second quarter of 2024. It promises further performance leaps, including doubling inference speed on Llama 2, compared to the H100. 

Plus, at its annual technology conference in March, NVIDIA's CEO Jensen Huang announced the release of "the world's most powerful chip" in the form of the Blackwell GPU, which will be available through its partners later this year.

Clearly, it's all to play for but NVIDIA haven't been resting on their laurels, and optimism remains in the air for continued AI-fuelled growth. 

In a recent tweet, Elon Musk said "The talent war for AI is the craziest talent war I've ever seen!", and this is reflected in the generous salaries, benefits and equity on offer across the industry, but especially so in trillion-dollar companies.

Interested in working at NVIDIA? Here are five well-compensated senior roles on offer in Santa Clara and Redmond right now. 

NVIDIA's Architecture Modelling group is hiring a Senior Architect – GPU and SoC who will model and analyze graphics and/or SOC algorithms and features in matrixed work environments to document, design, develop, simulate, validate and verify models. The application criteria is a Bachelor’s degree or equivalent experience in a relevant discipline, plus eight years' of relevant work experience, or MS with five years of experience, or PhD with two years of experience. Abilities in C++, C, build systems (CMAKE, make), toolchains (GCC, MSVC) and libraries (STL, BOOST) are also required.

Join the DLSim team and you'll be part of its core mission to deliver full-stack simulation infrastructure for deep-learning applications across a spectrum of GPUs. Currently hiring for a Senior Deep Learning Software Engineer, the successful candidate will contribute to the creation of a compiler-oriented simulation infrastructure that swiftly assesses the forthcoming AI-accelerating GPU hardware and software advancements. You'll need a Master's or PhD degree, or equivalent experience, three years' of relevant work experience, and programming fluency in C/C++ and Python.

Do you have 10 or more years' of hardware development experience? Then take a look at this Senior Hardware Security Architect role, a position that will architect, design, validate, and guide implementation of HW security for an upcoming GPU. While it doesn't mention which specific GPU, all releases from NVIDIA are hot property, so this is an important and accordingly, very well-paid role. You'll need a Master's degree or equivalent experience, a deep understanding of processes architectures, caches and memory systems, plus proficiency in Verilog RTL coding and scripting languages, such as Perl, Python and Make etc, and excellent C programming and low-level firmware experience.  

If your problem solving skills are top-notch and you've technical leadership experience, consider this Senior Compiler Engineer role with NVIDIA's Compute Compiler team in Redmond. This team delivers features and improvements to CUDA and other compute compilers to better realize the potential of GPUs for deep learning, scientific computation, and self-driving cars. The successful candidate will provide technical leadership to a small team of engineers working on compiler middle-end optimizations, while analyzing the performance of application coding running on NVIDIA GPUs, and identifying opportunities for performance improvements. Requirements include 12 or more years' experience, and a M.S. or Ph.D, or equivalent experience. 

If you want to work at the forefront of technological advancement, consider this Senior Firmware Architect – Server Manageability role. Another very well-paid position, the right candidate will be designing, implementing, and delivering innovations for managing GPU-based AI servers with a focus on OOB management, firmware development, server architecture, and building systems for the enterprise. This is a management position and involves driving a global team of firmware developers, and working closely with security and hardware teams. A long list of requirements is listed in the job spec.

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