Principal Applied Quantum Research Scientist
NVIDIA
Principal Applied Quantum Research Scientist
NVIDIA
Designs the chips and software that power AI
At NVIDIA, we’re solving the world’s most exciting problems with our unique approach to accelerated computing. We’re looking for passionate technologists with deep quantum computing expertise to help define the future of accelerated quantum supercomputing. As a Principal Applied Quantum Research Scientist within Quantum Computing Applied Research, you will conduct technical pathfinding and develop breakthrough technologies spanning fault-tolerant quantum computing, quantum error correction, logical architectures, compilation, synthesis, resource optimization, and AI-driven optimization methods.
Quantum computing is a strategic priority for NVIDIA, and our goal is to accelerate the entire ecosystem through innovations in software, hardware, and system architecture. In this role, you will work with world-class researchers, engineers, architects, and external partners to advance the state of the art in fault-tolerant quantum computing and translate foundational research into practical technologies for accelerated quantum systems. Do you love developing new technology, tackling difficult scientific challenges, and driving innovation at the intersection of quantum computing and AI? If so, we’d love to hear from you.
What you'll be doing:
What we need to see:
Ways to stand out from the crowd:
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
#LI-Hybrid
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 192,000 USD – 304,750 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
Explore more opportunities at NVIDIA