Solution Architect, Computer Aided Engineering
Experience: Not Available to Not Available years
Location: France, Remote
Skills: Machine Learning, Computational Science, Physics, engineering simulations, fluid dynamics, atmospheric science, Computer-Aided Engineering technologies, accelerated computing platforms, GPU-based distributed systems, algorithm programming, Python, C/C++, AI frameworks, PyTorch, Tensorflow, containers, numerical libraries, modular software design, version control, GitHub, AI/ML-based solutions, data pipelines, models, compute, networking, orchestration, NVIDIA software libraries, Kubernetes, distributed training, large-scale inference, PCIe accelerators, FPGAs, DSPs
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing.
An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
Come join the team and see how you can make a lasting impact on the world. We are looking for Solution Architects with deep expertise in AI solutions to drive the efficient use of groundbreaking compute platforms across industries. In this role, you will be a trusted technical advisor to our CAE developers and customers.
You will be responsible for embedding NVIDIA software into developers’ architectures and workflows, you will play a direct role in improving application performance, increasing developer productivity, and establishing the technical foundation required for next-generation AI systems.
Support Business Development and Sales teams as part of a Team of 4, partnering with Industry Business leads, Account Managers, and Developer Relations managers to drive our developers’ ecosystem success.
What we need to see:
MS/PhD degree in Machine Learning, Computational Science, Physics or related technical field.
Ways to stand out from the crowd:
Development experience with NVIDIA software libraries and GPUs.
NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology.
We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.
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