Solution Architect, Computer Aided Engineering
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.
What you'll be doing:
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.
Work directly with developers and customers in a customer-facing setting
Support developers in adopting NVIDIA libraries and software frameworks as the foundation for modern AI and data platforms.
Analyze application architectures and find opportunities for acceleration.
Provide feedback and collaborate with engineering, product and research teams.
Deliver trainings, hackathons and technical demonstrations on NVIDIA solutions and platforms
What we need to see:
MS/PhD degree in Machine Learning, Computational Science, Physics or related technical field.
Minimum of 5 years of technical experience in Physics-Machine Learning
Experience in engineering simulations (e.g. fluid dynamics, atmospheric science, Computer-Aided Engineering technologies)
Familiarity with accelerated computing platforms and GPU-based distributed systems.
Experience in algorithm programming using languages like Python and C/C++.
Development experience using major AI frameworks (e.g., PyTorch, Tensorflow, and similar tools)
Familiarity with containers, numerical libraries, modular software design, version control, GitHub
Experience designing, prototyping, and building complex AI/ML-based solutions for customers.
Able to reason across components such as data pipelines, models, compute, networking, and orchestration.
Solid written and oral communications skills and familiarity with collaborative environments.
Great teammate who can learn, react and adapt quickly with a mentality to work for a fast-paced environment.
Ways to stand out from the crowd:
Development experience with NVIDIA software libraries and GPUs.
Experience with Kubernetes, distributed training, and large-scale inference.
Experience supporting or utilizing PCIe accelerators such as GPUs, FPGAs, DSPs from evaluation to production stages.
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.
apply to this job
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.
What you'll be doing:
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.
Work directly with developers and customers in a customer-facing setting
Support developers in adopting NVIDIA libraries and software frameworks as the foundation for modern AI and data platforms.
Analyze application architectures and find opportunities for acceleration.
Provide feedback and collaborate with engineering, product and research teams.
Deliver trainings, hackathons and technical demonstrations on NVIDIA solutions and platforms
What we need to see:
MS/PhD degree in Machine Learning, Computational Science, Physics or related technical field.
Minimum of 5 years of technical experience in Physics-Machine Learning
Experience in engineering simulations (e.g. fluid dynamics, atmospheric science, Computer-Aided Engineering technologies)
Familiarity with accelerated computing platforms and GPU-based distributed systems.
Experience in algorithm programming using languages like Python and C/C++.
Development experience using major AI frameworks (e.g., PyTorch, Tensorflow, and similar tools)
Familiarity with containers, numerical libraries, modular software design, version control, GitHub
Experience designing, prototyping, and building complex AI/ML-based solutions for customers.
Able to reason across components such as data pipelines, models, compute, networking, and orchestration.
Solid written and oral communications skills and familiarity with collaborative environments.
Great teammate who can learn, react and adapt quickly with a mentality to work for a fast-paced environment.
Ways to stand out from the crowd:
Development experience with NVIDIA software libraries and GPUs.
Experience with Kubernetes, distributed training, and large-scale inference.
Experience supporting or utilizing PCIe accelerators such as GPUs, FPGAs, DSPs from evaluation to production stages.
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.
apply to this job