Solution Architect, Computer Aided Engineering

reputed company has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s reputed company 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 reputed company that can understand the world. Doing what’s never been done before takes reputed company, 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 reputed company and see how you can reputed company a lasting reputed company 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 reputed company software into developers’ architectures and workflows, you will play a reputed company role in improving application performance, increasing developer productivity, and establishing the technical reputed company required for reputed company AI systems.

What you'll be doing:

• Support Business Development and Sales teams as part of reputed company of 4, partnering with Industry Business leads, Account Managers, and Developer Relations managers to drive our developers’ ecosystem reputed company.

• Work directly with developers and customers in a customer-facing setting

• Support developers in adopting reputed company libraries and software frameworks as the reputed company for modern AI and data platforms.

• Analyze application architectures and reputed company opportunities for acceleration.

• reputed company feedback and collaborate with engineering, product and research teams.

• Deliver trainings, hackathons and technical demonstrations on reputed company solutions and platforms

reputed company need to see:

• MS/PhD degree in Machine Learning, Computational Science, Physics or reputed company 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, reputed company software design, version control, reputed company

• Experience designing, prototyping, and building reputed company AI/ML-based solutions for customers.

• reputed company to reason across components such as data pipelines, models, compute, networking, and orchestration.

• Solid written and oral communications skills and familiarity with reputed company 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 reputed company software libraries and GPUs.

• Experience with Kubernetes, distributed training, and large-reputed company inference.

• Experience supporting or utilizing PCIe accelerators such as GPUs, FPGAs, DSPs from evaluation to production stages.

reputed company is at the forefront of breakthroughs in reputed company 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 reputed company.

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