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AI Solutions Architect for Advanced Manufacturing
2 months ago
We are seeking an AI Solutions Architect to collaborate with clients, partners, and NVIDIA software engineers to enhance applications and platforms utilizing NVIDIA technology across various industry sectors.
At NVIDIA, our Solutions Architects are comprised of top-tier developers and scientists who thrive on engaging with cutting-edge GPU and Networking hardware and software. NVIDIA's platforms for machine learning, deep learning, and high-performance computing have significantly influenced and are widely adopted by leading companies in North America.
Our achievements stem from a focused approach to industry business development, cultivating a robust developer ecosystem, and expanding our business through a diverse partner network, including Hardware OEMs, Cloud Service Providers, Global System Integrators, and Value-Added Resellers.
We require a dedicated, innovative, and enthusiastic individual to assist us in exploring further opportunities in ASIC and chip design, Electronic Design Automation, and other specialized Manufacturing sectors, alongside HPC, NLP, Reinforcement Learning, Machine Learning, and Deep Learning (AI). This role necessitates becoming a trusted technical advisor and leader for our partners and clients who recognize that deep learning, data science, and artificial intelligence represent a transformative computing revolution with the potential to reshape industries.
A Solutions Architect serves as the conduit of technical knowledge between our industry teams, partners, and clients.
Dynamically engaging with internal developers, scientific researchers, data scientists, IT managers, and senior executives is a crucial aspect of the Solutions Architect role, providing exposure to a variety of partners and their concerns.
Key Responsibilities:
Collaborate with our industry and account teams to gain a comprehensive understanding of customer objectives, strategies, and technical requirements, while assisting in defining and delivering high-value solutions that address these needs.
Document your insights and share knowledge with others. This may involve creating targeted samples, writing whitepapers, blogs, and wiki articles, or collaboratively solving complex problems with clients.
Establish yourself as an industry leader with a vision for integrating NVIDIA technology into Manufacturing use cases, utilizing AI, HPC, and enterprise GPU and networking architectures for advanced applications both in data centers and at the edge.
Strategically collaborate with key customers and industry-specific solution partners to target our computing platform.
While we utilize conferencing tools extensively, some travel may be necessary for this role.
Feel empowered to determine the most effective ways to accomplish your tasks and ensure the success of our partners and clients.
Qualifications:
MS or PhD in Engineering, Mathematics, Physics, Computer Science, or equivalent experience.
5+ years of relevant experience in manufacturing domains, such as Electronic Design Automation, data science, or software development, with a solid understanding of parallel computing with GPUs.
Experience with modern application deployment practices, including but not limited to Docker/Containers and Kubernetes.
Familiarity with contemporary Deep Learning software architecture and frameworks.
Excellent written and verbal communication skills, with the ability to effectively collaborate with management and engineering teams.
Experience in supporting clients/partners during technical engagements.
Strong time-management and organizational skills for coordinating multiple initiatives, priorities, and the implementation of new technologies and products into complex projects.
Robust analytical and problem-solving abilities.
Preferred Qualifications:
Experience applying deep learning to chip design. Familiarity with frameworks such as TensorFlow, PyTorch, TRT, and models like Vision Transformer. LLM for code generation and verification.
Research and development experience in Deep Neural Networks and Machine Learning related to chip design and/or industry data.
A published record of thought leadership in a technical area of the manufacturing industry segment.
Innovative generation of synthetic data for chip manufacturing, EDA analysis, inspection, and metrology use cases.
Experience in optimizing networking - RDMA, RoCE, GPUDirect. Network tuning and RAPIDS query optimization.
The base salary range is 148,000 USD - 230,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer.
We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
