Senior Solutions Architect, Cloud Partners

Solutions EngineerSolutions EngineerFull TimeRemoteTeam 10,001+Since 1993H1B SponsorCompany Site LinkedIn

Location

California + 4 more

Posted

59 days ago

Salary

$184K - $287.5K / year

Postgraduate Degree10 yrs expEnglishCloudPythonPy TorchTensorflow

Job Description

• Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions • Partner with SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, secure business opportunities for NVIDIA • Become the primary technical driver for customers during the design, development, construction, integration, and production of GPU Cloud infrastructure and applications throughout the entire customer lifecycle • Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions • Work closely with customers to build and adopt NVIDIA solutions including PoCs to address critical business needs covering infrastructure, libraries, and applications • Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications.

Job Requirements

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields or equivalent experience
10+ years of Solution Engineering (or similar Sales Engineering, Cloud Engineering, Solution Architecture) including experience working directly with partners and customers
Experience crafting and deploying large-scale cluster environments, hands-on experience designing, developing, delivering distributed Cloud architectures
Strong fundamentals in programming, optimizations and software design, especially in Python and Deep Learning frameworks such as PyTorch and TensorFlow
Practical expertise fine tuning and deploying models, integrating software application stacks, libraries, and frameworks to drive consumption from GPU platforms
Motivation and skills to own and drive complex multi-disciplinary technical engagements with customers throughout the full customer lifecycle and cross-functional teams
Efficient time management and capable of balancing multiple tasks
Excellent presentation, communication and collaboration skills
Self-starter with a passion for growth, continuous learning, and sharing insights.