
10,000+ employees
Founded 1993
đĽ Healthcare
đ Manufacturing
đ¤ Artificial Intelligence
Healthcare ⢠Manufacturing ⢠Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
đ August 28
đ California, New York, +3 more states â Remote
đľ $184k - $287.5k / year
â° Full Time
đ Senior
đť Solutions Engineer
đŚ H1B Visa Sponsor
đť Ghost score 1%
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10,000+ employees
Founded 1993
đĽ Healthcare
đ Manufacturing
đ¤ Artificial Intelligence
Healthcare ⢠Manufacturing ⢠Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
⢠Collaborate with NVIDIA Cloud Partners to create, implement, and deliver NVIDIA hardware and software solutions ⢠Partner with Solutions Architects, Account Managers, Engineering, Product, and business leaders to align strategies, assess technical needs, and secure business opportunities ⢠Serve as the primary technical driver for customers through the design, development, construction, integration, and production of GPU Cloud infrastructure and applications across the customer lifecycle ⢠Conduct regular technical customer meetings covering project and product details, feature discussions, new technology introductions, and debugging ⢠Build and drive adoption of NVIDIA solutions, including proofs of concept, to address critical business needs across infrastructure, libraries, and applications ⢠Prepare and deliver technical content, including presentations, workshops, reference architectures, tutorials, and publications ⢠Own end-to-end technology solution integration with strategic customers ⢠Provide product strategy recommendations based on customer and partner feedback ⢠Deliver GenAI, AI, and ML hardware and software to production
⢠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, or Solution Architecture experience, including direct partner and customer experience ⢠Experience crafting and deploying large-scale cluster environments ⢠Hands-on experience designing, developing, and delivering distributed cloud architectures ⢠Strong fundamentals in programming, optimization, and software design ⢠Proficiency in Python and deep learning frameworks such as PyTorch and TensorFlow ⢠Practical expertise fine-tuning and deploying models ⢠Experience integrating software application stacks, libraries, and frameworks to drive GPU platform consumption ⢠Ability to own and drive complex multidisciplinary technical engagements throughout the customer lifecycle and across cross-functional teams ⢠Efficient time management and ability to balance multiple tasks ⢠Excellent presentation, communication, and collaboration skills ⢠Self-starter with passion for growth, continuous learning, and sharing insights ⢠Practical experience with NVIDIA GPUs, software libraries, frameworks, and foundation models ⢠Hands-on expertise with scaled AI cloud environments such as AWS, Azure, and GCP, and on-premises/hybrid infrastructure ⢠Familiarity with NVIDIA hardware and systems technologies such as NCCL, DCGM, UFM, Mission Control, and Base Command Manager ⢠Proficiency with large-scale AI model training/deployment, GPU systems, performance testing, AI benchmarking, fine-tuning, MLOps, cluster orchestration, SLURM, Kubernetes, orchestrators, load balancing, and cloud architecture ⢠Experience working with enterprise developers and strong customer-facing skills
⢠Equity ⢠Benefits
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