
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 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.
🔥 14 hours ago
🏄 California, Colorado, +3 more states – Remote
💵 $184k - $356.5k / year
⏰ Full Time
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 1%
Where this job comes from
Posted on NVIDIA's careers page, not through a job board
First seen by Remote Rocketship 14 hours ago
Still open on NVIDIA's site. Checked 1 hour ago.

10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 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 during the design, development, construction, integration, and production of GPU Cloud infrastructure and applications throughout the customer lifecycle • Conduct regular technical customer meetings covering project and product details, feature discussions, new technologies, and debugging • Build and adopt NVIDIA solutions, including proofs of concept, addressing critical infrastructure, library, and application needs • Prepare and deliver technical presentations, workshops, reference architectures, tutorials, and publications to customers
• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields or equivalent experience • 6+ years of Solution Engineering or similar Sales Engineering, Cloud Engineering, or Solution Architecture experience, including direct work with partners and customers • Experience crafting and deploying large-scale cluster environments • Hands-on experience designing, developing, and delivering distributed Cloud architectures • Strong fundamentals in programming, optimizations, and software design • Strong experience with 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 consumption from GPU platforms • Ability to own and drive complex multidisciplinary technical engagements throughout the full customer lifecycle • 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, networking, storage, and systems technologies such as NCCL, DCGM, UFM, Mission Control, and Base Command Manager • Proficiency with large-scale AI model training and deployment, GPU systems, performance testing, AI benchmarking, fine-tuning, MLOps, and cluster orchestration • Experience with SLURM, Kubernetes, orchestrators, load balancing, and cloud architecture • Experience working with enterprise developers and strong customer-facing skills
• Equity • Benefits • Up to 40% travel may be required
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