NVIDIA’s Platform has already made a major impact to the field and is broadly used across leading Industry’s, including the world’s largest Internet companies. Our success has been based on laser-focused industry vertical business development, building a strong developer ecosystem and scaling out the business using a partner channel and creative marketing. We need passionate, hard-working and creative people to help us pursue more of these rare opportunities.
We are now looking for a Solution Architect to focus on End to End Infrastructure, Starting from Data Centre’s, Solution Designs, Deep Learning, Machine Learning, and Accelerated Analytics, solutions to work with our teams in India, Bangalore. If this role sounds exciting, we should talk. Today, NVIDIA is acknowledged as the world leader in AI Accelerated computing. As a Solution Architect working at NVIDIA, you will work closely with multiple Customers across the country - establishing relationships, solving problems and helping them build successful NVIDIA solutions.
What You’ll Be Doing:
Assist field business development in guiding the customer through the sales process for NVIDIA Products, owning the technical relationship and assisting customers in building innovative solutions based on NVIDIA Platforms
Be an industry thought leader on integrating NVIDIA technology into multiple architectures to support AI at scale.
An SME for large scale Software and Hardware Solution Design across AI & Cloud Solutions.
What We Need To See:
B. Tech. or MS in Engineering, Mathematics, Physics, or Computer Science or equivalent experience.
8+ years of work-related experience in Solution Designing for Deep Learning, high-performance computing and Cloud.
Extensive Experience working with DevOps including but not limited to Docker/Containers, Kubernetes, and datacentre deployments.
Excellent Pre-sales experience on Network, Cloud, Big-data/Analytics sizing, Large Scale Enterprise Solutions and RFP experience with the regional customers
Software experience with modern, AI & Cloud Stack, Deep Learning software architecture and frameworks is recommended.
Deep understanding of dense datacentre design components including MEP, compute, storage and networking.
Ability to multitask effectively in a dynamic environment.
Strong analytical and problem-solving skills.
Strong written and oral communications skills in English with the ability to effectively collaborate with management and engineering.
Ways To Stand Out From The Crowd:
Experienced in Networking, Cloud, HPC, ML & DL.
Solution Designs - Large scale Supercomputing build experience -Datacentre to Compute to Network to Software.
Experience in working with Partners, OEMs and Distribution teams.
Outstanding customer facing skill-set with excellent presentation skills
Skills Required
- Bachelor of Technology or master's degree in Engineering, Mathematics, Physics, Computer Science, or equivalent experience
- 8+ years of experience designing solutions for deep learning, high-performance computing, and cloud environments
- Extensive experience with DevOps, Docker or containers, Kubernetes, and data center deployments
- Pre-sales experience with networking, cloud, big data or analytics sizing, large-scale enterprise solutions, and RFPs
- Experience with modern AI and cloud software stacks, deep learning software architecture, and frameworks
- Strong understanding of dense data center design, including MEP, compute, storage, and networking
- Ability to multitask effectively in a dynamic environment
- Strong analytical and problem-solving skills
- Strong written and oral English communication and collaboration skills
- Experience in networking, cloud, HPC, machine learning, and deep learning
- Large-scale supercomputing solution design experience spanning data centers, compute, networking, and software
- Experience working with partners, OEMs, and distribution teams
- Outstanding customer-facing and presentation skills
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
