Full-Time

Software Solutions Engineer

Cloud and Graphics Technologies

Posted on 5/9/2026

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

No salary listed

Pune, Maharashtra, India + 1 more

More locations: Bengaluru, Karnataka, India

In Person

Category
Sales & Solution Engineering (1)
Required Skills
Kubernetes
Python
Docker
Microservices
C/C++
Requirements
  • BS in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience)
  • 5+ years in a customer-facing technical role such as solution engineering, Solutions Architect, Customer Success Engineer for cloud, SaaS, or platform services.
  • Experience developing or troubleshooting 3D graphics, simulation or visualization applications with Python or C++.
  • Deep understanding of cloud-native architectures (containers, Kubernetes, microservices), physical AI and modern deployment/operations practices.
  • Excellent communication skills, including the ability to translate technical topics for non-technical audiences and to clearly document architectures, decisions, and runbooks.
  • Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented.
  • Flexibility to work in EMEA time zone when needed.
Responsibilities
  • Trouble shoot, fix and develop features as part of solution engineering effort in the above mentioned technology areas for our enterprise customers across the globe
  • Work with CSPs, their customers and internal users to improve the availability, reliability, and overall experience of working with Omniverse product
  • Take ownership and drive customer issues with Omniverse from inception to resolution
  • Build upon the opportunity to research new use cases with GPUs
  • Bring independent analysis, communication, and problem-solving to customer experience
  • Collaborate with engineering to document, recreate and solve issues
  • Author and incorporate technical solutions into our knowledge base
  • Be on call one weekend per month in the event a customer has a Sev1 outage and requires engineering assistance
Desired Qualifications
  • Experience with NVIDIA libraries and models (e.g. CUDA-X, Omniverse, OpenUSD, RTX, Isaac, PhysicsNeMo, Cosmos).
  • Hands-on experience with robotics simulation frameworks (e.g., NVIDIA PhysX and Isaac SIM, Gazebo, MujoCo, Pybullet, SAPIEN).
  • Familiarity with GPU-accelerated computing and AI/ML workflows, and how they integrate with visualization or simulation workloads.
  • Experience in resolving issues in managed cloud platforms, working with customers, cloud providers, and internal SRE/engineering.

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Toyota adopts NVIDIA DRIVE AGX Orin, boosting automotive revenue 103% in Q4 FY2025.
  • SoftBank plans NVIDIA AI servers in Japan by 2030; IREN deploys 5GW infrastructure.
  • NVIDIA reaches $5.5T market cap with $216B FY revenue and $400B projected FCF.

What critics are saying

  • Broadcom supplies custom chips to Google through 2031, Anthropic from 2027, OpenAI.
  • China revenue hits zero from $17B due to US restrictions, $4.5B Q1 2026 charge.
  • B200 GPU rentals drop 30% as sentiment flips bearish, cooling FY2027 $78B guidance.

What makes NVIDIA unique

  • NVIDIA invented the GPU in 1999, pioneering accelerated computing.
  • CUDA platform from 2006 enables GPUs for AI and parallel computing.
  • Full-stack AI infrastructure powers 80% of AI training GPUs in 2025.

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Benefits

Company Equity

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Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-3%

2 year growth

-2%
The Associated Press
Apr 15th, 2026
Matlantis integrates NVIDIA ALCHEMI Toolkit for 10x faster materials simulation

Matlantis has integrated NVIDIA's ALCHEMI Toolkit into its materials simulation platform to accelerate industrial materials discovery. The company previously incorporated NVIDIA Warp-optimised kernels, achieving up to 10x speed improvements in atomistic calculations. The integration includes LightPFP, Matlantis' lightweight potential for large-scale simulations, which uses a server-based architecture with NVIDIA ALCHEMI Toolkit-Ops to reduce communication bottlenecks. Matlantis plans to integrate its flagship Universal Machine-Learning Interatomic Potential with the toolkit to further enhance GPU efficiency. Launched in 2021, Matlantis is a cloud-based atomistic simulator jointly developed by PFN and ENEOS. The platform uses deep learning to increase simulation speeds by tens of thousands of times and serves over 150 companies discovering materials including catalysts, batteries and semiconductors.

CNBC
Apr 14th, 2026
Nvidia stock surges 18% on 10-day winning streak fuelled by $1T GPU orders through 2027

Nvidia shares have climbed 18% over a ten-day winning streak, the longest since 2023. The stock is trading about 8% below its October all-time high of $212.19. CEO Jensen Huang revealed at last month's GTC conference that Nvidia has over $1 trillion in GPU orders through 2027, including Blackwell and next-generation Vera Rubin chips. Data centre revenue surged 75% year-over-year and now comprises 88% of the business, a dramatic shift from five years ago when gaming dominated. The rally follows major deals including Meta's February commitment to deploy millions of Nvidia chips across its global data centres. On Monday, Nvidia denied rumours it was pursuing acquisitions of PC makers Dell or HP. The company also unveiled Ising, a new family of open-source models for quantum computing.

Yahoo Finance
Apr 14th, 2026
D-Wave CEO claims quantum computers could challenge Nvidia's AI dominance with superior power efficiency

D-Wave Quantum CEO Alan Baratz claims quantum computing poses a threat to Nvidia, citing superior energy efficiency. Speaking at the Semafor World Economy Summit, Baratz said D-Wave's quantum computer uses just 10 kilowatts of power—equivalent to five or 10 GPUs—whilst solving problems that would take GPU systems nearly a million years. D-Wave shares rose nearly 16% on Tuesday, part of a 140% gain over the past year. The company reported $2.75 million in Q4 revenue, missing analyst estimates, but bookings surged 471% to $13.4 million. The $5.3 billion company recently secured a $20 million agreement with Florida Atlantic University and acquired Quantum Circuits for $550 million. However, quantum machines remain specialised tools, unable to run large language models that drive Nvidia's dominance.

Yahoo Finance
Apr 14th, 2026
Vertiv partners with Nvidia on AI data centre infrastructure as analysts raise price target to $300

Vertiv Holdings has been reaffirmed with a Buy rating by Evercore ISI, setting a price target of $280, whilst Barclays raised its target from $281 to $300 with an Overweight rating. The electrical equipment company is partnering with Nvidia on AI infrastructure development. On 16th March, Nvidia introduced its Vera Rubin DSX AI Factory reference design, with Vertiv providing critical power and cooling solutions for AI data centres. The partnership integrates Vertiv's infrastructure expertise with Nvidia's AI systems to enhance energy efficiency and performance. Vertiv is developing Vertiv OneCore Rubin DSX, a prefabricated system designed to accelerate AI factory deployment. The Brussels-headquartered company specialises in critical digital infrastructure technologies for data centres and communication networks.

Yahoo Finance
Apr 14th, 2026
Nvidia and Dell: AI infrastructure stocks to buy ahead of May earnings

Nvidia and Dell Technologies are positioned as attractive AI infrastructure investments ahead of their May earnings reports, according to recent analysis. Both companies supply critical hardware for AI computing, with demand for AI capacity continuing to outpace available resources across major cloud services. Nvidia shares have remained flat for six months despite strong fundamentals. Last quarter, its data centre business generated $62 billion in revenue, up 75% year over year, with a 75% gross margin. The company expects over $1 trillion in cumulative orders for its Blackwell and upcoming Rubin chips through 2027. Trading at 17 times next year's expected earnings, Nvidia's valuation appears discounted relative to its 66% revenue growth in fiscal year 2026. Dell Technologies similarly stands to benefit from the AI infrastructure build-out. Both companies report earnings in May.