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Nvidia
3.7
based on 538 Reviews
Video summary
Company Overview
Company Locations
Working at Nvidia
Company Summary
NVIDIA, inventor of the GPU, which creates interactive graphics on laptops, workstations, mobile devices, notebooks, PCs, and more.
Overall Rating
3.7/5
based on 538 reviews
On-Par
with industry average
Critically rated for
Promotions, Work satisfaction, Skill development
Work Policy
Permanent work from home
71% employees reported
Monday to Friday
96% employees reported
Flexible timing
66% employees reported
No travel
85% employees reported
View detailed work policy
Top Employees Benefits
Office cab/shuttle
48 employees reported
Free meal
43 employees reported
Health insurance
38 employees reported
Cafeteria
35 employees reported
View all benefits
About Nvidia
Founded in1993 (32 yrs old)
India Employee Count1k-5k
Global Employee Count10k-50k
HeadquartersSanta Clara, California, United States (USA)
Office Locations
Websitenvidia.com
Primary Industry
Other Industries
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View in video summary
Nvidia Corporation is an American worldwide technology company based in Santa Clara, California. Nvidia manufactures graphics processing units (GPUs), as well as system-on-a-chip units (SOCs) for the mobile computing market. Nvidia's primary GPU product line, labeled "GeForce", is in direct competition with AMD's "Radeon" products.
Nvidia also joined the gaming industry with its handheld Shield Portable and Shield Tablet, as well as the tablet market with the Tegra Note 7.
Mission: Collaboratively explore novel hybrid computing architectures and programming environments that provide maximum benefit to the scientific user community.
Vision: Build a great company and be the most important 3D graphics company in the world.
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Nvidia Ratings
based on 538 reviews
Overall Rating
3.7/5
How AmbitionBox ratings work?
5
263
4
143
3
58
2
28
1
46
Category Ratings
3.6
Company culture
3.4
Work-life balance
3.3
Job security
3.3
Salary
3.2
Skill development
3.2
Work satisfaction
2.9
Promotions
Nvidia is rated 3.7 out of 5 stars on AmbitionBox, based on 538 company reviews.This rating reflects an average employee experience, indicating moderate satisfaction with the company’s work culture, benefits, and career growth opportunities. AmbitionBox gathers authentic employee reviews and ratings, making it a trusted platform for job seekers and employees in India.
Read more
Gender Based Ratings at Nvidia
based on 513 reviews
3.6
Rated by 154 Women
Rated 3.4 for Company culture and 3.2 for Work-life balance
3.7
Rated by 359 Men
Rated 3.6 for Company culture and 3.5 for Work-life balance
Work Policy at Nvidia
based on 72 reviews in last 6 months
Permanent work from home
71%
Hybrid
19%
Work from office
10%
Nvidia Reviews
Top mentions in Nvidia Reviews
+ 5 more
Compare Nvidia with Similar Companies
Change Company | Change Company | Change Company | ||
|---|---|---|---|---|
Overall Rating | 3.7/5 based on 538 reviews | 3.8/5 based on 955 reviews | 4.2/5 based on 1k reviews | 3.8/5 based on 250 reviews |
Highly Rated for | No highly rated category | Salary | Work-life balance Company culture Skill development | Work-life balance |
Critically Rated for | Promotions Skill development Work satisfaction | No critically rated category | No critically rated category | Promotions |
Primary Work Policy | Permanent work from home 71% employees reported | Work from office 59% employees reported | Hybrid 86% employees reported | Hybrid 50% employees reported |
Rating by Women Employees | 3.6 Good rated by 154 women | 3.9 Good rated by 159 women | 4.4 Good rated by 227 women | 3.5 Good rated by 41 women |
Rating by Men Employees | 3.7 Good rated by 359 men | 3.8 Good rated by 710 men | 4.2 Good rated by 698 men | 3.8 Good rated by 189 men |
Job security | 3.3 Average | 3.6 Good | 3.6 Good | 3.5 Good |
View more
Nvidia Salaries
Nvidia salaries have received with an average score of 3.3 out of 5 by 538 employees.
Processing Executive
(1.1k salaries)
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₹2 L/yr - ₹4 L/yr
Quality Analyst
(148 salaries)
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₹2.5 L/yr - ₹4 L/yr
Software Engineer
(139 salaries)
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₹8.4 L/yr - ₹34.5 L/yr
Data Analyst
(121 salaries)
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₹1.9 L/yr - ₹5.6 L/yr
Senior Software Engineer
(98 salaries)
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₹16.4 L/yr - ₹51.5 L/yr
System Software Engineer
(82 salaries)
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₹13.4 L/yr - ₹40 L/yr
Team Lead
(80 salaries)
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₹3.8 L/yr - ₹5 L/yr
Senior System Software Engineer
(74 salaries)
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₹23.9 L/yr - ₹72 L/yr
Process Associate
(71 salaries)
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₹2.2 L/yr - ₹3.6 L/yr
Software Developer
(49 salaries)
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₹30 L/yr - ₹50 L/yr
Nvidia Interview Questions
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Nvidia News
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Hope you weren’t planning to play PhysX games on Nvidia’s new 50-series GPUs
- Nvidia has quietly removed support for PhysX in its latest graphics chips, resulting in older PhysX games running faster on last-gen cards than on new RTX 50-series GPUs.
- PhysX, a GPU-accelerated technology, provided realistic physics simulations in a few dozen games including Mirror's Edge, Batman: Arkham games, Assassin's Creed, and Metro series.
- Without GPU acceleration, PhysX exhibits poor performance, leading to lower frame rates in games like Mirror's Edge, Batman: Arkham Asylum, Batman: Arkham City, and Cryostasis.
- While most modern games have alternative physics solutions, Nvidia's removal of PhysX support in the latest GPUs highlights limitations in the performance and value of the new RTX 50-series cards.
The Verge | 20 Feb, 2025
Upcoming HP laptop could be a good sign for Nvidia’s delayed GPUs
- Upcoming HP laptop, Victus 15, is expected to support Nvidia's GeForce RTX 5050 and RTX 5060 GPUs.
- The HP Victus 15 laptop is rumored to run on the Intel Raptor Lake platform and can be upgraded to Nvidia's Blackwell GPU.
- These specifications indicate that the Victus 15 could be a budget gaming laptop.
- While the information has not been confirmed by HP or Nvidia, reports suggest pre-orders for laptops featuring the RTX 5050 GPU will be available in February.
Digitaltrends | 20 Feb, 2025
Who’s the new mid-range gaming king? RTX 5070, or RX 9070?
- The RTX 5070 and RX 9070 are two enticing mid-range gaming cards of 2025, popular for their affordability and performance balance.
- RTX 5070 is set to launch on March 5 with a price tag of $550, while the RX 9070's pricing and availability details are yet to be officially announced by AMD.
- Specs comparison shows the RTX 5070 with 6,144 graphics cores and 12GB GDDR7 memory, while the RX 9070 is rumored to have 4,096 cores and 16GB GDDR6.
- Performance predictions suggest the RTX 5070 might be 20-30% faster than its predecessor, while the RX 9070 could compete closely with the 5070, offering similar performance levels.
- Nvidia's DLSS 4 and AMD's FSR4 technology play a significant role in upscaling and frame generation competition between the two cards.
- AMD aims to offer comparable performance to the 5070 with extra features like more memory and dynamic upscaling technology at a potentially competitive price point.
- AMD's success will hinge on pricing and availability, with a lower price point and sufficient stock potentially making the RX 9070 a popular choice among gamers.
- It remains to be seen whether AMD can meet the moment with its RX 9070 in terms of pricing, stock availability, and performance compared to Nvidia's RTX 5070.
- The article also discusses the potential impact of GPU pricing trends and the importance of AMD's pricing strategy for the success of the RX 9070 in the market.
- The competition between the RTX 5070 and RX 9070 is anticipated to be closely fought, with factors like performance, price, and technology implementations playing key roles in determining the better buy.
Digitaltrends | 20 Feb, 2025
Asus’ new portable Nvidia GeForce RTX 5090 is coming, but it won’t be cheap
- A new leak suggests that the launch date for the new Asus ROG XG Mobile external GPU (eGPU) is imminent.
- This portable gaming GPU will provide gamers with a plug-in upgrade to either an Nvidia GeForce RTX 5090 or RTX 5070 Ti for their gaming laptop or handheld gaming PC.
- However, while it will be a tempting performance upgrade for many gamers, its rumored price could put many off.
- This particular Asus model is a much smaller, all-in-one solution that uses the laptop equivalent GPUs of some of the best graphics cards from Nvidia.
Pcgamesn | 20 Feb, 2025
NVIDIA and Arc Institute Unveil an AI Model to Predict DNA, RNA & Proteins
- California-based nonprofit Arc Institute and Stanford University, in collaboration with NVIDIA, have unveiled Evo 2, the largest publicly available AI model for genomic data.
- Evo 2 can predict and design the genetic code of DNA, RNA, and proteins for all domains of life.
- The model has been trained on nearly 9 trillion nucleotides, and it is fully open to accelerate biological complexity exploration.
- The AI model can be used in biomolecular research applications, including protein structure prediction, identifying novel molecules, and studying gene mutations.
Analyticsindiamag | 20 Feb, 2025
Introducing A4X VMs powered by NVIDIA GB200 — now in preview
- The preview of A4X VMs, powered by NVIDIA GB200 NVL72, introduces an integrated system with 72 Blackwell GPUs and 36 Arm-based NVIDIA Grace CPUs connected via fifth-generation NVIDIA NVLink to cater to reasoning models and complex AI tasks.
- A4X VMs offer enhanced training performance with over 1 exaflop per GB200 NVL72 system, allowing a 4X increase in LLM training performance compared to A3 VMs powered by NVIDIA H100 GPUs.
- Scalability and parallelization are key features, facilitating the deployment of models across tens of thousands of Blackwell GPUs and maximizing GPU utilization.
- The optimized A4X architecture is designed for low-latency inference, especially for reasoning models using chain-of-thought techniques, sharing memory and workload across all 72 GPUs for improved performance.
- Google Cloud's infrastructure advantage with A4X VMs includes Hypercompute Cluster for managing large clusters, high-performance networking fabric for efficient GPU-to-GPU traffic, and advanced liquid cooling for peak computational performance.
- The A4X system is integrated with software optimizations for Arm-based hosts, ensuring performance-optimized software like libraries and drivers for popular frameworks such as PyTorch and JAX.
- A4X VMs offer native integration with Google Cloud products and services, including Cloud Storage FUSE for better training throughput, GKE compatibility for maximized resource usage, and Vertex AI Platform for accelerated AI project development.
- Customers like Magic have chosen A4X VMs for their AI supercomputing needs, leveraging enhanced performance and scalability for demanding workloads.
- The collaboration between Google and NVIDIA will bring NVIDIA DGX Cloud, a managed AI platform, to A4X VMs, offering improved performance and scalability for AI initiatives.
- A guide to choosing between A4 and A4X VMs is provided, with A4X recommended for complex reasoning models and large-scale workloads, while A4 is suitable for diverse AI model architectures and workloads.
- For more information about A4X, interested parties are advised to contact their Google Cloud representative and explore its benefits at Google Cloud Next.
Cloudblog | 19 Feb, 2025
Massive Foundation Model for Biomolecular Sciences Now Available via NVIDIA BioNeMo
- Evo 2, a large foundation model understanding the genetic code for all life domains, is now available to global developers on NVIDIA BioNeMo.
- Trained on a dataset of 9 trillion nucleotides, Evo 2 aids in biomolecular research for protein form prediction, molecule identification, and gene mutation analysis.
- Evo 2 opens possibilities in healthcare and environmental science by advancing generative genomics research.
- Developers can fine-tune Evo 2 using the open-source NVIDIA BioNeMo Framework to create biological sequences.
- Arc Institute collaborates with NVIDIA to offer advanced computing tools for complex scientific research projects.
- The collaboration aims to accelerate biological design processes, making it more accessible and efficient for researchers.
- Arc Institute provides long-term funding and resources for researchers to focus on innovative scientific research.
- NVIDIA's contribution to the Evo 2 project includes providing researchers access to NVIDIA H100 GPUs through the DGX Cloud platform.
- Evo 2 has applications in various scientific fields such as healthcare, agriculture, and materials science, providing insights into DNA, RNA, and proteins.
- The novel model architecture of Evo 2 enables the processing of lengthy genetic sequences, contributing to a deeper understanding of genetic connections.
Nvidia | 19 Feb, 2025
AI cloud startup Lambda raises $480 million in new round; Nvidia among investors
- Cloud computing firm Lambda raises $480 million in a Series D equity round, with investors like Nvidia participating.
- The round was co-led by Andra Capital and SGW, elevating Lambda's equity raised to $863 million.
- The funding round reportedly gave Lambda a post-money valuation of $2.5 billion.
- Lambda offers cloud services and software for AI model training and deployment, leasing Nvidia-powered servers.
- The company's offerings include software and hosted access for enterprises to run various AI models.
- Lambda CEO Stephen Balaban mentioned that they're well-positioned for open-source AI models like DeepSeek-R1.
- The launch of DeepSeek-R1 surged demand for Nvidia H200 chips, prompting pre-purchases of Lambda's H200 capacity.
- The new investment will be utilized to procure more Nvidia chips, expand software products like Model Inference API, and the Chat AI Assistant.
- Founded in 2012, Lambda caters to over 5,000 customers in industries such as manufacturing, finance, and government.
- The company plans to capitalize on the rising demand for AI technologies and continue its growth trajectory.
Economic Times | 19 Feb, 2025
Nvidia GeForce RTX 5070 Ti review: a cheaper RTX 4080
- Nvidia's new RTX 5070 Ti graphics card outperforms last-gen expensive cards at a lower price of $749.
- It beats AMD's RX 7900 XT and is comparable to Nvidia's RTX 5080.
- The RTX 5070 Ti is about 14% faster at 4K and 22% faster at 1440p compared to the RTX 4070 Ti.
- It is a good deal at $749 MSRP, but prices are increasing.
The Verge | 19 Feb, 2025
Telcos Dial Up AI: NVIDIA Survey Unveils Industry’s AI Trends
- An increasing focus on deploying AI into radio access networks (RANs) was among the key findings of NVIDIA’s third annual “State of AI in Telecommunications” survey.
- 84% of respondents said AI is helping to increase their company’s annual revenue, and 77% said AI helped reduce annual operating costs.
- 60% mentioned that increased employee productivity was their biggest benefit from AI, and 44% are investing in AI for customer experience optimization.
- 37% of respondents are investing in AI to improve network planning and operations, and generative AI is gaining significant attention in telecoms.
Nvidia | 19 Feb, 2025
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Nvidia FAQs
When was Nvidia founded?
Nvidia was founded in 1993. The company has been operating for 32 years primarily in the Hardware & Networking sector.
Where is the Nvidia headquarters located?
Nvidia is headquartered in Santa Clara, California. It operates in 4 cities such as Pune, Hyderabad / Secunderabad, Bangalore / Bengaluru, Mumbai. To explore all the office locations, visit Nvidia locations.
How many employees does Nvidia have in India?
Nvidia currently has more than 3,300+ employees in India. Engineering - Software & QA department appears to have the highest employee count in Nvidia based on the number of reviews submitted on AmbitionBox.
Does Nvidia have good work-life balance?
Nvidia has a work-life balance rating of 3.4 out of 5 based on 500+ employee reviews on AmbitionBox. 25% employees rated Nvidia 3 or below, while 75% employees rated it 4 or above for work-life balance. This rating suggests that while some employees recognize efforts towards work-life balance, there is scope for improvement based on employee feedback. We encourage you to read Nvidia work-life balance reviews for more details
Is Nvidia good for career growth?
Career growth at Nvidia is rated as poor, with a promotions and appraisal rating of 2.9. 25% employees rated Nvidia 3 or below on promotions/appraisal. This rating reflects a negative sentiment among employees for career growth. We recommend reading Nvidia promotions/appraisals reviews for more detailed insights.
What are the cons of working in Nvidia?
Working at Nvidia does have some drawbacks that potential employees should consider. The company is poorly rated for promotions / appraisal, work satisfaction and skill development, based on 500+ employee reviews on AmbitionBox.
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