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Nvidia
3.7
based on 543 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 543 reviews
On-Par with
industry average
Critically rated for
Promotions, Work satisfaction, Skill development
Work Policy
Permanent work from home
74% employees reported
Monday to Friday
97% 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
Sopra Steria
Success to our employee's well-being? A work-life balance that's simply unbeatable.
Our employees have rated us 4 for Work-Life Balance on AmbitionBox
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 543 reviews
Overall Rating
3.7/5
How AmbitionBox ratings work?
5
264
4
143
3
60
2
28
1
48
Category Ratings
3.5
Company culture
3.4
Work-life balance
3.3
Job security
3.3
Salary
3.2
Skill development
3.2
Work satisfaction
2.8
Promotions
Nvidia is rated 3.7 out of 5 stars on AmbitionBox, based on 543 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 518 reviews
3.5
Rated by 157 Women
Rated 3.3 for Company culture and 3.1 for Work-life balance
3.7
Rated by 361 Men
Rated 3.6 for Company culture and 3.5 for Work-life balance
Work Policy at Nvidia
based on 76 reviews in last 6 months
Permanent work from home
74%
Hybrid
16%
Work from office
10%
Nvidia Reviews
Top mentions in Nvidia Reviews
+ 5 more
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Compare Nvidia with Similar Companies
 |  Change Company |  Change Company |  Change Company | |
|---|---|---|---|---|
Overall Rating | 3.7/5 based on 543 reviews | 3.8/5 based on 973 reviews | 4.2/5 based on 937 reviews | 3.7/5 based on 257 reviews |
Highly Rated for |  No highly rated category | Salary | Work-life balance Company culture Skill development | No highly rated category |
Critically Rated for | Promotions Skill development Work satisfaction |  No critically rated category | No critically rated category | Promotions |
Primary Work Policy | Permanent work from home 74% employees reported | Work from office 61% employees reported | Hybrid 84% employees reported | Hybrid 56% employees reported |
Rating by Women Employees | 3.5 Good rated by 157 women | 3.9 Good rated by 162 women | 4.4 Good rated by 213 women | 3.4 Average rated by 42 women |
Rating by Men Employees | 3.7 Good rated by 361 men | 3.8 Good rated by 724 men | 4.1 Good rated by 638 men | 3.8 Good rated by 195 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 543 employees.
Processing Executive
(1.1k salaries)
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₹2 L/yr - ₹3.8 L/yr
Quality Analyst
(143 salaries)
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₹2.5 L/yr - ₹4 L/yr
Software Engineer
(143 salaries)
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₹12 L/yr - ₹35 L/yr
Data Analyst
(119 salaries)
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₹1.9 L/yr - ₹5 L/yr
Senior Software Engineer
(105 salaries)
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₹15.8 L/yr - ₹50.4 L/yr
System Software Engineer
(82 salaries)
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₹11 L/yr - ₹40 L/yr
Team Lead
(79 salaries)
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₹3.8 L/yr - ₹5 L/yr
Senior System Software Engineer
(74 salaries)
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₹25 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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₹30.4 L/yr - ₹50 L/yr
Nvidia Interview Questions
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Nvidia Jobs
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Nvidia News
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Nvidia’s upcoming budget GPUs could be underwhelming for gamers
- Nvidia is expected to release budget GPUs in its latest RTX 50 series, with leaked specifications of RTX 5050, 5060, and 5060 Ti.
- RTX 5060 Ti will have 4,608 CUDA cores, a modest 5.7% increase compared to its predecessor, and 8GB or 16GB of GDDR7 memory.
- RTX 5060 will have 3,840 CUDA cores, a notable 22.22% increase over the previous generation, and 8GB of GDDR7 memory.
- RTX 5050 will have 2,560 CUDA cores, retaining GDDR6 memory and a TDP of 130W.
Digitaltrends | 10 Mar, 2025
Gaming And Cloud Computing
- Cloud computing has revolutionized the gaming industry, making high-quality games accessible to players without the need for powerful hardware.
- Streaming platforms like Google Stadia, Xbox Cloud Gaming, and NVIDIA GeForce Now have made gaming more affordable, scalable, and convenient.
- Cloud gaming eliminates the requirement for expensive gaming consoles or high-end PCs, reducing costs for gamers.
- Cloud gaming relies on high-speed internet and can be vulnerable to data breaches or server attacks, posing a risk to user information.
Medium | 10 Mar, 2025
Is the Metaverse a Technological Revolution or Just Another Bubble?
- The metaverse is considered the future of digital interaction, virtual economies, and decentralized ownership, with tech giants investing billions in its development.
- Expectations included a persistent, fully immersive virtual world with digital ownership through NFTs and blockchain, transforming work and collaboration, and creating a multi-trillion-dollar economy.
- However, the reality has shown low rates of user engagement, declining NFT and virtual land prices, niche VR and AR technologies, and a lack of interoperability among platforms.
- The future of the metaverse may involve AI-driven virtual worlds, enterprise applications driving growth, and continued roles for Web3 and blockchain technologies.
- Despite setbacks, the metaverse remains in development, with potential in areas like AI integration, enterprise use cases, and blockchain applications for digital identity and asset ownership.
- The metaverse's evolution suggests a shift towards more practical and less revolutionary implementations, indicating that it is a concept that is maturing rather than dying out.
- The ultimate question is whether society is prepared for the evolution and changes the metaverse will bring in the future.
Hackernoon | 9 Mar, 2025
EY launches Telecom.ai Agentic solution built with NVIDIA AI Enterprise for telecommunications providers
- EY has launched Telecom.ai Agentic solution, a suite of AI agents for telecommunication providers.
- Telecom.ai is powered by NVIDIA AI Enterprise and includes NeMo Retriever, NeMo Guardrails, and NVIDIA Blueprints.
- The Contract Intelligence (CI) agent automates contract analysis to improve efficiency and decision-making for telecom providers.
- EY Telecom.ai addresses the challenge of managing vendor contracts and offers real-time visibility into contractual obligations and performance metrics.
Alertify | 9 Mar, 2025
AI Singularity and the End of Moore’s Law: The Rise of Self-Learning Machines
- Moore’s Law, predicting technological progress, is losing momentum as transistors reach atomic-scale limits, while AI computing power advances rapidly.
- AI's unique ability to learn continuously and improve algorithms has led to significant efficiency and performance gains compared to traditional computing.
- The AI singularity, where AI surpasses human intelligence, is approaching rapidly, potentially reaching Artificial Superintelligence (ASI) by 2027.
- AI scaling relies on parallel processing, machine learning, and specialized hardware, shifting away from Moore's Law's transistor-focused advancements.
- Companies like Nvidia are developing specialized AI processors to meet the growing demand for computational power driven by AI advancements.
- AI systems, such as Tesla's Dojo supercomputer, are designed for handling massive workloads and training advanced models efficiently.
- AI's recursive self-improvement capability accelerates its development towards ASI, leading to a new era of intelligent computing.
- The AI singularity depends on the development of AGI and experts have varying predictions on when it might occur, with some suggesting as early as 2027.
- Efforts are underway to ensure AI systems remain aligned with human values and objectives to mitigate risks associated with AI's rapid development.
- While superintelligent AI offers transformative potential across industries, risks of loss of human control and existential threats must be carefully managed.
Unite | 9 Mar, 2025
How I Made Autonomous Vehicle AI 40% Faster Without Losing Accuracy
- Autonomous vehicles require fast and precise real-time perception, which can be challenging with large amounts of LiDAR points and high-resolution images.
- Optimizing multi-modal perception models involves sensor fusion, model quantization, and TensorRT acceleration to improve speed and accuracy.
- Addressing the lag between LiDAR and camera data, ego-motion compensation with Kalman filters was utilized to dynamically adjust LiDAR points.
- Implementing sensor fusion techniques like projecting LiDAR points onto the image plane improved object detection accuracy by 29%.
- By leveraging TensorRT and quantization methods, the inference time was reduced by 40% without sacrificing accuracy, enhancing performance on embedded hardware.
- TensorRT was used to optimize computation graphs and INT8 quantization compressed 32-bit floating points into 8-bit representations, making computations faster.
- The application of end-to-end learning in autonomous vehicles aims to integrate perception and planning in a single deep learning pipeline, advancing AI-driven navigation.
- By combining sensor fusion, ego-motion correction, and TensorRT acceleration, significant improvements were made in autonomous AI speed and intelligence.
- The next phase involves scaling these advancements for practical deployment in autonomous vehicles, bridging the gap between research and real-world implementation.
- Key areas for further exploration include end-to-end learning models, massive dataset training, interpretability challenges, and advancing AI-driven navigation technology.
- For more in-depth understanding, additional resources on NVIDIA TensorRT for inference, multi-modal fusion in autonomous vehicles, and end-to-end learning for self-driving are recommended.
Hackernoon | 9 Mar, 2025
Traders Who Bought Trump’s ‘Pro Growth’ Plan Now Pay For It
- Equities investors have become concerned about slowing economic growth in the US, leading to fear and uncertainty in the markets.
- The S&P 500 Index has erased gains since Trump's election, with the Nasdaq 100 slipping into a correction.
- Inflation, rising unemployment, and slowing growth have fueled caution among economists and strategists.
- Uncertainty prevails regarding Trump's tariff plans and the potential for a trade war.
- Tech stocks, typically resilient, have also faced significant losses, with Nvidia losing market value.
- Investors express confusion over the implications of Trump's policies, including tax cuts and tariffs.
- Retail traders and hedge fund professionals are uncertain about the long-term impact of Trump's strategies.
- The turbulent market conditions have prompted reevaluation of bullish forecasts for stocks in 2025.
- Focus shifts to Corporate America's profit growth to sustain high equity valuations.
- Federal Reserve decisions and economic data releases will influence market movements in the coming weeks.
Bloomberg Quint | 8 Mar, 2025
NVIDIA Beware : AMD’s 970 XT GPU Delivers Flagship Performance for Less
- AMD's latest GPU release, the 970 XT, challenges NVIDIA's dominance in the market by offering impressive performance at a more affordable price.
- The AMD 970 XT competes with NVIDIA's high-performing GPUs like the 570 Ti, boasting a 15% performance lead and notable game-specific performance advantages.
- Priced at $600, the 970 XT offers a great price-to-performance ratio, making it an appealing choice for gamers seeking high-end performance without the premium cost.
- In terms of traditional rasterization performance, the 970 XT excels, making it a compelling option for gamers prioritizing value over innovative features like ray tracing.
- However, the 970 XT may not appeal to users prioritizing features like ray tracing or energy efficiency, areas where NVIDIA's GPUs have a clear advantage.
- Professional users may find AMD GPUs like the 970 XT lacking in optimizing 3D rendering and other professional workloads compared to NVIDIA's offerings.
- Despite occasional driver issues, the 970 XT remains a strong contender for gaming enthusiasts, offering competitive pricing and solid performance.
- The 970 XT's success in disrupting the GPU market depends on factors like supply availability and pricing stability, which could impact its overall impact.
- While the 970 XT is well-rounded for gamers focused on traditional rendering, NVIDIA still holds an edge for users prioritizing ray tracing, energy efficiency, or professional workloads.
- Overall, the AMD 970 XT represents a significant step for AMD in challenging NVIDIA's market dominance, providing strong performance and value for gamers considering high-resolution gaming.
Geeky-Gadgets | 8 Mar, 2025
The most iconic tech billionaire uniforms
- Steve Jobs was known for his black turtleneck and blue jeans.
- Mark Zuckerberg's signature look included hoodies and flip-flops.
- Jeff Bezos has undergone a fashion transformation in recent years.
- Jensen Huang, CEO of Nvidia, is often seen in black leather jackets.
Insider | 8 Mar, 2025
AIM Print Mar 2025 Edition
- AIM Media House has unveiled the March 2025 edition of its magazine, 'AI INSIDER V25.03.06', focusing on the transformational impact of artificial intelligence (AI) on various industries and global business dynamics.
- The cover story highlights India's Global Capability Centres (GCCs) and their role in reshaping global business operations.
- The edition explores technology advancements, including NVIDIA's shift to become a leader in robotics and the influence of AI on Indian cinema.
- AI's societal impact is also discussed, with insights from industry leaders emphasizing the importance of accessible AI solutions in local languages.
Analyticsindiamag | 8 Mar, 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 2.8. 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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