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Advantest
3.9
based on 4 Reviews
About Advantest
Founded in--
India Employee Count--
Global Employee Count--
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Websiteadvantest.com
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Advantest Ratings
based on 4 reviews
Overall Rating
3.9/5
How AmbitionBox ratings work?
5
2
4
1
3
0
2
1
1
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Category Ratings
4.4
Work-life balance
4.2
Job security
3.6
Company culture
3.6
Salary
3.6
Promotions
3.4
Skill development
3.4
Work satisfaction
Advantest is rated 3.9 out of 5 stars on AmbitionBox, based on 4 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.
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Advantest Reviews
Compare Advantest with Similar Companies
Change Company | Change Company | Change Company | ||
|---|---|---|---|---|
Overall Rating | 3.9/5 based on 4 reviews | 3.7/5 based on 91.4k reviews | 3.7/5 based on 54k reviews | 3.8/5 based on 57.6k reviews |
Highly Rated for | Work-life balance Job security | Job security Work-life balance | Job security | Job security Company culture |
Critically Rated for | No critically rated category | Promotions Salary Work satisfaction | Promotions Salary | Promotions |
Primary Work Policy | - | Work from office 81% employees reported | Hybrid 62% employees reported | Hybrid 74% employees reported |
Rating by Women Employees | - no rating available | 3.7 Good rated by 26.5k women | 3.8 Good rated by 15.5k women | 3.9 Good rated by 21.6k women |
Rating by Men Employees | - no rating available | 3.6 Good rated by 59.7k men | 3.7 Good rated by 36k men | 3.8 Good rated by 33.4k men |
Job security | 4.2 Good | 4.5 Good | 3.8 Good | 3.8 Good |
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Advantest Salaries
Advantest salaries have received with an average score of 3.6 out of 5 by 4 employees.
Software Engineer
(14 salaries)
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₹3.5 L/yr - ₹9.2 L/yr
Senior Software Engineer
(5 salaries)
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₹7.2 L/yr - ₹15 L/yr
Software Developer
(5 salaries)
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₹3.7 L/yr - ₹10 L/yr
HR Recruiter
(4 salaries)
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₹3.3 L/yr - ₹3.3 L/yr
Data Engineer
(3 salaries)
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₹28 L/yr - ₹35 L/yr
Senior Wireless Engineer
(2 salaries)
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₹5.3 L/yr - ₹6.8 L/yr
Senior Engineer
(2 salaries)
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₹28.8 L/yr - ₹36.8 L/yr
Softwaretest Engineer
(2 salaries)
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₹9 L/yr - ₹11.4 L/yr
Module Lead
(2 salaries)
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₹11.5 L/yr - ₹14.7 L/yr
Associate Software Engineer
(1 salaries)
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₹3.6 L/yr - ₹4.6 L/yr
Advantest Jobs
Popular Designations Advantest Hires for
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Advantest News
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AI Semiconductors Require An Integrated Test Solution
- The proliferation of large language models is driving growth in AI chip market for accelerating AI computing, with GPUs and dedicated AI chips showing promise for different applications.
- Research firms predict significant market growth for AI-capable chips, with varying revenue projections highlighting the market's rapid expansion.
- Advantest offers diverse test solutions for AI chips, emphasizing high-quality, cost-effective testing methods for various applications.
- AI chip test challenges include managing test data distribution, test flow adaptability, and dynamic failure analysis to optimize costs and yield.
- Advantest's AI chip test products include thermal solutions, handlers, test-interface boards, and cloud services for data management and analytics.
- Efficient scan test execution, power supply requirements, and system-like test considerations are crucial aspects addressed by Advantest's test solutions.
- Advantest leverages ML for testing ML-capable devices, demonstrating reduced test time and cost through intelligent prediction models.
- As the complexity of AI-enabled chip testing intensifies, Advantest remains at the forefront with cutting-edge hardware and cloud-based services to meet evolving industry demands.
- Advantest's comprehensive portfolio ensures customers are equipped to leverage AI technology effectively and stay ahead in the rapidly evolving semiconductor landscape.
- By anticipating future testing needs and technological advancements, Advantest enables its partners to navigate the transformative era of AI with confidence and innovation.
Semiengineering | 11 Mar, 2025
Chip Industry Week In Review
- Apple plans to invest over $500 billion in the U.S. by building a new server factory and expanding facilities across several states, including Arizona and Texas.
- NIST introduced a new cybersecurity framework for chip manufacturing to mitigate cyber threats.
- imec achieved more than 90% yield on 20nm pitch metal lines using high-NA EUV technology for chip production.
- SkyWater Technology is set to acquire Infineon's 200mm Fab 25 in Texas to enhance U.S. capacity for various nodes required for industrial and defense sectors.
- Arm unveiled its Armv9 edge AI platform tailored for IoT applications, capable of running AI models with more than 1 billion parameters on-device.
- Micron started shipping its DDR5 memory based on the 1γ (10nm-class) DRAM node.
- Amazon Web Services introduced a quantum computing chip using 'cat qubits' to lower quantum error correction costs.
- GlobalFoundries and MIT announced a research agreement focused on leveraging silicon photonics technology.
- ASM, NVIDIA, Navitas, Synopsys, SkyWater Technology, and Valens released financial updates.
- Advantest and Micronics Japan partnered to develop advanced semiconductor test solutions, while Western Digital and Sandisk completed their separation.
Semiengineering | 28 Feb, 2025
Chip Industry Week In Review
- Worldwide silicon wafer shipments declined nearly 2.7% to 12,266 million square inches in 2024, with wafer revenue contracting 6.5% to $11.5 billion.
- CSIS released a new report focusing on building a secure mineral supply chain for semiconductors, particularly in refining gallium and germanium.
- Europe is investing significantly in AI infrastructure projects, with France announcing over €109 billion in investments and the EU Commission launching InvestAI initiative.
- Advantest introduced an ultra-high-speed DRAM test system for GDDR7, LPDDR6, and DDR6 applications in AI, HPC, and edge technologies.
- Synopsys expanded its hardware-assisted verification portfolio with new prototyping and emulation systems based on AMD's Versal adaptive SoC.
- Semiconductor Engineering delved into topics like signal integrity in chiplet design and multi-physics in the Low Power-High Performance newsletter.
- Lam Research, TSMC, and other companies in Asia and Europe made notable investments and collaborations in the semiconductor industry.
- NXP plans to acquire Kinara, Groq secures a $1.5 billion commitment, and other companies like EnCharge AI and Salience Labs receive significant funding.
- Yole Group and TrendForce provided insights on the semiconductor and AI server markets, with expectations of strong growth rates and challenges for 2025.
- Google Cloud shared solutions for power spikes in AI workloads, while advancements in quantum computing and supercomputing were also highlighted.
- Companies like Nordson, Siemens EDA, Infineon, and Ansys announced new products, collaborations, and achievements in various technology sectors.
Semiengineering | 14 Feb, 2025
Optimizing DFT With AI And BiST
- AI and machine learning are changing DFT strategies by optimizing architecture through smart technologies.
- AI can analyze designs, suggest DFT architecture improvements, and speed up design implementation.
- AI helps in ATPG pattern generation, reducing test time and cost by exploring optimal parameter combinations.
- Collaboration between design and test teams is crucial for effective DFT, ensuring seamless integration across design stages.
- Logic and memory BiST face challenges, with the need for adaptive and comprehensive end-to-end test solutions.
- In-system deterministic test patterns streamline testing processes, enabling detailed diagnosis without hardware removal in data center applications.
- Real-time data sharing, machine learning, and collaborative approaches enhance DFT capabilities and adaptability.
- Effective DFT strategies require observability, controllability principles, and continuous innovation to address complex design challenges.
- Power distribution, flexibility in architecture, and tailored testing approaches are critical considerations for efficient DFT.
- Improving fault coverage, optimizing test costs, and integrating advanced technologies are essential for achieving cost-effective DFT solutions.
Semiengineering | 12 Feb, 2025
Early Detection Of C-RES Degradation On High-Current Power Planes
- Probe-card or device contactor damage can be dramatic and catastrophic, with yield dropping drastically very quickly.
- One possibility for detecting the onset of probe or contactor degradation is to measure contact resistance (C-RES).
- Low-current C-RES measurements are valuable, given uniform planarity with clean probe needles.
- One approach to improving C-RES measurements despite nonuniform contact problems is to take advantage of the fact that a VDD power plane is likely to be powered by multiple power-supply channels.
- A better approach involves the monitoring of vDrop using continuous ADC sampling and the triggering of an alarm when significant C-RES anomalies occur.
- Extended vDrop measurements can detect test-cell variations but have limited potential for isolating root causes of probe failures.
- Extended vDrop monitoring with alarm functionality is effective at detecting C-RES degradation, and because the monitoring is continuous, it is also effective in determining the root causes of the degradation.
- The implementation of vDrop monitoring requires planning because C-RES measurement or monitoring is not possible without proper routing.
- Advantest offers the instruments and software necessary to implement extended vDrop monitoring and is performing additional work to automate the process of setting adaptive current clamp and vDrop alarm limit values.
- Report emphasizes on the need of detecting the degradation as soon as possible to avoid catastrophic damage without incurring yield loss or unnecessary equipment downtime.
Semiengineering | 11 Feb, 2025
Silent Data Errors Still Slipping Through The Cracks
- Silent data corruption errors in large server farms have become a major concern of cloud users, hyperscalers, processor manufacturers and the test community.
- Silent data errors (also called silent data corruption errors) are hardware errors that occur when an incorrect computational result from a processor core goes undetected by the system.
- Silent data errors are not a new type of failure or caused by a new type of defect, but they are more noticeable.
- Both Google and Meta sounded the alarm about SDC errors a few years ago, and the extent of the problem boils down to 1 in 1,000 machines in a data center fleet having a silent data error.
- These silent data errors also have become more prevalent due to ever-shrinking transistors fabricated near their physical limits, huge numbers of cores in data centers running identical code, and the limitations in testing hugely complex systems.
- Effective screening and testing can help to detect SDCs, both during fabrication and during field use.
- Stress testing is a powerful play here.
- Systems are likely to get more complex, so one key in dealing with SDEs may lie in developing more fault-tolerant systems with superior error correction mechanisms and built-in resiliency.
- ‘In the future, we’re going to be talking about reliability as a first-class design parameter in architectures,’ said Rambus’ Woo.
- And while it’s not clear that the industry will unravel all the root cause contributors to silent data errors, strategies to identify, check/verify, diagnose and test for SDEs are well underway.
Semiengineering | 11 Feb, 2025
Asia tech stocks rise after Trump pauses tariffs on Canada and Mexico
- Asian tech stocks rise following news of Trump pausing tariffs on Mexico and Canada.
- Gains were seen in tech stocks in Japan, South Korea, and Hong Kong.
- Japanese semiconductor players Advantest and Lasertec lead the gains.
- Chinese tech companies Tencent and Meituan also saw an increase in their stock prices.
CNBC | 4 Feb, 2025
Japan, Aussie Stocks Follow N. America Up
- Japan and Australian stocks rose Wednesday as Wall Street rebounded overnight, while several Asia-Pacific markets were closed for the Lunar New Year holiday.
- Japanese tech stocks rebounded after posting losses for several days. Advantest gained 4.36%, Tokyo Electron rose 2.34%, while SoftBank Group advanced 2.43%.
- Minutes from the Bank of Japan’s December meeting released Wednesday showed members discussed neutral interest rates. The BOJ has been debating how far borrowing costs should be raised as inflation remains above its 2% target while wage hikes broaden due to labor shortages.
- Australian markets moved upward. The country’s inflation rose 0.2% in the December quarter and 2.4% annually, below the 2.5% estimated by economists polled by Reuters, data from the Australian Bureau of Statistics showed.
Baystreet | 29 Jan, 2025
Japan chip stocks extend losses as DeepSeek worries fuel Wall Street tech rout
- Shares in Japan's chip-related companies continued to decline for a second day as concerns over DeepSeek's AI competitiveness impact the U.S.
- Advantest, Tokyo Electron, and Renesas Electronics all experienced stock declines.
- Other affected companies include SoftBank Group, Furukawa, and Fujikura.
- DeepSeek's focus on reasoning abilities and its free, open-source language model challenge the dominance of U.S. chip companies.
CNBC | 28 Jan, 2025
Slower AI spending could ignite a 'vicious' downturn for chipmakers, Nvidia supplier says
- Advantest's CEO warned that chipmakers could face a 'vicious' downturn if data-center spending slows.
- AI smartphones could potentially justify the AI investments supporting chipmakers.
- Concerns are rising about the current pace of AI spending and its sustainability.
- Semiconductor companies heavily relying on data center spending by Big Tech could suffer, but AI smartphones offer hope.
Insider | 27 Dec, 2024
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