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IBM
4.0
based on 23.4k Reviews
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Proud winner of ABECA 2025 - AmbitionBox Employee Choice Awards
Company Overview
Associated Companies
Company Locations
Working at IBM
Company Summary
IBM has been dedicated to every client's success and to creating innovations that matter for the world.
Overall Rating
4.0/5
based on 23.4k reviews
8% above
industry average
Highly rated for
Work-life balance, Company culture, Job security
Critically rated for
Promotions
Work Policy
Hybrid
79% employees reported
Monday to Friday
84% employees reported
Flexible timing
77% employees reported
No travel
66% employees reported
View detailed work policy
Top Employees Benefits
Job/Soft skill training
1.8k employees reported
Health insurance
1.3k employees reported
Cafeteria
1.2k employees reported
Office cab/shuttle
996 employees reported
View all benefits
About IBM
Founded in1911 (114 yrs old)
India Employee Count1 Lakh+
Global Employee Count1 Lakh+
India HeadquartersBangalore / Bengaluru, Karnataka, India
Office Locations
Websiteibm.com
Primary Industry
Other Industries
View in video summary
IBM (International Business Machines Corporation) is a global technology and consulting company with a mission to make the world work better. With a strong commitment to innovation, IBM focuses on leveraging hybrid cloud and AI technologies to help businesses and community's advance.
The company operates in over 170 countries, employing more than 300,000 professionals globally. IBM’s broad portfolio includes services in consulting, software, infrastructure, and research. Through its open-source platform, partnerships like Red Hat, and its emphasis on responsible tech, IBM is shaping the future of technology.
IBM’s legacy of innovation is driven by its 19 global research labs and thousands of patents, maintaining its position as a leader in cutting-edge tech solutions. The company continues to work toward building trust in technology and empowering clients to digitally transform their operations with speed and scale.
Mission: Our mission and purpose is to be a catalyst that makes the world work better. A catalyst is an agent of change. As catalysts, IBMers collaborate to release new energy. We forge partnerships and bring together powerful combinations of people and technology. We combine the methods of science with the dynamism business to do things neither could do on its own. We solve difficult problems and amplify the impact of our solutions with speed and scale. Our work is focused on the most mission-critical systems on the planet: electrical grids, airlines, mobile networks, banks, transportation systems, healthcare systems. These systems are more than just engines of economic growth. They are the systems that support modern society. In making them faster, more productive, and more secure, we don’t just make business work better, we make the world work better.
Vision: IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
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ABECA - AmbitionBox Employee Choice Awards
Awards 2025
Awards 2024
Best of the best, rated by employees
IBM won India’s Largest Employee Choice Awards in Mega Companies Category.
Top Rated Mega Company
Top Rated Company for Women
Top Rated IT/ITES Company
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IBM Ratings
based on 23.4k reviews
Overall Rating
4.0/5
How AmbitionBox ratings work?
5
10.7k
4
7.1k
3
3k
2
1.1k
1
1.5k
Category Ratings
4.0
Work-life balance
3.9
Company culture
3.9
Job security
3.9
Skill development
3.7
Work satisfaction
3.5
Salary
3.1
Promotions
IBM is rated 4.0 out of 5 stars on AmbitionBox, based on 23.4k company reviews. This rating reflects a generally positive employee experience, indicating 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 IBM
based on 22.2k reviews
4.0
Rated by 7.4k Women
Rated 4.0 for Work-life balance and 4.0 for Company culture
4.0
Rated by 14.8k Men
Rated 4.1 for Work-life balance and 3.9 for Company culture
Work Policy at IBM
based on 2.6k reviews in last 6 months
Hybrid
79%
Work from office
18%
Permanent work from home
3%
IBM Reviews
Top mentions in IBM Reviews
+ 5 more
Compare IBM with Similar Companies
Change Company | Change Company | Change Company | ||
|---|---|---|---|---|
Overall Rating | 4.0/5 based on 23.4k reviews | 3.6/5 based on 97.6k reviews | 3.7/5 based on 57k reviews | 3.8/5 based on 62.9k reviews |
Highly Rated for | Work-life balance Skill development Job security | Job security Work-life balance | Job security | No highly rated category |
Critically Rated for | Promotions | Promotions Salary Work satisfaction | Promotions Salary | Promotions |
Primary Work Policy | Hybrid 79% employees reported | Work from office 80% employees reported | Hybrid 62% employees reported | Hybrid 78% employees reported |
Rating by Women Employees | 4.0 Good rated by 7.4k women | 3.7 Good rated by 28.4k women | 3.8 Good rated by 16.5k women | 3.8 Good rated by 23.8k women |
Rating by Men Employees | 4.0 Good rated by 14.8k men | 3.6 Good rated by 63.9k men | 3.7 Good rated by 38k men | 3.8 Good rated by 36.5k men |
Job security | 3.9 Good | 4.5 Good | 3.8 Good | 3.7 Good |
View more
IBM Salaries
IBM salaries have received with an average score of 3.5 out of 5 by 23.4k employees.
Application Developer
(12.5k salaries)
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₹5.3 L/yr - ₹24.5 L/yr
Software Engineer
(5.8k salaries)
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₹8.2 L/yr - ₹26 L/yr
Software Developer
(5.6k salaries)
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₹13.5 L/yr - ₹34.6 L/yr
Senior Software Engineer
(5.2k salaries)
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₹12.2 L/yr - ₹36 L/yr
Advisory System Analyst
(5.2k salaries)
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₹9.5 L/yr - ₹27 L/yr
Senior Systems Engineer
(4.5k salaries)
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₹5.8 L/yr - ₹22 L/yr
Senior Consultant
(3.2k salaries)
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₹9 L/yr - ₹32 L/yr
Data Engineer
(3.1k salaries)
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₹6.4 L/yr - ₹27 L/yr
Specialist Testing
(3k salaries)
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₹4 L/yr - ₹20 L/yr
Senior System Analyst
(2.8k salaries)
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₹13.5 L/yr - ₹32.5 L/yr
IBM Interview Questions
A Software Developer was asked 1w agoQ. What types of reports are you familiar with?
An Application Developer was asked 1mo agoQ. What are the main OOP concepts?
A Software Engineer was asked 5mo agoQ. What are your expectations regarding IBM?
A Data Engineer was asked 6mo agoQ. Write an SQL query using CTEs and joins.
An Associate Systems Engineer was asked 2mo agoQ. What are the differences between Spring MVC and Spring Boot?
IBM Jobs
Popular Designations IBM Hires for
Popular Skills IBM Hires for
Current Openings
IBM News
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*AI-Powered Malware: The New Frontier of Cyber Threats*
- AI-powered malware utilizes machine learning to evade detection, adapt to new environments, and identify vulnerabilities.
- Types of AI-powered malware include DeepLocker, AI-generated phishing emails, and autonomous malware.
- AI-powered malware presents challenges for cybersecurity as it requires advanced detection systems, behavioral analysis, and continuous learning.
- Defense strategies against AI-powered malware involve implementing AI-powered security solutions, staying informed, and conducting regular security audits.
- Understanding the implications and tactics of AI-powered malware allows organizations to better combat these emerging threats.
- AI-powered security solutions like CrowdStrike Falcon, Darktrace Enterprise Immune System, and Vectra Cognito offer advanced threat detection and response.
- Advanced endpoint protection solutions include SentinelOne Singularity, Cylance PROTECT, and Sophos Intercept X.
- Security orchestration and incident response tools such as IBM QRadar Advisor with Watson, Palo Alto Networks Cortex XDR, and Cybereason XDR aid in threat investigation and response.
- User and entity behavior analytics are enhanced by solutions like Exabeam Advanced Analytics, Cynet 360, and IBM Guardium.
Medium | 17 Jun, 2025
Ethereum’s Lubin Sparks Wall Street Interest in DeFi with Bold Treasury Strategy Vision
- Ethereum co-founder Joseph Lubin emphasizes profit-driven DeFi access and treasury exposure for Wall Street adoption.
- IBM's Tom Lee highlights companies using Bitcoin and Ethereum in treasury strategies as models bridging traditional finance with cryptocurrencies.
- Regulatory concerns are decreasing, paving the way for increased enterprise interest in decentralized finance and token issuance.
- Lubin promotes Ethereum and Bitcoin treasury strategies as key for bringing traditional finance into DeFi.
- Lubin points to SBET as a promising treasury tool centered around staking Ether, similar to successful Bitcoin-forward strategies.
- Tom Lee from Fundstrat sees GRNY ETF and SBET as connecting points between DeFi and conventional capital markets.
- Steady profit streams like those associated with Ethereum are expected to attract more Wall Street investment into the DeFi ecosystem.
- Improved scalability and affordability post-upgrades position Ethereum for global-scale applications, making DeFi more appealing to enterprises.
- With clearer regulations and reduced fear of SEC crackdowns, companies are increasingly exploring DeFi concepts and tokenization.
- Web3 features are now being integrated by traditional Web2 developers and corporations into products, viewing Ethereum as a comprehensive tech stack.
- Friendly regulatory conditions encourage innovation, allowing developers to experiment with Web3 without excessive concern over bans or legal actions.
- Ethereum's community-focused governance and ownership model are becoming attractive to teams beyond financial profits.
- Joseph Lubin anticipates mainstream adoption of DeFi tools through Wall Street participation, leading to a new era of financial evolution.
TronWeekly | 17 Jun, 2025
Reddit user surprised when 1960s computer panel emerged from collapsed family garage
- A Reddit user found a rare RCA Spectra 70/35 computer control panel from 1966 in their family's collapsed garage.
- The mainframe component requires 1,500lbs of missing equipment to run.
- The panel was left in the garage by a former tenant who worked at IBM, remaining hidden for decades.
- It features the 'Power' button, indicator lights, control switches, and a 'Memory Address Stop' panel.
- This particular 70/35 RCA computer panel seems to have no existing online photographs.
- The RCA Spectra 70 series aimed to compete with IBM's System/360 mainframes in the mid-1960s.
- The Spectra 70 models showcased 'third-generation' computer technology like integrated circuits.
- RCA's marketing materials highlighted the industry's first monolithic integrated circuitry in full-scale systems.
- The family may have kept the 70/35 panel as a keepsake after the system's decommissioning.
- RCA discontinued the Spectra series in 1971 when exiting the mainframe computer business.
Arstechnica | 17 Jun, 2025
What was the storage size of the first USB flash drive?
- The storage size of the first USB flash drive was 8 MB.
- The first patent for a USB flash drive was filed in 1999 by M-Systems which later partnered with IBM to release the DiskOnKey with 8 MB storage.
- Singaporean company Trek 2000 International introduced its own 8 MB flash drive, branded as the 'ThumbDrive.'
- Despite its small capacity compared to modern drives, 8 MB was a significant advancement at the time, offering portability and rewritability.
- USB flash drives have evolved over the years with increased storage capacity and reduced costs, becoming an essential part of digital life.
TechSpot | 16 Jun, 2025
Types of Artificial Intelligence
- Artificial Intelligence (AI) is prevalent in various aspects of our daily lives, from apps to cars, shaping how businesses function.
- AI encompasses machines mimicking human intelligence, with different types defining its capabilities and applications.
- Capability-based classifications categorize AI by its intelligence level and task performance capabilities.
- Narrow AI (ANI) focuses on specific tasks, such as voice commands, face recognition, and personalized recommendations.
- Artificial General Intelligence (AGI) aims to have human-like cognitive abilities like learning and problem-solving.
- Artificial Superintelligence (ASI) envisions machines surpassing human intelligence across all fields, posing ethical questions.
- Functionality-based classifications explain AI's behavior based on its design and capabilities.
- Reactive Machine AI reacts to current situations without memory or learning capabilities, like IBM's Deep Blue.
- Limited Memory AI learns from past data for decision-making, seen in applications like self-driving cars and chatbots.
- Theory of Mind AI strives to understand emotions and intentions, though it's still a research goal.
- Self-Aware AI represents machines that comprehend their state, emotions, and potentially consciousness, remaining theoretical.
- AI extends beyond core types with applications in robotics, computer vision, and expert systems.
- Computer vision enables machines to 'see' and is used in facial recognition, image classification, and medical diagnosis.
- Expert systems rely on predefined rules to solve domain-specific problems, as seen in early successes like MYCIN.
- Understanding AI types, from Narrow AI to advanced forms like ASI, is crucial for staying informed about this evolving technology's impact.
- As AI advances, its influence on various sectors grows, making awareness of AI types important for individuals and businesses alike.
- Partnering with an experienced AI development company can help turn AI technologies into tangible real-world solutions.
Dev | 16 Jun, 2025
HardTech Reads: The AI & Robotics Revolution vol.35
- IBM unveils 200-qubit quantum system for high-reliability operations, targeting availability by 2029.
- North American cobot orders remain flat in unit count but rise 15% in value.
- DeepMind discusses humanoids' viability and challenges conventional humanoid robot concepts.
- China-U.S. trade gap deepens by -35%, impacting global manufacturing and automation.
- Nvidia and Siemens collaborate to enhance factory automation using AI-driven digital twins.
- Global nuclear power capacity expected to surge by 52% by 2040 with significant drivers.
- AMD launches MI400 chips tailored for generative AI tasks, rivaling Nvidia's GPUs.
- Various companies secure significant investments for technologies ranging from factory ops to exoskeletons.
- Multiple upcoming events in the hard tech industry, including conferences and summits, offer networking opportunities.
Medium | 16 Jun, 2025
10 World’s Best AI Chip Companies to Watch in 2025
- AI chips are specialized integrated circuits used to develop AI systems and implement AI-related tasks, including GPUs, FPGAs, and ASICs.
- AI chips execute logical functions and have parallel processing capability to handle intensive data-related workloads efficiently.
- Top AI chip companies for 2025 include Nvidia, AMD, Intel, AWS, Alphabet, Qualcomm, Microsoft, IBM, Broadcom, and Groq.
- Nvidia leads in AI chips with high-end GPUs like A100 and H100, catering to complex AI models and industry standards.
- AMD competes with Nvidia offering Instinct MI series GPUs and Ryzen AI processors for enhanced AI computing.
- Intel's AI chips like Gaudi 3, Xeon processors, and Core Ultra processors cover a wide range of computing needs from data centers to client PCs.
- AWS and Alphabet have introduced Trainium, Inferentia, and TPUs for efficient AI training and inference tasks in data centers and cloud services.
- Microsoft's Maia AI chip empowers Azure cloud services, while IBM focuses on niche AI chips like Spyre and Telum for mainframe systems.
- Broadcom provides custom AI chips for major cloud providers and networking solutions, while Groq offers LPUs for accelerated AI inference.
- The AI chip market is growing rapidly, driven by the increasing demand for AI technology, especially generative AI tools.
- Nvidia is predicted to maintain its market dominance, challenging competitors to innovate and capture market share in the AI chip industry.
Designveloper | 16 Jun, 2025
Top Artificial Intelligence Companies in 2025
- DeepMind (Google) is innovative in various sectors like healthcare and games with its AlphaFold algorithm.
- Microsoft integrates Azure with AI services like GPT-4 for digital transformation.
- IBM Watson provides data analytics and natural language understanding for informed decisions.
- Amazon Web Services (AWS) offers a wide range of services for deploying scalable machine-learning models.
- Nvidia's chip innovations support complex model training in robotics and autonomous vehicles.
- Baidu's Apollo platform for autonomous driving and semantic technologies drive advancements in transportation.
- Salesforce Einstein helps companies enhance customer service, marketing, and sales practices with AI tools.
- C3.ai focuses on enterprise transformation with AI-powered applications.
- DataRobot provides automated machine-learning platform services for companies.
Medium | 16 Jun, 2025
Programming Quantum Algorithms with Qiskit
- Qiskit is IBM’s open-source SDK for quantum programming in Python, offering tools to build quantum circuits, simulate them, and run experiments on actual quantum hardware via the cloud.
- The Qiskit ecosystem includes add-ons like QAOA, VQE, QPE, Deutsch–Jozsa, Simon’s, and Bernstein–Vazirani.
- Benefits of using Qiskit include education, prototyping, hybrid algorithms, hardware execution, error mitigation, research in various fields, and industry applications.
- An example of using Qiskit is demonstrated with Grover’s Algorithm for a 2-qubit system.
- Common quantum algorithms supported by Qiskit include Deutsch–Jozsa, Bernstein–Vazirani, Simon’s algorithm, Quantum Phase Estimation (QPE), VQE, and QAOA.
- Installation tips, API access instructions, simple quantum operations, simulator usage, and add-ons exploration are provided for hands-on experience with Qiskit.
- Quantum computing enthusiasts can access official tutorials, research papers, community insights, and video tutorials on Qiskit to deepen their understanding and skills.
- Qiskit facilitates the exploration of powerful quantum algorithms on both simulators and real quantum hardware, making quantum computing accessible and impactful for various applications.
- Knowledge of building and simulating quantum circuits with Qiskit prepares individuals for hybrid quantum-classical developments and advancements in quantum computing.
- Qiskit serves as an entry point for developers, researchers, and enthusiasts to delve into the transformative field of quantum computing, enabling them to experiment with cutting-edge algorithms and technologies.
Javacodegeeks | 16 Jun, 2025
ANZ consolidates operational risk into ServiceNow
- ANZ Banking Group is migrating its entire non-financial risk portfolio to ServiceNow to strengthen operational resilience.
- ANZ shifted from IBM’s OpenPages to ServiceNow’s integrated risk management platform focusing on 16 key risk domains and 19 critical business operations.
- The implementation of ServiceNow’s common service data model version five allowed workflow orchestration across various modules including IRM, BCM, TPRM, and ITSM.
- ANZ mapped 43,000 supporting resources, risks, and controls against core business processes and used Kafka and API-based connectivity for data sources.
- The program was partly driven by APRA’s new prudential standard CPS 230 focusing on operational risk.
- ANZ identified 16 non-financial risk themes and aims to fully onboard 19 critical operations to ServiceNow by July 1.
- The focus extended to external partners and contractors to understand the chain of resilience, leading to adopting TPRM integrated with Orbis and SAP Ariba.
- ANZ plans to expand the use of ServiceNow for BCM and adopt generative AI tool Now Assist for automation and AI in risk and resilience management.
- The bank aims to expand its operational resilience framework for a comprehensive view of its value chain and enhance operational efficiency through AI.
Itnews | 16 Jun, 2025
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IBM FAQs
When was IBM founded?
IBM was founded in 1911. The company has been operating for 114 years primarily in the IT Services & Consulting sector.
Where is the IBM headquarters located?
IBM is headquartered in Armonk,New York. It operates in 6 cities such as Bangalore / Bengaluru, Pune, Hyderabad / Secunderabad, Gurgaon / Gurugram, Mumbai. To explore all the office locations, visit IBM locations.
How many employees does IBM have in India?
IBM currently has more than 1.3 Lakh+ employees in India. Engineering - Software & QA department appears to have the highest employee count in IBM based on the number of reviews submitted on AmbitionBox.
Does IBM have good work-life balance?
IBM has a work-life balance rating of 4.0 out of 5 based on 23,000+ employee reviews on AmbitionBox. 76% employees rated IBM 4 or above on work-life balance. This rating reflects the company's efforts to help employees maintain a healthy balance between their personal and professional lives. We encourage you to read IBM work-life balance reviews for more details.
Is IBM good for career growth?
Career growth at IBM is rated as moderate, with a promotions and appraisal rating of 3.1. 24% employees rated IBM 3 or below, while 76% employees rated it 4 or above on promotions / appraisal. This rating suggests that while some employees view growth opportunities favorably, there is scope for improvement based on employee feedback. We recommend reading IBM promotions / appraisals reviews for more detailed insights.
What are the pros and cons of working in IBM?
Working at IBM comes with several advantages and disadvantages. It is highly rated for work life balance, company culture and job security. However, it is poorly rated for promotions / appraisal, salary & benefits and work satisfaction, based on 23,000+ employee reviews on AmbitionBox.
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