Wednesday, September 30, 2026

Codexaon Cloud Security Intern 2026: Remote Internship in India, ₹10,000–₹15,000/Month (Freshers Apply Now!) | Placement Officer

Posted By: PLACEMENT OFFICER on 9:16 AM

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🚀 Codexaon Cloud Security Intern 2026: Remote Internship in India, ₹10,000–₹15,000/Month (Freshers Apply Now!) | Placement Officer

📌 Quick Summary

Codexaon is hiring a Cloud Security Intern for a remote, work-from-home internship open to students and freshers across India. The internship lasts 1 to 3 months and pays a stipend of ₹10,000–₹15,000 per month. You'll assist with AWS cloud security, work with IAM, EC2, S3 and VPC, review basic security configurations, help with monitoring and logging, and spot common misconfigurations. No professional experience is needed (Fresher / 0–1 year). You'll get an internship certificate, a cloud security portfolio and career guidance, with performance-based future opportunities.

Detail	Info
🏢 Company	Codexaon
💼 Role	Cloud Security Intern
🏠 Work Mode	Remote / Work From Home
📍 Location	Remote, India
⏳ Duration	1–3 months
🧑‍💻 Experience	Fresher / 0–1 year
💰 Stipend	₹10,000–₹15,000 per month
🎓 Eligibility	B.Tech / BE / BCA / MCA / MSc IT / Cybersecurity students and recent graduates

🏢 About the Opportunity

Codexaon is looking for motivated students and freshers interested in Cloud Security, AWS and Cybersecurity to join its remote internship program. The posting gives few company details, so it's worth asking the recruiter about the company, the team you'd work with and how the internship is run before you commit (see the tips below).

🧑‍💻 Detailed Job Description

Responsibilities ✅

1. ☁️ Assist with AWS cloud security activities

2. 🔐 Work with AWS IAM, EC2, S3 and VPC

3. 🔍 Review basic security configurations

4. 📊 Assist with cloud monitoring and logging

5. ⚠️ Identify common cloud security misconfigurations

6. 📝 Prepare basic security documentation and reports

7. 🛠️ Participate in practical cloud security projects

8. 📚 Follow cloud security best practices

Required Skills 🛠️

· ☁️ Basic AWS or Azure knowledge

· 🌐 Basic networking concepts

· 🐧 Linux fundamentals

· 🛡️ Cybersecurity fundamentals

· ❤️ Interest in cloud security

· 🗣️ Good communication and problem-solving skills

What You Will Gain 🎓🚀

· ✅ Hands-on AWS cloud security experience

· ✅ Practical project experience

· ✅ A cloud security portfolio

· ✅ Industry exposure

· ✅ Internship certificate

· ✅ Career guidance

· ✅ Performance-based future opportunities

🎓 Batches Eligible (Based on the Job Description)

The posting lists the degrees rather than graduation years. My reading, as of September 2026:

· ✅ Class of 2026: recent graduates and freshers

· ✅ Class of 2025: recent graduates still in the 0–1 year experience window

· ✅ Class of 2027 and 2028: current students who can commit 1–3 months alongside college

· 🎓 Degrees: B.Tech, BE, BCA, MCA, MSc IT and Cybersecurity programs

· 💡 Students from other backgrounds who are interested in cloud and cybersecurity are also mentioned as eligible

· ⭐ Basic AWS knowledge is an advantage, but no professional experience is required

📍 Job Location

Remote / Work From Home, India. You can work from anywhere in India. The posting doesn't state working hours, weekly time commitment or tools used for communication, so ask the recruiter about these.

💰 Stipend: What to Expect and How It Compares

The offer 💵

· 💰 ₹10,000–₹15,000 per month

· 🧮 Over 1 to 3 months, that's about ₹10,000 to ₹45,000 in total

How it compares

Listing	What it shows
Cloud Back, work-from-home cybersecurity internship (3 months)	Stipend of ₹10,000–₹20,000 a month
Sagarsoft, cybersecurity intern (Hyderabad, on-site)	Fixed stipend of ₹20,000 a month
Skoollage, remote cybersecurity intern (3 months)	Stipend of ₹7,500, performance-based
Semesteria, remote cloud engineer intern	Listed at about INR 30K a month

Takeaway 📊: Codexaon's ₹10K–₹15K sits in the low-to-middle part of the range for similar remote internships in India. It's higher than some performance-based offers around ₹7,500 and lower than on-site or more technical listings at ₹20K–₹30K. Because the internship is short, the certificate, project experience and portfolio matter as much as the money.

⚠️ The posting says "performance-based future opportunities" but doesn't promise a job offer. Treat any conversion as a possible bonus, not a guarantee.

🛠️ Essential Skills to Land This Internship

Technical skills 💻

1. AWS fundamentals: IAM (users, roles, policies), EC2, S3 and VPC

2. Cloud security basics: least privilege, encryption, public bucket risks, security groups

3. Networking: IP addressing, ports, DNS, firewalls, subnets

4. Linux command line: files, permissions, logs and processes

5. Cybersecurity fundamentals: CIA triad, common attacks, vulnerabilities and basic threat models

6. Monitoring and logging concepts: CloudTrail and CloudWatch are useful to know (my suggestion, as the posting only says monitoring and logging)

7. Documentation: writing short, clear security reports

8. Bonus: Azure basics

Soft skills 🤝

· Clear written communication for reports

· Curiosity and problem solving

· Willingness to learn quickly

· Attention to detail

🌟 Pro Tips to Apply and Get Shortlisted

1. ☁️ Build a free-tier AWS lab. Create an account, set up an IAM user with least-privilege permissions, launch a small EC2 instance and configure an S3 bucket safely. Then write down what you did.

2. 🔎 Practice finding misconfigurations. Look at examples like a public S3 bucket, open security groups or over-permissive IAM policies, and explain how you'd fix each.

3. 📂 Put a small portfolio on GitHub. A README with screenshots and short write-ups of your AWS security experiments is a strong signal.

4. 🏅 Consider a fundamentals certification. For example, AWS Cloud Practitioner or a beginner security course, if you have time.

5. 🐧 Practice Linux and networking. Basic commands and concepts come up in interviews for roles like this.

6. 📝 Write a short, clear application. State your degree, year, your AWS or Linux practice and how many hours a week you can commit.

7. 🔗 Ask for company details. The posting has no website, team or contact details. Ask who you'd report to, what projects interns work on and how mentoring works.

8. 🚫 Never pay fees. A legitimate internship should not ask you for money for training, registration or the certificate. If anyone asks, walk away.

9. 📜 Ask what the certificate covers. Confirm what it will say, whether the hours are recorded and whether there's a completion requirement.

10. ⏱️ Confirm your availability. Be clear on whether you can complete 1, 2 or 3 months.

❓ Frequently Asked Questions (FAQs)

Q1. Is this internship remote?
Yes. It's work from home, open to candidates in India.

Q2. What is the stipend?
₹10,000–₹15,000 per month.

Q3. How long is the internship?
1 to 3 months.

Q4. Can freshers apply?
Yes. The role is open to freshers and people with 0–1 year of experience.

Q5. Which degrees are eligible?
B.Tech, BE, BCA, MCA, MSc IT and Cybersecurity students, plus recent graduates.

Q6. Do I need AWS experience?
Basic AWS or Azure knowledge is listed as a requirement, and basic AWS knowledge is an advantage. Deep experience isn't required.

Q7. What AWS services will I work with?
IAM, EC2, S3 and VPC.

Q8. Will I get a certificate?
The posting lists an internship certificate.

Q9. Will this lead to a job?
The posting mentions performance-based future opportunities but doesn't guarantee a job.

Q10. How can I check the internship is genuine?
Ask for the company's website, team details and a written offer. Don't pay any fees, and be careful if you're asked to.

🏁 Conclusion

The Codexaon Cloud Security Intern role is an accessible start for students and freshers who want hands-on AWS and cybersecurity exposure from home. It's short, pays a modest stipend and offers a certificate and portfolio projects. Build a small AWS security lab to show your interest, confirm the details with the company before you commit and apply soon.

🔗 Apply Link: Click Here To Apply for Codexaon

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Disclaimer
The recruitment details shared above are for informational purposes only and have been obtained from the organization’s official website. We do not guarantee any job placements. Recruitment will be conducted according to the company's official process. We do not charge any fees for sharing this job information.

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Qualcomm Machine Learning Engineer College Graduate 2026: San Diego, CA, $122.8K–$184.2K (Apply Now!) | Placement Officer

Posted By: PLACEMENT OFFICER on 8:47 AM

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With more than 1.5 Crore Views
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🚀 Qualcomm Machine Learning Engineer College Graduate 2026: San Diego, CA, $122.8K–$184.2K (Apply Now!) | Placement Officer

📌 Quick Summary

Qualcomm is hiring a Machine Learning Engineer (College Graduate) in San Diego, California (Job ID: 3089336) within Qualcomm AI Research. The team advances Gen AI for the Edge, including model fine-tuning, hardware acceleration, model quantization and edge inference. You'll architect, design, develop, test and deploy on-device prototype software for cutting-edge AI use cases. The minimum requirement is a Bachelor's degree in Computer Science, Engineering, Information Systems or a related field, plus strong Python, object-oriented design and PyTorch-style deep learning skills. The pay range is $122,800–$184,200 in base salary, with a discretionary annual bonus and opportunity for RSU grants on top.

Detail	Info
🏢 Company	Qualcomm Technologies, Inc.
💼 Role	Machine Learning Engineer, College Graduate
🆔 Job ID	3089336
📍 Location	San Diego, California, USA
🧪 Team	Qualcomm AI Research (Gen AI for the Edge)
🎓 Education	Bachelor's in CS, Engineering, Information Systems or related
💰 Base Pay	$122,800–$184,200 a year, plus discretionary bonus and RSUs

🏢 About Qualcomm and the Team

Qualcomm describes itself as the world's leading mobile computing platform provider, committed to enabling intelligent solutions on devices such as smartphones, laptops, autonomous vehicles, robotics and IoT products. The company is building the "building blocks for the intelligent edge."

This role sits in Qualcomm AI Research, which focuses on Gen AI technology for the Edge: model fine-tuning, hardware acceleration, model quantization, edge inference and related fields. You'd work in a dynamic research environment alongside a multi-disciplinary team of researchers and software engineers using cutting-edge AI frameworks and tools.

🧑‍💻 Detailed Job Description

What You'll Do 🛠️

You will architect, design, develop, test and deploy on-device prototype software for cutting-edge AI use cases. The team wants someone with a strong theoretical background and first hands-on experience enabling on-device AI using modern software engineering best practices.

Minimum Qualification ✅

· 🎓 Bachelor's degree in Computer Science, Engineering, Information Systems or a related field

Must-Have Skills 🔑

· 🐍 Strong Python and object-oriented software design and implementation skills

· 🤖 Knowledge of deep learning and ML frameworks (for example PyTorch)

· 🧱 Strong software design skills with a focus on usability

· 🔍 Strong analytical, debugging and problem-solving skills

Preferred Skills ⭐

· ✨ Knowledge of Generative AI (GenAI) technologies

· ⚙️ Neural network model optimization and on-target deployment

· 🧠 Knowledge of NPUs and ML accelerators

· 📱 Android programming

· 🔢 Optimization of algebraic operations in algorithms for hardware cores

· 💻 C/C++ and embedded software

ℹ️ Qualcomm says its careers site is only for individuals seeking a job. Staffing and recruiting agencies aren't authorized to submit profiles, and it doesn't accept unsolicited résumés from agencies. Apply directly through Qualcomm's site.

🎓 Batches Eligible (Based on the Job Description)

The posting doesn't give graduation years or a start date. My reading of "College Graduate" with a Bachelor's minimum:

· ✅ Class of 2026, both recent and soon-to-graduate students

· ✅ Class of 2027 final-year students, if the start date works with your graduation (confirm with the recruiter)

· ✅ Class of 2025, as a recent graduate, if the recruiter treats you as a college hire

· ⭐ Master's and PhD graduates in a relevant area, who usually have an edge for research-heavy roles like this (this is my inference, since the posting only states a Bachelor's as the minimum)

· 🎓 Fields: Computer Science, Computer Engineering, Electrical Engineering, Information Systems and related engineering degrees

The posting doesn't mention work authorization or visa sponsorship, so check that on the official application page.

📍 Job Location

San Diego, California, USA. The posting doesn't say whether the role is on-site, hybrid or remote, so ask the recruiter about the work arrangement.

💰 Expected Salary: What the Job Pays and How It Compares

The offer 💵

The listed pay range is $122,800–$184,200. Qualcomm says this is the broad minimum-to-maximum scale for the job code and location, and that salary is only one part of total compensation. It also offers a competitive annual discretionary bonus and the opportunity for annual RSU grants.

How it compares

Source	What it shows
Interview Query, Qualcomm ML Engineers	Average base of about $118,885 and average total compensation of about $128,000, with entry-level median base of about $129K (very few data points)
Glassdoor submissions, Qualcomm ML Engineers (1–3 years, San Diego)	Reported total pay ranging from about $103K to $238K
Orbyt, ML engineers in San Diego	Entry-level (0–2 years) base of about $113K–$139K
LeetCode offer reports (2019, dated)	New-grad offers with a base around $110K and about $170K in total for one MS graduate

Takeaway 📊: The posted range is above the reported averages for Qualcomm and San Diego entry-level ML engineers, which is normal because the top of a range is for higher levels. A realistic expectation for a new graduate is a base near the lower to middle of the range (roughly $123K–$150K), with a bonus and RSUs on top. A Master's or PhD, strong internships or competing offers can push it higher. This is my estimate. The LeetCode figures are years old and self-reported, so treat them cautiously.

🎁 Benefits

Qualcomm says its benefits package is "designed to support your success at work, at home and at play," and points to details on its US benefits page. Your recruiter can walk you through the specifics.

🛠️ Essential Skills to Land This Job

Technical skills 💻

1. Python with clean, object-oriented design

2. PyTorch (or another deep learning framework), including training and fine-tuning

3. ML and deep learning theory, since the team wants a strong theoretical background

4. Generative AI fundamentals: LLMs, diffusion models, fine-tuning

5. Model optimization: quantization, pruning, distillation and efficient inference

6. On-device and edge deployment concepts

7. C/C++ and embedded basics (a plus)

8. Understanding of NPUs and ML accelerators (a plus)

9. Android development (a plus)

10. Debugging and testing skills

Soft skills 🤝

· Working in a multi-disciplinary research and engineering team

· Clear communication of technical ideas

· Focus on usability in software design

· Analytical thinking and persistence

🌟 Pro Tips to Apply and Get Shortlisted

1. 🎯 Match the team's focus. Mention edge AI, quantization, on-device inference, model fine-tuning or hardware acceleration if you have any experience with them.

2. 🛠️ Build a small on-device project. For example, quantize a model with PyTorch, benchmark it and deploy it on a phone or embedded board. It shows exactly what the team does.

3. 🐍 Show clean Python. Put a well-organized GitHub with object-oriented code, tests and READMEs on your résumé.

4. 📊 Quantify results. For example: "Reduced model size by 4x with 1% accuracy loss" or "Cut inference latency by 35%."

5. 🧠 Be ready for theory. The posting stresses a strong theoretical background, so revise ML fundamentals, optimization and neural network basics.

6. ⚙️ Add a hardware angle. Even light exposure to NPUs, GPUs, CUDA or C/C++ optimization is a bonus.

7. ✨ Learn GenAI basics. Know how transformers and LLMs work and the trade-offs of running them on-device.

8. 🔎 Use Qualcomm's résumé match tool. The posting has a feature to see how well you match, so upload your résumé and adjust.

9. 🚫 Apply directly. Qualcomm doesn't accept résumés through agencies, so use the official careers page.

10. ⏱️ Apply early and be precise. Use the job ID (3089336) in any communication with recruiters.

❓ Frequently Asked Questions (FAQs)

Q1. What is the job ID?
3089336.

Q2. Where is the job?
San Diego, California, USA.

Q3. What team is it on?
Qualcomm AI Research, focused on Gen AI for the Edge.

Q4. What is the pay range?
$122,800–$184,200 in base pay, with a discretionary annual bonus and opportunity for RSU grants.

Q5. What degree do I need?
At minimum a Bachelor's in Computer Science, Engineering, Information Systems or a related field.

Q6. Which skills are must-haves?
Strong Python and object-oriented design, deep learning frameworks such as PyTorch, software design with a focus on usability, and strong debugging and problem-solving skills.

Q7. Which skills are a plus?
GenAI knowledge, model optimization and on-target deployment, NPUs and ML accelerators, Android, C/C++ and embedded software.

Q8. Can staffing agencies apply on my behalf?
No. Qualcomm doesn't accept résumés from agencies, so apply directly.

Q9. Is the role remote?
The posting doesn't say. Ask the recruiter about the work arrangement.

Q10. Does Qualcomm provide accommodations?
Yes. Candidates with disabilities can request accommodations during the hiring process using the contact details in the posting.

🏁 Conclusion

The Qualcomm College Graduate ML Engineer role is a strong pick for new graduates who like the intersection of machine learning and real hardware. You'd work in a research environment on generative AI for the edge, with a competitive base salary plus a bonus and stock. Build a small on-device or quantization project, get your PyTorch and Python fundamentals sharp, and apply directly through Qualcomm's careers site soon.

🔗 Apply Link: Click Here To Apply for Qualcomm