Qualcomm Hiring 2026 brings an opportunity for entry-level candidates interested in Artificial Intelligence, Machine Learning, Python programming, and semiconductor design automation. Qualcomm India Private Limited is hiring for the position of Associate Engineer – CAD AI/ML in Bangalore, India. The role is suitable for candidates with 0–1 year of experience who want to apply AI/ML techniques to engineering workflows and automation.

Candidates with a relevant degree, strong Python skills, and a foundation in machine learning, statistics, and data analysis can review the eligibility criteria and apply through the official Qualcomm careers portal.
Qualcomm Recruitment 2026 – Job Overview
| Job Detail | Information |
|---|---|
| Company Name | Qualcomm India Private Limited |
| Job Role | Associate Engineer – CAD AI/ML |
| Job ID | 3097154 |
| Job Category | Engineering – Hardware Engineering |
| Job Location | Bangalore, India |
| Experience | 0–1 year |
| Employment Type | Full-time |
| Qualification | Relevant bachelor’s degree; review full eligibility below |
| Salary | Not disclosed |
| Work Mode | Not explicitly specified in the supplied description |
| Application Mode | Online |
| Official Website | Qualcomm Careers |
The position and experience details are based on the job description provided and the available listing. <Cite refs={[“turn466953search0″,”turn466953search4”]}/>
About the Job
Qualcomm Hiring 2026is looking for a motivated Associate Engineer – CAD AI/ML to help develop intelligent automation solutions for computer-aided design (CAD) and semiconductor engineering workflows.
In this role, the selected candidate will work with engineering and design teams to analyze data generated by electronic design automation (EDA) tools, build data-processing pipelines, explore machine learning models, and improve engineering productivity.
This opportunity is particularly relevant for early-career professionals interested in Python development, AI/ML, data analytics, and semiconductor technologies.
Roles and Responsibilities
Selected candidates may be responsible for the following activities:
- Develop Python scripts, utilities, and automation tools for CAD and design workflows.
- Apply machine learning and data analytics techniques to engineering datasets, reports, and tool logs.
- Assist in developing models for runtime prediction, failure classification, and root-cause analysis.
- Analyze logs to identify anomalies, performance issues, and quality trends.
- Process large datasets generated by EDA tools and semiconductor design flows.
- Build data-preprocessing pipelines to extract useful information from engineering reports.
- Help integrate AI/ML models into existing CAD automation frameworks.
- Debug scripts, data pipelines, and model-related issues.
- Create dashboards, visualizations, and reports to communicate insights.
- Conduct experiments, evaluate model performance, and document results.
- Follow software development practices such as version control, testing, code reviews, and documentation.
- Collaborate with CAD, RTL, verification, synthesis, physical design, and methodology teams.
Eligibility Criteria
Candidates should carefully review the following requirements before applying.
Educational Qualification
The job description identifies a bachelor’s degree in one of the following or a related field as a required qualification:
- Computer Science
- Information Technology
- Artificial Intelligence
- Machine Learning
- A related technical discipline
The listing also mentions an associate’s degree in Computer Science, Electrical/Electronic Engineering, Engineering, or a related field under minimum qualifications. Applicants should verify that their education meets the requirements in the official application.
Experience
- Entry-level opportunity.
- 0–1 year of experience in software development, CAD automation, data analytics, or AI/ML.
- Academic projects, internships, and relevant coursework can be useful.
Are freshers eligible? Yes, the position is described as an entry-level role requiring 0–1 year of experience, making it relevant to fresh graduates who meet the educational and technical criteria.
Required Technical Skills
Candidates should have a foundation in the following areas:
Programming and development
- Strong Python programming skills
- Data structures and algorithms
- Object-oriented programming
- Debugging and troubleshooting
Artificial Intelligence and Machine Learning
- Machine learning fundamentals
- Statistics and probability
- Data preprocessing and analysis
- Familiarity with NumPy, Pandas, Scikit-learn, and Matplotlib
Other technical knowledge
- Linux/Unix environments
- Database concepts and SQL
- Analysis of software logs and engineering reports
- Analytical thinking and problem-solving
- Written and verbal communication
Preferred Qualifications
The following skills may provide an advantage but are listed as preferred rather than core requirements:
- TensorFlow, PyTorch, or Keras
- Natural language processing and generative AI
- Large language models (LLMs) and retrieval-augmented generation (RAG)
- Git, REST APIs, CI/CD, and Docker
- Shell scripting, Perl, or Tcl
- Software testing and automation
- Semiconductor design concepts, including RTL, SystemVerilog, synthesis, verification, and EDA tools
- Experience working with structured and unstructured data
Candidates do not necessarily need to possess every preferred skill. Focus first on meeting the required qualifications.
What Does an Associate Engineer – CAD AI/ML Do?
CAD AI/ML engineering combines automation, data analysis, machine learning, and semiconductor design workflows.
For example, engineering tools may generate large amounts of logs and performance data. An engineer in this role can use Python to process those logs, identify recurring failures, detect unusual behavior, and develop models that help predict runtime or improve workflow efficiency.
This position can suit candidates who enjoy programming, analyzing data, building automation tools, and learning how AI/ML can support hardware engineering.
Salary and Benefits
Qualcomm has not disclosed the salary for this particular opening in the job description provided.
Compensation may depend on the role, candidate qualifications, experience, and company policies. Applicants should check the official application and any written offer for accurate compensation and benefits information.
Qualcomm describes its employee programs as including career development opportunities, learning support, and employee benefits. Actual eligibility and benefits depend on the applicable employment terms. <Cite refs={[“turn466953search11”]}/>
How to Apply for Qualcomm Jobs 2026
Follow these steps to apply:
- Open the official Qualcomm careers link below.
- Review the complete job description and eligibility criteria.
- Select the application option.
- Upload your updated resume and provide the requested information.
- Submit your application and save any confirmation details.
Official Apply Link: Click here
Job ID: 3097154
If the link does not open correctly, visit Qualcomm Careers and search for the job title or job ID.
Resume Tips for Freshers
Candidates applying for this role can strengthen their resumes by highlighting relevant academic or personal projects.
- Include Python projects involving data analysis or automation.
- Mention experience with Pandas, NumPy, Scikit-learn, and data visualization.
- Explain any machine learning project, including the dataset, methodology, and results.
- Highlight SQL, Linux, Git, and debugging skills where applicable.
- Include AI/ML coursework, internships, or semiconductor-related projects if relevant.
- Keep the resume clear, concise, and tailored to the job requirements.
Avoid listing tools or skills that you cannot explain during an interview.
Interview Preparation: Sample Questions and Answers
The following questions are practice material based on the job’s stated skills, not confirmed questions from Qualcomm’s interview process.
1. What is machine learning?
Machine learning is a branch of artificial intelligence in which systems learn patterns from data to make predictions or decisions without being explicitly programmed for every case.
2. What is the difference between supervised and unsupervised learning?
Supervised learning uses labeled data to learn a relationship between inputs and known outputs. Unsupervised learning identifies patterns or groups in data without predefined output labels.
3. What is NumPy used for?
NumPy is a Python library for numerical computing. It provides efficient arrays, mathematical functions, and operations used in data analysis and scientific computing.
4. What is Pandas used for?
Pandas is used to load, clean, transform, analyze, and manipulate structured data through data structures such as DataFrames and Series.
5. What is Scikit-learn?
Scikit-learn is a Python machine learning library that provides tools for preprocessing, model training, evaluation, classification, regression, and clustering.
6. What is anomaly detection?
Anomaly detection identifies observations or events that differ significantly from normal patterns. It can help flag unusual tool behavior, errors, or unexpected engineering metrics.
7. Why is data preprocessing important?
Data preprocessing improves data quality by handling missing values, duplicates, inconsistent formats, and irrelevant features. Clean data helps produce more reliable analysis and model results.
8. What is SQL used for?
SQL is used to query and manage relational databases. It can filter, aggregate, join, insert, update, and retrieve data.
9. What is Linux used for in engineering workflows?
Linux provides a command-line environment for running scripts, managing files and processes, automating repetitive tasks, and working with development tools and engineering software.
10. How can AI/ML help semiconductor design automation?
AI/ML can help analyze engineering logs, detect anomalies, classify failures, predict tool runtime, identify performance trends, and suggest opportunities to improve design workflows.
Selection Process
The exact selection stages for this particular vacancy are not specified in the supplied description. Depending on the company’s hiring process, candidates may be asked to complete some combination of:
- Resume screening
- Technical assessment or coding evaluation
- Technical interview covering Python, programming fundamentals, and AI/ML
- Further technical or team discussions, if applicable
- HR discussion and offer process
Treat these as possible preparation areas rather than a confirmed sequence.
Frequently Asked Questions (FAQs)
1. Is Qualcomm hiring freshers for Associate Engineer – CAD AI/ML?
The listing describes the role as entry-level and suitable for candidates with 0–1 year of experience.
2. Where is the job located?
The position is listed in Bangalore, India.
3. What is the job ID?
The job ID is 3097154.
4. What qualification is required?
The description identifies a relevant bachelor’s degree in Computer Science, IT, AI/ML, or a related field. Review the official listing for the complete education requirements.
5. Is Python required?
Yes. Strong Python programming skills are listed as a requirement.
6. Is prior semiconductor industry experience mandatory?
The description does not list prior semiconductor industry employment as a mandatory requirement. Familiarity with semiconductor design concepts and EDA tools is preferred.
7. What is the salary for this position?
The salary is not disclosed in the supplied job description.
8. Is this a work-from-home job?
The supplied description does not confirm a remote or hybrid arrangement. Check the official listing or ask the recruiter for the current work-mode details.
9. Are TensorFlow or PyTorch mandatory?
They are listed as preferred qualifications, while Python and foundational AI/ML knowledge are among the stated requirements.
10. How can I apply?
Apply through the official Qualcomm careers listing.
About Qualcomm
Qualcomm is a technology company known for wireless communications, semiconductor technologies, and computing innovations. Its India operations contribute to areas including wireless modem technology, multimedia software, embedded applications, and digital connectivity. <Cite refs={[“turn466953search2″,”turn466953search11”]}/>
Final Summary
Qualcomm’s Associate Engineer – CAD AI/ML opening in Bangalore is an opportunity for eligible early-career candidates to work at the intersection of Python programming, data analytics, machine learning, and semiconductor design automation.
Candidates with a relevant educational background, strong programming fundamentals, and practical AI/ML or automation projects should review the requirements and apply through the official careers portal.



