FY26 Intern - Protocol Coverage & ML-Driven Verification - 6 months, France

Qualcomm; Guyancourt; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A leading technology firm in France seeks an intern for a position focused on enhancing protocol coverage through scenario generation and machine learning analysis. The intern will be responsible for analyzing coverage gaps, generating traffic scenarios, and validating results in a C++ verification environment. Ideal candidates should have strong programming skills in C++, experience with scripting languages like Python, and an analytical mindset towards data interpretation. This role offers valuable hands-on experience in a cutting-edge technology environment.

Qualifications

• Understanding of C++ programming concepts and practices.
• Ability to write scripts in Python or similar languages.
• Basic knowledge of protocol testing and coverage analysis.
• Interest or experience in machine learning approaches to code generation.

Responsabilités

• Identify protocols lacking coverage and extract relevant data.
• Analyze coverage reports to find benchmarks for improving coverage.
• Generate new traffic sequences using machine learning tools.
• Validate the effectiveness of generated sequences in real scenarios.
• Compile statistical data on coverage improvements and resource usage.
• Present findings and suggestions for future improvements.

Connaissances

C++ programming

Scripting (Python or similar)

Familiarity with protocol testing and coverage metrics

Experience or interest in ML-based code generation

Analytical thinking and data interpretation

Description du poste

Company: Qualcomm France S.A.R.L.

Job Area: Interns Group, Interns Group > Interim Intern

General Summary: A world leader in smart mobile technologies, QUALCOMM (QCT) offers complete solutions that enable continuous innovation for today's smart connected devices. Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. Qualcomm offers a broad portfolio of wired and wireless technologies for the mobile, networking, computing, and consumer electronics product segments. All our solutions and products are elegantly engineered for optimal performance and power consumption. Our system-on-chip solutions like Snapdragon bring together CPU, GPU, connectivity, security, multimedia and GPS technologies in a way that is redefining mobile possibilities for people everywhere.

The Qualcomm Interconnect Technology Center (QITC) develops cutting edge interconnect solutions for complex System-On-Chips such as Snapdragon, providing low power, higher system bandwidth, greater IP flexibility, fewer global wires and easier timing convergence as well as faster time to market than existing bus interconnects. QITC NoC (Network-On-Chip) solutions includes a full suite of automated NoC Design Tools that improve NoC designer productivity.

Internship Title: Enhancing Protocol Coverage through Scenario Generation and Bench Analysis

Objective

To improve protocol coverage diagnostics by identifying partially covered items in bus protocol reports and generating targeted traffic sequences using scripting and machine learning. The intern will also explore how ML-generated C++ methods can be integrated into an existing C++ verification environment.

Internship Description

This internship focuses on analyzing protocol coverage gaps and developing automated methods to generate missing traffic scenarios. The intern will use scripting and ML tools to extract and reproduce traffic sequences across different benches, and validate their effectiveness in improving coverage. A key aspect will be evaluating how ML-generated C++ methods can be seamlessly integrated into the current verification infrastructure.

Key Responsibilities

• Protocol & Unit Selection: Identify a unit and protocol lacking coverage scenarios. Extract partially covered items from protocol coverage reports.
• Coverage Analysis & Sequence Retrieval: Browse all coverage reports for the selected protocol across benches. For each item, locate benches where the item is covered. Retrieve traffic sequences using coverage macro traces and monitor logs. Analyze reproducibility of sequences on the target bench considering hardware constraints.
• Scenario Generation & ML Integration: Use scripting and ML tools to generate new sequences for items consistently under-covered. Train or fine-tune ML models on existing C++ verification code to generate methods that match the environment’s structure. Evaluate the compatibility of ML-generated C++ methods with the existing verification framework (e.g., drivers, monitors, BFMs). Implement and validate these methods in simulation.
• Execution & Validation: Run generated sequences and verify coverage improvements. Use coverage reports to confirm effectiveness.
• Statistical Analysis & Optimization: Identify items requiring short vs. long sequences. Evaluate sequence efficiency (number of items hit per sequence). Compile metrics on coverage gains, machine/memory usage, and reproducibility.
• Final Presentation: Summarize findings, methodology, and results. Present statistical insights and recommendations for future coverage improvements.

Skills Required

• C++ programming
• Scripting (Python or similar)
• Familiarity with protocol testing and coverage metrics
• Experience or interest in ML-based code generation
• Analytical thinking and data interpretation

*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm will provide reasonable accommodations to support your participation in the hiring process.

If you would like more information about this role, please contact Qualcomm Careers.