Senior Staff Engineer - 5G Systems Engineer

Qualcomm; Mumbai; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Qualcomm is seeking a Lead Engineer in Mumbai, India, to drive performance characterization and optimization of 5G/6G networks. This role involves collaboration with various stakeholders to ensure cutting-edge wireless technology efficiency.

The ideal candidate will have a strong background in Systems Engineering, alongside managerial skills and a deep understanding of network performance assessment, to effectively guide projects in advanced technology topics such as NTN and ISAC.

Qualifications

• 6+ years of Systems Engineering or related experience.
• Flexibility to travel up to 30% both domestic and international.
• Excellent communication, presentation and customer management skills.

Responsibilities

• Lead interactions with wireless operators to investigate and characterize performance of networks.
• Handle large performance data analysis for logs collected across key network elements.
• Use simulation platforms to develop solutions to improve network performance.

Skills

Wireless Communication Systems

5G technology

Performance optimization

Machine Learning

Data analysis

Education

Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field

Master’s degree in Engineering, Information Systems, Computer Science, or related field

PhD in Engineering, Information Systems, Computer Science, or related field

Tools

C/C++

MATLAB

Python

Data analytics tools

Machine learning libraries (NumPy, Pandas, PyTorch, TensorFlow)

Job description

Overview

This lead engineering position provides an opportunity to drive 5G/5G‑Adv/LTE systems performance characterization and optimization, support over‑the‑air (OTA) field trials of new features, work closely with wireless operators, infrastructure vendors and R&D teams on cutting‑edge wireless technologies such as NTN, 6G and ISAC, and collaborate on design, optimization, capacity estimation and debugging of air‑interface and core‑network issues.

Minimum Qualifications

• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field with 6+ years of Systems Engineering or related experience.
• Master’s degree in Engineering, Information Systems, Computer Science, or related field with 5+ years of Systems Engineering or related experience.
• PhD in Engineering, Information Systems, Computer Science, or related field with 4+ years of Systems Engineering or related experience.
• Flexibility to travel up to 30% both domestic and international.
• Excellent communication, presentation and customer management skills.
• Ability to coordinate and work across multiple Qualcomm teams and customers.
• Bachelor’s degree in ECE with senior focus in Wireless Communication Systems and 15+ years of deep technical depth in 3GPP technology and end‑to‑end 5G‑Adv/5G/4G network performance analysis and optimization.

Responsibilities

• Lead interactions with wireless operators to investigate and characterize performance of 6G/5G‑Adv/5G/LTE networks across various aspects ranging from satellite networks, core/transport networks, air interface, NTN‑TN mobility aspects, to devices and applications.
• Lead and contribute to projects in advanced topics such as ISAC, NTN, ORAN/vRAN, private networks, fixed wireless access, small cells and more.
• Handle and guide large performance data analysis for logs/traces collected across key network elements and probes deployed in 6G/5G‑Adv/5G/LTE networks.
• Perform RF and OTA parametric optimization and troubleshooting using complex data collection and post‑processing tools to assess network performance and propose solutions.
• Conduct RF network planning including propagation model calibration, link budget definition, network planning tool configuration, coverage and capacity planning, and network growth dimensioning.
• Use handset and network infrastructure‑based advanced tools to accurately measure existing and potential network performance.
• Use in‑house simulation platforms written in C/C++/MATLAB with live network traffic data and develop solutions to improve network performance and efficiency.
• Support development of forward‑looking solutions to address network operator growth and expansion plans covering all network entities, including 6G/ISAC/NTN trials, fine‑tuning features, rollout, and commercialization.
• Develop white papers, conference contributions, technical memos, new technology training documents, and detailed technical presentations.
• Present complex technical ideas and results to multi‑level, multi‑disciplinary internal and external audiences.
• Use data analytics and machine learning techniques to enhance new services and develop solutions.
• Focus on wireless system performance, network parameter optimization, new wireless technology standards, and analysis of wireless network/device issues.
• Manage cloud ML model architecture and data pipelines: identify objectives, select and develop models, verify data quality, train models, analyze errors, design strategies, and deploy to production.

Wireless Networks / Technology Skills

• In‑depth understanding and hands‑on experience on Cellular (5G NR, 5G‑Adv, LTE) PHY/MAC and upper layers.
• Deep expertise of 5G and LTE networks performance assessment and optimization on major RAN infrastructure vendors.
• Excellent knowledge of 3GPP protocol standards, design, development, integration and verification, call processing of cellular (6G/5G‑Adv/5G/LTE) systems.
• Expertise in mobile networks architecture, design, planning, measurement and optimization tools such as Atoll, Asset3G, iBwave, QXDM, DATUM, Accuver, TEMS, Ethereal, Actix, Agilent, R&S, Spirent, PCtel.
• Academic coursework in Digital Communications, Mobile Communications, Satellite Networks, Communication Theory/Systems, Error Correcting Codes, Computer networks (TCP/IP), Probability theory, Random processes, Linear Algebra, DSP, MIMO techniques.
• Experience with data services protocols such as RTP/TCP/UDP/IP.
• Academic projects and research in digital communications, satellite, wireless or computer networks including technical conference paper submissions.
• Proficiency with Python and basic libraries for machine learning.

Machine Learning and Programming Skills

• Hands‑on experience with LLM tools and agents (e.g., Claude, Cline) and understanding of ML Ops / AI Ops (model lifecycle, deployment, monitoring).
• Proficiency in Python and ML libraries (NumPy, Pandas, PyTorch, TensorFlow).
• Experience with prompt engineering and LLM‑based workflows.
• Familiarity with APIs, automation and tool integration.
• Understanding of data pipelines and experimentation workflows.
• Strong analytical and problem‑solving capabilities.

Equal Opportunity / Accessibility

Qualcomm is an equal opportunity employer. We are committed to providing an accessible process for individuals with disabilities. Contact disability‑[e-mail] for accommodations.