Senior Engineer - 5G Systems Engineer

Technology, Data & Digital · Software & Web Development · Software Engineering · Data Science

In short

Qualcomm India Private Limited is seeking a Senior 5G Systems Engineer in Mumbai, India. This role involves working with leading wireless operators and vendors on cutting-edge technologies like 6G/5G/5G-Advanced/LTE, focusing on performance characterization, optimization, and field trials. The position requires expertise in machine learning for data analysis and a strong understanding of digital communications and computer networks.

Responsibilities

Interact with wireless Operators to investigate and characterize the performance of 5G/5G-Adv/LTE networks.
Contribute to projects in advanced topics such as ORAN/vRAN, private networks, fixed wireless access, small cells etc.
RF and OTA Parametric Optimization and troubleshooting.
RF Network Planning, including propagation model calibration, link budget definition, network planning tool configuration, coverage and capacity planning.
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 & efficiency.
Support development of forward-looking solutions to address network operator growth and expansion plans.
Develop white papers, conference contributions, technical memos, and new technology training documents.
Ability to present complex technical ideas and results to multi-level, multi-disciplinary internal and external audiences.
Use data analytics and machine learning techniques for ESG service portfolio enhancement and development – focus area: 4G/5G/Wi-Fi communication.

Requirements

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
OR PhD in Engineering, Information Systems, Computer Science, or related field.
Good knowledge of cellular (5G NR, 5G-Adv, and LTE) PHY/MAC and upper layers.
5G and LTE Networks’ performance assessment & optimization experience on major RAN infra-vendor(s).
Academic coursework in some of the following areas: Digital Communications, Mobile Communications (including wireless propagation, CDMA, OFDM principles), Communication Theory/Systems, Error Correcting Codes, Computer networks (TCP/IP), Probability theory & Random processes, Linear Algebra, DSP, MIMO techniques and Wireless Networks.
Proficiency in Python based scripting and optionally Perl scripting.
Experience with Machine Learning algorithms, model building, evaluation and data Manipulation.
Excellent Statistical Analysis & Data Visualization skills with problem-solving abilities.
In-Depth understanding of Machine learning fundamentals, including Neural Networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs).
Proficiency in machine learning frameworks such as TensorFlow, Keras, PyTorch, Scikit-learn, Pandas, and NumPy.
4-8 years of deep technical depth in 3GPP technology and End to End 4G/5G networks performance analysis/optimization.
Independent and a team player with the ability to effectively work with multi-functional engineering teams.
Excellent written, verbal communication and presentation skills.
Excellent customer management skills.
Flexibility to travel (up to 30%) both domestic and internationally.

Desired Qualifications

Academic projects and research in digital communications, wireless or computer networks including technical conference paper submissions is considered a strong plus.
Background in 3GPP protocol standards, design, development, integration and verification, call processing of cellular (5G/5G-Adv/LTE) systems or networks is a strong plus.
Experience with data services including knowledge of protocols such as RTP/TCP/UDP/IP is required.
Exposure to network planning, measurement and optimization tools such as Atoll, Asset3G, iBwave, QXDM, DATUM, Accuver, TEMS, Ethereal, Actix, Agilent, R&S, Spirent, PCtel is a plus.
Knowledge of Hadoop, Spark, and other big data frameworks would be an advantage.

Benefits

Qualcomm is an equal opportunity employer.
Qualcomm is committed to providing an accessible process for individuals with disabilities.
Qualcomm is committed to making our workplace accessible for individuals with disabilities.