Senior Engineer - 5G Systems Engineer

Overview

Senior engineering role working with wireless operators, infrastructure vendors and R&D teams on 6G/5G/5G-Advanced/LTE technologies, with a focus on systems performance, optimization and machine learning applied to network data.

What you'll do

• Characterize and optimize 5G/5G-Adv/LTE systems performance, and support debugging, demos and over-the-air (OTA) field trials of new features.
• Work with network equipment providers to resolve inter-operability issues and evaluate system performance including coverage, capacity and mobility on the OTA network.
• Design, optimize, estimate and manage capacity, and debug air-interface and core-network issues.
• Recommend system parameters and participate in new technology inter-operability tests and field trials with R&D teams, including lab performance studies.
• Interact with wireless operators to investigate and characterize network performance across core network, air interface, devices and applications.
• Contribute to projects in advanced topics such as ORAN/vRAN, private networks, fixed wireless access and small cells.
• Perform RF and OTA parametric optimization and troubleshooting using data collection and post-processing tools.
• Carry out 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 tools to measure existing and potential network performance.
• Use in-house simulation platforms written in C/C++/MATLAB with live network traffic data to develop solutions that improve network performance and efficiency.
• Support forward-looking solutions for network operator growth and expansion plans across all network entities.
• Develop white papers, conference contributions, technical memos, training documents and technical presentations on wireless performance, parameter optimization, standards and network/device issues.
• Present complex technical ideas and results to multi-level, multi-disciplinary internal and external audiences.
• Use data analytics and machine learning for ESG service portfolio enhancement in 4G/5G/Wi-Fi communication, including defining objectives and metrics, verifying and cleaning data, training models, analyzing errors and designing mitigation strategies, and cloud ML model architecture.
• Take part in or lead the process from data collection, filtering and preprocessing through model training to deployment and use.
• Coordinate and work across multiple Qualcomm teams and customers.
• Provide onsite support to mobile operators worldwide to roll out and enhance their 5G/5G-Adv/LTE networks.

What you'll need

• 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.
• Bachelor's Degree (BS) in Electrical Engineering with a senior focus in Wireless Communication Systems.
• 4-8 years of deep technical depth in 3GPP technology and End to End 4G/5G networks performance analysis/optimization.
• Academic background in digital communications, wireless and computer communication networks.
• Expertise in machine learning to support extraction of key value from logs/data collected.
• Ability to understand detailed technical design, implementation and issues related to 5G/5G-Adv/LTE technologies.
• Good knowledge of cellular (5G NR, 5G-Adv, and LTE) PHY/MAC and upper layers.
• 5G and LTE network performance assessment and optimization experience on major RAN infra-vendor(s).
• Academic coursework in some of: Digital Communications, Mobile Communications (wireless propagation, CDMA, OFDM principles), Communication Theory/Systems, Error Correcting Codes, Computer networks (TCP/IP), Probability theory and Random processes, Linear Algebra, DSP, MIMO techniques and Wireless Networks.
• Experience with data services including knowledge of protocols such as RTP/TCP/UDP/IP.
• Proficiency in Python-based scripting; optionally Perl scripting.
• Experience with machine learning algorithms, model building, evaluation and data manipulation.
• Excellent statistical analysis and data visualization skills with problem-solving abilities.
• In-depth understanding of machine learning fundamentals, including neural networks, CNNs and RNNs.
• Proficiency in ML frameworks such as TensorFlow, Keras, PyTorch, Scikit-learn, Pandas and NumPy.
• Independent and a team player able to work effectively with multi-functional engineering teams.
• Excellent written, verbal communication and presentation skills.
• Excellent customer management skills.
• Ability to coordinate and work across multiple Qualcomm teams and customers.

Nice to have

• Exposure to network planning, measurement and optimization tools such as Atoll, Asset3G, iBwave, QXDM, DATUM, Accuver, TEMS, Ethereal, Actix, Agilent, R&S, Spirent and PCtel.
• Academic projects and research in digital communications, wireless or computer networks, including technical conference paper submissions.
• Background in 3GPP protocol standards, design, development, integration and verification, and call processing of cellular (5G/5G-Adv/LTE) systems or networks.
• Knowledge of Hadoop, Spark and other big data frameworks.

Details

• Location: Mumbai, Maharashtra, India.
• Flexibility to travel up to 30%, both domestic and international.