Qualcomm India Private Limited
Engineering Group, Engineering Group \> Systems Engineering
This engineering position provides an opportunity to work closely with leading wireless operators, infrastructure vendors and R\&D Teams on cutting\-edge wireless technologies such as 6G/5G/5G\-Advanced/LTE. Responsibilities include 5G/5G\-Adv/LTE systems performance characterization and optimization, debugging support, demos and over the air (OTA) field trials of new features. Further responsibilities include working with the network equipment provider to resolve any inter\-operability issues, evaluate system performance including coverage, capacity and mobility on the OTA network. Additional areas of responsibility include design, optimization, capacity estimation and management, debugging of air\-interface and core\-network issues, system parameter recommendations, participating in new technology inter\-operability tests and field trials in conjunction with R\&D teams, lab performance studies, authoring white\-papers and documents on new wireless technologies and standards. The candidate should have an academic background in digital communications, wireless and computer communication networks. Candidate should also have expertise in machine learning to support extraction of key value from logs/data collected. You will be part or lead the processes from data collection, filtering, and preprocessing, to training the models and deploying them to production and use. Therefore, the ideal candidate will be passionate about artificial intelligence and stay up to date with the latest developments in the field.
The successful candidate should have the ability to understand detailed technical design, implementation and issues related to 5G/5G\-Adv/LTE technologies. The candidate should be able to provide onsite support to mobile operators worldwide to help roll out and enhance their 5G/5G\-Adv/LTE networks.
We are looking for highly motivated individual who is excited by the prospect of working on cutting\-edge 6G/5G/5GAdv technologies/evolutions, AI/ML algorithms, has high willingness to learn new things, and the ability to innovate. Candidate needs to have excellent communication, presentation and customer management skills. Candidate needs to have ability to coordinate and work across multiple Qualcomm teams and customers. Also needs to be flexible to travel (up to 30% both domestic and international).
- *Minimum Qualifications:**
- 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.
Responsibilities
- Interact with wireless Operators to investigate and characterize the performance of 5G/5G\-Adv/LTE networks in various aspects ranging from core network, air interface, to devices and applications
- Contributing to projects in advanced topics such as ORAN/vRAN, private networks, fixed wireless access, small cells etc.
- RF and OTA Parametric Optimization and troubleshooting involving the use of various complex data collection and post\-processing tools to assess wireless network performance and propose solutions to problems
- 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 \& efficiency
- Support development of forward\-looking solutions to address network operator growth and expansion plans covering all network entities
- Develop white papers, conference contributions, technical memos, new technology training documents and detailed technical presentations. These may be focused on wireless system performance, network parameter optimization, new wireless technology standards or analysis of wireless network/device issues
- Ability to present complex technical ideas and results to multi\-level, multi\-disciplinary internal and external audiences
o Identifying and understanding the objectives, followed by selection and model development that helps to achieve them, along with the metrics to track their progress
o Verifying data quality, and/or ensuring it via data cleaning
o Training models, analyzing the errors of the model and designing strategies to overcome them
o Cloud ML model architecture
- *Wireless Networks/Technology Skills:**
- 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
- 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 \- Proficiency with Python and basic libraries for machine learning
- *Programming and Machine Learning Skills:**
- 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 to tackle complex data challenges.
- 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.
- Knowledge of Hadoop, Spark, and other big data frameworks would be an advantage.
- *Minimum Qualifications:**
- 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
- 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
- *Applicants** : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e\-mail disability\-accomodations@qualcomm.com or call Qualcomm's toll\-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
- *To all Staffing and Recruiting Agencies** : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers .