Job Overview

Qualcomm is hiring a Senior Engineer - 5G Systems Engineer in Mumbai for work focused on advanced wireless technologies, network performance, optimization, and AI-enabled analysis. The role involves working closely with wireless operators, network infrastructure vendors, research teams, and other Qualcomm engineering groups to evaluate and improve 5G, 5G-Advanced, LTE, and emerging 6G technologies.

This position combines wireless systems engineering with data analytics and machine learning. You will investigate network behavior across the radio access network, core network, devices, and applications, while using field measurements, logs, simulations, and network data to identify performance opportunities. The role also includes supporting new technology trials, interoperability activities, customer deployments, technical documentation, and demonstrations.

A strong candidate will have practical knowledge of cellular networks, digital communications, 3GPP technologies, network optimization, and Python-based machine learning. The position also requires strong communication and customer-facing skills because engineers may support mobile operators around the world and travel up to 30% domestically and internationally.

Key Responsibilities

• Work with wireless operators to investigate and characterize 5G, 5G-Advanced, and LTE network performance.
• Analyze issues across core networks, air interfaces, devices, and applications and recommend technical improvements.
• Support advanced wireless initiatives involving O-RAN, vRAN, private networks, fixed wireless access, and small-cell deployments.
• Perform RF and over-the-air optimization using network measurements, logs, and post-processing tools.
• Support RF network planning activities such as propagation model calibration, link-budget analysis, coverage planning, capacity planning, and network growth estimation.
• Use handset and network infrastructure measurement tools to assess existing and potential network performance.
• Work with C, C++, and MATLAB-based simulation environments using live network traffic information.
• Develop technical approaches that improve wireless network performance, capacity, and efficiency.
• Support solutions for network operator expansion and growth across different network entities.
• Participate in interoperability testing, field trials, demonstrations, and performance studies for new wireless capabilities.
• Prepare white papers, technical memos, conference materials, training documents, and technical presentations.
• Explain complex wireless engineering results to technical, business, customer, and multidisciplinary audiences.
• Apply data analytics and machine learning to communication-service use cases involving 4G, 5G, and Wi-Fi.
• Build data preparation and model-development workflows, including objective definition, data-quality checks, cleaning, training, evaluation, and error analysis.
• Contribute to cloud-based machine learning model architecture and production-oriented AI workflows.

Required Skills

Candidates should have strong knowledge of cellular wireless systems, particularly 5G NR, 5G-Advanced, and LTE. Understanding of PHY and MAC layers as well as upper-layer cellular protocols is important for diagnosing and optimizing end-to-end network behavior.

The role requires a solid foundation in digital and mobile communications. Relevant areas include wireless propagation, CDMA, OFDM, communication theory, error-correcting codes, TCP/IP networking, probability and random processes, linear algebra, digital signal processing, MIMO, and wireless network architecture.

Experience with 3GPP technologies and end-to-end 4G/5G network performance analysis is highly relevant. Candidates should also understand data-service protocols such as RTP, TCP, UDP, and IP.

Strong Python scripting skills are required, along with experience using machine learning algorithms, model development, evaluation, data manipulation, statistical analysis, and data visualization. Knowledge of neural networks, convolutional neural networks, and recurrent neural networks is important for the AI and analytics portion of the role.

Preferred Skills

Experience with major RAN infrastructure vendors and practical 5G or LTE optimization is valuable. Exposure to O-RAN, vRAN, private networks, fixed wireless access, and small cells can strengthen an application.

Knowledge of network planning, measurement, and optimization tools such as Atoll, Asset3G, iBwave, QXDM, DATUM, Accuver, TEMS, Ethereal, Actix, Agilent, R&S, Spirent, and PCtel is a plus.

Experience with TensorFlow, Keras, PyTorch, Scikit-learn, Pandas, and NumPy is relevant to the machine learning responsibilities. Hadoop, Spark, and other big data technologies are additional advantages. Perl scripting may also be useful.

Academic research, technical projects, conference papers, or practical work involving digital communications, wireless networks, or computer networks can be valuable, particularly where the work demonstrates strong technical depth.

Education

The role lists a Bachelor's degree in Electrical Engineering with a senior focus in Wireless Communication Systems as a key qualification. Qualcomm's broader qualification paths also recognize Bachelor's, Master's, or PhD education in Engineering, Information Systems, Computer Science, or related fields, depending on the applicable experience pathway.

Experience

The position calls for 4 to 8 years of deep technical experience in 3GPP technologies and end-to-end 4G/5G network performance analysis and optimization. The posting also includes a general systems-engineering qualification pathway requiring relevant experience based on the candidate's education.

Candidates should demonstrate practical experience with wireless network performance, RF optimization, field measurements, troubleshooting, network planning, or related systems engineering. Experience applying machine learning to network data is also important.

Required Technologies

Key technologies and technical areas include 5G NR, 5G-Advanced, LTE, 6G, O-RAN, vRAN, private networks, fixed wireless access, small cells, RF optimization, OTA testing, RAN infrastructure, network planning, wireless propagation, CDMA, OFDM, MIMO, DSP, 3GPP, TCP/IP, RTP, UDP, IP, C, C++, MATLAB, Python, Perl, TensorFlow, Keras, PyTorch, Scikit-learn, Pandas, NumPy, Hadoop, Spark, machine learning, neural networks, CNNs, RNNs, statistical analysis, data visualization, and cloud ML architecture.

Relevant network tools include Atoll, Asset3G, iBwave, QXDM, DATUM, Accuver, TEMS, Ethereal, Actix, Agilent, R&S, Spirent, and PCtel.

Soft Skills

The role requires strong analytical and problem-solving ability, especially when interpreting complex network measurements and identifying the causes of performance issues. Engineers should be comfortable working independently while also contributing effectively to multidisciplinary teams.

Excellent written, verbal, presentation, and customer-management skills are important. The engineer will need to communicate technical findings clearly to wireless operators, internal engineering groups, infrastructure vendors, and other stakeholders.

A willingness to learn emerging wireless technologies and AI/ML techniques is also important. The role requires flexibility, innovation, and the ability to coordinate across multiple Qualcomm teams and customers. Travel of up to 30% for domestic and international activities should be expected.

Benefits of Working in this Role

This role provides hands-on exposure to advanced cellular technologies and real-world wireless network performance. Engineers can work across 5G, 5G-Advanced, LTE, emerging 6G concepts, network optimization, interoperability, field trials, and AI-driven analytics.

The combination of wireless systems engineering and machine learning can also help build broader expertise across network performance, data science, automation, and next-generation communication technologies. Customer-facing work and collaboration with R&D teams can provide experience in solving practical problems at large network scale.

Work Mode

The job description does not specify a remote or hybrid arrangement. This is a full-time position based in Mumbai and may involve domestic and international travel of up to 30%.

Location

Mumbai, Maharashtra, India.

Who Should Apply

This opportunity is suited to experienced systems engineers, wireless engineers, RF engineers, network optimization engineers, and professionals working in 4G/5G performance engineering.

Candidates should highlight experience with 5G NR, LTE, 3GPP standards, RAN performance, RF and OTA optimization, network planning, field trials, interoperability testing, or wireless network troubleshooting. Experience with Python and machine learning should also be clearly presented.

Engineers who have worked with network operators, infrastructure vendors, wireless measurement tools, or simulation platforms should describe the technical problems they solved and the measurable improvements they achieved.

Career Growth

Experience in this role can support career paths such as Senior Wireless Systems Engineer, 5G Systems Engineer, RF Optimization Engineer, RAN Performance Engineer, Wireless Network Architect, AI/ML Engineer for Telecommunications, Network Data Scientist, or Technical Lead.

Working across wireless standards, operator networks, R&D, field testing, and machine learning can also help engineers develop broader expertise in next-generation telecommunications and intelligent network optimization.

Application Advice

Focus your resume on hands-on 4G and 5G network performance work. Clearly mention experience with 5G NR, 5G-Advanced, LTE, 3GPP, RAN optimization, RF measurements, OTA testing, network planning, and troubleshooting.

Show practical Python and machine learning experience, including data preparation, model selection, training, evaluation, statistical analysis, visualization, and error analysis. If you have used TensorFlow, Keras, PyTorch, Scikit-learn, Pandas, NumPy, Hadoop, or Spark, connect each technology to a real project or outcome.