Modem Software Engineer

Technology, Data & Digital · Software & Web Development · Software Engineering · Embedded Systems

In short

Qualcomm is seeking a Modem Software Engineer in San Diego, CA to join the Modem Performance and Architecture team. This role involves analyzing modem workloads, evaluating architectural trade-offs, and driving improvements in performance, power, and efficiency for next-generation modem products, including AI-Native 6G smartphones and autonomous vehicles.

Responsibilities

Play a key role in foundational architectural initiatives influencing future Qualcomm modem and Compute products.
Contribute to innovations in advanced memory architecture, optimization, performance optimization, and cache technologies.
Address challenges in power/performance/area (PPA), memory efficiency, reliability, security, and scalability.
Define and evaluate SoC-level performance requirements, including latency, throughput, and bandwidth constraints.
Participate in pre-silicon performance evaluations and architectural exploration.
Analyze real-world modem workloads to identify and solve performance and efficiency bottlenecks.
Apply data-driven analysis techniques, including traditional ML methods, to performance datasets.
Develop and maintain tools for silicon profiling, performance validation, and debug.

Requirements

Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.
Strong analytical and problem-solving skills for complex systems.
Strong fundamentals in computer architecture (processors, memory systems, embedded real-time systems, operating systems, low-level programming).
Ability to deliver quantifiable improvements in code performance through architectural redesign, compiler optimizations, hardware acceleration, and multithreading.
Experience with embedded software development using C/C++ (or ASM) with RTOS schedulers and kernel modules.
Strong programming capabilities with C (or C++) and Python.
Excellent written and verbal communication skills.

Desired Qualifications

Master’s degree in Computer Engineering, Computer Science, or Electrical Engineering (or foreign academic equivalent).
Up to five (5) years of cumulative work experience in a relevant field.
Experience contributing to performance analysis and/or optimization on embedded systems.
Experience using Python for tooling, data analysis, ML frameworks (e.g., PyTorch), or automation.
Debug experience using JTAG or equivalent hardware/software debug tools.
Exposure to compiler technology, low-level performance tuning, or system-on-chip (SoC) architecture.
Working knowledge of wireless protocols and technologies.
Proven ability to collaborate effectively across multi-disciplinary teams.
Familiarity with traditional machine learning and/or generative AI.

Benefits

Competitive annual discretionary bonus program.
Opportunity for annual RSU grants.
Highly competitive benefits package designed to support success at work, at home, and at play.
US benefits details available via provided link.