Q

Qualcomm Tech Stack

Mobile and server CPU design with emerging AI acceleration focus

Semiconductor Manufacturing San Diego, CA 10,001+ employees Public Company

Qualcomm designs ARM-based and x86 processors across mobile, networking, and server markets, with heavy investment in custom CPU architectures and verification tooling. The tech stack reveals a shift toward AI workloads: adopting Vision Transformers, LangChain, and NPU acceleration alongside traditional RTL (Verilog, SystemVerilog, Cadence/Synopsys EDA), while pain-point data emphasizes power optimization and performance bottlenecks — both central to competing in server-class and edge AI inference. Engineering dominance in hiring (1,043 of 1,501 roles) tracks the active project list: IC packaging, DV automation, CPU power modeling, and firmware development.

Tech Stack 200 technologies

Core StackPython C++ ARM x86 RISC-V Verilog VHDL Perl Bash SystemVerilog Git YAML Cadence Innovus Synopsys Fusion Compiler C PCIe GPU UVM Tempus Innovus TCL Assembly C/C++ Makefiles FPGA QEMU ARM Fast Models ARMv9 ARMv8 ARM assembly+170 more

AdoptingTerraform Helm RPA Altair Slurm 5G Vision Transformer OpenXR+6 more

What Qualcomm Is Building

◆Challenges

Performance optimization
Improving tool efficiency
Risk mitigation
Optimizing power and performance
Performance bottlenecks
Supply continuity
Meeting oem requirements
Improving os power and performance
Process inefficiencies
Reducing cycle time

▲Active Projects

Ic packaging
Dv automation tools
Npu acceleration for machine learning inference
Performance verification for world-class custom cpus for server-class computers
Ai platform development
Management controller firmware development
Power management solution for future generation qualcomm cpus
Process and systems improvements
Cpu power modeling
Automation framework development

Hiring Activity

Steady1,500 roles · 550 in 30d

Department

Engineering

1043

Ops

82

Sales

69

Product

67

Finance

49

Marketing

34

Legal

27

HR

17

Seniority

Senior

560

Mid

306

Staff

174

Intern

115

Director

95

Junior

74

Manager

58

Principal

24

Notable leadership hires: Director Engineering, Director Applied ML, GTM Strategy Lead, IT Director, Sales Director

Company intelligence

Find more companies like Qualcomm by tech stack, pain points and active projects

Get started free

About Qualcomm

Qualcomm manufactures semiconductors for mobile devices, wireless networking, IoT, and server computing. The company designs processors at scale across ARM and x86 instruction sets, supported by in-house EDA workflows (Cadence Innovus, Synopsys Fusion Compiler) and simulation frameworks (QEMU, ARM Fast Models). Current project focus spans custom CPU architectures for server workloads, NPU-based machine learning inference, power management solutions, and design verification automation. Operations span 25+ countries, with major engineering centers in the United States, India, and Taiwan. As a public semiconductor manufacturer, Qualcomm faces cyclical demand, supply-chain constraints, and intense pressure to reduce design cycle time while meeting OEM power and performance requirements.

HeadquartersSan Diego, CA

Company Size10,001+ employees

Hiring MarketsIndia, United States, United Kingdom, Ireland, Taiwan, Canada, Vietnam, China

Frequently Asked Questions

What processor architectures does Qualcomm design?

ARM (ARMv8, ARMv9), x86, and RISC-V. Design work centers on custom CPUs for mobile, networking, and server-class computers, supported by simulation in ARM Fast Models and QEMU.

What new technologies is Qualcomm adopting?

Terraform, Helm, Slurm for compute infrastructure; Altair for simulation; Vision Transformers and LangChain for AI; OpenXR for AR; and Arduino for embedded systems. Also scaling NPU acceleration for ML inference.