SoC Systems & Infrastructure Engineer (Design • Validation • Debug • FPGA • Emulation • Software)

• Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field.
• Experience in one or more of the following areas: ASIC / SoC Design Hardware or System Debug Validation Engineering FPGA Development Emulation Platforms CAD / EDA / Software Development

• Hardware or System Debug
• Validation Engineering
• FPGA Development
• Emulation Platforms

• Strong analytical, debugging, and problem-solving skills.
• Ability to work effectively in a collaborative, cross-functional environment.

• Master's or PhD in Computer Engineering, Electrical Engineering, Computer Science, or related field.
• Experience with complex SoC architectures including CPUs, DSPs, GPUs, DDR, NoCs, peripherals, and interconnects.
• Experience with Linux and embedded software development.
• Familiarity with modern AI-assisted engineering workflows and automation technologies.

• C/C++
• Python
• Tcl
• Perl

• Software Design and Development Practices
• Automation and Scripting

• ASIC Design
• SoC Architecture
• Hardware Validation
• Hardware Debug
• Performance and Power Analysis
• RTL Design

• FPGA Design

• JTAG Debug
• Git
• JIRA

• Simulation, Emulation, and Prototyping Tools

• Hardware and Software Debug Tools

Specialized Skills Areas: Candidates may specialize in one or more of the following domains:

Content and Validation: SoC/System Validation Expertise – End-to-end pre-silicon and post-silicon validation, bring-up, system integration, and silicon debug.

• Hardware-Software Co-Debug – Strong debugging across SoC architecture, embedded software, firmware, drivers, and hardware interfaces.
• Validation Content & Framework Development – Design scalable test content, automation frameworks, CI/CD pipelines, analysis, and debug infrastructure.
• Low-Level Programming – Proficiency in C/C++, Python, Assembly, Linux, device drivers, and bare-metal software development.
• Architecture & Domain Knowledge – Deep understanding of CPU, DDR, NoC/interconnects, memory hierarchy, clock/power management, low-power modes, and performance architecture.
• Performance, Power & Concurrency Analysis – System-level validation of bandwidth, latency, QoS, throughput, scalability, and power-performance tradeoffs.
• Pre-Silicon Platforms – Experience with simulation, emulation (RUMI/Veloce/FPGA), RTL understanding, and validation readiness.
• AI-Driven Validation – Applying AI/ML to improve validation productivity.
• Lab & Debug Tools – Hands-on experience with JTAG, logic analyzers, oscilloscopes, kernel debuggers, and silicon debug methodologies.
• Technical Leadership & Cross-Functional Collaboration – Work effectively across architecture, design, firmware, software, and validation teams to drive silicon quality.

• Pre-silicon and post-silicon bring-up
• Failure analysis and root-cause debugging
• Platform-level debug
• Lab equipment usage
• JTAG and trace-based debugging
• PVT and marginality analysis
• AI-assisted debug automation

• Power characterization
• Thermal analysis
• Vmin/Fmax characterization
• CPU/GPU/DDR/NoC analysis
• Performance optimization
• Low-power design methodologies

• MBIST
• ATPG
• Structural testing
• Yield analysis
• Scan-based debug
• Silicon characterization

• Xilinx and Intel FPGA platforms
• FPGA firmware development
• Embedded Linux
• PCIe, AXI, Ethernet, and I2C protocols
• High-speed digital design
• Clock domain crossing and timing closure

• FPGA prototyping
• Palladium and Veloce platforms
• Emulation build generation
• Platform bring-up
• System-level debug methodologies
• Timing closure and deployment flows

• CAD tool development
• Algorithms and data structures
• Emulation infrastructure
• Synthesis optimization
• Partitioning
• Clock optimization
• Compute and storage optimization

• Work on industry-leading mobile, AI, automotive, and computing SoCs.
• Collaborate with world-class engineers across hardware, software, FPGA, emulation, validation, and debug domains.
• Solve challenging technical problems that span the entire silicon development lifecycle.
• Gain exposure to cutting-edge technologies, advanced development platforms, and large-scale engineering infrastructure.
• Help shape the future of connected computing, AI, and next-generation semiconductor products.

Build the future of AI and mobile computing.

From SoC design and validation to silicon debug, FPGA prototyping, emulation, and software infrastructure, Qualcomm offers opportunities to work across the full spectrum of semiconductor development.

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Pay range and Other Compensation & Benefits :

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted.

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