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

Job description

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > ASICS Engineering General Summary: About Qualcomm Qualcomm is a global technology leader driving innovations in wireless communications, AI, computing, and connected systems. Our engineering teams develop industry-leading silicon, software, FPGA prototyping platforms, emulation systems, and validation solutions that enable the next generation of mobile, automotive, AI, and edge computing products. Role Summary We are seeking highly motivated engineers to join Qualcomm's SoC Design, Validation, Debug, Infrastructure, FPGA, and Emulation organizations. In this role, you will work on industry-leading SoCs and development platforms spanning design, validation, system debug, silicon characterization, CAD software, FPGA prototyping, and emulation. You will collaborate closely with architects, RTL designers, verification engineers, software developers, and validation teams to develop innovative solutions that improve product quality, accelerate system bring-up, and enable next-generation computing platforms. Key Responsibilities Develop and enhance solutions supporting SoC design, validation, debug, FPGA prototyping, and emulation environments. Design, implement, validate, and debug hardware and software components used in advanced SoC development platforms. Perform pre-silicon and post-silicon bring-up, failure analysis, root-cause investigation, and performance characterization. Develop automation, infrastructure, and tooling using modern programming languages and scripting environments. Support debugging of low-level hardware and software issues across complex SoC platforms. Analyze system performance, power, functionality, reliability, and timing across multiple subsystems. Collaborate with global engineering teams, technology partners, and tool vendors to improve methodologies, workflows, and product quality. Leverage automation and AI technologies to improve engineering productivity and debug efficiency. Qualifications 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 Strong analytical, debugging, and problem-solving skills. Ability to work effectively in a collaborative, cross-functional environment. Preferred Qualifications 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. Core Technical Skills Programming & Software C/C++ Python Tcl Perl Linux / Embedded Linux Software Design and Development Practices Automation and Scripting Hardware & SoC ASIC Design SoC Architecture Hardware Validation Hardware Debug Performance and Power Analysis RTL Design Verilog / SystemVerilog FPGA Design Tools & Infrastructure JTAG Debug Git JIRA CI/CD Automation Flows Simulation, Emulation, and Prototyping Tools Linux Development Environments 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. Silicon Validation & Debug 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 & Performance Validation Power characterization Thermal analysis Vmin/Fmax characterization CPU/GPU/DDR/NoC analysis Performance optimization Low-power design methodologies DFT & Manufacturing Validation MBIST ATPG Structural testing Yield analysis Scan-based debug Silicon characterization FPGA Firmware & Embedded Systems 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 Emulation & Platform Methodology FPGA prototyping Palladium and Veloce platforms Emulation build generation Platform bring-up System-level debug methodologies Timing closure and deployment flows CAD & EDA Software Development CAD tool development Algorithms and data structures Emulation infrastructure Synthesis optimization Partitioning Clock optimization Compute and storage optimization Why Join Us Work on in