Lead System Development Engineer
AMD · Posted Oct 5
High-performance processors, graphics cards, data center solutions, and AI accelerators
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About the role
AMD is looking for a Lead System Development Engineer to join a team enabling AI inference on AMD's Versal AI Edge SoC platforms. The role works across the full vertical stack, collaborating with embedded Linux, AI runtime, hardware, and platform teams to integrate, validate, and deliver AI solutions on AMD's latest AI Edge hardware. Work spans system design, board bring-up, BSP integration, AI runtime enablement, system characterization, and application pipeline development, with a strong focus on system-level quality and customer readiness.
What you will do
- Design, implement, and verify FPGA/SoC subsystems for AI edge platforms, including hardware accelerator integration, IP configuration, and design bring-up
- Profile and characterize hardware designs — timing closure, resource utilization, power analysis, and thermal behavior — and drive identified issues to resolution
- Debug design-specific hardware issues using in-system debug tools (logic analyzers, hardware monitors, JTAG) and correlate findings across RTL, firmware, and software layers
- Lead platforms bring-up activities for new AI edge SoC hardware, including boot flow validation, storage subsystem integration, and peripheral initialization
- Integrate and validate AI inference runtimes and hardware accelerator stacks on embedded SoC targets, debug performance, correctness, and model deployment issues end-to-end
- Support deep learning model compilation, quantization, and optimization workflows targeting embedded AI accelerators (NPU/DPU/spatial compute engines)
- Develop and maintain Yocto-based embedded Linux — recipes, layers, rootfs configuration, and kernel/driver integration
- Write tooling and automation to support hardware validation, device programming workflows, and CI/CD pipelines
- Partner with hardware and silicon teams on system stability, power characterization, and platform validation
- Contribute to technical documentation, release notes, and customer-facing enablement content
Skills used in this role
Preferred qualifications
- Hands-on FPGA/SoC design experience: RTL integration, IP configuration
- Experience with FPGA design tools (Vivado or equivalent) for implementation, resource analysis, power estimation, and in-system debug
- Proficiency with hardware profiling and characterization: performance benchmarking, power/thermal analysis, and design-specific bottleneck identification
- Proficiency with low-level hardware debug tools: JTAG, in-system logic analyzers, hardware monitors, signal analyzers
- Strong C/C++ development skills with emphasis on embedded and systems-level code quality
- Experience with embedded NPU, DPU, or spatial/dataflow AI accelerators — integration, debugging, and performance tuning
- Hands-on experience deploying AI inference frameworks on edge or embedded hardware — ONNX Runtime, TensorFlow Lite, TensorRT, or equivalent vendor-specific runtimes
- Hands-on Yocto/Open Embedded and embedded Linux experience: BSP bring-up (bootloaders, device trees, kernel drivers), recipe authoring, layer customization, and rootfs configuration
- Working knowledge of hardware acceleration concepts: DMA, memory-mapped I/O, PCIe, interrupt handling, shared memory buffers
- Experience with GStreamer or comparable multimedia/dataflow pipeline frameworks for hardware-accelerated workloads is a plus
Benefits and support
- Compensation and benefits are detailed in the job posting
About AMD
AMD is a global semiconductor company that designs high-performance central processing units (CPUs), graphics processing units (GPUs), and adaptive processors for data centers, personal computers, gaming consoles, and embedded systems. The company specializes in advanced computing solutions and AI accelerators, positioning itself as a major leader in modern high-performance and artificial intelligence hardware. Through strategic developments and acquisitions, AMD continues to expand its ecosystem across cloud infrastructure, enterprise computing, and physical AI.
- Industry
- Semiconductors
- Company size
- 31000 employees
- Founded
- 1969-05-01
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company
- 2007-11-16Post Ipo
Leadership
Chair and Chief Executive Officer
Executive Vice President, Chief Financial Officer and Treasurer
Executive Vice President and Chief Technology Officer
Executive Vice President and Chief Commercial Officer
Executive Vice President and General Manager, Data Center Solutions Business Group
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