{"id":2910577,"url":"https://alion.io/job/amd-lead-system-development-engineer","title":"Lead System Development Engineer","company":{"id":93,"name":"AMD","domain":"amd.com","url":"https://alion.io/company/amd","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":{"grade":"B","score":75,"open_postings":162,"ghost_share":0,"stale_share":0.994,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-25T05:49:26Z"}},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":71000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":14},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Linux","optional":false},{"name":"Quantization","optional":false},{"name":"C++","optional":true},{"name":"GStreamer","optional":true},{"name":"LiteRT","optional":true},{"name":"ONNX Runtime","optional":true},{"name":"TensorRT","optional":true},{"name":"Xilinx Vivado","optional":true}],"status":"live","first_seen_at":"2026-10-05T08:22:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-26T04:51:25Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"ADVANCE YOUR CAREER. ADVANCE THE WORLD.\nAt AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.\nWhether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we’ll advance your career.\nLead System Development Engineer\nTHE ROLE:\nAMD is looking for a Lead System Development Engineer to join a team enabling AI inference on AMD's Versal AI Edge SoC platforms. You will work 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. The role 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\nTHE PERSON:\nThe ideal candidate operates at the hardware-software boundary - someone who can design and implement FPGA/SoC subsystems, profile and characterize hardware designs, and debug issues that span RTL, firmware, and software layers. You are equally comfortable in a design tool analyzing timing or resource utilization as you are reading a device driver or inference runtime log. You take ownership of complex, cross-layer problems and drive them to resolution independently.\nKEY RESPONSIBILITIES:\nDesign, implement, and verify FPGA/SoC subsystems for AI edge platforms, including hardware accelerator integration, IP configuration, and design bring-up\nProfile and characterize hardware designs - timing closure, resource utilization, power analysis, and thermal behavior - and drive identified issues to resolution\nDebug design-specific hardware issues using in-system debug tools (logic analyzers, hardware monitors, JTAG) and correlate findings across RTL, firmware, and software layers\nLead platforms bring-up activities for new AI edge SoC hardware, including boot flow validation, storage subsystem integration, and peripheral initialization\nIntegrate and validate AI inference runtimes and hardware accelerator stacks on embedded SoC targets, debug performance, correctness, and model deployment issues end-to-end\nSupport deep learning model compilation, quantization, and optimization workflows targeting embedded AI accelerators (NPU/DPU/spatial compute engines)\nDevelop and maintain Yocto-based embedded Linux - recipes, layers, rootfs configuration, and kernel/driver integration\nWrite tooling and automation to support hardware validation, device programming workflows, and CI/CD pipelines\nPartner with hardware and silicon teams on system stability, power characterization, and platform validation\nContribute to technical documentation, release notes, and customer-facing enablement content\nPREFERRED EXPERIENCE:\nHands-on FPGA/SoC design experience: RTL integration, IP configuration\nExperience with FPGA design tools (Vivado or equivalent) for implementation, resource analysis, power estimation, and in-system debug\nProficiency with hardware profiling and characterization: performance benchmarking, power/thermal analysis, and design-specific bottleneck identification\nProficiency with low-level hardware debug tools: JTAG, in-system logic analyzers, hardware monitors, signal analyzers\nStrong C/C++ development skills with emphasis on embedded and systems-level code quality\nExperience with embedded NPU, DPU, or spatial/dataflow AI accelerators - integration, debugging, and performance tuning\nHands-on experience deploying AI inference frameworks on edge or embedded hardware - ONNX Runtime, TensorFlow Lite, TensorRT, or equivalent vendor-specific runtimes\nHands-on Yocto/Open Embedded and embedded Linux experience: BSP bring-up (bootloaders, device trees, kernel drivers), recipe authoring, layer customization, and rootfs configuration\nWorking knowledge of hardware acceleration concepts: DMA, memory-mapped I/O, PCIe, interrupt handling, shared memory buffers\nExperience with GStreamer or comparable multimedia/dataflow pipeline frameworks for hardware-accelerated workloads is a plus\nBenefits offered are described: AMD benefits at a glance.\nAMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.\nAMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.\n\nThis posting is for an existing vacancy.\nLead System Development Engineer\nTHE ROLE:\nAMD is looking for a Lead System Development Engineer to join a team enabling AI inference on AMD's Versal AI Edge SoC platforms. You will work 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. The role 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\nTHE PERSON:\nThe ideal candidate operates at the hardware-software boundary - someone who can design and implement FPGA/SoC subsystems, profile and characterize hardware designs, and debug issues that span RTL, firmware, and software layers. You are equally comfortable in a design tool analyzing timing or resource utilization as you are reading a device driver or inference runtime log. You take ownership of complex, cross-layer problems and drive them to resolution independently.\nKEY RESPONSIBILITIES:\nDesign, implement, and verify FPGA/SoC subsystems for AI edge platforms, including hardware accelerator integration, IP configuration, and design bring-up\nProfile and characterize hardware designs - timing closure, resource utilization, power analysis, and thermal behavior - and drive identified issues to resolution\nDebug design-specific hardware issues using in-system debug tools (logic analyzers, hardware monitors, JTAG) and correlate findings across RTL, firmware, and software layers\nLead platforms bring-up activities for new AI edge SoC hardware, including boot flow validation, storage subsystem integration, and peripheral initialization\nIntegrate and validate AI inference runtimes and hardware accelerator stacks on embedded SoC targets, debug performance, correctness, and model deployment issues end-to-end\nSupport deep learning model compilation, quantization, and optimization workflows targeting embedded AI accelerators (NPU/DPU/spatial compute engines)\nDevelop and maintain Yocto-based embedded Linux - recipes, layers, rootfs configuration, and kernel/driver integration\nWrite tooling and automation to support hardware validation, device programming workflows, and CI/CD pipelines\nPartner with hardware and silicon teams on system stability, power characterization, and platform validation\nContribute to technical documentation, release notes, and customer-facing enablement content\nPREFERRED EXPERIENCE:\nHands-on FPGA/SoC design experience: RTL integration, IP configuration\nExperience with FPGA design tools (Vivado or equivalent) for implementation, resource analysis, power estimation, and in-system debug\nProficiency with hardware profiling and characterization: performance benchmarking, power/thermal analysis, and design-specific bottleneck identification\nProficiency with low-level hardware debug tools: JTAG, in-system logic analyzers, hardware monitors, signal analyzers\nStrong C/C++ development skills with emphasis on embedded and systems-level code quality\nExperience with embedded NPU, DPU, or spatial/dataflow AI accelerators - integration, debugging, and performance tuning\nHands-on experience deploying AI inference frameworks on edge or embedded hardware - ONNX Runtime, TensorFlow Lite, TensorRT, or equivalent vendor-specific runtimes\nHands-on Yocto/Open Embedded and embedded Linux experience: BSP bring-up (bootloaders, device trees, kernel drivers), recipe authoring, layer customization, and rootfs configuration\nWorking knowledge of hardware acceleration concepts: DMA, memory-mapped I/O, PCIe, interrupt handling, shared memory buffers\nExperience with GStreamer or comparable multimedia/dataflow pipeline frameworks for hardware-accelerated workloads is a plus\nBenefits offered are described: AMD benefits at a glance.\nAMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.\nAMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.\n\nThis posting is for an existing vacancy.","description_format":"text","description_chars":10084,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-20T09:28:01Z"}],"visa":[],"liveness":{"score":54,"band":"ok","label":"Likely open","p_open":1,"p_active":0.602,"p_room":0.9,"age_days":19,"expected_fill_days":29,"reasons":["conf:0","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":null,"html_url":"https://alion.io/job/amd-lead-system-development-engineer","json_url":"https://alion.io/job/amd-lead-system-development-engineer.json","meta":{"generated_at":"2026-10-26T04:56:00Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6563,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":93},"rest":"https://alion.io/mcp/rest/get_company?id=93"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Famd-lead-system-development-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Famd-lead-system-development-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Famd-lead-system-development-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/amd-lead-system-development-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famd-lead-system-development-engineer"}]}