Identify and resolve IP, SoC, board, and firmware issues; provide diagnostics support to internal engineering teams and external customers for chip screening, validation, and profiling
Participate in new APU/GPU silicon bring-up and execution
Optimize diagnostics software for coverage, effectiveness, and efficiency
Develop and deploy AI-based tools and workflows to accelerate test development, failure triage, and debug
Build and debug automation tools to improve productivity
Drive improvements to the development process and innovation in multimedia diagnostics
PREFERRED EXPERIENCES
Minimum 8 years of experience in driver, validation tool, or embedded software development, working closely with hardware designers and firmware teams
Strong mix of large-scale software development ability and hardware understanding
Proficient in C and modern C++ programming
Familiarity with Linux; device driver or firmware development experience required
Familiarity with source control systems (Git, Perforce)
Hands-on experience with SoC/board bring-up preferred
Strong debugging, testing, and communication skills
AI EXPERIENCE (REQUIRED)
Proven ability to develop and deploy AI/ML solutions that resolve real engineering problems - for example, automating test generation, hardware failure and log triage, debug assistance, or developer productivity tooling
Hands-on knowledge of Python and modern AI/ML frameworks and tooling (e.g., PyTorch, TensorFlow, LLM APIs and agent frameworks)
Ability to integrate AI into day-to-day engineering and development workflows, with sound judgment on where AI adds value versus traditional methods
A continuous learner who actively builds and applies new AI skills as the toolset evolves
PREFERRED (MULTIMEDIA DOMAIN)
Hands-on experience with video encode/decode and/or video post-processing
Familiarity with video post-processing and enhancement algorithms, including scaling, color space conversion, gamut remap, tone mapping, alpha blending, and HDR
Familiarity with CPU/GPU/APU architecture
Experience with multi-threading or parallel programming
ACADEMIC CREDENTIALS
B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or equivalent. Good written and verbal English required.
LOCATION
Shanghai, China
#LI-VC1
Benefits offered are described: AMD benefits at a glance.
AMD 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.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
THE ROLE
The Diagnostics team develops the software that brings up, validates, and qualifies AMD's multimedia IP across CPUs, APUs, and discrete GPUs. In this role you will design and develop diagnostics and validation tools for multimedia hardware features - including video encode/decode and post-processing - from pre-silicon through production. You will collaborate closely with hardware, firmware, driver, and validation teams, and support both internal engineering teams and external customers for chip screening, validation, and profiling. We are looking for a highly motivated engineer who enjoys low-level and embedded programming and can independently drive tasks to completion.
KEY RESPONSIBILITIES
Design and develop diagnostics software for multimedia IP feature bring-up and verification in pre-silicon (FPGA, C-Model, Palladium, etc.) and post-silicon (silicon and platform) environments
Identify and resolve IP, SoC, board, and firmware issues; provide diagnostics support to internal engineering teams and external customers for chip screening, validation, and profiling
Participate in new APU/GPU silicon bring-up and execution
Optimize diagnostics software for coverage, effectiveness, and efficiency
Develop and deploy AI-based tools and workflows to accelerate test development, failure triage, and debug
Build and debug automation tools to improve productivity
Drive improvements to the development process and innovation in multimedia diagnostics
PREFERRED EXPERIENCES
Minimum 8 years of experience in driver, validation tool, or embedded software development, working closely with hardware designers and firmware teams
Strong mix of large-scale software development ability and hardware understanding
Proficient in C and modern C++ programming
Familiarity with Linux; device driver or firmware development experience required
Familiarity with source control systems (Git, Perforce)
Hands-on experience with SoC/board bring-up preferred
Strong debugging, testing, and communication skills
AI EXPERIENCE (REQUIRED)
Proven ability to develop and deploy AI/ML solutions that resolve real engineering problems - for example, automating test generation, hardware failure and log triage, debug assistance, or developer productivity tooling
Hands-on knowledge of Python and modern AI/ML frameworks and tooling (e.g., PyTorch, TensorFlow, LLM APIs and agent frameworks)
Ability to integrate AI into day-to-day engineering and development workflows, with sound judgment on where AI adds value versus traditional methods
A continuous learner who actively builds and applies new AI skills as the toolset evolves
PREFERRED (MULTIMEDIA DOMAIN)
Hands-on experience with video encode/decode and/or video post-processing
Familiarity with video post-processing and enhancement algorithms, including scaling, color space conversion, gamut remap, tone mapping, alpha blending, and HDR
Familiarity with CPU/GPU/APU architecture
Experience with multi-threading or parallel programming
ACADEMIC CREDENTIALS
B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or equivalent. Good written and verbal English required.
LOCATION
Shanghai, China
#LI-VC1
Benefits offered are described: AMD benefits at a glance.
AMD 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.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
