Power Attainment Engineer - Data Center GPU

AMD; Austin (TX); On-site; USD 157,000 - 236,000; Full time

Job summary

A leading tech company in Austin is seeking a Power Engineer to optimize GPU performance and manage power features. Candidates should have extensive experience in semiconductor engineering and strong analytical skills. The role involves executing test plans and collaborating with various engineering teams. This position offers a competitive salary and benefits.

Benefits

Competitive salary

AMD benefits package

Qualifications

• 8+ years of experience in semiconductor engineering.
• Ability to deliver multiple projects timely.
• Excellent grasp of GPU architecture.

Responsibilities

• Execute Power Attainment test plans for Data Center GPU.
• Analyze and debug power management interactions.
• Drive automation creation for workload execution.

Skills

Hands-on experience in semiconductor industry

Skills in power management

Programming skills in Python

Knowledge of HPC/AI applications

Strong analytical skills

Education

Bachelor’s or Master’s degree in electrical/computer engineering or computer science

Tools

Oscilloscope

Data Acquisition Systems (DAQ)

JMP analysis tools

Job description

Power Engineer – AMD

Base pay range: $157,040 – $235,560 per year.

At AMD, our mission is to build great products that accelerate next‑generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems.

THE ROLE

The successful candidate will assume responsibility for silicon and system level electrical validation, maximizing performance/watt through power management feature tuning and optimization, power model correlation and prototyping activities of AMD Datacenter GPU products. You will interact with key System and Power Management Architects, Firmware teams, Power Modelling Leads, Board Design & Validation Engineers, Performance engineers, Customer Engineering teams as well as Product Definition team to achieve the desired product goals.

KEY RESPONSIBILITIES

• Execute Power Attainment test plans in post‑silicon phases in support of Data Center GPU product roadmap optimizing for power, perf/watt and performance.
• Configure and setup ML/AI Datacenter GPU systems for data collection, experiments and test plan execution.
• Utilize lab equipment such as oscilloscope, high speed probes, function generator and data acquisition equipment to gather required electrical characterization data for power and performance optimization.
• Actively participate in analysis of post silicon performance and power data collected to ensure integrity of results, provide summary and conclusions of results, drive productization of features.
• Analyze and debug interactions between various power management features.
• Analyzing data from workload or execution output datalogs using excel or JMP analysis tools manually or developed automation.
• Execute ROI analysis of power management features and provide feedback to power management architecture team.
• Support prototyping experiments and development of new GPU features that impact performance and power.
• Electrically stress the system, validate the limits of ASIC and system/board components and optimize settings for stability and performance.
• Troubleshoot system‑level issues that may occur in test environments and platforms.
• Proactively drive continuous improvement for post‑silicon power attainment activities.
• Participate in development of automation environment in developing scripts automating workloads, enhancing capabilities of execution capabilities in Linux, Python and other support software support tools.
• Work in a fast‑paced resource constrained environment to build top of the line HPC & AI GPU products.

PREFERRED EXPERIENCE

• 8+ years of hands‑on experience as an engineer in semiconductor industry.
• Demonstrated ability to execute and deliver multiple projects in a timely fashion.
• Prioritizing work items in a fast‑paced environment and escalating as necessary.
• Excellent grasp of computer organization/architecture, GPU architecture and power management.
• Knowledge in power limited performance methodologies and control theory.
• Extensive experience in platform optimization. Solid knowledge of Computer I/O.
• Experience with tools for power and performance analysis.
• Strong programming skills, scripting experience in Python preferred.
• Familiarity with HPC/AI applications, benchmarks would be a big plus.
• Desirable to be proficient in Linux command line environment and Shellscripting.
• Deep knowledge of power management techniques like deep sleep, clock gating, pstates etc.
• Experience with container technologies (ex. Docker).
• Strong analytical and problem‑solving skills with a key attention to detail.
• Experience in data analysis, summarization, and presentation.
• Excellent presentation and communication skills.
• Experience in use and debug of lab tools such as oscilloscopes, DAQs, power measurement capabilities.

ACADEMIC CREDENTIALS

Bachelor’s or Master’s degree in electrical or computer engineering or computer science, minimum 7‑10 years industry experience required.

LOCATION

Austin, TX.

BENEFITS

AMD benefits at a glance.

EEO STATEMENT

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.