Server Silicon Performance Analysis Engineer at Advanced Micro Devices, Inc

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

03 Sep, 26

Salary

0.0

Posted On

05 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Architecture, Performance Profiling, Hardware Performance Counters, C++, Python, Data Analysis, Operating Systems, CPU Core Analysis, Memory Subsystems, I/O Subsystems, Simulation Data Analysis, Competitive Analysis

Industry

Semiconductor Manufacturing

Description

WHAT YOU DO AT AMD CHANGES EVERYTHING 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. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. Server Performance Analysis Engineer THE ROLE: AMD is looking for a motivated engineer to help analyze and optimize performance of EPYC based servers for cloud, enterprise, HPC and AI/ML workloads. THE PERSON: Successful candidates in this role have broad interests in Computer Systems performance, with strong expertise in Computer Architecture, keen attention to detail, excellent collaboration and communication skills (written and spoken), ability to work independently and come up with creative solutions to challenging engineering problems. KEY RESPONSIBILITIES: Characterize the properties of Cloud, Enterprise, HPC/ML/AI workloads Analyze performance profiling data, traces and simulation data to quantify and isolate performance bottlenecks on current generation hardware. Capture traces, run simulations of future designs and highlight key performance sensitivities and bottlenecks to microarchitecture development teams Work with relevant software teams to drive optimizations based on performance analysis into key server software components (linux, compiler, Java, KVM, etc). Perform competitive analysis across AMD and other hardware platforms. PREFERRED SKILLS AND EXPERIENCE: Strong foundation in any two of CPU core, memory, storage and I/O subsystems Power user of performance profiling and hardware performance counter tools Familiarity with complex cloud or enterprise software such as database, data analytics, machine learning, and relevant benchmarks such as SPECCPU, SPECjbb15, etc. Familiarity with operating systems concepts (e.g. scheduling, memory management, paging, interrupt handling, etc Good programming skills in any language (C/C++) Data analysis skills (Excel or Python) REQUIRED EXPERIENCE: B.Tech + 4 years in Performance Engineering, or M.Tech + 2 years, or PhD + 0 years, in Computer Science/Engineering or related field of study #LI-PK1 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.

Responsibilities

Analyze and optimize the performance of EPYC based servers for cloud, enterprise, HPC, and AI/ML workloads. This includes identifying bottlenecks through profiling and simulation to drive microarchitecture and software optimizations.