Arun Raja Manjini

Arun Raja Manjini

GPU Validation Sr. Engineer @ Qualcomm

About

I thrive on the challenges of silicon bring-up and power-on processes, adeptly triaging failures to debug and root out complex RTL, firmware, and architectural issues. My role is instrumental in enabling powerful computing solutions while fostering a passion for functional validation and a commitment to learning new technologies that change our world. With the latest collaboration on AI Cluster debug and bring-up on AI Accelerator Fabric with Scale-up and Scale-out feature validation on Networking, PCIe, PnP with MLPerf workloads was new start for my long term career.

Country

United States

City

San Diego

Industry

Semiconductors

Skill

Test Bench, Scoreboard, Root Cause, Skill Development, Google Slides, Presentations, Sales Engineering, Digital twin, Presentation Skills, Team Leadership, Communication, Natural Language Processing (NLP), LangChain, RAG, docker, Sales, RISC, X86, Data Centers, Functional Verification

Experience

Qualcomm

GPU Validation Sr. Engineer

Qualcomm

LinkedIn
2025-11 - Present · 11 mos

GPU Validation - Power

Intel

SoC Validation Engineer

Intel

LinkedIn
2021-8 - 2025-11 · 4 yrs 4 mos

Hillsboro, Oregon, United States

Post-Si Server CPU Validation Engineer working on Xeon 6 (GNR). -> Coherency Domain Validation - Test planning and Coverage. -> Silicon bring-up/power-on - BIOS knobs Validation and Feature enabling. -> Triage of failures in Volume Validation - TOR TO debugs, PM sideband TO. -> Performance counters - Emon tools for perf analysis. -> DTTC Presenter - Breker PSS tool on Xeon 6 Gaudi3 - Rack Scale-up Power-on -> On Ubuntu Software Validation on UBB with 8 OAM cards. -> PCIe Debug on scale-up issues - Card not training to Gen5 or link down -> Characterization and Triage through JIRA Customer Issues Debug - L1 -> Benchmarks: SpecPower, Llama 3 training/ inference WL, Deepseek R1 full model inference with BF16 with CPU, Gaudi3 AI Accelerators and NVIDIA H100 GPGPUs. -> Emon tools analysis for perf improvement -> Core pipeline characterization - Front-end bound, Back-end bound, and Memory-bound. -> Autonomous Crash Dump Analysis/ Review for Customer Fleet Debug, and enhancements.

Tata Consultancy Services

Assistant System Engineer - Trainee

Tata Consultancy Services

LinkedIn
2018-9 - 2019-8 · 1 yr

Hyderabad Area, India

Education

Texas A&M University-Kingsville

Texas A&M University-Kingsville

LinkedIn

Electrical Engineering

2019-8 - 2021-5 · 1 yr 10 mos

Improving my problem-solving attitude and solving the ambiguous questions for this world. Following Moore's Law - Semiconductor, VLSI, RTL- Verilog, SystemVerilog, UVM, STA

Sri Manakula Vinayagar Engineering College

Sri Manakula Vinayagar Engineering College

LinkedIn

Electronics and Communications Engineering

2014 - 2018 · 4 yrs
Petit Seminaire Higher Secondary School

Petit Seminaire Higher Secondary School

LinkedIn
2002 - 2014 · 12 yrs

Arun Raja Manjini's Contact Information

Email

******@***.com

Phone

(**) *** ****

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