Electrical Engineer, GPU Systems @ Everline Tech | Jobright.ai
JOBSarrow
RecommendedLiked
0
Applied
0
External
0
Electrical Engineer, GPU Systems jobs in California, United States
Be an early applicantLess than 25 applicantsPosted by Agency
company-logo

Everline Tech · 10 hours ago

Electrical Engineer, GPU Systems

positionCalifornia, United States
timeFull-time
remoteRemote
seniorityEntry Level
money$108K/yr - $201K/yr
ftfMaximize your interview chances
Information Technology & Services
Hiring Manager
Aimen Abbasi
linkedin

Insider Connection @Everline Tech

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

You will be contributing to power estimation models and tools for GPU products and systems.
Early GPU & System Architecture exploration with focus on energy efficiency and TCO improvements at GPU and Datacenter level.
You will help with Performance vs Power Analysis future product lineup.
Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs, CPUs, Switches, and platforms.
Understand the workload characteristics for GenAI/HPC workloads at Datacenter Scale (multi-GPU) to drive new HW/SW features for Perf@Watt improvements.
Modeling & analysis of cutting-edge technologies like high speed & high-density interconnects.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Power/Performance estimationEnergy efficient chip designPythonLow power design techniquesPerformance modeling techniquesData analysis packagesGPU knowledgeSystem-SW architecture understandingPerformance monitors/simulatorsMulti-GPU workload understanding

Required

Pursuing a Bachelor’s in Electrical Engineering, or equivalent experience related to Power / Performance estimation and optimization techniques.
Knowledge of energy efficient chip design fundamentals and related tradeoffs.
Familiarity with low power design techniques such as multi-VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS).
Understanding of processors (GPU is a plus), system-SW architectures, and their performance/power modeling techniques.
Proficiency with Python and data analysis packages like: Pandas, NumPy, PyTorch.
Familiarity with performance monitors/simulators used in modern processor architectures.

Benefits

Equity
Benefits

Company

Everline Tech

twitter
company-logo
Welcome to Everline Tech, where we bridge the gap between top-notch U.S. engineering students/graduates and leading companies.
dateFounded in 2020
location
Chicago, Illinois, US
people-size51-200 employees
web-link
http://everlinetech.com/

Funding

Current Stage
Growth Stage
Company data provided by crunchbase
logo

Orion

Your AI Copilot