

Job Summary
The AML Governance, Sr. Analyst, will play a key role in supporting eBay’s robust governance and oversight framework for the Anti-Money Laundering (AML) Compliance Program. This position centers on supporting core governance functions such as:
Required Qualifications
Preferred Qualifications
The base pay range for this position is expected in the range below:
$70,000 - $120,700משרות נוספות שיכולות לעניין אותך

Are you excited to:
Develop and maintain sanctions systems, understanding their operations and alignment with the sanctions risk appetite.
Drive sanctions screening re-calibration.
Define and drive sanctions screening requirements in collaboration with the product management team.
Assist the business in identifying and understanding Sanctions risk exposures.
Analyze business data to identify trends and assess potential Sanctions risks.
Review escalations from ongoing screening processes for Sanctions nexus.
Qualifications:
2+ years of compliance experience in fin-tech, start-ups, technology, or emerging financial services, 5+ Sanctions program experience.
Material experience with sanctions screening tool requirements, testing, calibration, and documentation.
Knowledge and experience with OFAC and non-US Sanctions laws, regulations, and compliance requirements (including reporting and record retention).
Strong organizational skills with project management experience.
Ability to thrive in a fast-paced, dynamic, and time-critical environment.
Strong interpersonal, analytical, and problem-solving skills.
Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.
The base pay range for this position is expected in the range below:
$84,800 - $146,900
What you will accomplish:
What you will bring:
Qualification Preferences:
The base pay range for this position is expected in the range below:
$70,000 - $120,700
Job Description:
Intermediate SOC Analyst (L2)
Key Responsibilities:
Your Skills and Expertise
To set you up for success in this role from day one, 3M requires
(at a minimum) the following qualifications:
Additional qualifications that could help you succeed even further in this role include:
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
Please access the linked document by clicking select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.

What You'll be Doing:
Build system hardware products around GPU & Tegra SoC.
Collaborate with cross-function team to pursue the balance of product cost, performance, and schedule under the guidance of system architects and product architects.
Drive initial test and bringup, lead the debug efforts.
Create schematic, supervise PCB layout and system validation.
Handle documentation required to release the product to manufactures and partners.
Optimize/invent circuits, functions for better performance, and lower cost.
Improve the design flow together with the infrastructure team.
What We Need to See:
Recent graduate with a B.S or M.S. in Electrical Engineering or equivalent experience.
Have strong analytical skills including past experience in PCB design and review.
Experience with using lab tools such as oscilloscopes, multimeters, and logic analyzers.
Possess a nurtured knowledge of Linux, and be very comfortable working in various Linux environments as well as with Windows OS’s
Strong verbal and written skills.
You will also be eligible for equity and .

What you'll be doing:
Work with architects, designers, and performance engineers to develop an energy-efficient GPU.
Identify key design features and workloads for building Machine Learning based unit power/energy models.
Develop and own methodologies and workflows to train models using ML and/or statistical techniques.
Improve the accuracy of trained models by using different model representations, objective functions, and learning algorithms.
Develop methodologies to estimate data movement power/energy accurately.
Correlate the predicted energy from models built at different stages of the design cycle, with the goal of bridging early estimates to silicon.
Work with performance infrastructure teams to integrate power/energy models into their platforms to enable combined reporting of performance and power for various workloads.
Develop tools to debug energy inefficiencies observed in various workloads run on silicon, RTL, and architectural simulators. Identify and suggest solutions to fix the energy inefficiencies.
Prototype new architectural features, build an energy model for those new features, and analyze the system impact.
Identify, suggest, and/or participate in studies for improving GPU perf/watt.
What we need to see:
Pursuing or recently completed a MS or PhD in Electrical Engineering, Computer Engineering, Computer Scienceor equivalent experience.
Strong coding skills, preferably in Python, C++.
Background in machine learning, AI, and/or statistical modeling.
Background in computer architecture and interest in energy-efficient GPU designs.
Familiarity with Verilog and ASIC design principles is a plus.
Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities.
Basic understanding of fundamental concepts of energy consumption, estimation, and low power design.
Desire to bring quantitative decision-making and analytics to improve the energy efficiency of our products.
Good verbal/written communication and interpersonal skills.
You will also be eligible for equity and .

What you'll be doing:
You will be contributing to power estimation models and tools for GPU products and systems like NVIDIA DGX.
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 for NVIDIA 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.
What we need to see:
Pursuing a MSEE/MSCE, 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.
You will also be eligible for equity and .

Job Summary
The AML Governance, Sr. Analyst, will play a key role in supporting eBay’s robust governance and oversight framework for the Anti-Money Laundering (AML) Compliance Program. This position centers on supporting core governance functions such as:
Required Qualifications
Preferred Qualifications
The base pay range for this position is expected in the range below:
$70,000 - $120,700משרות נוספות שיכולות לעניין אותך