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Electrical engineering pod lead

Boa Vista
MillionLogics
Anunciada dia 9 abril
Descrição

Company Description

MillionLogics is a trusted Oracle Partner and a global leader in innovative IT solutions, with offices in London, UK, and a state-of-the-art development hub in Hyderabad, India. The company specializes in transformative, future-ready solutions, including Data & AI, Cloud migrations, IT consulting, and enterprise application optimization, with a strong focus on Oracle Cloud and database technologies. Backed by over 45+ technology experts and led by visionary leadership, MillionLogics delivers tailored and results-driven technology solutions. Committed to empowering organizations worldwide, the company embraces innovation and excellence to drive digital transformation. To learn more, visit: millionlogics.com.


Role Overview

An Electrical Engineering Pod Lead responsible for managing a small team creating simulation-based design problems used to train and evaluate advanced AI models. The role owns problem quality, reproducible environments, and coordination with AI researchers, and requires strong EE domain depth plus hands-on Python, Docker, and basic cloud skills to review and support the pod end-to-end.


Offer Details :

* Contract Duration : 12 months
* Pay : US $200 (take-home) per task
* Experience : 5+ years
* Position : 5
* Work Mode : Remote


Key Responsibilities

* Team Leadership
* Lead and manage a pod of 4–8 Engineering Design Specialists by assigning tasks, reviewing deliverables, removing blockers, and mentoring on problem design, simulation rigor, and documentation.
* Act as the main point of contact with AI research teams to translate model feedback into refinements, while running regular syncs, tracking progress, and reporting updates and risks to program leads.
* Technical Oversight
* Oversee and approve pod outputs, maintain reproducible Docker-based simulation environments, support cloud infrastructure for simulation/grading,
* Develop and review Python automation/validation, and proactively resolve dependency, versioning, and reproducibility issues.
* Problem Design (Individual Contribution)
* Personally design a portfolio of high-difficulty electrical engineering problems in your chosen subdomain.
* Set the quality bar and design philosophy for the pod through your own example submissions.


Electrical Engineering Subdomains:

You must have deep expertise in at least one of the following, with working familiarity across others being a strong plus:

* Analog / Mixed-Signal IC Design — op-amp topologies, ADC/DAC design, noise analysis, layout-aware design, SPICE-level simulation.
* Power Electronics — DC-DC converters, inverter design, magnetics sizing, thermal management, efficiency optimization.
* RF / Microwave Engineering — filter design, impedance matching, S-parameter analysis, transmission line and antenna design.
* Digital Systems / FPGA / ASIC — RTL design, timing closure, synthesis-aware design, hardware-software co-design.
* Embedded Systems — microcontroller/DSP-based design, real-time constraints, peripheral interfacing, power budgeting.


Required Qualification:

* Master's degree or PhD in Electrical Engineering or a closely related discipline.
* At least 5 years of hands-on electrical engineering design experience, with a track record of owning designs from specification through validated implementation.
* At least 1–2 years of experience in a technical lead, senior engineer, or team coordination role.
* Proficiency with Python for scripting, automation, and simulation workflows.
* Hands-on experience with Docker: building images, writing Dockerfiles, managing containerized environments.
* Familiarity with at least one cloud platform (AWS, GCP, or Azure) — comfortable running workloads, managing storage, and monitoring jobs.
* Proficiency with at least one open-source EE simulation tool (e.g., ngspice, PySpice, Qucs, OpenEMS, scikit-rf, or similar)


Nice to Have

* Experience designing engineering coursework, exam problems, or design challenges at graduate level.
* Familiarity with CI/CD pipelines or automated testing frameworks.
* Exposure to LLM evaluation, AI benchmarking, or training data curation.
* Cross-domain familiarity with Control Systems, Embedded/Robotics, or Power Systems.


Evaluation Process

* Shortlisted candidates will be sent a Job Interest Form.
* Shortlisted candidates will receive a Job Interest Form. After the initial profile review, we will share an assessment, which must be completed within 24 hours. Based on the assessment submission and your responses, we may schedule an interview round.


How to Apply: Please send us your updated CV to with Job ID- 72132 as your email subject.

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