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Engineering Pod Lead
Turing Global India
- New York, New York, United States
- New York, New York, United States
About
Team Leadership
Lead and manage a pod of 48 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.
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 Qualifications
Master's degree or PhD in Electrical Engineering or Mechanical Engineering or a closely related discipline.
At least 5 years of hands‑on electrical engineering or mechanical 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.
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Languages
- English
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