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AI Job Summary

Design and lay out compact PCBs for wearable devices, integrating sensors and power management circuits while optimizing for low power consumption and battery life. Implement wireless protocols and high-speed interfaces with attention to signal integrity and regulatory compliance. Lead hardware bring-up and debugging across mechanical, thermal, and firmware challenges. Requires a Bachelor's degree in Electrical Engineering or related field and two years of hardware development experience shipping products. PCB design tools like Altium Designer, low-power microcontroller experience, and board bring-up expertise are preferred.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • Own end-to-end multi-layer, rigid, and rigid-flex PCB layout, optimizing for ultra-compact wearable form factors.
  • Select and integrate bio-metric, inertial, and environmental sensor suites while ensuring low noise and data accuracy.
  • Architect ultra-low-power systems using Power management integrated circuits (PMICs), fuel gauges, and charging circuits to maximize overall battery life.
  • Implement high-speed interfaces (SPI, Mobile Industry Processor Interface (MIPI)) and wireless protocols (BLE, Wi-Fi) ensuring signal integrity and FCC/CE compliance.
  • Lead hardware bring-up and debugging while partnering cross-functionally to resolve mechanical, thermal, and firmware constraints.

Minimum qualifications:

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
  • 2 years of experience in hardware development, and shipping electronic products.

Preferred qualifications:

  • Experience designing with low-power microcontrollers (ARM Cortex-M or similar) and managing power-constrained architectures.
  • Experience with hardware debugging, board bring-up, and prototyping lab equipment.
  • Proficiency in ECAD tools for schematic capture and PCB layout (e.g., Altium Designer, KiCad, or Orcad).
  • Familiarity simulating mixed-signal circuits in SPICE or similar tools.
  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
  • 2 years of experience in hardware development, and shipping electronic products.
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  • Role Electrical Engineer, Robotics, DeepMind
  • Experience 3-4 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

152K – 335K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 36 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
2 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
3-4 years

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