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Merge Labs

Develops high-bandwidth brain–computer interfaces

Electrical Engineer

Board & Electronics Design +1Confirmed live in the last 24 hours
Full-time$225k - $260k /yrIn-person

About the Job

Requirements

  • Deep experience designing complex electronic systems and a track record of personally taking multiple hardware designs through architecture, board bring-up, debugging, verification, and manufacturing transfer.
  • Advanced mixed-signal expertise, with strong low-noise analog and/or power fundamentals combined with high-speed digital integration, clocking, signal integrity/power integrity, grounding, and dense-system judgment.
  • Strong hands-on debugging instincts and comfort using oscilloscopes, spectrum/network analyzers, logic analyzers, electronic loads, precision sources/meters, and custom test setups to isolate root cause.
  • Practical proficiency in Python and C/C++ for hardware bring-up, automated characterization, test control, and integration.
  • A systems mindset toward instrumentation, including calibration, uncertainty, repeatability, observability, documentation, and reproducible measurements.
  • Experience delivering manufacturable designs and working directly with vendors and contract manufacturers through release, test development, yield, and reliability issues.

Responsibilities

  • Architect, design, simulate, lay out, bring up, and verify complex electronics integrating custom ASICs, FPGAs, MCUs, high-speed digital interfaces, low-noise analog, clocks/triggers, and power delivery.
  • Own critical PCBAs and system-level electrical architecture, including signal integrity/power integrity, grounding, clocking, EMC/EMI, thermal/electrical interactions, interconnect, and design-for-manufacturing/design-for-test tradeoffs.
  • Develop and deploy automated test and characterization infrastructure, including custom test hardware, integration firmware, and Python/C/C++ tooling for bring-up, verification, data capture, and manufacturing test.
  • Build scientist-facing electronic instrumentation, including signal-conditioning modules, calibration fixtures, sensor/actuator interfaces, trigger/clock distribution, reference standards, custom data-acquisition/test boards, and reusable hardware that makes bench setups repeatable.
  • Define quantitative performance and acceptance criteria, including noise, gain, linearity, bandwidth, dynamic range, timing skew/jitter, channel variation, drift, calibration, and measurement uncertainty as appropriate; validate with data and document reproducible procedures.
  • Own the technical relationship with design vendors and PCBA assembly/test houses, defining design-for-test strategies, inspection/test criteria, yield targets, failure-analysis loops, and production release requirements.
  • Collaborate with Mechanical, ASIC/FPGA, Firmware, Software/Platform, Clinical, and scientific teams to ensure electrical systems meet device-performance, measurement-quality, usability, and experimental requirements.
  • Mentor engineers and establish best practices for design reviews, documentation, verification, test automation, and cross-functional hardware integration.

Desired Qualifications

  • Experience with ultrasound, imaging, scientific instrumentation, lab automation, medical devices, implantables, or large-channel-count acquisition systems.

About the Company

Merge Labs

Develops high-bandwidth brain–computer interfaces

Merge Labs develops brain–computer interfaces to connect human brains with computers. Its product focus is high-bandwidth neural implants that read neural signals and transmit data to AI systems and software, enabling bidirectional communication between brain and machine. The implants are designed to work with advances in AI and neural sensing hardware, using a system of implants, interfaces, and software to interpret brain activity and control devices or software. Compared with competitors, Merge Labs aligns with Sam Altman’s vision of human–machine convergence, leveraging OpenAI ventures connections and positioning itself as a Neuralink rival with an emphasis on higher data throughput and scalable AI-assisted interpretation. The company’s goal is to create seamless, high-bandwidth brain–computer communication that enhances human capabilities and enables new ways of interacting with technology.

Company size
51-200
Company stage
Seed
Total funding
$252M
Headquarters
San Francisco, CA
Founded
2025

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