Full-Time

Electrical Engineer

Updated on 9/3/2026

Merge Labs

Merge Labs

11-50 employees

Develops high-bandwidth brain–computer interfaces

Compensation Overview

$225k - $260k/yr

San Francisco, CA, USA

In Person

Category
Hardware Engineering (1)
Required Skills
Printed Circuit Board (PCB) Design
Python
Oscilloscope
C/C++
FPGA

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Requirements
  • Deep experience designing complex electronic systems and personally taking multiple hardware designs through architecture, board bring-up, debugging, verification, and manufacturing transfer.
  • Advanced mixed-signal expertise, including strong low-noise analog and/or power fundamentals combined with high-speed digital integration, clocking, signal integrity/power integrity, grounding, and dense-system judgment.
  • Hands-on debugging experience using oscilloscopes, spectrum/network analyzers, logic analyzers, electronic loads, precision sources/meters, and custom test setups to isolate root causes.
  • 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 application-specific integrated circuits, field-programmable gate arrays, microcontrollers, high-speed digital interfaces, low-noise analog, clocks/triggers, and power delivery.
  • Own critical PCB assemblies and system-level electrical architecture, including signal integrity/power integrity, grounding, clocking, electromagnetic compatibility/electromagnetic interference, 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 for repeatable workflows.
  • Define quantitative performance and acceptance criteria, including noise, gain, linearity, bandwidth, dynamic range, timing skew/jitter, channel variation, drift, calibration, and measurement uncertainty; validate with data and document reproducible procedures.
  • Own technical relationships with design vendors and contract-manufacturing 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, laboratory automation, medical devices, implantables, or large-channel-count acquisition systems.

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

11-50

Company Stage

Seed

Total Funding

$252M

Headquarters

Palo Alto, California

Founded

2025

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Simplify Jobs

Simplify's Take

What believers are saying

  • Butterfly's September 1, 2026 deal creates a commercial supply chain immediately.
  • OpenAI pledged scientific foundation models and frontier tools to accelerate Merge's R&D.
  • Ultrasound BCI leverages Butterfly's 71.4% gross margin platform and semiconductor manufacturing.

What critics are saying

  • A $252 million seed round funds research, not FDA-approved products or revenue.
  • Neuralink's implant-first progress and clinical visibility threaten Merge's noninvasive positioning.
  • OpenAI's insider support invites governance scrutiny if Merge misses milestones before 2027.

What makes Merge Labs unique

  • OpenAI invested in Merge Labs' $252 million seed round at an $850 million valuation.
  • Merge Labs uses ultrasound-on-chip from Butterfly Network, unlike Neuralink's invasive electrodes.
  • Sam Altman, OpenAI, and Forest Neurotech give Merge exceptional AI and neuroscience access.

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Growth & Insights and Company News

Headcount

6 month growth

-6%

1 year growth

-8%

2 year growth

-8%
Yahoo Finance
Sep 3rd, 2026
Sam Altman-backed Merge Labs selects Butterfly Network as exclusive ultrasound chip supplier for brain interfaces

Merge Labs, a brain-interface startup backed by OpenAI and Sam Altman, has selected Butterfly Network as its exclusive ultrasound-on-chip supplier under a multiyear agreement. The deal includes upfront payments, development milestones, purchase commitments, access fees, and potential royalties, though specific amounts were not disclosed. Butterfly's semiconductor-based ultrasound architecture makes the system programmable and easier to embed in new devices. The company retained rights to license its technology to other partners. Butterfly's second-quarter revenue increased 39% to $32.6 million, with gross margin expanding to 71.4%. Adjusted EBITDA loss narrowed 78% to $1.4 million. Management raised full-year revenue guidance to $119 million to $123 million. Thirty-three hedge funds held Butterfly Network in the second quarter, up from 26 in the first quarter.

Florida Today
Feb 14th, 2026
OpenAI invests in Merge Labs at $850M valuation

OpenAI has invested in Merge Labs at an $850 million valuation, according to reports. The investment focuses on scalable AI backends, including AICC technology. Details about the funding round, including the investment amount and other participants, were not disclosed. The partnership appears aimed at advancing AI infrastructure and backend capabilities. Merge Labs is working on developing scalable systems to support AI applications. The company's technology is designed to handle the computational demands of modern AI models. The investment represents OpenAI's continued expansion beyond its core business into supporting technologies and infrastructure for artificial intelligence development.

TechCrunch
Jan 16th, 2026
OpenAI invests in Sam Altman’s brain computer interface startup Merge Labs | TechCrunch

Merge Labs is a “research lab” dedicated to “bridging biological and artificial intelligence to maximize human ability.” OpenAI wrote the largest check in Merge Labs' $250 million seed round at an $850 million valuation.

Bloomberg Law
Jan 15th, 2026
Sam Altman's Merge raises $252M to connect human brains to computers

Merge Labs, co-founded by AI billionaire Sam Altman, has raised $252 million to develop devices connecting human brains to computers. The company aims to seamlessly link people and artificial intelligence to "maximise human ability, agency, and experience". The funding reflects growing Silicon Valley interest in brain-computer interfaces as entrepreneurs anticipate a future where AI becomes so advanced that humans may need to augment their brains to keep pace. Similar to how smartphones provide digital access, experimental brain technology is being designed to streamline human interaction with AI systems. The investment underscores the increasing focus on neurotechnology as a key frontier in the race to integrate artificial intelligence into human capabilities.

Wired
Dec 19th, 2025
Sam Altman’s New Brain Venture, Merge Labs, Will Spin Out of a Nonprofit

Merge Labs, a brain-computer interface startup that seeks to read brain activity using ultrasound, is being spun out of Forest Neurotech, a Los Angeles nonprofit.