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Human Brain Project Jobs (NOW HIRING)

Astera

Senior Software Engineer

Emeryville, CA · On-site

$100K - $400K/yr

Unlike traditional non-profit research organizations, Astera funds and operates projects like high ... human brain. This role spans a broad spectrum of activities: * Architect high-performance ...

OSI Engineering

Reliability Engineering Lead

Palo Alto, CA · On-site

$300K - $400K/yr

... the human brain and AI. Their goal is to create a direct connection between mind and machine ... Strong project ownership with the ability to lead reliability efforts across multiple engineering ...

Nvidia

AI Inference Performance Engineer

Santa Clara, CA · Hybrid

$164K/yr

Influence the ecosystem: contribute to TensorRT-LLM, vLLM, SGLang, and other open-source projects ... Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used ...

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How much do human brain project jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for human brain project in the United States is $53.44, according to ZipRecruiter salary data. Most workers in this role earn between $40.87 and $66.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a neuroscientist working on the Human Brain Project, and why are they important?

To thrive as a neuroscientist on the Human Brain Project, you need a strong background in neuroscience, computational modeling, and data analysis, usually supported by a PhD or equivalent experience in a relevant field. Familiarity with brain imaging tools, high-performance computing systems, and programming languages such as Python or MATLAB is typically required. Critical thinking, interdisciplinary collaboration, and effective communication are essential soft skills for contributing to complex, team-based research. These skills and qualities are vital for advancing brain research through innovative, large-scale scientific projects that integrate data from multiple domains.

What is the difference between Human Brain Project vs Neuroscientist?

AspectHuman Brain ProjectNeuroscientist
Required CredentialsAdvanced degrees in neuroscience, computer science, or related fieldsPhD or equivalent in neuroscience or related disciplines
Work EnvironmentResearch institutions, universities, collaborative international projectsLaboratories, universities, research centers
Industry UsageInterdisciplinary research focusing on brain modeling and simulationBasic and applied neuroscience research, experimental studies

The Human Brain Project is a large-scale, interdisciplinary research initiative aimed at understanding the human brain through modeling and simulation, often involving computational work. A neuroscientist, on the other hand, conducts experimental research to understand brain functions, typically working in labs. While both roles require advanced degrees in neuroscience, the Human Brain Project emphasizes computational and collaborative research, whereas neuroscientists focus on experimental studies and data collection.

What types of collaboration can professionals expect when working on the Human Brain Project?

Professionals working on the Human Brain Project collaborate closely with multidisciplinary teams, including neuroscientists, computer scientists, engineers, and clinicians. Daily responsibilities often involve cross-team meetings, joint research efforts, and sharing data and tools across international partners. Strong communication skills and adaptability are essential, as projects are highly interconnected and require integrating diverse perspectives and expertise. This environment fosters both individual growth and teamwork, while providing opportunities to contribute to groundbreaking research in neuroscience and technology.

What is the Human Brain Project?

The Human Brain Project (HBP) is a large-scale, multidisciplinary research initiative funded by the European Union, launched in 2013. Its primary goal is to advance our understanding of the human brain by integrating neuroscience, computing, and medicine. The project brings together scientists from multiple fields to develop new tools, models, and simulations, ultimately aiming to improve brain-related research and contribute to innovations in neurological healthcare. The HBP also emphasizes open collaboration by providing digital infrastructure and data to the global research community.
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What are the most commonly searched types of Human Brain Project jobs? The most popular types of Human Brain Project jobs are:
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Human Brain Project jobs near you
Infographic showing various Human Brain Project job openings in the United States as of July 2026, with employment types broken down into 5% As Needed, 69% Full Time, 19% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $111,157 per year, or $53.4 per hour.
Senior Firmware Engineer

Senior Firmware Engineer

OSI Engineering, Inc.

Palo Alto, CA • On-site

$75 - $95/hr

Other

Re-posted 13 days ago

Job description

Senior Firmware Engineer

Company Overview

Company is developing a next-generation AI wearable that combines ultra-high-density neural sensing with a Brain Foundation Model to decode neural signals and convert thought into text without surgery. The company is focused on advancing noninvasive brain-computer interface (BCI) technology, enabling real-time interaction between the human brain and AI. Their goal is to create a direct connection between mind and machine through an EEG-powered wearable platform designed for communication, productivity, and human augmentation.

Position Summary

Generalist with rotating focus across the firmware stack. Moves across subsystems as work demands, picks up a primary domain at a time (RTOS and low-power state machines, wireless connectivity, sensor-acquisition drivers, inter-MCU bridges) and rotates as priorities shift. Works under the Lead FW''''''''s architectural direction. Works extensively with external engineering teams at CMs and silicon vendors, the work is outsourced; the accountability is shared with the Lead.

Responsibilities:

  • Own subsystem-level firmware under the Lead FW''''''''s architectural direction.
  • Take an assigned subsystem from spec through driver implementation, integration, bring-up, and validation.
  • Rotate across primary domains as the roadmap demands.
  • Run hands-on bring-up and debug — first power-on, peripheral bring-up, bus traffic validation, timing analysis, deep-sleep budget verification — with JTAG/SWD, logic analyzers, and protocol sniffers.
  • Partner with EE lead and EE ICs on co-debug for new boards — own the firmware side of bring-up checklists.
  • Partner with audio, camera, and biosensor leads to integrate their algorithms into the firmware runtime.
  • Contribute to the team''''''''s firmware engineering practices.
  • Drive external silicon-vendor engagement.

Requirements:

  • 5 years embedded firmware — at least one shipped consumer product where you owned a subsystem end-to-end.
  • Hands-on Zephyr RTOS experience on Nordic silicon (nRF5x, nRF53, or nRF54L families) — peripheral drivers, deep-sleep state machines, low-power optimization, interrupt-driven design.
  • Hands-on ESP-IDF firmware experience on ESP32-family silicon — Wi-Fi/BLE stack integration, multi-radio coexistence, OTA infrastructure.
  • Hands-on STM32 firmware experience — HAL/LL drivers, CubeMX toolchain, timer/DMA/peripheral configuration.
  • Hands-on experience writing sensor-acquisition drivers on standard buses (SPI, I²C, I²S, USB) — DMA-driven sampling, ring buffers, hardware-aligned timestamping.
  • Comfortable in the lab — JTAG/SWD, logic analyzers, protocol sniffers.
  • Direct experience partnering with EE on hardware bring-up and co-debug.
  • Experience with Nordic Semiconductor nRF52 family devices.
  • Experience with SoC bring-up.
  • Experience with sensor hub development and integration.
  • Experience with PPG sensor integration is preferred.
  • Ability to work across multiple areas of embedded systems development.
  • Generalist mindset with flexibility to support changing project priorities.

Desired Skillsets:

  • Raspberry Pi or comparable Linux SBC firmware experience — userspace drivers, bus interaction with attached MCUs, Linux-side tooling for development-host bring-up.
  • Adjacent embedded ecosystems — FreeRTOS, ThreadX, NuttX, or bare-metal Cortex-M development.
  • ARM secure-partition development (TrustZone or comparable). 
  • On-device flash file system work — LittleFS, SPIFFS, or equivalent on SPI NAND/NOR.
  • Hosting real-time DSP runtimes alongside wireless connectivity on resource-constrained MCUs.
  • Hardware-aligned cross-sensor timestamping for biopotential signal chains.
  • Early-stage or contract experience at a consumer hardware startup.
  • Experience with Wi-Fi and Bluetooth Low Energy (BLE) is preferred.
  • Experience with DSP/DSD-related development is a plus.
  • Familiarity with relevant signal chains is a nice-to-have.

Location: Palo Alto, CA (Hybrid Schedule, 2 days/week in office)

Duration: 12-month contract with extension/conversion possibilities

Pay Rate Range: $75 to $95

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