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Brain Co.

Non-invasive BCI and EEG prosthetics

Security Engineer - AI Infrastructure

Security Engineering & ArchitectureUpdated on Nov 13
Full-timeRemote in USARemote

About the Job

Requirements

  • Have 5 or more years of experience in security engineering, infrastructure, or site reliability engineering, including hands-on experience building or securing production systems at scale.
  • Be fluent in cloud security fundamentals, including identity and access management, networking, key management services, secrets, and isolation across AWS, Google Cloud Platform, or Azure.
  • Have designed and implemented secure systems end-to-end, rather than only reviewing systems after implementation.
  • Have hands-on experience with Kubernetes, container security, and Linux systems.
  • Be able to reason about threat models, trust boundaries, and failure modes and translate them into concrete controls.
  • Have experience with authentication and authorization systems, secrets management, and cryptography basics.
  • Be energized by writing code, shipping infrastructure, and partnering directly with infrastructure and platform engineers.

Responsibilities

  • Build security foundations for the AI platform, including identity, isolation, secrets management, and access control across cloud and Kubernetes environments.
  • Harden infrastructure end-to-end, from cloud networking and service meshes to continuous integration and continuous delivery pipelines and the data and model pipelines powering the AI capabilities.
  • Implement Zero Trust principles and machine identity across workloads, using short-lived credentials, least-privilege access, and encrypted service communication.
  • Protect customer data and agent workloads by designing secure execution environments and data access pathways for agents' code and actions on the systems.
  • Build security guardrails into infrastructure and deployment workflows using Terraform Infrastructure-as-Code.
  • Own threat modeling across infrastructure layers and identify and remediate risks before they become incidents.
  • Own security for forward-deployed infrastructure by designing and hardening bespoke virtual private clouds and customer-environment deployments.
  • Partner with platform, infrastructure, product, and machine learning teams to ship code and infrastructure together and provide secure-by-default systems.

Desired Qualifications

  • Experience with machine learning systems or multi-tenant platform isolation.
  • Familiarity with service mesh and Zero Trust architectures.
  • Proficiency in Go, Python, or a similar language for automation and tooling.
  • Terraform experience is preferred.

About the Company

Brain Co.

Non-invasive BCI and EEG prosthetics

BrainCo develops non-invasive brain-computer interface (BCI) technology that translates EEG and muscle signals into commands for external devices. Its product line includes the BrainRobotics hand, an FDA-certified prosthetic that uses AI to decode muscle signals to control individual fingers for tasks like writing or playing piano, and EEG headbands such as FocusCalm, Eassleep, and OxyZen for education, focus, sleep, and meditation. The company combines medical devices with wellness and learning tools, delivering neurotechnology through devices that capture brain or muscle activity and turn it into actionable feedback or control signals. Its goal is to broaden access to advanced neurotech by offering capable prosthetics and BCI solutions at a more affordable price while expanding applications in health, learning, and well-being.

Company size
51-200
Company stage
Series A
Total funding
$30M
Headquarters
San Francisco, CA
Founded
2025

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