Responsibilities

As a MTS for Technology & Security Engineering is responsible for architecting and operating the security engineering foundation that protects the organization’s corporate environment, multi-cloud research infrastructure, and multi-million-dollar GPU training capacity. This leader owns the full technical security stack — from end-user compute and zero-trust access to cloud and container security, detection engineering, and security-as-code — ensuring the organization can move at research speed without sacrificing rigor.
Sitting at the intersection of security engineering, infrastructure, and research operations, this role is uniquely positioned to define how a frontier AI company protects its most sensitive assets — model weights, training data, and GPU capacity — while preserving the low-friction environment researchers and engineers need to do their best work. The ideal candidate brings deep, hands-on technical depth alongside the executive presence to lead a security engineering function, represent the organization’s security posture to auditors and enterprise customers, and negotiate vendor and contractual risk.
This is a high-visibility, high-impact role that operates across engineering, infrastructure, legal, and physical security. Success requires the ability to design guardrails rather than gates, build systems that assume compromise, and operate credibly as both an executive leader and a hands-on builder.
High-Performance End User Compute (EUC)
Design and manage a highly resilient corporate device fleet spanning Linux, macOS, Windows and specialized hardware such as NVIDIA GPU workstations.
Shift the fleet away from restrictive MDM policies toward intelligent posture verification and cryptographic device binding, reducing friction without reducing assurance.
Secure diverse local toolchains and developer environments without breaking the workflows researchers and engineers depend on.
Securing the Research & Training Boundary
Architect cloud-native security controls across multi-cloud environments that contain multi-million-dollar GPU clusters.
Establish IAM governance, network segmentation, and isolation boundaries appropriate to the scale and sensitivity of training infrastructure and model assets.
Partner with infrastructure and research teams to ensure security controls scale with GPU capacity rather than constrain it.
Phishing-Resistant Zero-Trust Access

MTS, Technology & Security Engineering at Reflection AI · LumiJobs

MTS, Technology & Security Engineering

Responsibilities

Qualification

Required

Benefits

Company

Reflection AI

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