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Anthropic

Security Software Engineer, Platform Integration

Anthropic

Published 11 May 2026
New York City, NY; San Francisco, CA; Seattle, WA
405K - 405K USD Annual
Full Time

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Role Highlights

Languages used

Key skills

Computer Science
Integrations
Design Patterns
Security Engineer
AI
CPU
Kernel
Server
Research
Physics
Biology
Interpretability
Multimodal

Tools, Libraries and Frameworks

FirmWare
Rest
HTTP

Description

The role involves serving as the technical owner of the platform trust integration surface. The individual will build and maintain the host-side software stack that ingests hardware-produced trust primitives to gate production workloads. Responsibilities include developing attestation verification pipelines and validating interconnect topology claims for multi-node workloads. The position requires ensuring that platform trust extends to all relevant components and peripherals. The individual will write code, own services, and maintain accountability for the correctness of the platform trust pipeline in production.

Required Qualifications and Skills

Candidates must possess deep systems software engineering experience with kernel, firmware, or low-level platform code. A strong understanding of hardware in modern server platforms and modern attestation primitives is required. Applicants should have a history of shipping security-critical code in production at scale and the ability to critically evaluate vendor documentation. A bachelor's degree or an equivalent combination of education, training, and experience is the minimum educational requirement.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Anthropic

Size

265

Public/Private

Privately Held

Description

Anthropic is an AI safety and research company focused on crafting AI systems that are reliable, interpretable, and steerable, ensuring they remain safe and beneficial for users and society. With an interdisciplinary team experienced in machine learning, physics, policy, business, and product development, Anthropic is dedicated to the mission of beneficial AI. The company emphasizes collaborative big science research, leveraging a unified team approach to focus on large-scale research efforts aimed at advancing long-term goals of creating trustworthy AI systems.

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