9 дней назад
Software Supply Chain Security Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Supply Chain Security Engineer (AI): Building a secure foundation for source-to-artifact pipelines, from code management through deployment into clusters, with an accent on build pipeline hardening, artifact provenance, and SLSA processes. Focus on threat modeling trust boundaries, securing CI/CD artifacts across fragmented environments, and integrating supply chain controls with fast engineering delivery.
Location: Sunnyvale, California, United States; hybrid
Company
builds AI accelerator hardware and computing platforms designed to deliver high-speed model training and inference.
What you will do
- Define and implement security requirements for artifact build pipelines, including maturing SLSA processes.
- Partner with platform, infrastructure, networking, and hardware teams to identify supply chain gaps and secure CI/CD artifacts end to end.
- Develop threat models for each layer of the build and deployment stack, including trust boundaries and first- and third-party mechanisms.
- Work with engineering leads and DevOps architects to integrate secure supply chain principles from the beginning.
- Balance security controls with engineering outcomes to support fast and secure delivery.
- Document security posture and strategy for technical and nontechnical audiences.
Requirements
- 8–10 years of experience with software supply chain and SDLC security, including secure code management, build pipeline hardening, artifact signing, attestation, and end-to-end integration.
- Strong hands-on engineering experience in DevOps and SDLC environments.
- Ability to work with fragmented and legacy build environments.
- Strong written communication skills and the ability to explain security concepts to non-specialists.
- Direct experience with agentic workflows and a deep understanding of LLM and reasoning cycles.
- A master’s degree in Computer Science or a PhD is preferred.
Nice to have
- Experience modernizing legacy technology stacks.
- Familiarity with AWS, Jenkins, SLSA, and secure artifact provenance and build practices.
Culture & Benefits
- Work on an AI platform designed beyond the constraints of GPUs.
- Opportunity to publish and open-source AI research.
- Work with a high-performance AI supercomputer platform.
- Startup vitality combined with business stability.
- Non-corporate culture focused on individual perspectives, learning, growth, and support.
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