Member of Technical Staff, Security

present of AI; San Francisco (CA); Sur place; USD 140 000 - 180 000; Plein temps

Résumé du poste

Wafer is hiring an engineer to secure the production software and cloud infrastructure that powers its AI inference platform. The role involves hands-on work across design reviews, access controls, secrets, networking, and remediation, alongside other engineers.

A strong candidate will read unfamiliar systems, assess risks, and carry fixes through to verified remediation. The job focuses on securing multi-tenant GPU serving and credential handling within AI workloads.

Qualifications

• Hands-on engineer securing production software and cloud infrastructure by writing code.
• Experience with identity and access controls, secrets management, and vulnerability remediation.

Responsabilités

• Participate in design reviews and implement robust security controls.
• Work on networking, IAM, secrets, and detection tooling with other engineers.
• Own fixes through verification and remediation to production.

Connaissances

Secure coding

Identity & secrets management

Vulnerability remediation

Security automation & detection

Description du poste

A hands on engineer who secures production software and cloud infrastructure by writing code, not just writing policy. The work spans design review, identity and access controls, secrets, networking, vulnerability fixing and detection tooling, done alongside other engineers. A strong candidate can dig into unfamiliar systems, judge which risks matter most, and carry fixes through to verified remediation.

How it fits the AI era

The product itself is an AI inference cloud, so the systems to secure include GPU serving and multi tenant model access, where isolation and credential handling carry real weight. AI tools can speed up scanning, log triage and drafting automated checks, but judgment about which risks matter and ownership of the fix stay with the engineer. Detection and incident response still need a person who understands the system well enough to act.

How it builds AI experience

This role builds AI experience through securing the infrastructure that serves open models, including tenant isolation and access controls around inference workloads. Candidates can strengthen their case by showing security work on cloud native or multi tenant systems and by being fluent with automation for scanning and detection. Direct exposure to AI serving platforms helps but is described as useful rather than required.

Worth showing

• Secure coding and debugging
• Identity and secrets management
• Vulnerability remediation ownership
• Security automation and detection

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Wafer

An AI inference provider that uses AI agents to tune GPU code, which it says lets open models run faster on AMD and Nvidia chips.