- D-Matrix designs and manufactures purpose-built AI inference silicon, systems, and software. As our first dedicated Information Security hire, the Senior Manager, Information Security will build a unified security function that consolidates security responsibilities from across the company, with the opportunity to grow a team over time
- You will report to the VP of Information Technology and Infrastructure Services and own the security roadmap and budget. Your focus will be protecting proprietary chip design IP (RTL, GDSII), EDA workflows, the software supply chain, internal AI agents, and the corporate, cloud, and lab infrastructure the company depends on
- You will partner closely with Silicon and Software Engineering leaders, IT, SRE, and Facilities to keep development, customer collaboration, and product shipping both fast and secure
- Build and execute a unified security roadmap and budget across corporate IT, cloud, and product development, consolidating tools and managing security vendors
- Partner with IT and SRE to mature identity governance, endpoint detection and response, vendor risk management, and incident response, and lead readiness for compliance programs such as SOC 2 Type II and ISO/IEC 27001
- Protect chip design IP (RTL, GDSII), EDA workflows, and software source through least-privilege access, network segmentation, exfiltration controls, and encrypted transfer to foundry and OSAT partners
- Partner with hardware teams to assess foundry, component-sourcing, and logistics risk and co-architect hardware roots of trust, unique chip identifiers, and secure boot
- Establish trusted software supply chain practices, including SBOMs, signed builds, and provenance tracking for compilers, runtimes, and model artifacts
- Secure cloud, colocation, on-premises, API, and customer-facing inference environments by enforcing Zero Trust, phishing-resistant MFA, and DevSecOps practices
- Establish governance and controls for internal AI agents, defend against external bots and agentic traffic, and track emerging AI regulations
- Partner with Facilities on lab and physical security, and build a security-first culture that favors simple, low-friction access over workarounds
Benefits
- Equity
- Health care
- Flexible time-off
- Paid paternity leave
- 401k retirement plan
- Remote & hybrid working model
- Work with world-leading engineers and researchers
- Happy hours
- Team-building activities
- On-site fitness center
- Free food and snacks
- Peer coaching & development
Experience protecting IP-intensive engineering environments, such as semiconductor, hardware, defense, or other sensitive design and source dataPractical understanding of how LLMs and autonomous AI agents operate, interact with APIs, and handle sensitive dataA pragmatic, startup mindset: rigorous security that does not slow hardware development, customer collaboration, or product shippingBachelor’s degree or equivalent experience3+ years of experience leading security programs or teamsTechnical literacy across corporate IT (RBAC, MDM, SIEM), cloud environments (Kubernetes), and CI/CD security7+ years of experience in information securityExperience securing hybrid, colocation, or on-premises lab infrastructure alongside cloud environmentsDirect experience managing semiconductor or hardware supply chain security, such as foundry/OSAT relationships, secure IP transfer, hardware roots of trust, or anti-counterfeiting measuresActive industry credentials, such as CISSP, CISM, or specialized AI/cloud security certificationsExperience managing compliance audits from initial readiness through SOC 2 Type II or ISO 27001 certification