Description
Graphcore is seeking a Distinguished Engineer, End-to-End Security Architect to define and lead the security architecture for its inference service platform.
The successful candidate will provide technical leadership, drive security requirements, and ensure the platform delivers robust protection, resilience, and trust for customers.
Responsibilities and Duties:
- Own the end-to-end security architecture for the inference service platform
- Define security principles, threat models, trust boundaries, tenant isolation requirements, and architectural standards
- Establish security requirements for deployment environments
- Define platform security requirements across hardware, firmware, and software
- Lead the design of network and service isolation controls
- Own security architecture for authentication, authorisation, and data protection controls
- Establish logging, monitoring, telemetry, incident response, and security assurance requirements
- Partner with engineering and operations teams to implement and validate security requirements
- Assess security posture against customer, contractual, regulatory, and internal requirements
- Support customer security reviews, audits, and penetration testing activities
- Provide technical leadership, architectural guidance, and mentoring
Candidate Profile: Essential:
- Advanced degree in Computer Science, Computer Engineering, Cybersecurity, or related technical discipline
- Significant experience in security architecture, platform security, cloud security, or large-scale service security
- Demonstrated experience defining and owning security architecture for customer-facing platforms
- Deep understanding of threat modelling, zero-trust principles, and secure operations
- Strong knowledge of platform security technologies
- Experience defining security requirements for data centre deployments and operational environments
- Expertise in network security architecture and access control
- Experience with key management, secrets management, and encryption technologies
- Strong understanding of logging, monitoring, incident response, and security operations
- Excellent communication and stakeholder management skills
Desirable:
- Experience securing AI/ML inference platforms or confidential AI workloads
- Experience with trusted execution environments or secure firmware development
- Familiarity with industry security and compliance frameworks
- Knowledge of hardware platform security and high-performance networking
- Experience with supply-chain risk management and secure manufacturing practices
Benefits:
- Comprehensive benefits package
- Flexible working arrangements
- Medical, dental, and vision coverage
- Flexible Spending Accounts (FSAs) and Health Savings Accounts (HSAs)
- Disability and life insurance
- 401(k) retirement plan
- Commuter benefits
- Wellness services and Employee Assistance Programme (EAP)