ai-assisted-engineering jobs in San Diego

AMD is seeking an AI Systems Security Architect to drive system-wide threat modeling and security analysis across hardware, firmware, and software platforms. The role involves designing secure debug architectures, writing platform security specifications, and leveraging AI-assisted engineering tooling to accelerate security analysis.…See more The ideal candidate has deep expertise in computer architecture, confidential computing, root of trust, boot chain architecture, firmware security, cryptography, and threat modeling at platform scope, with proficiency in C/C++ and experience securing AI/ML workloads at datacenter scale.

Chief AI Subject Matter Expert leading the development of intelligent data processing pipelines, NLP systems, and AI-enabled dashboards for defense applications. The role requires 15+ years of experience with generative AI, LLMs, and agent-based development workflows, including hands-on use of tools like GitHub Copilot and Claude for code generation and automation.…See more Responsibilities include prototyping emerging AI tooling, mentoring engineering teams on AI integration, designing secure production AI solutions, and identifying opportunities to accelerate the software lifecycle through AI and automation. Must demonstrate expertise in LLM APIs, RAG architectures, vector databases, prompt engineering, and AI-specific security considerations in classified/sensitive environments.

This role involves implementing, validating, and securing AI platform security features across AMD's hardware, firmware, and software stack. You will conduct security assessments, develop and verify security fixes, manage cryptographic keys and device identities, and provision secure boot and attestation mechanisms.…See more The position requires hands-on experience securing systems across hardware-firmware-software integration, proficiency in C/C++ and scripting, and familiarity with GPU/accelerator platforms, confidential computing, and trusted execution environments. You will partner with architecture, firmware, and software teams to resolve security issues and apply AI-assisted tooling to accelerate remediation and testing.