10 hours ago
Responsibilities
- Design, develop, and deploy AI-based solutions for software security scanning, analysis, and vulnerability detection.
- Build scalable systems and pipelines that analyze large source-code repositories, binaries, dependencies, artifacts, codebases, and software portfolios.
- Integrate AI capabilities with Coverity, CodeQL, Black Duck Binary Analysis, static analysis, semantic code analysis, vulnerability databases, and other security signals.
- Identify and analyze CVEs, CWEs, insecure coding practices, vulnerability patterns, attack surfaces, and other software security risks while reducing false positives and false negatives.
- Develop proprietary security analysis technologies and intellectual property beyond conventional rule-based scanning.
- Debug complex security-analysis problems, investigate root causes, and collaborate with engineering, security research, architecture, and product teams.
- Mentor engineers, contribute to architecture and design decisions, and establish best practices across AI and software security engineering.
Requirements
- Multiple years of professional software engineering experience, including work with large codebases and large engineering organizations.
- Extensive knowledge of software security best practices, secure software development, vulnerability analysis, software security architectures, CVEs, CWEs, CVSS, vulnerability databases, and common vulnerability classes.
- Experience with security scanning, static or dynamic analysis, taint analysis, code property graphs, symbolic execution, fuzzing, reverse engineering, binary analysis, vulnerability research, IP protection, anti-tampering, or related technologies.
- Experience with tools such as Coverity, CodeQL, Black Duck Binary Analysis, Semgrep, or comparable security platforms.
- Experience applying AI/ML, LLMs, generative AI, code intelligence, embeddings, RAG, AI agents, or automated reasoning to software engineering or cybersecurity problems.
- Strong programming skills in one or more of C/C++, Python, Java, C#, JavaScript/TypeScript, Go, Rust, or similar languages.
- Understanding of software architecture, algorithms, data structures, distributed systems, large-scale software development, repositories, dependency graphs, build systems, CI/CD pipelines, and enterprise software environments.
- Experience taking technical concepts from research or prototype through production implementation.
- Strong communication, collaboration, analytical, and problem-solving skills.
- Bachelor’s or master’s degree in Software Engineering, Computer Science, Computer Engineering, or a related discipline is preferred.
Tech Stack
Categories
About AMD
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_