- Experience building applications with large language models and agent frameworks, including tool use and output evaluation.
- Experience with containers and Kubernetes.
- Experience with sandboxing and isolation, or securing systems that execute untrusted code.
- Experience with static or program analysis, such as writing Semgrep or CodeQL rules.
- Experience in vulnerability research, penetration testing, or exploit development.
- Familiarity with AI security risks and controls, such as the Open Worldwide Application Security Project (OWASP) Top 10 for LLM Applications.
- Public examples of shipped work, such as open-source contributions, published tools, or technical write-ups.


GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

This role is categorized as hybrid.
This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

Relocation benefits are available for candidates who qualify under company policy.

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