Lead the technical strategy for offensive security across TP‑Link’s embedded product portfolio, conducting advanced penetration tests, vulnerability research, and tool development.
Compensation
Salary Range: $220,000-$230,000
Responsibilities
Define and execute enterprise technical strategy for penetration testing of embedded devices and IoT ecosystems
Lead complex, high‑risk penetration tests and architecture‑level security assessments
Conduct vulnerability research, develop proof‑of‑concept exploits, and analyze root causes
Establish threat‑modeling practices and advise on secure design decisions
Architect and develop custom security tools, fuzzing harnesses, and automated testing platforms
Requirements
Bachelor's degree in computer science, Computer Engineering, Electrical Engineering, Information Security, or related field
Senior Security Researcher to join a specialized Red Team focusing on the complex boundary where hardware meets software. Hunting for vulnerabilities in microarchitecture, memory management, and execution pipelines of modern CPUs and GPUs, as well as low-level code.
Responsibilities
Hunt for vulnerabilities in the microarchitecture, memory management, and execution pipelines of modern CPUs and GPUs
Analyze low-level code which runs on CPUs and GPUs
Bridge the gap between hardware primitives and kernel-level exploits
Uncover side-channels or architectural logic flaws
Serve as a technical contributor to the reverse engineering of wireless and embedded systems, identifying vulnerabilities and assessing their security impact.
Develop proof-of-concept exploits for discovered vulnerabilities following DevOps best practices for keeping codebases organized and maintainable.
Analyze firmware, software protections, and wireless protocols to uncover security flaws.
Utilize and develop custom tools to analyze and manipulate software/firmware binaries.
Collaborate closely with CNO developers, vulnerability researchers, and hardware engineers in a fast-paced, small-team environment.
Design, develop, document, and test custom hardware- and software-based Computer Network Operations (CNO) capabilities and tools, with an emphasis on embedded and resource-constrained systems.
Compensation
The projected compensation range for this position is $165,900.00-$295,300.00.
Responsibilities
Design, develop, document, and test custom hardware- and software-based CNO capabilities and tools
Reverse engineer complex hardware, firmware, and software systems to understand functionality and identify vulnerabilities
Conduct in-depth vulnerability research and engineer operational exploits against diverse targets and architectures
Work directly with mission stakeholders to collaborate, design, and validate capabilities against operational requirements
Apply knowledge of core network and security concepts to guide capability architecture and deployment
Security Engineer focused on offensive security for Rogo’s AI-driven platform, APIs, and cloud infrastructure.
Responsibilities
Conduct hands‑on penetration testing and red team assessments against Rogo's applications, APIs, AI/ML pipelines, and cloud environments on a continuous basis
Build agentic security tooling that finds, validates, and patches vulnerabilities end‑to‑end
Develop and maintain custom offensive tooling, exploit chains, and attack simulations tailored to Rogo's AI platform and architecture
Build and operate automated security testing and remediation pipelines that scale offensive coverage without linearly scaling headcount
Perform deep adversarial testing of AI‑specific attack surfaces: prompt injection, model manipulation, data poisoning vectors, agent‑based workflows, and tenant isolation boundaries
As a GenAI Security Researcher, you will attack the most capable generative AI models in the world before anyone else does. You will research frontier LLMs and the agents built on them, find where their safety and security controls break, and turn those findings into attacks, datasets and evaluations that make the next generation of models harder to exploit.
Responsibilities
Conduct hands-on adversarial research on frontier GenAI models (text, code, multimodal and reasoning models) to uncover novel jailbreaks, prompt-injection vectors, guardrail bypasses and policy-evasion techniques.
Research agentic attack surfaces: tool use, MCP and plugin ecosystems, browsing and computer-use agents, coding agents, and multi-agent pipelines, including indirect prompt injection, data exfiltration and tool misuse.
Assess model capabilities in offensive cyber domains (vulnerability discovery, exploit development, malware, lateral movement) and help evaluate how much real-world uplift a model provides to an attacker.
Translate classic offensive security techniques (privilege escalation, credential abuse, SSRF, injection classes, supply-chain attacks) into attack scenarios against LLM-based systems.
Design and build adversarial datasets, attack taxonomies and evaluation scenarios that are realistic, reproducible and correctly graded.
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