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TensorWave is seeking a Security Engineer Intern in Las Vegas to help build a brand-new Threat Modeling Program from scratch. You will collaborate with teams to secure systems, work on cloud and on-premise environments, and participate in lab testing to uncover vulnerabilities.
The role emphasizes learning, mentorship, and hands-on security practice in a fast-growing AI compute platform. You will develop skills in threat modeling, risk management, audits, and governance while writing simple
Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.
We are looking for a motivated Security Engineer Intern to join our team. You won’t just be watching—you’ll be building. You will work with our teams to protect our systems and help launch a brand-new Threat Modeling Program from scratch.
Threat Modeling: Help us build a "blueprinting" program where we look at a system, figure out how a hacker might break in, and fix it before they ever try.
GRC Assistance: Learn how the "business" side of security works. This includes Risk Management (deciding which problems are the scariest), Audit (proving we are actually following security rules), and Governance (writing the "laws" of the company).
Hybrid Defense: Learn to secure "the Cloud" (internet-based systems) and "On-Premise" (the physical servers and hardware inside our Las Vegas data centers).
Solve Puzzles: Use Critical Thinking to find the root cause of network issues or security holes.
Automation: Write simple code (Bash, Python, PowerShell, etc.) to do your chores for you so you can focus on bigger problems.
Lab Testing: Use "hacker tools" in a safe lab environment to find vulnerabilities (weak spots) and suggest ways to patch them.
Education & Experience: You must meet one of the following Nevada-based criteria:
2 years of hands‑on experience in networking, security, or computer science AND currently enrolled in a Nevada higher education institution or trade school/certification program.
OR at least 2 years of college or trade school in Nevada, completed toward a degree/certificate in Computer Science, Networking, Programming, Cyber, or a similar field.
Self-Starter Attitude: You don't wait to be told what to do; you are motivated to learn new things and have a history of hitting goals you set for yourself.
Tech Basics: You know how computers talk to each other (Networking) and can write a basic script or program.
Hands‑on Experience: You’ve spent time in "Labs"—whether that's network simulators, coding sites, or cybersecurity "capture the flag" platforms.
Teamwork: You know how to work with others, whether that was in sports, a college club, or a leadership role.
Paid internship experience
Founder and leadership speaker sessions
Dedicated mentorship and cross‑functional networking
Industry and market education sessions
Career development workshops (resume review, mock interviews, interview prep)
Team‑building events and intern socials
Lunch & Learns with company leaders
In‑office perks including snacks and beverages
TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.
TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.
All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.
Where permitted by law, employment may be contingent upon the successful completion of a job‑related background check.
By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment‑related purposes in accordance with applicable data privacy laws.