Security Engineering Intern, Modular
$100-130k
More information about location
2 days a week in office (Los Altos, CA)
Fast, scalable Gen AI inference platform
Job no longer available
Fast, scalable Gen AI inference platform
201-500 employees
Job no longer available
$100-130k
More information about location
2 days a week in office (Los Altos, CA)
201-500 employees
Company mission
To have real, positive impact in the world by reinventing the way AI technology is developed and deployed into production with a next-generation developer platform.
Role
Who you are
- Currently pursuing a Bachelor's, Master's, or PhD degree with graduation expected by Spring 2027 at the latest
- Experience with C++ or Python
- You have strong written and verbal communication skills, including the ability to translate security requirements into developer-friendly guidance
- You are detail-oriented and able to adapt to a fast-paced environment
- You have a strong demonstrated interest in AI developer tools and practical security for real engineering workflows
- You can demonstrate creativity and curiosity for solving complex problems, a team-oriented attitude that enables you to work well with others, and alignment with our culture
- For candidates who fall outside of the listed requirements, we nevertheless encourage you to apply as we may have openings that are lower/higher level than the ones advertised
What the job involves
- As an intern on the Security team, you will help enable Modular engineers to use AI tools and AI-assisted coding tools safely and effectively
- Your work will focus on building guardrails, integrations, and internal security tooling so teams can move faster with AI without exposing sensitive data, introducing supply chain risk, or weakening access controls
- You will work on projects such as:
- Implementing secure integrations for AI coding tools (IDEs, code review assistants, chat tools) that protect proprietary code and sensitive data
- Building policies and technical controls around what data can be sent to AI systems, with practical enforcement (for example: redaction, allowlists, auditing, approvals)
- Creating automation and workflows that make secure AI usage easy for developers (for example: secure-by-default configurations, self-serve access requests, logging and monitoring)
- Partnering with Platform Engineering to integrate these controls into developer tooling, CI/CD, and internal platforms so adoption is smooth and scalable
- Defining and tracking metrics for adoption, safety, and effectiveness (for example: usage with guardrails enabled, policy violations caught, time-to-approve access, incident trends)
- To support growth and collaboration, all interns will work in a hybrid capacity at our Los Altos, CA office (minimum 2 days per week on-site) with relocation assistance provided for out-of-state candidates
- What You Will Learn:
- How security teams build enablement programs that scale across many engineers without slowing development down
- How to design guardrails for AI and AI-assisted coding that balance usability, privacy, and risk
- How to measure whether security controls are working using clear signals and feedback loops
Our take
AI development is booming, but the tools behind it? Not so much. Developers are often stuck dealing with messy, disconnected systems that slow everything down and bump up costs.
To address this, Modular has developed a unified AI platform that streamlines the development process. It's AI Engine enhances the performance of models on CPUs and GPUs, supporting popular frameworks like TensorFlow and PyTorch. And on top of that, it's built Mojo, a programming language that's as easy as Python but much faster (35,000 times faster).
In 2023, the company raised an impressive $100M to power its mission. It's been using this funding to grow its team, support more hardware, and push Mojo even further. With the hopes of making AI development faster, smoother, and a whole lot more fun for everyone.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Sep 2025
$250m
LATE VC
Aug 2023
$100m
LATE VC
Total funding: $380m
Company benefits
- A variety of fantastic health benefits (health, dental, vision insurance; life insurance etc) are available
- A 401k plan with up to 5% match
- Free tax advice on Carta
- Generous work-from-home stipend of $1500 to help you improve your home office
- Unlimited paid time off and flexible work hours
Leadership
Chris Lattner
(Co-Founder & CEO)Founder, Architect, Engineer and BDFL for the LLVM Organization. Former President of Engineering and Product at SiFive, as well as working in various roles at Google, Tesla, and Apple.
Tim Davis
(Co-Founder & President)Worked at Google for 5 years, ultimately as Group Product Lead for Google ML. Previously founded Fluc Inc, where they developed the entire ML powered delivery system with their co-founder, and mapping software system CrowdSend.
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