NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Embark on an outstanding journey with NVIDIA, where your ambition will drive the future of AI computing and security! Seeking a Software Security Compiler Engineer! NVIDIA's GPU invention in 1999 revolutionized computer graphics and parallel computing.
What you'll be doing:
Understand, modify, and improve GCC, LLVM, and NVIDIA proprietary compilers with respect to code hardening and security.
Address vulnerabilities by crafting countermeasures and implementing industry-standard solutions.
Review, coordinate, and implement security measures.
Analyze source and assembly code for vulnerabilities.
Be part of a team at the forefront of deep-learning compiler technology spanning architecture design and support through functional languages.
Collaborate with global compiler, hardware, and application teams to coordinate improvements and resolve issues.
What we need to see:
8+ Years of experience with bachelor's or master's degree in Computer Science/Engineering or equivalent experience.
Proficiency in software security and code hardening techniques.
Expertise in designing and scaling distributed systems.
Proficiency in programming with Python, TypeScript, and React.js for backend and frontend development.
Experience with relational and NoSQL databases, including PostgreSQL and MongoDB, as well as in-memory caching systems like Redis.
Hands-on knowledge of containerization and orchestration using Docker and Kubernetes.
Solid compiler knowledge and experience.
Experience in a collaborative engineering development environment.
Strong communication and documentation skills, self-motivated.
Ways to stand out from the crowd:
Background in fine-tuning LLMs for security testing, enabling automated vulnerability detection, adversarial evaluation through specialized model adaptation and domain-specific datasets.
Experience in implementing offensive testing techniques to evaluate and bypass compiler mitigations using both traditional and LLM-driven security methodologies.
Proficiency in automating security testing workflows with Python, TypeScript, and React.js for backend and frontend development.
Experience with relational and NoSQL databases, including PostgreSQL and MongoDB, as well as in-memory caching systems like Redis.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our diverse team of dedicated, capable, and professional people is our greatest asset! If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
Skills Required
- 8+ years of experience with a bachelor's or master's degree in Computer Science/Engineering or equivalent experience
- Proficiency in software security and code hardening techniques
- Solid compiler knowledge and experience (GCC, LLVM, compiler internals)
- Experience analyzing source and assembly code for vulnerabilities
- Expertise in designing and scaling distributed systems
- Proficiency in Python, TypeScript, and React.js
- Experience with PostgreSQL and MongoDB (relational and NoSQL databases)
- Experience with in-memory caching systems such as Redis
- Hands-on knowledge of Docker and Kubernetes (containerization and orchestration)
- Experience working in a collaborative engineering development environment
- Strong communication and documentation skills; self-motivated
- Background in fine-tuning LLMs for security testing
- Experience implementing offensive testing techniques to evaluate and bypass compiler mitigations
- Experience automating security testing workflows
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
