Software Security Compiler Engineer
NVIDIA
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.
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