Job Description
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technology-and amazing people. Today, were 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 whats never been done before takes vision, innovation, and the worlds best talent. As an NVIDIAN, youll 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! NVIDIAs GPU invention in 1999 revolutionized computer graphics and parallel computing.
What youll 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 bachelors or masters 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.
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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 worlds most desirable employers. Our diverse team of dedicated, capable, and professional people is our greatest asset! If youre a creative and autonomous engineer with a real passion for technology, we want to hear from you!
Skills
Architecture DesignPythonDistributed SystemsKubernetesNosql DatabasesTestingReactIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Nvidia, a global giant in the technology sector, is at the forefront of artificial intelligence (AI), graphics processing units (GPUs), and gaming technologies. With a focus on creating interactive graphics on laptops, workstations, mobile devices, notebooks, PCs, and more, Nvidia careers offer an unparalleled opportunity to be part of cutting-edge innovations that shape the future. Nvidia fosters a culture of creativity, innovation, and diversity, inviting professionals to contribute to groundbreaking projects in AI, computer graphics, hardware engineering, and software development. Joining Nvidia means becoming part of a team dedicated to pushing the boundaries of what's possible, making significant impacts in technology and beyond.
Important dates & deadlines?
Application Deadline
15 Nov 26, 04:18 PM IST
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