NVIDIA Hiring Interns | Compiler Optimization Engineer Intern – 2024 | Opportunity for All

NVIDIA Hiring Interns

NVIDIA Hiring Interns | Compiler Optimization Engineer Intern – 2024 | Opportunity for All

About the Company

NVIDIA Corporation, founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem, is a prominent American technology company renowned for its pioneering contributions to the graphics processing unit (GPU) industry. In the early 2000s, NVIDIA established itself as a leading player in the world of graphics cards and GPUs, with its GeForce series gaining widespread popularity among gamers and professionals alike.

Throughout the 2000s, NVIDIA continued to innovate and expand its product offerings. It introduced CUDA (Compute Unified Device Architecture), a parallel computing platform, in 2007, opening up GPUs for a wide range of scientific and computational tasks beyond graphics rendering. This move revolutionized fields such as artificial intelligence, deep learning, and scientific simulations.

In 2008, NVIDIA launched its Tesla brand, targeting high-performance computing and data center applications. This marked the company’s foray into the burgeoning field of AI and accelerated computing, positioning NVIDIA as a key player in the development of AI technologies.

The company’s advancements in GPU technology and its contributions to the AI and gaming industries have cemented NVIDIA’s position as a global technology leader. By 2021, it had become a central player in AI, autonomous vehicles, and gaming, making it a household name for tech enthusiasts and professionals alike.

Job Description

Over the span of twenty years, NVIDIA has been at the forefront of revolutionizing visual computing, a dynamic fusion of both artistic creativity and scientific precision in the realm of computer graphics. Our groundbreaking introduction of the GPU, which stands as the powerhouse behind contemporary visual computing, has catalyzed a profound expansion of this field. It now transcends the boundaries of video games, extending its influence to diverse domains such as cinematic production, industrial product design, precise medical diagnosis, and groundbreaking scientific research.

In the present day, the role of visual computing is rapidly evolving, assuming an increasingly central role in how individuals interact with technology. It’s a paradigm shift where technology ceases to be a mere tool and becomes a seamless extension of human experience. This transformation presents an unprecedented opportunity for you to join our dynamic team.

At this juncture, NVIDIA stands as a pioneering force, driving the convergence of technology and creativity. Whether you’re passionate about crafting immersive gaming experiences, advancing the frontiers of cinematic storytelling, designing innovative products, enhancing healthcare diagnostics, or pushing the boundaries of scientific discovery, our team is at the heart of this transformative journey.

Join us now, as we continue to shape the future of visual computing and embark on a thrilling adventure at the intersection of technology and human imagination.

Roles and Responsibilities

  • Identify opportunities for performance improvements in the LLVM-based compiler middle end optimizer: In this role, you will be tasked with meticulously examining the LLVM-based compiler’s middle-end optimizer. Your primary objective will be to pinpoint areas where performance enhancements can be made. This involves scrutinizing the existing codebase, profiling compiler behavior, and identifying bottlenecks or inefficiencies. Your findings will lay the foundation for optimizing compilation processes, resulting in faster and more efficient code generation.
  • Design and develop new compiler analysis passes and optimizations: As a key contributor to the compiler team, you will have the exciting opportunity to design and implement novel compiler analysis passes and optimizations. This role demands creativity and technical expertise to devise innovative solutions that can elevate the compiler’s capabilities. You’ll work closely with a team of experts to ensure these new components integrate seamlessly into the existing compiler infrastructure, enhancing code quality and execution speed.
  • Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through higher-level languages: Joining this team places you at the epicenter of cutting-edge deep-learning compiler technology. You’ll be involved in a multidisciplinary effort that spans the entire spectrum, from architecting compiler support for specialized hardware accelerators to optimizing high-level languages commonly used in deep learning frameworks. This role offers a unique opportunity to contribute to the development of technologies that power the next generation of AI and machine learning applications. Your work will bridge the gap between hardware, software, and deep learning, shaping the future of this rapidly evolving field.

Requirements / Qualifications

  • Pursuing a B.S, M.S or Ph.D. in Computer Science, Computer Engineering, or related fields: This requirement underscores the need for candidates with a strong educational foundation in computer science or a related discipline. It implies that applicants should have a solid theoretical grounding in the subject matter and are either pursuing or have obtained degrees at various levels, aligning with the position’s academic prerequisites.
  • Background in Compiler Optimizations such as Loop Optimizations, Inter-procedural optimizations, and Global optimizations: Candidates are expected to possess a deep understanding of compiler optimizations. This includes knowledge of techniques for improving code performance, such as loop optimizations (e.g., loop unrolling) and inter-procedural optimizations (e.g., inlining functions across different procedures). Global optimizations involve the analysis and transformation of code at a higher level. Candidates should be well-versed in these areas.
  • Excellent hands-on C++ programming skills: Proficiency in C++ programming is crucial for compiler development, given that LLVM and Clang are primarily implemented in C++. Candidates should be adept at writing efficient and maintainable C++ code to contribute effectively to compiler projects.
  • LLVM and/or Clang compiler development experience: Previous experience with LLVM and/or Clang demonstrates a candidate’s familiarity with the specific toolchain relevant to the job. It indicates that the candidate has likely worked on real-world compiler projects or has a practical understanding of these widely used compiler frameworks.
  • Understanding of any Processor ISA (GPU ISA would be a plus): Knowledge of Instruction Set Architectures (ISAs), especially for processors, is valuable. Familiarity with GPU ISAs is an added advantage, as it aligns well with the growing importance of GPUs in modern computing, particularly in fields like deep learning and parallel processing.
  • Good communication and documentation skills and self-motivated: Effective communication and documentation are essential for collaboration within a development team. Self-motivation implies the ability to work independently, take initiative, and drive projects forward, which is often crucial in research and development roles within the field of compiler optimization.

Don’t miss out on the chance to launch your engineering career with NVIDIA. This offers a gateway to a dynamic internship and the opportunity to learn from industry leaders. Apply today by clicking the “Apply Now” button below!

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