Senior GPU System Software Engineer NVIDIA

5.0 - 9.0 years

0 Lacs

karnataka

On-site

As a creative and highly motivated engineer with expertise in system software, you will be joining the Tegra System Software organization at NVIDIA. This exciting opportunity will allow you to make a real impact in a dynamic, technology-focused company that influences product lines spanning from consumer graphics to self-driving cars and the rapidly growing field of artificial intelligence. Your responsibilities will include supporting the development of firmware (bare metal/RTOS) that runs on embedded microcontrollers within NVIDIA GPUs. You will collaborate with hardware and software teams to design new features and provide guidance for future development. Additionally, you will optimize software to enhance system robustness, performance, and security, as well as participate in testing new and existing firmware. System bring-up, debugging, validation, and ensuring compliance with functional safety standards such as ISO 26262 and ASPICE are also crucial aspects of this role. To be successful in this position, you should possess a BS/BE/Btech or MS/ME/Mtech degree in Electronics/Computer Engineering, Computer Science, or a related field (or equivalent experience). A minimum of 5 years of relevant software development experience is required, along with proficiency in C programming and low-level driver development. An understanding of OS concepts, various scheduling algorithms, software development life-cycle, computer system architecture, microprocessors, and microcontroller fundamentals is essential. Familiarity with general hardware concepts, strong debugging and analytical skills, and the ability to collaborate effectively with both on-site and remote teams are also key requirements. To distinguish yourself, previous experience in firmware development for GPUs, knowledge of GPU software kernel driver and firmware, and experience in Pre-Silicon/Post-Silicon bring-up of complex SoCs are advantageous. Designing simple systems that work reliably with minimal support, software development experience in accordance with ISO26262, ASPICE, or similar standards are additional ways to stand out in this role. At NVIDIA, we are renowned as one of the most desirable employers in the technology industry, attracting some of the brightest and most dedicated professionals worldwide. If you consider yourself clever, creative, and driven, we welcome you to join our team and contribute to our innovative projects.,

Posted 3 days ago

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Compiler Manager, Silicon Google

8.0 - 12.0 years

0 Lacs

karnataka

On-site

You should have a Bachelor's degree in Computer Science, Electrical Engineering or equivalent practical experience, along with 8 years of experience with compilers (e.g., optimization, parallelization, etc.) and familiarity with Multi-Level Intermediate Representation (MLIR) or Low Level Virtual Machines (LLVM). A Master's degree or PhD in Computer Science or a related field would be preferred. It would be advantageous to have experience in compiling for architectures across Internet protocols (IPs) like Central Processing Unit (CPU), Graphics Processing Unit (GPU), and Neural Processing Unit (NPUs), as well as experience in executing programs or several projects. Additionally, experience with compiler development for accelerator-based architectures is desired. As a software engineer at Google, you will be working on cutting-edge technologies that impact billions of users worldwide. The projects you work on will involve handling massive amounts of information beyond web search and will require expertise in information retrieval, distributed computing, system design, networking, security, artificial intelligence, and more. Versatility, leadership qualities, and a passion for tackling new challenges are essential qualities for this role. The compiler team at Google is responsible for analyzing, optimizing, and compiling machine learning models to further Google's mission of organizing information and making it universally accessible and useful. Combining AI, software, and hardware expertise, the team aims to create innovative technologies that enhance computing speed, seamlessness, and power to improve people's lives. As part of the Edge Tensor Processing Unit (TPU) compiler team, your responsibilities will include analyzing and enhancing compiler quality and performance, developing algorithms for optimization, parallelization, and scheduling to optimize compute and data movement costs for Machine Learning (ML) workloads on the Edge TPU, collaborating with Edge TPU architects on designing future accelerators and hardware/software interface, mapping AI models and other workloads into Edge TPU instructions through the compiler, and managing a team of compiler engineers.,

Posted 1 week ago

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