About the Team The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models. Responsibilities 1. Design, develop, and optimize high-performance inference systems for large-scale
Job Details: Job Description: Altera is a leader in FPGA innovation, delivering programmable solutions that power AI, cloud computing, networking, and edge applications. Our compiler and tools teams are at the core of enabling customers to efficiently
Job Description About the Mission GM’s vision of Zero Crashes, Zero Emissions, and Zero Congestion guides everything we do in autonomous and assisted driving. The AV organization is building advanced automated driving technologies, including Level 4–capable
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
Job Description About the Mission GM’s vision of Zero Crashes, Zero Emissions, and Zero Congestion guides everything we do in autonomous and assisted driving. The AV organization is building advanced automated driving technologies, including Level 4–capable
Responsibilities: Develop compiler toolchain to translate deep learning models to revolutionary new hardware Innovative in ways to optimize the speed and efficiency of ML model inference Collaborate with machine learning and hardware teams Requirements: MS or PhD
NVIDIAs GPUs are at the core of modern AI infrastructure, from training large-scale models to running inference in production. That position depends on software as much as hardware, and compiler engineering is a big part of what
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
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
Minimum qualifications: Bachelors degree or equivalent practical experience. 8 years of experience programming in C++ or Python. 5 years of experience testing, and launching software products. 5 years of experience with performance, large-scale systems data analysis,
Edge ML Software Engineer (Model Optimization-PICO) - San Jose San Jose Technology Regular A143350B Responsibilities As a world-renowned VR/AR brand with independent innovation and R&D capabilities, PICO has been at the forefront of the consumer electronic market.
JOB DESCRIPTION About NIO NIO is a pioneer and a leading company in the premium smart electric vehicle market. Founded in November 2014, NIO’s mission is to shape a joyful lifestyle. NIO aims to build a
Join TSMC Technology, Inc. (TTI), an innovation hub of Taiwan Semiconductor Manufacturing Company Limited (TSMC). TSMC has been a pioneer in the semiconductor industry since 1987. With teams located in San Jose, CA, and Austin, TX,
Are you passionate about driving innovation in deep learning and eager to work on cutting-edge AI technology? Join NVIDIAs TensorRT team as a Software Engineer, and be at the forefront of technology, contributing to high-performance AI
Are you looking for a unique opportunity to be a part of something great? Want to join a 17,000-member team that works on the technology that powers the world around us? Looking for an atmosphere of
NVIDIAs high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high-performance linear algebra and Tensor Core primitives. Since
NVIDIA is at the forefront of accelerated computing, AI, and autonomous machines. From generative AI to robotics and self-driving vehicles, our technologies are transforming some of the world’s largest industries. NVIDIA DRIVE is redefining autonomous mobility
DGX Station (Galaxy) is NVIDIA’s workstation-class AI computer—built on GB300 Blackwell GPUs with NVLink interconnect, delivering data-center-grade AI compute in a deskside form factor. DGX Station is shipped to OEM and OSV partners as a complete
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. Experience low-level GPU programming (CUDA, Triton,
Annapurna Labs designs silicon and software that accelerates innovation. Our custom chips, accelerators, and software stacks enable us to tackle unprecedented technical challenges and deliver solutions that help customers change the world. AWS Neuron is the