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
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,
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group CPU Engineering General Summary: RISC-V CPU Compiler Engineer Job Description Are you passionate about maximizing CPU performance and pushing the boundaries of optimization? Join our innovative team and play a
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group GPU ASICS Engineering General Summary: . Minimum Qualifications:• Bachelors degree in Computer Engineering, Computer Science, Electrical Engineering, or related field. Preferred Qualifications: • Masters degree or PhD in
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group Machine Learning Engineering General Summary: About the Role Qualcomm AI Hub is the platform for on-device AI — enabling developers to easily integrate, optimize, and deploy ML models
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
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,
Were looking for outstanding AI systems engineers to develop groundbreaking technologies in the inference systems software stack! We build innovative AI systems software to accelerate for AI inference. As a member of the team, youll develop
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 7 years of experience leading technical project strategy, ML design, and working with ML infrastructure (e.g., model deployment, model evaluation, data
Minimum qualifications: Bachelors degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 10 years of experience in computer architecture, chip architecture, or hardware-software co-design. Experience developing systems for performance
Minimum qualifications: Bachelors degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 12 years of experience in computer architecture, chip architecture, or hardware-software co-design. Experience developing systems for performance modeling,
We optimize and benchmark GenAI inference on NVIDIAs latest accelerators, defining the industry’s performance standards across language models, video generation, and speech workloads. We work directly within TensorRT-LLM, SGLang, and vLLM, building the tools that evaluate