Future Tech Jobs
Future Tech Jobs
At NVIDIA, our employees are passionate about Artificial Intelligence, accelerated computing, and the transformation of industries through software and AI. We are seeking a highly technical and strategic Senior Developer Relations Manager – Manufacturing (EMEA) to engage and grow the...
At NVIDIA, our employees are passionate about Artificial Intelligence, accelerated computing, and the transformation of industries through software and AI. We are seeking a highly technical and strategic Senior Developer Relations Manager – Manufacturing (EMEA) to engage and grow the...
At NVIDIA, our employees are passionate about Artificial Intelligence, accelerated computing, and the transformation of industries through software and AI. We are seeking a highly technical and strategic Senior Developer Relations Manager – Manufacturing (EMEA) to engage and grow the...
At NVIDIA, our employees are passionate about Artificial Intelligence, accelerated computing, and the transformation of industries through software and AI. We are seeking a highly technical and strategic Senior Developer Relations Manager – Manufacturing (EMEA) to engage and grow the...
As a Software Engineer focused on GPU infrastructure, you will play a key role in designing, optimizing, and managing the large-scale AI/ML infrastructure that powers Isomorphic Labs' groundbreaking research. You will collaborate with machine learning experts, biotech researchers, and cross-functional teams to ensure the reliability and efficiency of our AI models and cloud infrastructure.
This role involves deep technical work on GPU compute software, focusing on Vulkan-based optimization across Windows, Linux, and ChromeOS. You'll collaborate with ISVs, open-source communities, and internal teams to enable and enhance GPU workloads on Intel platforms, using low-level programming and performance analysis. The position emphasizes full-cycle development, from prototyping to go-to-market support, with a strong focus on cross-platform software-hardware integration.
This role involves enabling and optimizing GPU compute workloads on Intel platforms, with a focus on Vulkan-based applications across Windows, Linux, and ChromeOS. The engineer will collaborate with ISVs, open-source communities, and internal teams to develop, debug, and optimize software solutions leveraging Intel GPU capabilities. Key responsibilities include performance tuning, technical consultation, and influencing future hardware and software architectures through direct feedback to Intel engineering teams.
This role involves enabling and optimizing GPU compute workloads on Intel platforms using Vulkan across Windows, Linux, and ChromeOS. The engineer will collaborate with ISVs, open-source communities, and internal teams to develop, debug, and optimize software solutions, while providing technical feedback to shape future Intel GPU technologies. The position emphasizes performance tuning, cross-OS development, and ecosystem engagement for client systems including laptops, desktops, and workstations.
This role involves deep technical work on GPU compute software, focusing on Vulkan-based optimization across Windows, Linux, and ChromeOS. You'll collaborate with ISVs, open-source communities, and internal teams to enable and optimize workloads on Intel GPUs, covering areas like AI/ML, media, and productivity applications. The position emphasizes low-level programming, performance tuning, and influencing future Intel GPU architecture through hands-on software development and partner engagement.
This role involves developing and optimizing GPU compute software using Vulkan across Windows, Linux, and ChromeOS to ensure high-performance execution on Intel client platforms. The engineer will collaborate with ISVs, open-source communities, and internal teams to enable and enhance GPU workloads in areas like AI/ML, media, and productivity applications. Responsibilities span full lifecycle development, performance tuning, technical consultation, and influencing future Intel GPU architecture through direct feedback.
This role involves deep technical work on hardware-accelerated video processing, focusing on optimizing and contributing to open-source media projects like FFmpeg and HandBrake. The engineer will collaborate with open-source communities, ISVs, and internal Intel teams to enhance media performance on Intel platforms using technologies like Intel® Quick Sync Video and oneVPL. The position emphasizes upstream contributions, performance analysis, and integration of advanced codecs and AI-enhanced media workflows.
This role involves deep technical work on hardware-accelerated video processing using Intel's GPU and media technologies. You'll contribute directly to open-source projects like FFmpeg and HandBrake, optimize media pipelines for Intel Quick Sync Video, and collaborate with internal teams and external partners to improve performance and adoption. The position emphasizes low-level media software development, performance analysis, and leadership within the open-source media ecosystem.
This role involves optimizing and advancing hardware-accelerated video technologies on Intel's GPU architectures, with a strong focus on open-source media ecosystems like FFmpeg and HandBrake. You'll develop, debug, and upstream software enhancements while working closely with open-source communities, ISVs, and internal Intel teams to improve media performance across client and workstation platforms. The role emphasizes deep technical work with modern codecs, video acceleration APIs, and AI-enhanced media pipelines, combining software engineering with architectural influence.
This role involves deep software engineering work on GPU-accelerated video technologies, focusing on optimizing and upstreaming contributions to open-source media projects like FFmpeg and HandBrake. The engineer will collaborate with open-source communities, ISVs, and internal teams to enhance Intel's media capabilities across codecs such as AV1, HEVC, and VP9 using Intel® Quick Sync Video and oneVPL. Key responsibilities include performance analysis, debugging, and influencing hardware-software co-design for next-generation media solutions on Intel platforms.
This role involves deep technical work on optimizing open-source media software such as FFmpeg and HandBrake for Intel's GPU and hardware-accelerated video technologies. You'll develop and upstream code improvements, analyze performance across codecs like AV1 and HEVC, and collaborate closely with open-source communities and Intel engineering teams. The position emphasizes hands-on contributions to media pipelines using Intel® Quick Sync Video and oneVPL, with a focus on real-world applications in transcoding, streaming, and AI-enhanced video workflows.
