Top C++ Jobs

As an Embedded Software Engineer, you will develop high-performance software for embedded systems, focusing on device drivers, real-time applications, and complex software integrations. Collaborate closely with hardware engineers to optimize performance across various platforms, troubleshoot system issues, and enhance embedded solutions.

The Software Engineer on the Developer Platform team at Glydways will maintain and enhance developer workflows, collaborate on improvements to the CI system, develop automation tools, design monitoring services, and assist in migrating the build system to Bazel.

The Senior Hypervisor and RTOS Engineer will design and implement core features for hypervisors on NVIDIA Tegra SOCs, focusing on performance optimization and adherence to automotive safety standards. Responsibilities include developing virtualization software and applying formal methods to ensure software integrity, contributing to advancements in AI systems for autonomous vehicles.

In this role, you'll innovate and architect low power solutions for GPUs, collaborating cross-functionally to enhance energy efficiency across platforms. Responsibilities include designing and verifying features for improved battery life, contributing to power performance modeling, and engaging in architectural studies and tradeoff analyses.

As a Senior Networking Architect, you will lead the research and development of next-gen networking solutions in accelerated data centers, collaborating with various teams to innovate in AI networking. Your role will involve complex design, problem-solving, and implementing networking protocols.

As a Senior Hardware SoC Architect, you will collaborate with various teams to define and refine fuse and repair architectures, ensuring compliance with product requirements. Your role will include documentation, review of specifications, and development of architectural C-models aimed at enhancing team efficiency and output quality. You will leverage your extensive knowledge in chip initialization and ASIC flows to contribute to next-generation SoC designs.

The Senior High-Performance LLM Training Engineer will optimize LLM training workloads, analyze performance across GPU architectures, implement production-quality software, and help shape NVIDIA’s hardware roadmaps. Responsibilities include profiling AI training workloads, contributing to MLPerf benchmarks, and creating automation tools for workload analysis and optimization.

The Senior Software Engineer will develop and support NVIDIA's GPU administration tools, focusing on system and device monitoring for NVIDIA Tegra platforms. Responsibilities include coding and maintaining software for Compute GPU products on Windows and Linux, collaborating with cross-functional teams, and driving development efforts for new features and improvements.