NVIDIA end-to-end network management solutions enable monitoring, management, analytics and visibility. Backed by Sequoia.
About the role
We are looking for an experienced systems software engineer who can lead cross-stack engineering efforts from an ambiguous adoption problem to a measurable outcome. You will work closely with compiler, platform, performance, library, and application teams to validate new capabilities, resolve integration blockers, produce credible before-and-after evidence, and turn successful approaches into reusable engineering practices.
More about this role
NVIDIA is growing a senior engineering team focused on making our compute software stack first-class on NVIDIA CPU platforms. The team turns modern toolchains, build and code-health practices, performance-analysis workflows, and optimization techniques into repeatable improvements across real software components.
We are looking for an experienced systems software engineer who can lead cross-stack engineering efforts from an ambiguous adoption problem to a measurable outcome. You will work closely with compiler, platform, performance, library, and application teams to validate new capabilities, resolve integration blockers, produce credible before-and-after evidence, and turn successful approaches into reusable engineering practices. Depending on your background and project needs, your initial work may emphasize toolchain, build, and code-health adoption or profiling, optimization, and evidence-routing workflows. The role is intentionally broad enough to evolve as the team identifies the highest-leverage opportunities across the stack.
Lead toolchain, build, code-health, and performance-workflow adoption projects across large software components.
Evaluate and deploy supported GCC...
Browse similar: Startup jobs