Senior Systems Software Engineer, Compute Stack Acceleration

NVIDIA

Lead Systems Software Engineer focused on enhancing NVIDIA's compute software stack. Collaborating across teams to optimize performance and integration with modern toolchains.

Posted 7/20/2026full-timeRemote • California, North Carolina, Texas • 🇺🇸 United StatesSenior💰 $184,000 - $356,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in C and C++ development, GCC and LLVM/Clang toolchains, and performance profiling within complex software environments. Proven ability to lead projects, integrate modern workflows, and communicate technical results effectively across teams.

Highest-signal resume keywords

C DevelopmentC++ DevelopmentGCC ToolchainLLVM/Clang ToolchainPerformance Profiling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Code ReviewDebuggingLink-Time OptimizationProfile-Guided OptimizationAutomation Scripting

Soft Skills

Effective CommunicationCross-Team CollaborationProject Leadership

Tools & Technologies

Linux SystemsContinuous IntegrationBuild SystemsSanitizer CoveragePMU Data Analysis

Industry Keywords

Systems Software EngineeringCode QualityRuntime MeasurementSoftware ComponentsTechnical Documentation

Tech Stack

Tools & technologies

Linux

About the role

Key responsibilities & impact

Lead toolchain, build, code-health, and performance-workflow adoption projects across large software components.
Evaluate and deploy supported GCC and LLVM/Clang toolchains, compiler options, linkers, sysroots, and cross-compilation configurations.
Integrate modern toolchains and workflows into complex build systems and continuous-integration environments.
Establish useful Clang diagnostic builds and targeted sanitizer coverage in partnership with component owners.
Evaluate techniques such as link-time optimization, profile-guided optimization, AutoFDO, and BOLT on representative software.
Use profiling, PMU data, flamegraphs, and binary/source analysis to identify actionable performance and code-quality findings.
Build automation, wrappers, validation scripts, dashboards, and migration helpers where they improve adoption and repeatability.
Measure changes in runtime, code size, build time, launch latency, throughput, quality, or engineering velocity.
Drive complex blockers to the appropriate compiler, runtime, library, infrastructure, or component owner.
Document validated approaches as reusable playbooks for other engineering teams.
Communicate technical results and tradeoffs clearly to engineers and leadership.

Requirements

What you’ll need

BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
8+ years of relevant systems software engineering experience.
Strong C and C++ development, debugging, and code-review skills.
Strong Linux systems knowledge and hands-on experience with complex native software stacks.
Practical experience with GCC or LLVM/Clang, linkers, compiler options, and build systems.
Experience working in large, multi-component codebases and CI environments.
Experience with performance profiling, root-cause analysis, and before-and-after validation.
Ability to lead projects with substantial technical and organizational ambiguity.
Excellent written and verbal communication and a record of effective cross-team collaboration.

Benefits

Comp & perks

equity
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