Senior Systems Software Engineer, Compute Stack Acceleration

This is a fully remote position, open to applicants in California, +2 more states.

📋 Description

• Oversee the adoption of toolchain, build, code health, and performance workflow projects across extensive software components.

• Assess and implement supported GCC and LLVM/Clang toolchains, compiler options, linkers, sysroots, and configurations for cross-compilation.

• Incorporate contemporary toolchains and workflows into intricate build systems and continuous integration environments.

• Collaborate with component owners to establish valuable Clang diagnostic builds and targeted sanitizer coverage.

• Analyze techniques such as link-time optimization, profile-guided optimization, AutoFDO, and BOLT on representative software.

• Utilize profiling, PMU data, flame graphs, and binary/source analysis to pinpoint actionable insights regarding performance and code quality.

• Develop automation tools, wrappers, validation scripts, dashboards, and migration aids to enhance adoption and repeatability.

• Assess variations in runtime, code size, build time, launch latency, throughput, quality, or engineering velocity.

• Address complex issues by directing them to the relevant compiler, runtime, library, infrastructure, or component owner.

• Document validated methodologies as reusable playbooks for other engineering teams.

• Clearly communicate technical outcomes and trade-offs to engineers and leadership.

⛳️ Requirements

• BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.

• Over 8 years of relevant experience in systems software engineering.

• Proficient in C and C++ development, debugging, and code review.

• Strong knowledge of Linux systems with hands-on experience in complex native software stacks.

• Practical experience with GCC or LLVM/Clang, linkers, compiler options, and build systems.

• Experience working within large, multi-component codebases and CI environments.

• Background in performance profiling, root-cause analysis, and before-and-after validation.

• Capability to lead projects amid significant technical and organizational uncertainty.

• Outstanding written and verbal communication skills along with a history of effective collaboration across teams.

🏝️ Benefits

• Equity

• Benefits