Responsibilities
- Define the architecture and multi-year technical roadmap for GPU system software across driver, runtime, firmware-interface, management, observability, and reliability layers.
- Set technical priorities and standards for accelerator enablement, compatibility, performance, serviceability, and maintainability.
- Own end-to-end integration from architecture and pre-silicon planning through bring-up, qualification, general availability, fleet monitoring, and sustained operation.
- Lead cross-functional execution across silicon, firmware, kernel, compiler, library, machine-learning framework, server, network, storage, validation, and production teams.
- Resolve system-level tradeoffs involving APIs, resource management, memory and interconnect topology, telemetry, recovery, security, and workload performance.
- Contribute hands-on through prototypes, critical-path code, design reviews, performance analysis, and high-severity failure investigations.
- Define release and reliability criteria covering qualification, regressions, fault containment, automated repair, and fleet health.
- Mentor engineers and communicate technical decisions to specialist and executive audiences.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.
- At least 5 years of hands-on experience in GPU, accelerator, kernel, firmware, runtime, or data-center system software.
- Technical leadership experience on complex hardware/software programs and demonstrated success leading a major program from concept through production.
- Deep understanding of accelerator architecture, memory hierarchy, interconnects, operating systems, device management, and production reliability.
- Experience coordinating dependencies and technical decisions across multiple engineering teams and organizational boundaries.
- Strong coding, design-review, performance-analysis, and system-debugging capabilities with continued hands-on contribution.
- Preferred experience with a major GPU computing stack and its kernel driver, runtime, libraries, tooling, and fleet-management interfaces.
- Preferred experience defining platform APIs or hardware/software contracts across multiple accelerator generations.
- Knowledge of distributed accelerator workloads, collective communication, topology-aware placement, and large-scale serviceability.
- Track record of mentoring senior engineers and building alignment amid conflicting priorities, ownership, or technical evidence.
About ByteDance
ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users. We have over 110,000 employees based in more than 30 countries globally. Join us.