System Performance Engineer - Server Platform

About the role

About the Team Server platform team is responsible for architecting, designing, and building the best server and storage system to meet the requirements of high-performance, low cost and easy to operate. By joining this team, you will work with the best engineers and talents in this industry and have a broad opportunity to get in touch with the latest AI application system and newly emerged technology in computing , storage and silicon validation. You will gain remarkable hardware architect, development and validation experience in the most advanced hardware infrastructure at a massive scale.

We are looking for a self-motivated Server system Performance Engineer with the following responsibilities: - Build up and optimize server system benchmarks based on deep understanding of server system architect, key part performance matrix, and workload characterization. - Co-work with CPU, memory, IO controller, SSD engineers and vendors to setup the right performance target for the key parts for the server system. Solve performance related issues. - Based on a good understanding of mainstream applications, database, big data, storage, AI computing, profiling, co-work with application team to work out and update the workload profiling system. Work with the application team to solve performance problems and make sure to achieve the best performance on certain hardware. - Co-work with server system architects to evaluate new architect design. - Co-work with cloud vendors, equipment vendors to evaluate the performance of cloud service or newly introduced hardware. - Work with industry consortiums and open standard committees to investigate the emerging technologies or standards, and contribute our research results and visions to the industry. - International travel requirement: up to four times per year, including but not limited to China, Europe, and South Asia. Candidates must have a valid passport and be able to obtain the necessary visas.

Requirements Minimum Qualifications - Master’s degree in Electrical Engineering, Computer Engineering, Computer Science or related majors - Deep understanding of computer system architecture, especially on CPU SoC or Platform Architecture, Interconnect Fabric, and Memory sub-system - Experienced in system performance optimization or software hardware co-design - Understand the implementation of CPU virtualization technology, and distributed system - Demonstrated experience of working collaboratively in cross-functional teams

Preferred Qualifications - 5 years experience in CPU/GPU platform architecture, and/or application performance optimization design or software hardware co-design

See the posting on ByteDance's site