硬件解决方案架构及应用优化工程师（GPU/FPGA方向）-Data（深圳）
Core
Define hardware support roadmaps for heterogeneous GPU/FPGA applications on cloud platforms, design and execute performance testing to identify bottlenecks, and develop optimized hardware solutions.
Role type
Senior IC hardware solutions architect and performance optimization engineer (GPU/FPGA)
Builds
Heterogeneous hardware solutions, performance testing frameworks, and cross-platform compute standardization schemes
Domain
Cloud computing, high-performance computing, heterogeneous hardware (GPU/FPGA)
Deliverable
production ML models
Required skills
Heterogeneous hardware architecture (GPU/FPGA), performance testing and benchmarking, Linux system administration, kernel and virtualization internals, DPDK, system bottleneck analysis, script development for metrics collection
Preferred skills
Experience with high-concurrency online stress testing, cloud product components (compute/storage/database), server hardware components (processors, NICs, SAS cards), industry-standard benchmark tools (SpecCPU/Fio/Iperf/Stream/Mlc/Lmbench)
Technologies
Linux, DPDK, GPU, FPGA, Speccpu, Fio, Iperf, Stream, Mlc, Lmbench
Responsibilities
Develop hardware support roadmaps aligned with application iteration plans; design and execute performance tests to analyze system bottlenecks; build performance analysis tool systems and best practices; evaluate hardware cost-performance and output cross-platform compute conversion schemes; monitor cloud hardware quality and provide technical support; produce self-developed hardware product documentation
Seniority
Senior, hands-on IC with strategic planning
