Referso Jobs

客户解决方案架构师，高性能计算，Google Cloud

Google · Posted Nov 6, 2026

Google · Posted Nov 6, 2026

Google · Posted Nov 4, 2026

Lead technical and business advisory for Google Cloud customers, designing and implementing high performance computing solutions.

Build partner specific, go-to-market solutions to reduce business cycles and drive partner business as measured through pipeline and business growth.
Build trusted advisory relationships and make recommendations on integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution providing best practice advice to customers to optimize Google Cloud effectiveness.
Identify customer priorities, technical objections, and design strategies encompassing the entire Google ecosystem to deliver business value and resolve blockers.
Conduct in-depth performance profiling and optimization of customer models and data pipelines specifically for the high performance computing accelerator hardware architecture, identifying and resolving bottlenecks.

Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
Nice to have: HPC environments
Nice to have: open-source infrastructure projects
Nice to have: lower-level performance tools
Nice to have: optimization techniques

Huawei Technologies Canada Co., Ltd. · Posted Nov 3, 2026

Lead development of high-performance compute operators and distributed training systems for large foundation models on Huawei Ascend NPUs.

The total target annual compensation ranges from $127,000 to $225,000 depending on education, experience, and demonstrated expertise.

Design, implement, and tune core operators using AscendC, Triton, and TileLang
Architect, scale, and optimize distributed pre‑training and post‑training pipelines using MindSpeed and upstream frameworks
Tune multi‑dimensional hybrid parallelism and RL rollout pipelines on Ascend NPU clusters
Conduct deep performance profiling on Ascend hardware to eliminate bottlenecks
Contribute high‑performance operators and acceleration features to open‑source Ascend communities

Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related technical disciplines
Nice to have: Experience porting Triton or TileLang to non‑CUDA accelerators
Nice to have: Deep understanding of Ascend NPU microarchitecture
Nice to have: Low‑precision numerical alignment expertise
Nice to have: Open‑source contributions to Ascend or upstream projects