{"id":3767785,"url":"https://alion.io/job/google-customer-solution-architect-high-performance-computing-google-cloud","title":"Customer Solution Architect, High Performance Computing, Google Cloud","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":79,"open_postings":137,"ghost_share":0.044,"stale_share":0.693,"repost_share":0.044,"time_to_fill_p50_days":30,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Shanghai, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GCP","optional":false},{"name":"HPC","optional":false},{"name":"JAX","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"TPU","optional":true},{"name":"XLA","optional":true}],"status":"live","first_seen_at":"2026-11-04T11:10:13Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-06T21:17:37Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About the job\nWhen leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.\nAs a Customer Engineer, you will be a part of the customer developing organization for Google Cloud. You will lead cross-functional teams to help customers design, plan, implement, and govern enterprise cloud strategies.\nIn this role, you will be a hybrid technical and business advisor. You will direct the conversation and guide the execution of the business team by combining both technical strategy and business insight. You will closely partner with value engineering in order to articulate the total value of each technical solution and the overall business partnership with Google Cloud. You will travel to customer sites, conferences, and other related events as needed.\nGoogle Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.\nResponsibilities\nBuild partner specific, go-to-market solutions to reduce business cycles and drive partner business as measured through pipeline and business growth.\nBuild 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.\nIdentify customer priorities, technical objections, and design strategies encompassing the entire Google ecosystem to deliver business value and resolve blockers.\nConduct in-depth performance profiling and optimization of customer models and data pipelines specifically for the high performance computing accelerator hardwarearchitecture, identifying and resolving bottlenecks.\nQualifications\nMinimum qualifications:\nBachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.\n6 years of experience with cloud native architecture in a customer-facing or support role.\nExperience in developing and deploying models using frameworks (e.g., TensorFlow, PyTorch, or JAX) specifically on high performance computing hardware (HPC).\nPreferred qualifications:\nExperience with HPC environments and contributions to open-source projects related to infrastructure.\nExperience with lower-level performance tools and techniques (e.g., custom kernel development, XLA compiler) relevant to optimizing code.\nExperience designing and architecting large-scale infrastructure farms.\nExperience profiling and debugging GPU/TPU workloads using XProf or PyTorch Profiler, or NVIDIA Nsight, 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