Senior Software Engineer, Model Infrastructure
Looking for an infrastructure & platform engineer job in San Francisco? Choose from 147 open roles at 53 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.
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The roles on this page range from hands-on platform and systems engineering to staff-level technical leadership. Much of the work centres on building and operating distributed infrastructure: compute clusters, cloud environments, data pipelines, and deployment systems at scale. Several postings involve ML or AI-specific infrastructure, including managing GPU fleets and supporting model training workflows, as seen in roles like the Senior Staff Engineer, AI Compute at Capital One and the Senior Staff ML Platform Engineer at Faire. Others are closer to product-facing platform work, such as the Software Engineer, Platform Infrastructure at Stripe, which involves shipping production features daily across distributed systems. There are also more specialised directions: the Staff Systems Engineer, Depot and Offhail Automation at Waymo focuses on autonomous-vehicle operations, while the Business Systems Engineer at Lyft works on enterprise ERP and financial planning systems. Endpoint and device fleet management appears in the Senior Client Platform Engineer role at Faire. Collaboration with security, operations, and product teams is a common thread.
Python and Kubernetes are the most widely mentioned tools across these postings, followed by AWS, APIs, and Terraform. AI-adjacent terms such as agents, GPUs, and LLMs appear in roughly a third to a half of postings, reflecting the number of AI-focused employers in the sample. C++ and Spark appear in a minority. These counts reflect mentions in job descriptions across all postings on this page, not formal requirements, and the sample size is large enough to suggest broad patterns rather than certainties.
The employers' own advertised ranges, for individual roles at different levels — not an average and not a market rate.
The majority of postings in this sample are listed as onsite, with hybrid arrangements making up a substantial portion and a smaller number explicitly listed as remote. No postings had an unknown work mode, so the split is clear from the data. Within the hybrid postings, specifics vary: the Lyft Business Systems Engineer role, for example, states three days in the San Francisco office. Where a posting is marked remote eligible, such as the Capital One AI Compute role, that is stated directly; for others, remote eligibility is not stated and should not be assumed.
Jobs checked 3 hours ago. · Guide reviewed 9 September 2026.
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