- Apple Inc. (San Francisco, CA)
- A leading technology company in San Francisco seeks an AI / ML System Performance Architect to design and optimize computer architectures for Machine Learning ... applications. The candidate will collaborate with teams, define modeling approaches, and enhance product performance. A strong background in performance modeling, C++, and Python is crucial. The role offers a competitive salary range of $147,400 to $272,100,… more
- Apple Inc. (San Francisco, CA)
- AI / ML System Performance Architect - Datacenter San Francisco Bay Area, California, United States Hardware Imagine what you could do here. At Apple, new ... designs.Come join us! Description We have an outstanding opportunity for a Datacenter performance architect to contribute to the design and optimization of computer… more
- Fluidstack (San Francisco, CA)
- …Integration team. This is a hands‑on execution role focused on building and validating AI datacenter network infrastructure at scale. You'll be in the field ... deployment work means being wherever the infrastructure is being built. Nice to Haves AI Fabric Experience: Exposure to AI / ML networking environments with… more
- Menlo Ventures (San Francisco, CA)
- About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems . We want AI to be safe and beneficial for our users and ... engineers, policy experts, and business leaders working together to build beneficial AI systems . We're seeking a Procurement Operations Business Partner to… more
- Ring Inc (San Francisco, CA)
- …10+ years in software engineering, 5+ years in management roles with large-scale AI / ML systems and infrastructure. Expert-level proficiency in Python and ... About Pryon: We're a team of AI , technology, and language experts whose DNA lives...of public users. Architect and deliver horizontally scalable, fault-tolerant systems capable of handling billions of documents and burst… more
- Krea.ai, Inc. (San Francisco, CA)
- …cluster takes up an entire datacenter from our provider. learn machine learning engineering ( ML experience is a bonus, but you can also learn it on the job) from ... go. work closely with our research team to build ML pipelines and deploy models to make sense of... systems , file- systems , and networking. Distributed systems design About us We're building AI … more
- Deloitte (San Francisco, CA)
- AI Datacenter & Infrastructure Senior Manager - AI & Engineering Join our AI & Engineering team by transforming technology platforms, driving innovation, ... to deliver high-impact outcomes. + Build and grow the AI Datacenter practice & capabilities: Lead the...time in the future. Preferred + Deep knowledge of AI / ML workload characteristics (training vs. inference), GPU/TPU… more
- Deloitte (San Francisco, CA)
- AI Datacenter & Infrastructure Senior Consultant/Specialist Senior- AI & Engineering Join our AI & Engineering team by transforming technology platforms, ... ends on 2/09/2026. Work you'll do + Design, implement, and optimize AI -driven datacenter solutions: Collaborate with clients to architect infrastructure that… more
- Meta (Menlo Park, CA)
- …architectures, High Performance Computing (HPC), Machine Learning Compilers, Training/Inference ML Systems , Model Compression, Communication Collectives, ML ... help productionize high performance software & hardware technologies for AI at datacenter scale. We achieve this...DLRM or equivalent. 15. Experience or knowledge of distributed ML systems and algorithm development. 16. Experience… more
- Meta (Menlo Park, CA)
- …to explore, develop, and help productize high-performance software and hardware technologies for AI at datacenter scale. We achieve this via concurrent design, ... member of a team of innovators, working on leading AI workloads and distributed systems , and developing...(PhD) Responsibilities: 1. Lead and support research that accelerates ML applications over one or more of software, system… more
- pony.ai (Fremont, CA)
- …Datadog; SLOs, incident response, postmortems). + Familiarity with workloads common to AI / ML systems (training, inference). Compensation and Benefits Base ... Founded in 2016 in Silicon Valley, Pony. ai has quickly become a global leader in...clusters across hybrid cloud environments (public cloud and on-prem datacenter ). + Support diverse workloads including large-scale model training… more
