…Technical leadership skills and ability to mentor early-in-profession engineers. #MicrosoftAI Software Engineering IC5 - The typical base pay range for this role across…

…Experience with Machine Learning (ML) hardware accelerators and ML inference software. Preferred qualifications: PhD in Computer Engineering, Computer Science, or a related field. 2…

…About the team The Cloud Platform team owns the production inferencing service that serves SambaNova's models to customers on RDU accelerators, including capacity…

…hardware platforms - Proven track record in building AI agents that automate ML workload optimization, ML compiler tuning, distributed inference and training, or ML kernel…

As a Software Development Engineer on the Everyday Essentials Promotions (EEP) team, you'll build systems that power promotional experiences for millions of Amazon…

…About the team The team is comprise of both Hardware Design Engineers, System Design Engineers, Software Development Engineers and Technical Program Managers, all with…

…The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration. We are hiring LLM Serving Engineers at multiple levels to…

…The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration. We are hiring an AI Performance Engineers at multiple levels…

…The Qualcomm Cloud AI team develops hardware and software platforms enabling efficient inference of large-scale foundation models. We are seeking a Staff Engineer…

…technologies and improve the capabilities of our ML Platform. Partner with product, architecture, modeling, and engineering to design robust solutions that power our Digital…

…digital forensics and incident response (DFIR), forensic investigation, or on-call security operations Detection engineering : Security Information and Event Management (SIEM) platforms, correlation rules…

…About the role SambaNova is hiring Principal Software Engineers for the SambaStack platform. We help enterprises and service providers host their own AI inference…

…Familiarity with simulation, offline evaluation, or measurement for ML systems, ideally generalising across vehicle platforms and sensor stacks Practical experience with machine learning (e…

…Thanks to Apple's unique integration of hardware, software, and services, engineers here work with a single unified vision of deep commitment to strengthening…

…Collaborate cross-functionally with software engineers, computer vision engineers, data scientists, and product leads to bring cutting-edge technologies to the team and drive…

…e.g., Terraform, Pulumi) Understand ML infrastructure and supporting interconnects Ship software through hyperscaler marketplaces or managed-model platforms Bring a background in security…

…or multi-agent coordination Worked on an AI or ML platform (model serving, inference infrastructure, developer tooling) at an AI lab or an AI…

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise…

…Partner with the inference/ML platform team: understand the cluster shapes they need — topology, interconnect, scheduling constraints — and encode them as first-class abstractions…

…Join us and help build the platform engineers turn to to ship AI products. THE ROLE: Are you the person on your team who…

…Join us and help build the platform engineers turn to to ship AI products. THE ROLE: We are seeking an experienced Product Marketing Manager…

…As a Senior Software Development Engineer on the Log-Level Data team, you will design and build the foundational infrastructure to ingest, process, store…

…software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics). - Experience in external enterprise customer-facing role as a technical lead, with strong…

Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that are used to power today’s AI workloads in datacenters all…

…Experience building or supporting production AI/ML platforms (training, deployment, and model serving/inference), including GPU infrastructure/tooling. Strong DevOps/platform engineering practices: CI…