SGS_JOB_3162
Contract - 12 Months
The Global ODM Fulfillment Operations team within the Global Supply Chain Operations (GSCO) group is responsible for teaming with our supply chain partners to build, deliver, and enable our AI, Compute and Storage infrastructure. Our computing foundation is its Data Centers, and key strategic partnerships with Original Design Manufacturers (ODMs) across the Compute and Storage industry are a crucial piece in building and operationalizing this infrastructure. The Global ODM Fulfillment Operations team is responsible for managing the operational performance of these ODM partners by setting key performance metrics, ensuring operational success and driving performance improvement programs across our supply chain, and is ultimately responsible for on-time-delivery of the hardware. This requires a dynamic approach to work to unlock challenges on the tactical (ex. supply), strategic (ex. Supply chain strategy), and foundational (ex. process overhaul) levels for Inventory Partners, ODMs, and us. The team is inherently dynamic, requiring coordination across engineering, NPI, mass production, and sustaining teams all within a given cycle. Put simply: this team is composed of flexible problem solvers who build relationships both within- and beyond- us to achieve industry-leading performance and pave the way for our AI-enabled infrastructure. The MP Materials role will play a critical role in ensuring the timely delivery of materials to our manufacturer partners, enabling the delivery of compute, storage, and AI racks to data centers and warehouses. You will be responsible for managing the flow of materials, optimizing supply chain processes, and maintaining strong relationships with internal stakeholders and external partners.
Job Description The role is an AI engineer in the AI research team to execute its engineering tasks. The team aims at driving innovation towards superintelligence from the perspective of data curation algorithms for perception, better modeling of spatial and temporal knowledge, and more efficient research tools. We work on research in various modalities (e.g., CV, NLP, embodied AI) and build large scale foundation data and models with high quality and diversity. In this role, you will be embedded into the team and other AI research collaborators to convert ideas into implementation and solutions. You will build new algorithms, new functionalities, and new architectures in our research platforms. You will participate in the team publication effort to turn works into broad research outcomes and push the research frontier in superintelligence.
We are looking for a skilled Linguistic Engineer to join our team to build, maintain, and analyze datasets powering LLM powered features. In this role, you will be instrumental in building and assessing the quality of data processed by our LLM production systems. Using new and existing data quality workflows and pipelines, you will collaborate closely with a cross functional team of engineers, research scientists, project managers, and data scientists to build datasets for, report on, and generally guide improvements on our LLM powered features, ensuring their accuracy and reliability in smart glasses applications.
Location : Sunnyvale, CA, Summary • As Product Lifecycle Analyst (PLM) at Client, you will take on a critical role in bringing AR/VR to our customers. You will work side-by-side with engineering and business teams that are leading innovation in this exciting new product category. • The PLM Analyst will support a variety of product projects through the entire product lifecycle including concept, prototype, new product introduction, and sustaining PLM activities. Product types include research, consumer intent, accessories, and service offerings. You must be flexible, responsive, and able to manage competing demands.
Role Summary: • We are seeking a Software Test Engineer experienced in verifying VoIP software applications, specifically those integrated with LMR systems. • The ideal candidate possesses a robust command of Windows and Linux operating systems, virtualization technologies, fundamental networking, and test automation.
Location (mandatory): Remote Client is seeking a strong AI Engineer to join our AI Research team; an organization focused on making research breakthroughs in AI. Join the core team defining the future of multimodal AI. You will build the data engines and evaluation platforms that power our frontier multimodal LLMs, transforming raw data into high-fidelity benchmarks that drive breakthroughs at Client-scale. You’ll ship high-fidelity reproducible breakthroughs and bridge frontier research into Client's product ecosystem to impact billions. You'll collaborate within an interdisciplinary group of scientists and engineers, leveraging world-class compute, data resources, and research facilities.