SGS_JOB_2521
Contract - 3 Years
Location (mandatory): Lexington, MA Performs technical planning, system integration, verification and validation, evaluates alternatives including cost and risk, supportability, and analyses for total systems. Analyses are performed at all levels of total system product to include concept, design, fabrication, test, installation, operation, maintenance and disposal. Ensures the logical and systematic conversion of product requirements into total systems solutions that acknowledge technical, schedule, and cost constraints. Performs functional analysis, timeline analysis, detail trade studies, requirements allocation and interface definition studies to translate customer requirements into hardware and software specifications. Activities will include organizing assembly of advanced hardware and software, including ground and space systems and testing from the component to system level; these tests may be mechanical, functional or environmental. Requirements flow down, verification and validation activities and trade studies will also be part of the job, as will developing interfaces and ICDs.
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.