sgs-job-4071
Contract - 03 Years
Location (mandatory): Lexington, MA The Group develops, builds, and operates prototype space and airborne LASERCOM (Laser Communication) terminals. Group needs a Sr. Linux System Administrator to support both classified/unclassified development, implement and enhance critical infrastructure and support end user workstations. Maintains operation of multi-user computer systems, including coordination of infrastructure and cloud responsibilities. Develops and designs core operating system builds. Responsible for coding, virtualization, and automation of systems. Sets up administrator and service accounts, maintains an active directory of users and system documentation, tunes system performance, installs system-wide software, and allocates mass storage space. Assesses and resolves user access problems related to security controls to minimize business impact and risk exposure. Identifies and evaluates vendor products and establishes vendor monitoring and tracking processes. Performs capacity planning and monitors/tunes systems. Recommends appropriate platforms for purchase, coordinates installation, and provides backup recovery. Serves as a point of escalation for major incidents that are unresolved at the helpdesk level. Develops and monitors policies and standards for allocation related to the use of computing resources. May draft general IT communications to end-users including notifications of outages/downtimes.
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.