We are looking for a computer graphics engineer to work with the team on developing synthetic data to train and validate 3D Machine Learning features in Wearable products. A successful engineer will have deep development experience in C++ / Python, as well as with 3D packages such as Blender, particularly in the domain of scene generation (both exterior and interiors). An extra plus would also be experience or interest in ML based rendering techniques. Surrounding team & key projects: Apart of the wearables device team working on rendering images in outdoor/indoor scenes for VR, Building scaled workflows encompassing an entire render pipeline from sensor simulation and scene generation to rendering and ground truth creation (creating semantic segmentation, depth, normals, etc) Candidate must be good at maintaining timelines and working closely with other engineers/technical artists on projects. Ideal background: Computer vision and Film + Game industries.

Location : Sunnyvale, CA. We are seeking a contributor for the Client's sensor technology innovation, specifically in the development of AR/MR and other wearable devices. This individual will be responsible for validating analog/digital blocks for various sensors, including image sensors, d To F sensors, and ALS sensors. Additionally, they will support the building and upgrading of test stations/systems in our labs to accommodate validation of new emerging sensor technologies. Typical Day in the Role: • Work as part of the team to perform validation tests for image sensors and ALS sensors. • Collect and perform statistical analysis on test data to correlate it with performance metrics. • Support debugging, root cause analysis, and problem-solving efforts. • Support efforts to develop new imaging sensor test methodologies to evaluate sensor performance based on MR/AR/SG and other wearable applications. • Collaborate with the image sensor team, computer vision scientists, module/optical experts, and sensor architects to evaluate next-generation sensor technologies. • Support imaging sensor characterization/validation engineers in providing high-quality electrical/optical test infrastructure. Work with the team to identify ways to improve existing capabilities and add new ones.

Full lifecycle application development. Designing, coding and debugging applications in various software languages. Software analysis, code analysis, requirements analysis, software review, identification of code metrics, system risk analysis, software reliability analysis. Object-oriented Design and Analysis (OOA and OOD). Software modeling and simulation. Front end graphical user interface design. Software testing and quality assurance. Performance tuning, improvement, balancing, usability, automation. Supports, maintains and documents software functionality. Integrates software with existing systems. Evaluates and identifies new technologies for implementation. Maintains standards compliance. Implements localization or globalization of software. Clearance: Candidates should have an active clearance (secret/top secret, etc.) in order to be considered for this position due to the nature of the work being done. Work from Home: This position is REMOTE. The candidate is able to work remotely from any location. They may be asked to take up to 4 trips per calendar year to Lexington if the program/project requires it.

Client brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. In particular, the Labs Research Audio team is focused on two goals; creating virtual sounds that are perceptually indistinguishable from reality and redefining human hearing. These

• Create sample TypeScript code to demonstrate NPC behaviors in Open Worlds • Create both simple and complex examples that can be used both for creator samples and for AI training

Location : Remote in Chicago, Philadelphia, Washington D.C., Baltimore, Delaware. We are seeking a highly skilled and motivated Machine Learning/Deep Learning Engineer with expertise in neural network development, GenAI technologies, and cloud-native deployment on Azure. This role will be instrumental in designing, training, and deploying advanced AI models across text, image, and audio domains, while also managing scalable cloud infrastructure and APIs. Duration: 17 weeks – high chance of extension Location: fully remote as long as located near client satellite in Chicago, Philadelphia, Washington D.C., Baltimore, Delaware, etc Work hours: FT - 9am - 5pm EST / 8am - 4pm EST Education preference: MS in Computer Science/Data Science Exp: At least 5+ years of industry/corporate experience is preferred Target start date: 8/22 or best Industry type best profile, i.e., finance, utility, data specific, etc?: Previous experience in utility industry is preferred but not required. Best qualities/traits keys to success in role?: Great communication skills, ability to independently identify and drive work to achieve the objectives/milestones.

Seeking a strong System / Machine Learning Engineer to join, an organization focused on making research breakthroughs in AI. Responsibilities includes Developing deep learning libraries that support large-scale distributed training, open sourcing high quality code and reproducible results for the community, and bringing the latest research to Meta products for connecting billions of users. The chosen candidate will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.

We are seeking a highly skilled Data Engineer to join our team and provide data engineering support for the Enterprise Solutions organization. The successful candidate will have experience in data modeling design and implementation, ETL pipeline building, metrics design and creation, and dashboard/visualization building.

Location - Lexington, MA 02421 Responsible for building and maintaining the day-to-day operation of computer networks that companies and organizations rely on. These networks typically include an intranet, extranet, local area network (LAN), and wide area network (WAN). Designs and plans network systems. Designing and developing the network for both LAN and WAN. Design, configure and deploy LAN and WAN network connections, hardware, software and communication links and services. Performing disaster recovery operations and data backups when required. Provides specifications and detailed schematics for network architecture. Provides specific, detailed information for technology selection, implementation, and deployment, and tools for the most efficient solution to meet business needs, including present and future capacity requirements. Conducts testing of network systems. Maintains technical expertise in all areas of network and computer hardware and software interconnection and interfacing, such as routers, switches, firewalls, proxies, load balancing, etc. Prepare appropriate network documentation, including operational instructions. Evaluates and reports on new network technologies, to enhance capabilities of the network. May require knowledge of network topography for cloud integration. May implement applications of machine to machine (M2M) communication to enhance the efficiency and security of the organization’s operations. Groups maintain and operate an airborne network wireless test bed in support of network research into tactical wireless communication systems. The test bed is composed of COTS switches, routers and workstations integrated with customized or prototype government furnished devices. The infrastructure is distributed across several locations and includes aircraft and mobile ground assets. Other Clearance: Candidate must have a secret level clearance for the start of this position Work: This candidate will work in a hybrid model; 4 days onsite

Location : Lexington, MA Designs and implements software of embedded devices and systems from requirements to production and commercial deployment for product lines. Designs, develops, codes, tests and debugs system software. Involved in specifications, design and development of embedded firmware in engineering projects. Analyzes and enhances efficiency, stability and scalability of system resources. Integrates and validates new product designs. Supports software QA. Provides postproduction support. Interfaces with hardware design and development. Experience in embedded systems development. Experience in hands-on development and troubleshooting on embedded targets. Solid programming experience in C or C++. Proven experience in embedded systems design with preemptive, multitasking real-time operating systems. Knowledge of reading schematics and data sheets for components. Strong documentation and writing skills. Work: Candidate should expect to work onsite 100%. Clearance: • This role requires a secret clearance in order to start. The candidate will need to be open and able to increase clearance level to Top Secret when they start. If someone has an active TS, that's a huge plus

• The AI and Systems Co-Design team has a mission to explore, develop, and help productize high-performance software and hardware technologies for AI. • Our team defines and drives the AI software and hardware roadmap. • We are seeking a candidate who will work on a foundational tool of our internal workloads on current and next-generation AI platforms. Specifically, • this position focuses on collecting, processing, storing, and analyzing various operators and workloads.

• Designs, develops, tests radio frequency (RF) and/or microwave systems architecture, components, circuits, or products. Includes antenna design, both reflector and array systems, frequency synthesizers, transmitters and receivers. Participates in electrical design tasks including requirements analysis, specification generation, interface definition, component selection, circuit simulation, schematic capture, and board layout. Participates in simulation, testing and troubleshooting of RF circuits and subsystems. Develops test plans and procedures for RF subsystems. Sub-system circuit design. Participates in required design reviews. Designs or develops radio frequency equipment and products which are used for the testing process of radio frequencies. Produces radio frequency devices and components ensuring that the design specifications are completely followed. Troubleshoots any problems found in radio frequency testing equipment or circuits. Knowledgeable in system architecture and specifications. Optimizes and analyzes the network and improving its performance if necessary. Ensures that reliability requirements are met in the design: these include E.M.C (electromagnetic compatibility), safety, manufacturability and thermal design aspects. • The Rapid Prototyping Group designs and fabricates custom prototypes for multiple groups around the Laboratory. The Group is seeking an experienced RF engineer to work on a variety of short duration (6-18 month) projects that bridge across many disciplines. This position is necessary to complement the range of expertise that we already have in the group and provide multi-disciplinary design, integration and testing of novel prototype systems. The engineer must be hands on and enjoy building hardware, developing and executing functional tests, and troubleshooting hardware prototypes.