Electrical Engineer, Airframes
Flock Safety- Full Time
- Junior (1 to 2 years)
Candidates should possess a Bachelor’s or Master’s degree in Electrical Engineering and a minimum of 3 years of experience with RF & mmW circuit/module design, integration, and testing. They should have experience with RF schematic and layout generation, preferably in Cadence Virtuoso, and be proficient in RF device and circuit modeling. Familiarity with RF testing, both on and off wafer, and knowledge of RF passive and active circuits, components, or modules is also required, along with experience with high frequency and RF simulation tools such as ADS, MWO, Cadence, and HFSS, CST. Knowledge of advanced microelectronic packaging as well as RF module integration and experience with silicon or III-V MMIC process design kits (PDKs) is desired. U.S. citizenship or permanent resident status is required.
The RF Engineer will contribute technical expertise to a team developing next-generation RF/mmW components and subsystems, including schematic/layout generation, RF testing, maintaining process design kits (PDKs), device modeling, and RF system design. They will perform detailed analyses of integrated circuits, prepare written and oral presentations, interact professionally with program managers, co-workers, and customers, and work in a fast-paced, deadline-driven environment, potentially involving travel and collaboration within a team of skilled engineers on complex projects.
Develops cognitive systems for human-machine collaboration
HRL Laboratories focuses on research and development of advanced cognitive systems and human-machine collaboration, enhancing human cognitive abilities through artificial intelligence (AI) and machine learning (ML). The company develops solutions like the ICArUS project, which improves machine interpretation of information, and the MEMES project, aimed at enhancing human memory. HRL operates on a project-based model, serving clients in defense and high-tech sectors by delivering customized solutions and licensing technologies. The goal is to lead in creating cognitive systems that improve the interaction between humans and machines.