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Littleton, CO - Lockheed Martin Autonomous Systems in Littleton, Colorado, has over three decades of experience in research and application of independent decision-making capabilities on robotic vehicles and systems Employees focus on three core competencies — perception, planning and control — to create robust and dependable products across its platforms
Lockheed Martin Space - Wikipedia Lockheed Martin Space is one of the four major business divisions of Lockheed Martin It has its headquarters in Littleton, Colorado, with additional sites in Valley Forge, Pennsylvania; Sunnyvale, California; Santa Cruz, California; Huntsville, Alabama; and elsewhere in the United States and United Kingdom
Lockheed Martin Waterton Campus Most recently, Martin Martin has provided engineering design for the $350M Gateway Center, slated to open in 2020 The expansive new center will produce next-generation satellites and consolidate all Lockheed test chambers under one roof
Colorado - Lockheed Martin With more than 14,000 employees in Colorado, Lockheed Martin is a leader in aerospace, defense, and advanced technology across Colorado
Lockheed Martin Careers Explore engineering, software, and business career paths with Lockheed Martin, a global aerospace and defense technology leader
Employee Resources | Lockheed Martin We offer competitive salaries, health insurance, retirement plans, and other benefits that are designed to meet the needs of our diverse workforce We also recognize that our employees have different lifestyles and responsibilities, which is why we offer flexible work schedules to help them achieve a better work-life balance
L M Underground Horizontal Directional Drilling - L M Underground, Inc. Founded in 2000, L M Underground, Inc brings more than two decades of experience to every job In addition to horizontal directional boring, L M Underground, Inc performs trenching, rock sawing, cable plowing, hydro trenching, fiber pulling and potholing for utility locates
LM Studio - Discover, download, and run local LLMs MLX is a new Machine Learning framework from Apple MLX is efficient and blazing fast on M1 M2 M3 M4 Macs LM Studio leverages MLX to run LLMs on Apple silicon, utilizing the full power of the Mac's Unified Memory, CPU, and GPU LM Studio's MLX engine (mlx-engine) is open source and available on GitHub (MIT) We would appreciate a star! We are also looking for community contributors