Provide high‑quality Linux server support and automation for Micron’s engineering design teams, ensuring uptime, reliability, and efficient AI and HPC workloads.
Responsibilities
Provide best‑in‑class computer support for engineering design teams
Serve as a technical leader and escalation point for Linux compute technologies
Drive innovation and automation of computer solutions for internal and customer use
We are looking for a Cyber-Physical Systems Reverse Engineer to support a new project researching and developing novel capabilities for maritime cybersecurity.
Compensation
Pay Range $107,900.00 - $195,050.00
Responsibilities
Develop, integrate, and debug embedded firmware for real-time and resource-constrained systems, including RTOS-based applications, device drivers, hardware interfaces, and low-level system software
Design and implement simulation, emulation, and automated test environments for embedded and cyber-physical systems, including tools for exploring system behavior, reproducing observed effects, and exercising hardware and firmware
Analyze and reverse engineer embedded devices, firmware, communications protocols, sensors, and other system components to understand both intended functionality and real-world behavior
Develop production-quality C/C++ and Python software to automate testing, instrumentation, experimentation, and analysis, including integration with laboratory hardware and software-based analysis tools
Conduct hands-on laboratory testing using embedded debugging tools and analog/digital instrumentation; critically analyze, document, and communicate technical findings
Requirements
Nice to have: Reverse engineering embedded devices and firmware using tools such as Ghidra, Binary Ninja, IDA Pro
Nice to have: Program analysis and vulnerability research techniques (fuzzing, symbolic execution, static/dynamic analysis, binary exploitation)
The Forward Deployed Engineer – MEP Design is a hands‑on, execution‑focused role within AI2IO, embedded with the MEP Design department of DLB Associates and its family of affiliate companies.
Responsibilities
Build & deploy AI solutions
Translate design roadmap into working AI tools
Evaluate and configure off‑the‑shelf AI tools
Build scripts and automations using Python, Dynamo, Revit API, Power Automate
Monitor system performance and operations to ensure they meet performance and availability standards, flag and solve incidents, prioritize incidents, collaborate with cross-functional teams, implement monitoring processes, and provide status updates.
Responsibilities
Monitor system performance and operations to ensure they meet performance and availability standards.
Flag and solve urgent incidents, escalating complex issues to appropriate teams when necessary.
Prioritize incidents based on urgency and impact, ensuring timely resolution.
Collaborate with R&D, Delivery, and Customer Partner teams to address operational issues and improve processes.
Implement monitoring-related processes, such as on-Call playbooks and reports, to ensure consistency of service level and ensure SLAs are met.
Requirements
Technical Bachelor's degree in Industrial Engineering, Information Technology, or a related field
Lead network expansion, automation, and deployment initiatives for Oracle Cloud Infrastructure regions, collaborating with engineering, automation, hardware, and operations teams to deliver reliable hyperscale cloud infrastructure.
Locations (2)
Seattle, Washington, United States
Abilene, Texas, United States
Compensation
US: Hiring Range in USD from: $91,400 to $187,000 per annum. May be eligible for bonus and equity.
Responsibilities
Design, deploy, and operate large‑scale global cloud networks
Develop and maintain network fabrics, edge, backbone, and fiber metro networks
Automate network tasks using Python and automation frameworks
Provide 24x7 operational support during build phases
Lead technical initiatives and mentor junior engineers