Lead Engineer - Embedded Software - GE Aerospace Research with Security Clearance

Job Description Summary Job Description Essential Responsibilities: As a Lead Embedded Software Engineer, you will:

• Work independently as well as with a team to develop and apply advanced software technologies for embedded controls and communication systems for GE Aerospace products
• Interact with hardware suppliers and engineering tool providers to identify the best solutions for the most challenging applications
• Lead small to medium-sized projects or tasks
• Be responsible for documenting technology and results through patent applications, technical reports, and publications
• Expand your expertise staying current with advances in embedded software to seek out new ideas and applications
• Collaborate in a team environment with colleagues across GE Aerospace and government agencies Qualifications/Requirements:
• Bachelor's degree in Electrical Engineering, Computer Science, or related disciplines with a minimum of 7 years of industry experience OR a master's degree in Electrical Engineering, Computer Science, or related disciplines with a minimum of 5 years of industry experience OR a Ph. D. in Electrical Engineering, Computer Science, or related disciplines with a minimum of 3 years of industry experience.
• Strong background in software development for embedded systems (e.g., x86, ARM)
• Strong embedded programming skills such as: C/C++, Python, and Rust
• Willingness to travel at a minimum of 2 weeks per year
• Ability to obtain and maintain US Government Security Clearance
• Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening
• Must be willing to work out of an office located in Niskayuna, NY
• You must submit your application for employment on the careers page at www.gecareers.com to be considered Desired Characteristics:
• Coding experience with Bash, Python, C#, MATLAB, ARMv8 assembly, RISCV assembly
• Experience with embedded devices from Intel, AMD, Xilinx, NXP, etc.
• Experience with wired and wireless networking protocols or network security
• Knowledge of 802.1, 802.3, and/or 802.11 standards
• Experience in software defined networks (SDN) and relevant software such as OpenFlow, Open vSwitch, or Mininet
• Hands-on experience with embedded hardware (such as protoboards) or networking equipment (such as switches and analyzers) in a laboratory setting
• Experience with embedded development in an RTOS environment (e.g., VxWorks, FreeRTOS)
• Demonstrated ability to take an innovative idea from a concept to a product
• Experience with the Agile methodology of program management
• Ensure the safety of all people engaged in the technical scope of their work - including safety of humans working alongside robotic and autonomous systems - as fundamental to how we operate, above all else.
• Continuously scan and interpret the external landscape - academia, national labs, startups, competitors, and adjacent industries - and translate that view into a clear point of view on the long-range robotics and autonomy threats and opportunities most consequential to GE Aerospace, including areas well beyond today's product technology roadmap and in adjacent or emerging markets.
• Discover, curate, and drive revolutionary technological advancements in robotics, autonomy, and human-machine teaming that translate into high-impact business outcomes for GE Aerospace on a long (typically 10-15+ year, in some cases further) horizon.
• Shape and own program outcomes: define the technical thesis in terms of the business advantage it creates, retire key technical and adoption risks early, set aggressive but meaningful milestones, and drive operation, quality, and delivery to impact.
• Drive multi-disciplinary efforts that reach beyond the individual's own technical area of expertise - actively convening and integrating capabilities from other disciplines across GE Aerospace Research and beyond (for example, materials, manufacturing, aero-thermal, controls, systems, digital and AI, human factors, and others as needed) - recognizing that the highest-impact opportunities are usually cross-cutting rather than contained within a single discipline.
• Actively identify new opportunity areas where robotics and autonomy can create advantage for GE Aerospace - across manufacturing, maintenance and services, product, and emerging domains - rather than working within a fixed technical scope.
• Leverage technology strategy - roadmaps, technology scouting, and portfolio choices - as a means to secure competitive advantage and business outcomes, not as an end in itself.
• Make transparent go / no-go / pivot decisions at stage gates with clear logic and lessons learned; retire work that no longer meets the business-value hypothesis.
• Shape and steer strategic partnerships with robot platform companies, academia, and national labs so GE Aerospace influences the capabilities being built rather than only consuming what the market offers.
• Shape and win externally funded programs (DARPA, DoD, NSF, ARM Institute, DoE, industry consortia) that materially advance GE Aerospace business priorities; coach principal investigators on technical framing, program capture, and review defense.
• Use IRAD as strategic seed capital: place concentrated bets on high-upside concepts, generate early proof points, retire risk, and position GE Aerospace to win larger external programs and business commitments.
• Build trusted engagement with GE Aerospace product, engineering, manufacturing, MRO, and services leaders to develop a deep understanding of the business - its priorities, constraints, and future needs - and where advanced research could create meaningful advantage. Advanced research is exploratory by nature; much of the value comes from insight, options, and early evidence that shape business strategy - not only from technologies that ultimately reach a product or service.
• Recruit, mentor, and grow technical talent across the robotics and autonomy community at GE Aerospace Research; nurture Technical Fellows, senior scientists, and early-career researchers into increasingly consequential roles.
• Represent GE Aerospace externally through keynotes, university engagements, workshops, and strategic partnerships; project the ambition and energy that attracts top talent to the center.
• Help shape and drive the ARO operating model and lead continuous improvement of how the ARO selects, executes, and transitions advanced research.. Required Qualifications
• Ph. D. in Robotics, Artificial Intelligence, Computer Science, Electrical Engineering, Mechanical Engineering, or a closely related discipline.
• Minimum 15 years of progressive research and technical leadership experience across autonomous systems, robotics, machine learning, and / or human-machine teaming, with applied work translating research into demonstrated business or operational impact.
• Demonstrated record of shaping and owning outcomes on a portfolio of R&D efforts - including framing the business thesis, technical execution, team formation, capital / lab investment planning, and stage-gated decision making.
• Track record of moving robotics or autonomy technology from research into demonstration or deployment in a real operational setting (manufacturing, MRO, defense operations, or comparable) where it created measurable value.
• Demonstrated success securing external research funding from public or private sources (NSF, DARPA, DoD, ARM Institute, industry consortia, EU framework programs, or equivalent).
• Strong technical depth in two or more of: collaborative autonomy and human-robot collaboration, machine learning (including modern deep learning, RL, and LLM-based agents), cognitive and intelligent systems, computer vision and multimodal perception, task and motion planning, or assurance / safety for autonomous systems.
• Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.
• Ability to attain and maintain a U.S. Government security clearance; must meet U.S. Person status for access to export-controlled information.
• Must be willing to work out of an office located in Niskayuna, NY. Critical Behavioral Attributes (Non-Negotiable) These are the attributes we will evaluate as rigorously as technical qualifications. They are what separate a good scientist from a Senior Technical Fellow at GE Aerospace Research.
• Ownership. Takes full ownership of outcomes and the steps required to drive them. Does not abdicate responsibility or accept roadblocks; works actively to secure the support needed while keeping the outcome squarely on their shoulders - even through perceived obstacles.
• Strong communicator. A clear thinker who conveys ideas cleanly, and equally strong at receiving input and making sense of it in context. When something is unclear, they seek clarity with curiosity - not with a predetermined conclusion in mind.
• Strong collaborator. Actively works across technical domains, business units, and external partners. Creates conditions where teams move faster together than any one contributor could alone.
• Thrives through ambiguity. Comfortable operating without a fully defined path while keeping the target business outcomes in mind; converts uncertainty into structured hypotheses, decisions, and progress.
• Grows others in their strengths. Actively identifies talent, coaches individuals into consequential roles, and builds a bench of future technical leaders. Deploys coaching and mentoring deliberately and distinctly: applies structured coaching to build others' independent problem-solving and decision-making capability and mentoring to transfer hard-won technical and organizational judgment.
• Willing to grow themselves. Actively curious; models the learning behavior expected and welcomes challenge to their own thinking. Desired Characteristics
• Recognized thought leader in robotics, autono