• Own the stability and performance of mission-critical systems supporting business users. • Investigate system anomalies by correlating logs, metrics, and traces to identify root causes and determine remediation approaches. • Lead rapid incident response and drive root cause resolution. • Participate in an on-call rotation to support scheduled deployments and respond to production issues outside business hours. • Respond to and resolve customer-reported issues within SLA, communicating status and resolution to business stakeholders. • Proactively identify problems, performance bottlenecks, and areas for improvement before they impact customers. • Improve observability across monitoring, metrics, logging, and alerting. • Troubleshoot and resolve software integration issues, data integrity problems, and application errors. • Identify opportunities to improve system scalability, fault tolerance, and performance.

• Ensure Infrastructure Availability • Manage and Optimize AWS Services • Coordinate and Execute Daily Deployments • Troubleshoot and Resolve Incidents • Support DevOps Best Practices • Monitor and Maintain System Health

• Support pre-sales technical discussions with customers for strategic deal development; providing technical insight on GEV products and services for nuclear controls, collecting voice of customer, responding to technical inquiries on GEV submitted proposals, conducting site surveys of existing systems, presenting case studies/demos/product solutions at industry user conferences, and providing feedback to the business’s commercial and product management organizations on control solutions that meet the customer needs in the nuclear market. • Actively listen, understand, and interpret customers’ business goals, operating objectives, and control system risks, and customize GE Vernova SCS solutions to best meet their needs. • Research and understand competitors’ regional value propositions and go to market approaches and support development of winning sales and solutions strategies. • Become regional reference point for technical queries regarding the Nuclear Industry for the Controls product line, establishing relationships with key customers. • Lead a multi-disciplinary application teams to respond to customer technical specifications for conventional nuclear, non-safety related, controls upgrades including; steam turbine controls, balance of plant controls (such as feed water level controls), generator excitation controls, HMI/network/cyber security, mechanical instrumentation, and controls lifecycle applications. • Coordinate with Controls Engineering Technical Leaders and Product Design Owners to develop clear, compliant, and competitive technical responses to customer inquiries. • Own the Technical Application Guide definition for nuclear controls applications; creating and maintaining Technical Application Guides (TAGs) which define standards for engineering design effort, material/hardware definition, technical proposal language for standard products, and overall technical quoting limits. • Support the commercialization of new product designs for nuclear controls applications, creating or revising TAGs to support the quotation of new products/applications. • Support continuous improvement of Technical Application Guides by engaging in project reviews with commercial, project management, engineering, and field service teams.

• Build software powering the next generation of intelligent humanoid robots • Work on Voice AI, Agentic AI, LLMs, VLMs, and Physical AI products • Collaborate with experts in robotics, conversational AI, embedded systems, and cloud computing • See your work deployed in real-world robotic environments • Implement high-level application software, interaction workflows, and robotic behavioral state machines • Build the core logic that translates human speech, gestures, environmental cues, and contextual information into deterministic robotic tasks • Integrate vision pipelines, object detection, scene understanding, spatial tracking, and voice interactions to provide contextual awareness • Develop robust voice applications managing STT, NLU, dialog management, wake-word detection, and TTS interfaces • Build orchestration workflows combining LLMs, VLMs, memory systems, tool calling, reasoning engines, and robotic capabilities • Consume and orchestrate navigation, manipulation, perception, and device-control services exposed by the robotics platform • Optimize applications to balance low-latency local execution with cloud-based AI services • Integrate robots with mobile devices, smart home ecosystems, enterprise applications, and cloud APIs • Build telemetry, logging, and evaluation mechanisms supporting continuous model improvement • Contribute to testing, observability, CI/CD, and production deployment practices