• Offer the opportunity to work in a project team environment with other engineers and designers involved in the design, modification, and analysis of new and existing power plant controls systems. • Work on interesting and challenging projects that include investigating, trouble-shooting, and solving a wide variety of electrical controls engineering issues. • Digital Systems Design Development -- PLC, DCS, HSI, networked computer systems, and control systems. • Functional requirement and procurement specifications for control systems. • Mechatronics, control systems for pumps, valves, heat exchangers, steam turbines and reactors to improve the functionality of the nuclear power plant. • Critical digital asset cyber assessment and assessment review. • Client meetings and site walkdowns to validate scope and ensure client satisfaction. • Assist the project manager/director to ensure projects are completed satisfactorily, on time, and within budget. • Prepare and review detailed calculations, including scaling, uncertainty, and setpoint calcuations for digital and analog controls applications. • Interface with vendors to perform document reviews and prepare materials and equipment purchase specifications. • Prepare reports and studies that present technical information in a clear and concise manner to meet client requirements. • Perform independent reviews of work performed by others, including design documentation, specifications, calculations, and drawings. • Enhance your career via participation in professional Communities of Practice. • Provide guidance as a mentor in the development of less experienced engineers.

• Build our ‘Universal Translator’ Framework: You will be the primary builder of our data ingestion and semantic transformation pipelines. You will design and implement the core framework and specific connectors to parse API schemas and transform raw data into our canonical model. • Architect the Knowledge Construction Engine: You will implement the systems that turn data into knowledge. This includes building the code generators that compile our team's high level mapping configurations into low level artifacts and developing the software for our entity resolution engine to fuse disparate data into unified conceptual entities. • Data Quality & Validation Strategy: You will contribute to a multi-backend graph architecture optimized for both real-time temporal state and deep multihop path analysis. • Work Crossfunctionally: Work closely with the Principal Ontologist, Asset Platform, Risk Platform, Ingest, and Design Teams. • Lead, Mentor, and Align: Guide a diverse team of engineers, taxonomists, and subject matter experts in distilling vendor-specific noise into a unified topography of risk. Provide support to the wider CTO organization including the Falcon Fund, Privacy & Cyber Policy, Data Science and Detection Architecture teams, as well as the broader CrowdStrike organization as needed. Work with industry analysts to provide product updates, briefings, and demonstrations.

• Own the deployment, configuration, and ongoing management of Bobsled’s AI data agents for enterprise customers, acting as the primary technical point of contact for a small book of accounts. • Rapidly develop subject matter expertise in each customer’s data layer, context layer, and operational workflows. • Design, implement, and tune context ingestion, data pipeline integration, and agent orchestration to ensure high-performing, reliable AI deployments. • Write and ship production-grade code, customizing and extending Bobsled’s platform to meet customer-specific requirements. • Collaborate closely with customer stakeholders (technical and non-technical) to understand business objectives, untangle complex requirements, and translate them into actionable technical solutions. • Conduct rapid prototyping, iterative solution development, and high-touch troubleshooting directly in customer environments. • Monitor, evaluate, and improve the performance of deployed solutions, leveraging feedback loops to identify opportunities for enhancement and generalization. • Document best practices, reusable patterns, and deployment primitives, contributing to internal knowledge bases and future product abstractions. • Partner with Bobsled’s product and engineering teams to relay insights from the field, shaping platform evolution and customer success strategies.

• Investigating the latest and future NVIDIA GPU hardware architecture and programming models • Working on the frontier of AI by understanding advanced algorithms (like attention sinks and MoEs) and numerics (like block-scaled floating point) to identify new opportunities for optimization • Designing and implementing compiler technology using MLIR to optimize high-level kernel descriptions (written in Triton's Python DSL), with a focus on generating efficient, low-level GPU code • Engaging in a dynamic, iterative process of optimization—sometimes starting with the kernel, sometimes with the compiler—to find the most efficient path to peak performance • Collaborating with teams across NVIDIA, including hardware architects and the CUDA compiler team, to influence future products and ensure we are always operating at maximum efficiency