• Provide subject matter expertise to support proposal development, ensuring logistics approaches, methodologies, and solutions meet customer requirements. • Partner with capture, pricing, and proposal teams to develop logistics concepts of operations (CONOPS), staffing models, workflows, and technical volumes. • Review requirements related to supply chain, warehousing, inventory, transportation, and distribution to ensure compliance and alignment with customer expectations. • Craft clear, compelling technical narratives describing logistics capabilities, processes, technologies, and performance metrics. • Advise on feasible, cost effective logistics solutions to strengthen win themes and differentiators. • Support risk identification and mitigation strategy development for proposal submissions involving supply chain or transportation functions. • Provide recommendations on leveraging systems and industry best practices in proposal responses. • Engage on an as needed basis to answer technical questions, refine solution elements, and ensure the final product reflects sound logistics expertise.

• Develop world-class GPU-accelerated AI inference serving software • Contribute to feature development and drive broad customer adoption • Drive the convergence of the Triton Inference Server and NVIDIA Dynamo stacks to establish a unified, high-performance inference platform • Ensure feature parity and effectively serve both Large Language Model (LLM) and non-LLM workloads • Build robust software designed to be deployed in production server or cloud environments • Optimize and balance prediction throughput and latency • Develop and adopt the next generation of inference technologies

• Design, build, maintain and extend products, features, and functionality that solve real customer problems • Partner with Product, Design, and Engineering to discover and validate customer needs and technical approaches • Develop and extend integrations with onboard hardware devices such as headsign controllers, passenger counters, and fareboxes • Build and improve cloud-native backend services that manage device configuration, process telemetry data, and provide observability into fleet-wide device health • Implement and maintain robust mechanisms for over-the-air software deployment, configuration updates, and remote device management • Design testing strategies that account for the realities of hardware-in-the-loop systems including integration testing, simulated environments, and production monitoring • Maintain and improve our physical hardware lab if local to San Francisco, else contribute to solutions for remote development, testing, and debugging needs • Consistently deliver incremental value by anticipating dependencies, breaking down work, and regularly demoing progress • Communicate technical trade-offs, present system design proposals clearly, and document architectural decisions • Uplevel teammates through code reviews, pairing, and strong collaboration • Take ownership of your code and product domain, engaging in retrospectives and continuously improving how the team works

• Help establish the technical foundation for a new Canada pod, including architecture, engineering practices, and delivery approach. • Extend and adapt existing US-supported capabilities for the Canadian market, including changes across frontend experiences, backend systems, business logic, and operational workflows. • Partner with Product, Design, Data, Finance, Operations, and engineers across Fullscript to translate business opportunities into practical technical solutions. • Work across the stack to deliver maintainable, observable, and scalable solutions. • Contribute to solution design, rollout planning, and measurement of business impact. • Write high-quality code, contribute to technical improvements, and maintain strong quality standards. • Help create a strong team culture by modeling ownership, collaboration, and thoughtful technical judgment. • Make build vs adapt decisions to shape how the Canada platform evolves.