• Set technical direction and architect multi-tenant GenAI platform systems • Lead the development of secure, scalable platforms and developer tooling for agentic coding and experimentation • Integrate generative AI frameworks, LLMs, and evaluation platforms into enterprise-grade solutions • Solve complex technical challenges, ensuring reliability, security, and performance at scale • Mentor engineers and collaborate with Research, Product, and Engineering teams to deliver impactful solutions

• Design, build, and support high‑performance APIs and microservices for vehicle history, VIN intelligence, and transaction systems. • Develop and scale Java/Spring Boot services in a modern AWS cloud‑native environment. • Architect event‑driven systems using Kafka, SQS, or similar technologies to enable asynchronous processing and data pipelines. • Contribute to platform‑wide decisions around architecture, scalability, resiliency, and security. • Implement and continuously improve CI/CD pipelines, automated testing strategies, and observability practices. • Participate in full SDLC ownership: design → build → deploy → operate (“you build it, you own it”). • Collaborate closely with product, data, and partner teams to deliver mission‑critical integrations. • Mentor engineers and help cultivate a high‑performing, collaborative engineering culture.

• 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