• Serve as a lead application architect in RAPIDS Accelerator for Apache Spark • Define reference architecture of accelerated Apache Spark applications for major industry verticals • Lead the technical engagement with select customers and partners to accelerate Apache Spark applications with GPUs • Work closely with NVIDIA Spark engineering teams in architecture design and system implementations • Partner with Solution Architects to understand customer’s existing big data and ML/DL solution architecture • Conduct regular technical customer meetings for project/product roadmap, feature discussions, customer issue resolution and performance tuning • Build and work on the PoC for solutions that address customer’s critical business needs • Develop applications to promote best practices for accelerated data analytics and machine/deep learning in various industry verticals • Build tools to analyze data processing workloads to find opportunities for acceleration and cost savings • Work with major cloud service providers and Apache Spark vendors globally • Engage open source communities, including Apache Spark and RAPIDS, for technical discussions and contributions

• Advise customers on the transition to Software Defined Vehicle (SDV) architectures, focusing on decoupling hardware and software using RTI Connext Drive • Engage with our customers to provide technical guidance, assistance, and prototype proof-of-concept projects • Provide onsite technical training, configuration/code review, design guidance and debugging of complex distributed systems • Triage customer issues both onsite and remotely, and find timely solutions • Ensure our customers succeed with RTI technology

Role Overview We are looking for a forward-thinking Senior AI Developer to architect and build the next generation of autonomous AI applications. You will move beyond standard prompt engineering to design Agentic Workflows—systems where LLMs function as reasoning engines that can plan multi-step tasks, utilize external tools (APIs, databases), and collaborate with other specialized agents to achieve high-level goals. You will contribute to the technical implementation of "Agency" in our software, transforming passive AI responses into active, goal-oriented behaviors. Experience working with the GCP Vertex AI ecosystem is essential. In this role, you will design agents capable of complex reasoning and tool usage, leveraging Google’s managed infrastructure (Vertex AI Vector Search, Cloud Run, and BigQuery) to ensure reliability, security, and performance.

Role Overview We are looking for a forward-thinking Senior AI Developer to architect and build the next generation of autonomous AI applications. You will move beyond standard prompt engineering to design Agentic Workflows—systems where LLMs function as reasoning engines that can plan multi-step tasks, utilize external tools (APIs, databases), and collaborate with other specialized agents to achieve high-level goals. You will contribute to the technical implementation of "Agency" in our software, transforming passive AI responses into active, goal-oriented behaviors. Experience working with the GCP Vertex AI ecosystem is essential. In this role, you will design agents capable of complex reasoning and tool usage, leveraging Google’s managed infrastructure (Vertex AI Vector Search, Cloud Run, and BigQuery) to ensure reliability, security, and performance.