Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Develop agentic AI solutions for engineering use cases, including workflow and multi-agent orchestration, as well as integration with engineering tools and data sources such as CAD/CAE, simulation, PLM and internal knowledge systems.
Experience with production GPU fault diagnosis. You've found genuine faults through XID events, ECC/memory errors, NVLink issues, power or thermal limits and caught at least one before the job died.
Measure and improve quality: Use tests, traces and observability, user feedback, and appropriate LLM or agent evaluations to diagnose failures and improve application behaviour.
Infrastructure & Engineering Excellence: Manage infrastructure and CI/CD pipelines while ensuring scalability, performance, security, and high code quality through best practices and governance.
Develop agentic AI solutions for engineering use cases, including workflow and multi-agent orchestration, as well as integration with engineering tools and data sources such as CAD/CAE, simulation, PLM and internal knowledge systems.
Collaborate with cross-functional stakeholders including engineering, manufacturing, automation, IT, and operations teams to deliver end-to-end digital solutions.
Collaborate with cross-functional stakeholders including engineering, manufacturing, automation, IT, and operations teams to deliver end-to-end digital solutions.
Extend the shared capability APIs (speech, vision, document extraction) and keep them fast and cheap enough that agencies reach for them instead of building their own