Principal Technical Program Manager, Autonomous Driving Product Triage and KPI Operations

Overview

• We are a world - class autonomous driving hardware and software development team.
• We have the best platform and have maintained a leading position in the field of artificial intelligence.
• Next, we will continue to deepen our efforts in the autonomous driving field and strive to bring sustained growth to our customers.
• NVIDIA is seeking a Principal Program Manager to build and operate product triage, performance analysis, and issue-closure operating system for autonomous driving programs.
• This is a key role to support AV software agile iteration & development for customer program release, together working with the engineering teams, understanding AV stack deeply and providing data-based judgement and delivering high-quality AV software to end customers.
• Are you ready to handle sophisticated technical systems that deliver true self-driving capabilities to users? In this role, the candidate should be able to build scalable workflows, metrics, dashboards, operating rhythms, and team mechanisms that improve triage efficiency&accuracy in a scalable way, issue closure workflow, significant metric operations visibility, automation, and cross-functional accountability.
• What you'll be doing : Build and improve AV L2++/L3/L4 product and technical critical metric frameworks, track regressions, drive cross-functional corrective actions, and close validation loops to achieve measurable product performance improvement.
• Define scalable AV triage strategy and process, build improve issue closure quality and efficiency, drive product/module performance improvements with cross-functional teams.
• Lead triage/tagging automation and cross-functional issue closure across product, program, testing,.
• Drive a structured issue-closure loop from critical metric regression to owner action, validation, closure, and regression prevention, improving product and module-level matrixs performance.
• Define and improve AV product and technical matrixs frameworks, including metric definitions, failure modes/scenario-level matrixs regression gates, and validation criteria.
• Define and improve the end-to-end AV product issue triage lifecycle, covering issue intake, tagging, classification, severity/priority assessment, owner routing, validation, closure, reopen, and regression tracking.
• Build scalable triage workflows, taxonomies, quality-check, product performance dashboards, and operational metrics to improve triage consistency, closure efficiency, and critical metric visibility.
• Establish KPI-to-issue traceability by connecting regressions to cases, failure modes, root causes, owner actions, validation outcomes, and measurable critical metric recovery.
• Lead triage/tagging automation and cross-functional issue closure across product, program, testing, engineering, model/algorithm, simulation, evaluation, data, and operations teams.
• What we need to see: BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Automotive Engineering, Automation, or a related field, or equivalent experience.
• 15 + years proven ability in autonomous driving large scale in-car test, issue triage, system engineering, technical program management or related fields.
• Strong experience on in-car test, product performance, issue triage, critical metric analysis, issue lifecycle management, validation analytics, or cross-functional issue closure.
• Proven ability to drive cross-functional technical programs across carline programs, AD products, system engineering, model/algorithm, simulation, testing, fleet operations teams.
• Strong experience building issue lifecycle processes, benchmark definition, Failure mode taxonomy, Scenario taxonomy, Root-cause taxonomy, Issue clustering, target dashboard, triage workflow, operating metrics, and issue-closure mechanism.
• Ability to convert ambiguous product or testing signals into structured issues, failure patterns, root-cause hypotheses, owner actions, verification plans, and critical metric insights.
• Team worker with excellent communication skills, including critical metric reporting, issue status reporting, risk summaries, and cross-functional closure updates.