Nvidia Senior Engineering Manager - Data Center Telemetry RAS 

United States, Texas 

313541472

What you’ll be doing:

• Lead Data Center Compute Telemetry & RAS:Own the end-to-end architecture and delivery for telemetry solutions, including fleet health monitoring, fault remediation, and data visualization at scale. Owning OOB telemetry solution and data validation for telemetry from each underlying device.

• Build and Mentor a World-Class Team:Recruit, develop, and motivate a high-performing engineering team focused on platform telemetry, RAS and observability.

• Process Optimization:Continuously improve software development processes for optimal productivity and quality.

• Cross-Functional Collaboration:Work across teams to ensure seamless integration of telemetry solutions with platform firmware, server architecture, and data center management.

• Product Ownership:Drive product life cycles with QA teams, ensuring robust testing, productization, and delivery.

• Performance Management:Conduct performance reviews, foster a culture of excellence, and ensure high productivity.

What we need to see:

• 12+ overall years of relevant experience and 5 yrs of managing systems/platform software teams, ideally in server RAS, firmware, telemetry, or data center solutions.

• BS, MS, or PhD in EE/CS or related field (or equivalent experience).

• Strong knowledge of DMTF/PLDM for OOB telemetry collection, time series databases (e.g., InfluxDB, Prometheus) and REST APIs (Redfish)..

• Deep understanding of Server and firmware architecture and optimization for low-latency APIs.

• Proven track record of delivering scalable server products and telemetry solutions.

• Experience with SCM (Git, Perforce) and project management tools (Jira).

• Excellent written and oral communication skills, strong work ethic, and commitment to teamwork.

• Hands-on experience with x86/ARM system architecture and coding (C/C++, Python).

• Familiarity with Confidential Compute and notification systems.

• Demonstrated ability to analyze algorithms for time/space complexity and system resource requirements.

• You are a self-starter who loves to find creative solutions to complicated problems and hands on with coding.

Ways to stand out from the crowd:

• Experience building and scaling telemetry collection and analysis engines.

• Active contributor to Open Compute (OCP) and DMTF in relevant areas.

• Proven leadership in delivering innovative platform telemetry solutions for large-scale AI infrastructure.