Engineering Manager, Agentic GenAI Platform

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 224,000 - 431,250; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an Engineering Manager to lead the development of an agentic platform for observing, debugging, and optimizing GenAI models deployed at scale. You will guide a team to build visibility into model behavior, inference performance, reliability, and cost across large-scale workloads.

This role spans across the NVIDIA AI software stack, collaborating with teams in inference serving, model optimization, distributed systems, and production operations.

Qualifications

• BSc, MS, or PhD in Computer Science, Computer Engineering, or equivalent experience.
• 8+ years of relevant software engineering experience, including 3+ years in management.
• Experience leading software teams building large-scale distributed systems and observability platforms.
• Strong understanding of LLM/VLM inference and production performance challenges.
• Experience with logs, metrics, traces, profiling, alerting, dashboards, or incident workflows.
• Excellent communication and collaboration skills.

Responsibilities

• Lead, mentor, and grow a team building an agentic platform for monitoring and improving large-scale LLMs and VLMs in production.
• Build systems that collect, correlate, and analyze telemetry across inference servers, GPUs, schedulers, model runtimes, and customer-facing APIs.
• Develop agentic workflows that help engineers identify root causes, explain regressions, and recommend performance optimizations.
• Collaborate with internal customers and business units to align priorities and deliver production grade platform capabilities.

Skills

Team leadership

Distributed systems

Observability platforms

ML infrastructure

Performance analysis

Communication

Cross-functional collaboration

Education

BSc/MS/PhD in CS/CE

Tools

OpenTelemetry

Prometheus

Grafana

Jaeger

ClickHouse

Elastic

Job description

NVIDIA is seeking an Engineering Manager to lead the development of an agentic platform for observing, debugging, and optimizing GenAI models deployed at scale. In this role, you will lead a team building an agentic platform that provides visibility into model behavior, inference performance, reliability, and cost across large-scale GenAI workloads. This agentic platform will capture, correlate, and analyze logs, traces, metrics, and performance signals across large scale LLM and VLM deployments. It will help engineers understand model-serving behavior, find regressions, optimize latency and throughput, and improve the reliability of GenAI systems in production.

You will work across the NVIDIA AI software stack with teams focused on inference serving, model optimization, distributed systems, GPU performance, and production operations. This is a highly cross‑functional role for someone who understands deep learning systems, observability, and large‑scale software platforms, and who is excited about building agentic workflows that help teams reason over complex telemetry and performance data.

What You’ll Be Doing

• Lead, mentor, and grow a team building an agentic platform for monitoring and improving large‑scale LLMs and VLMs in production.
• Build systems that collect, correlate, and analyze telemetry across inference servers, GPUs, schedulers, model runtimes, and customer‑facing APIs.
• Develop agentic workflows that help engineers identify root causes, explain regressions, and recommend performance optimizations.
• Collaborate with internal customers and business units to align priorities and deliver production grade platform capabilities.

What We Need To See

• BSc, MS, or PhD in Computer Science, Computer Engineering, or equivalent experience.
• 8+ years of relevant software engineering experience, including 3+ years in engineering management or technical leadership.
• Experience leading software engineering teams building large‑scale distributed systems, observability platforms, ML infrastructure, or production AI systems.
• Strong understanding of LLM/VLM inference systems, deployment patterns, and production performance challenges.
• Experience with logs, metrics, traces, profiling, alerting, dashboards, or incident/debugging workflows.
• Strong programming, debugging, performance analysis, and test design skills.
• Ability to work across organizations and align technical priorities with product and business goals.
• Excellent communication and collaboration skills.

Ways To Stand Out From The Crowd

• Background in GPU performance analysis, distributed inference, model serving optimization, or reliability engineering.
• Experience building observability or telemetry platforms for AI, ML, cloud, or distributed infrastructure.
• Experience with OpenTelemetry, Prometheus, Grafana, Jaeger, ClickHouse, Elastic, or similar observability tools.
• Experience building agentic systems that reason over logs, traces, performance data, incidents, or operational workflows.
• Hands‑on experience with production GenAI serving systems and metrics such as TTFT, TPOT, throughput, queueing delay, GPU utilization, KV cache pressure, error rates, and cost per token.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $224,000 USD – $356,500 USD for Level 3, and $272,000 USD – $431,250 USD for Level 4.

You will also be eligible for equity and benefits.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.