NVIDIA

Manager, DSX Software Engineering and Controls

In short

This role leads NVIDIA's DSX Software and Controls teams in Santa Clara, building software and OT control systems for AI factories, including telemetry, dashboards, and integration across compute, electrical, and cooling infrastructure. It's a management position requiring 10+ years of software engineering experience with at least 5 years managing teams, plus strong architecture experience spanning distributed services, infrastructure software, and industrial automation. The role demands close collaboration across software, hardware, operations, and external partners.

About the Role
Are you ready to lead a dedicated engineering team at NVIDIA? We are seeking a dynamic Manager of DSX Software Engineering & Controls to head our DSX Software and Controls teams in Santa Clara, CA. This outstanding role allows you to build the future of AI factories by developing software and OT control systems to drive efficiency and operational intelligence. You will collaborate with skilled engineering teams, infrastructure partners, and customers to deliver coordinated, production-ready capabilities that drive our ambitious AI factory initiatives.
What You'll Be Doing
•Leading both the DSX Software and DSX Controls and Monitoring groups, you will recruit and develop engineers, technical leads, and managers.
•Directing the architecture and delivery of services, APIs, integration frameworks, automation, and tools that connect DSX components and support deployments and lifecycle management.
•Guiding the development of telemetry collection, equipment interfaces, operational dashboards, alarms, and control capabilities, across compute, electrical, and cooling infrastructure.
•Collaborating closely with DSX operations teams to ensure operational feedback is incorporated into future builds.
•Working with critical P0 partners to align product roadmaps and standardize IT and OT data sets, improving operations and efficiency.
•Establishing release readiness through simulation, integration testing, and hardware validation.
What We Need to See
•A Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
•10+ years of software engineering experience, with at least 5 years managing engineering teams.
•Demonstrated experience managing multiple technical workstreams and mentoring senior engineers, technical leads, or engineering managers.
•Strong architecture background in distributed services, infrastructure software, telemetry platforms, or industrial automation.
•Experience delivering software that integrates with physical infrastructure and an understanding of timing, reliability, and failure handling.
•Ability to evaluate system builds and review production code in languages such as Python, Go, or C++.
•Demonstrated success delivering complex systems through collaboration across software, hardware, operations, and external partners.
Ways to Stand Out from the Crowd
•Experience with data center electrical infrastructure, liquid cooling, building management systems, or supervisory controls.
•Familiarity with equipment and telemetry interfaces such as BACnet, Modbus, OPC UA, MQTT, or Redfish.
•Experience with Kubernetes, time-series data systems, Prometheus, Grafana, or OpenTelemetry or equivalent experience.
•Background in digital twins, simulation, commissioning, or hardware-in-the-loop validation.
•A record of turning partner-specific integrations into reusable software products and deployment patterns.
Compensation
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 1, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

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