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.
Join us at NVIDIA and lead our dedicated teams to successfully implement groundbreaking solutions in AI factories!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position 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 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.
