N

NVIDIA

Designs the chips and software that power AI

Manager – DSX Software Engineering and Controls

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
  • At least 10 years of software engineering experience, including at least 5 years managing engineering teams.
  • 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 integrated with physical infrastructure and understanding timing, reliability, and failure handling.
  • Ability to evaluate system builds and review production code in Python, Go, or C++.
  • Success delivering complex systems through collaboration across software, hardware, operations, and external partners.

Responsibilities

  • Lead the DSX Software and DSX Controls and Monitoring groups, recruiting and developing engineers, technical leads, and managers.
  • Direct architecture and delivery of services, APIs, integration frameworks, automation, and tools connecting DSX components and supporting deployments and lifecycle management.
  • Guide development of telemetry collection, equipment interfaces, operational dashboards, alarms, and control capabilities across compute, electrical, and cooling infrastructure.
  • Collaborate with DSX operations teams to incorporate operational feedback into future builds.
  • Work with critical P0 partners to align product roadmaps and standardize IT and OT data sets to improve operations and efficiency.
  • Establish release readiness through simulation, integration testing, and hardware validation.

Desired Qualifications

  • 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.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

Recently Posted Jobs

Explore more opportunities at NVIDIA

See more jobs