NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in an inclusive, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
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.
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.
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.Skills Required
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, a related field, or equivalent experience
- 10+ years of software engineering experience
- At least 5 years managing engineering teams
- Experience managing multiple technical workstreams
- Experience 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
- Understanding of timing, reliability, and failure handling
- Ability to evaluate system builds and review production code in Python, Go, or C++
- Demonstrated success delivering complex systems through collaboration across software, hardware, operations, and external partners
- Experience with data center electrical infrastructure, liquid cooling, building management systems, or supervisory controls
- Familiarity with BACnet, Modbus, OPC UA, MQTT, or Redfish
- Experience with Kubernetes, time-series data systems, Prometheus, Grafana, or OpenTelemetry
- Background in digital twins, simulation, commissioning, or hardware-in-the-loop validation
- Experience turning partner-specific integrations into reusable software products and deployment patterns
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
