Senior Manager, Software Engineering - Data Platform

at Nvidia
📍 Santa Clara, United States
USD 272,000-471,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 4 Software Development @ 7 Leadership @ 4 Mentoring @ 4 Planning @ 4 OSS @ 3 GPU @ 4

Details

At NVIDIA, we constantly innovate to amplify human intelligence. Our invention of the GPU fueled revolutions in gaming, computer graphics, and parallel computing. Now, GPU deep learning is driving modern AI forward. Join the GPU AI/HPC Infrastructure team and lead the design and delivery of a Data Platform that powers telemetry, application and user data, application observability, model training and inference, chip development, and system and application health for large-scale CPU/GPU clusters.

Responsibilities

  • Manage and grow a team of full-stack engineers and data pipeline architects to deliver scalable data services and infrastructure that power the Data Platform and dependent applications.
  • Work with end customers across the company to build a roadmap for the data platform to meet their scaling needs.
  • Collaborate with, leverage, and influence product teams and internal stakeholders.
  • Actively participate in project planning, scheduling, and value/cost analysis for engineering requests across multiple teams.
  • Coordinate cross-functional development with other business units (engineering, server, storage, security teams).
  • Establish team objectives for the Data Platform and determine resource usage to meet schedules and goals.
  • Drive software engineering execution quality and standard processes.
  • Solve reliability, efficiency, and productivity challenges for the Data Platform.
  • Recommend changes to policies and establish procedures that affect the immediate organization.
  • Connect with senior management on team vision and development progress.

Requirements

  • BSEE, BSCS, or equivalent experience and 15+ years of related work experience.
  • Proven experience managing teams of 15+ engineers for 5+ years.
  • Leadership experience with mentoring and coaching skills to create high-performing teams.
  • Demonstrated ability to build data infrastructure for telemetry products that support 100K+ GPUs with near-realtime processing.
  • Familiarity with open-source software (OSS) and cloud-based data infrastructure technologies such as data lakes and data warehouses.
  • Experience designing a reference architecture for a data infrastructure organization.
  • Strong collaboration skills across engineering, server, storage, and security teams.
  • Deep understanding of distributed, scalable, and fault-tolerant architectures.

Ways to Stand Out

  • Track record of developing, driving and delivering software products.
  • Strong fundamentals in software development processes.
  • Prior exposure to customer-facing roles.
  • Experience grooming future engineering leaders and mentoring junior engineers.

Compensation & Benefits

  • Base salary ranges by level:
    • Level 4: 272,000 USD - 425,500 USD
    • Level 5: 308,000 USD - 471,500 USD
  • Eligible for equity and company benefits.

Additional Information

  • Location: Santa Clara, CA, United States.
  • Employment type: Full time.
  • Applications accepted at least until July 29, 2025.
  • NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.