Senior Software Architect, Advanced Development

NVIDIA is looking for a creative Advanced Development Engineer to join the Software Architecture Team. In this role, you will shape the future of data centers, management and monitoring solutions. You will dive into emerging technologies, define and prove concepts, and identify or create the necessary frameworks. Your responsibilities will include defining and implementing large-scale telemetry pipelines, ensuring data integrity, and designing simulation solutions and other innovative technologies. You will also design and optimize data architecture to support robust and scalable systems. As part of the architecture team, you will influence cross-company solutions and have the opportunity to participate in open source projects and communities.

What You'll Be Doing

• Discover and assess emerging technologies and innovations to ensure they align with our technological goals and business value.
• Develop and integrate software services into the Data Center life-cycle.
• Incorporate new data sources to consistently expand the capabilities of the centralized Data Lake.
• Build high-performance ETL pipelines with advanced data integrity control.
• Collaborate with various NVIDIA teams to define and implement solutions for their business requirements.
• Work closely with architects and data scientists to shape solutions and meet business needs.
• Contribute to defining the architecture for next-generation monitoring and analytics solutions for large-scale Data Centers.
• Expand the capabilities of existing solutions and Open Source projects, and contribute to the community.
  
  

• BSc. or MSc. in Computer Engineering or Computer Science.
• 5+ years of experience in development.
• Experience with modern analytic tools and platforms such as Spark, Data Bricks, etc.
• Perfect understanding of telemetry solutions at scale and automation technologies, along with modern application platforms and paradigms.
• Advanced coding skills agnostic to development languages and tools, from ETL pipelines to standalone solutions.
  
  

• Familiarity with cloud-native development and deployment methodologies.
• Experience with public cloud solutions (AWS, GCP, Azure).
• Background in data center design and technologies.
• Experience with large-scale data processing systems.
• Existing contributions to open-source communities.