Requirements:

• BS, MS, or Ph.D. in Computer Science, Computer/Electrical Engineering, or related technical field, or equivalent experience
• 8+ years of experience in technical roles such as data science, data engineering, or ML engineering, ideally targeting large-scale production systems
• Demonstrated AI/ML experience across multiple phases of the machine learning lifecycle
• Facility with systems topics including Linux, batch schedulers, Kubernetes, distributed filesystems, and advanced networking
• Solid scripting and programming skills in languages like bash and Python
• Experience using machine learning or deep learning frameworks for training and inference
• Excellent communication and technical presentation skills
• A clear record of engineering discipline and execution on projects

Nice to haves:

• Experience contributing to and working in open-source communities
• Experience with NVIDIA ecosystem tools and technologies
• Experience building machine learning systems in a security-critical environment
• Familiarity with MLOps practices in a cloud-native context
• Direct experience diagnosing and fixing performance problems across application layers

What you'll be doing:

• Build and deploy custom AI solutions on NeoCloud platforms
• Act as a primary technical contact for internal and external customers
• Work closely with infrastructure software and accelerated frameworks
• Profile and tune large-scale training and inference workloads on NCP platforms
• Develop open-source tools and reference architectures

Perks and benefits:

• Competitive salaries and generous benefits package
• Recognition as one of the technology world's most desirable employers
• Innovative and dedicated colleagues
• Rapidly expanding teams
• Opportunity to make a lasting impact on the world