Senior MLOps Engineer - DSX Enablement

About the Role

NVIDIA is seeking a Senior MLOps Engineer to join the DSX Enablement team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads. You will partner with the world's most innovative AI companies and open-source communities to address their most challenging technical problems.

Responsibilities

• Build and deploy custom AI solutions on NeoCloud platforms and NVIDIA Cloud Partners (NCPs), including distributed training, inference optimization, and MLOps pipelines
• Act as a primary technical contact for internal and external customers and partners, guiding joint engagements and ensuring the success of initiatives on DGX Cloud
• Solve complex problems in production environments
• Work closely with teams building infrastructure software and accelerated frameworks that support today's most compelling AI applications
• Profile and tune large-scale training and inference workloads on NCP platforms, leading efforts to reduce latency, cost, and operational risk
• Develop open-source tools and reference architectures to make it easier to build and manage machine learning and AI workloads, pipelines, and systems at scale
• Advise infrastructure experts on the demands of ML workloads
• Help practitioners diagnose and solve full-stack AI and ML system problems

Requirements

• BS, MS, or Ph.D. in Computer Science, Computer/Electrical Engineering, or a 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, from exploratory analysis to production systems
• Facility with systems topics including Linux, batch schedulers, Kubernetes, distributed filesystems, and advanced networking at datacenter scale
• Solid scripting and programming skills in languages like bash and Python
• Solid systems programming skills in a language like C++, Go, or Rust
• Experience using machine learning or deep learning frameworks for training and inference
• Excellent communication and technical presentation skills, with the ability to clearly articulate architectures, trade-offs, and recommendations to both engineering and leadership audiences
• A clear record of engineering discipline and execution on interesting projects, whether working alone or collaborating on a team

Preferred Qualifications

• Experience contributing to and working in open-source communities
• Experience with the NVIDIA ecosystem, including DGX systems, CUDA, NeMo, RAPIDS, Triton, NIM, and NVIDIA networking technologies such as InfiniBand, NVLink, and RoCE
• Experience and familiarity building machine learning systems in a security-critical environment
• Knowledge of distributed training and inference frameworks
• Familiarity with MLOps practices in a cloud-native context: containerization, CI/CD pipelines, workflow automation, observability stacks, and GitOps workflows
• Direct experience drawing on deep systems knowledge to diagnose and fix performance or correctness problems that span multiple layers of the application stack, including hardware, networking, accelerator, hypervisor or OS, compilers or runtimes, application code, and libraries

Compensation and Benefits

• Base salary range: 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5
• Base salary determined based on location, experience, and pay of employees in similar positions
• Eligible for equity and benefits
• Competitive salaries and generous benefits package

Additional Information

• Applications accepted at least until August 24, 2026
• This posting is for an existing vacancy
• NVIDIA uses AI tools in its recruiting processes
• NVIDIA is an equal opportunity employer and does not discriminate 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