Senior AI/ML Software Engineer — HPC & Distributed ML

Google

Reston (VA)

On-site

USD 207,000 - 301,000

Full time

14 days+

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Job summary

Google in Reston, VA is seeking a Senior AI/ML Software Engineer to architect and deploy large-scale distributed data systems and advanced ML pipelines. You will bridge HPC and modern AI, optimizing inference workloads on accelerators while leading cross-functional teams shaping the technical roadmap.

You will work with cloud-native infrastructure (Docker, Kubernetes), data storage, and AI applications for government and education initiatives.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 8 years of programming experience in C++, Java, Python, Kotlin or Go.
  • Experience in technical leadership, including roadmaps and code quality.
  • Experience in parallel computing paradigms and hardware optimization.

Responsibilities

  • Architect and operate advanced data synthesis pipelines and AI-based retrieval applications.
  • Manage petabyte-scale data ingestion and synchronization across compute environments.
  • Optimize parallel numerical operations and ML inference for accelerators.
  • Lead technical direction and mentorship for complex production systems.
  • Implement data life-cycle policies for resilience and data integrity.

Skills

Experience in programming in C++, Java
Technical leadership
Parallel computing / hardware optim
Docker
Kubernetes
Security clearance
PyTorch / TensorFlow
Distributed data systems

Education

Bachelor's degree or equivalent
Master's or PhD in quantitative field

Tools

Docker
Kubernetes
Distributed file systems
Cloud object storage

Job description

Google in Reston, VA is seeking a Senior AI/ML Software Engineer to architect and deploy large-scale distributed data systems and advanced ML pipelines. You will bridge HPC and modern AI, optimizing inference workloads on accelerators while leading cross-functional teams shaping the technical roadmap.

You will work with cloud-native infrastructure (Docker, Kubernetes), data storage, and AI applications for government and education initiatives.

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