Software Engineer, ML Dev Enablement
- Location
- Las Vegas
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 123,000–163,500/yr
Posted 1mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Design, develop, and enhance Agentic AI tools and systems to automate workflows
- Drive continuous development of core ML infrastructure and CDE platform using Kubernetes
- Profile and optimize distributed training jobs (PyTorch/DDP) and data pipelines
- Resolve system-level bottlenecks such as data loading, memory management, and network communication
- Partner with ML engineers and data scientists to bridge infrastructure and model development
Requirements
- BS or MS in Computer Science or related field
- Strong knowledge of software engineering principles and distributed systems
- Strong proficiency with Python, Go, or C++
- Experience building on AWS services or other Cloud platforms
- Experience with container orchestration using Kubernetes
- Experience with various stages of the ML development lifecycle
Preferred
- Hands-on experience with ML model profiling and performance optimization for distributed training
- Experience managing or working with high-performance compute resources (GPUs)
- Experience with ML frameworks such as PyTorch or Ray
- Experience building, integrating, or enhancing Agentic AI systems and LLM-driven developer tools
Skills
- Python
- Go
- C++
- AWS
- Kubernetes
- PyTorch
- Ray
- DDP
- LLM
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