Kubernetes Infrastructure Engineer focusing on Quantum Key Distribution software in Vienna. Responsible for secure and reliable software infrastructure operations.
About the role
- Senior ML Infrastructure Engineer for GM's ML Inference Platform. Focused on building and scaling reliable AI infrastructure supporting ML workflows.
Responsibilities
- Design and implement core platform backend software components.
- Collaborate with ML engineers and researchers to understand critical workflows, parse them to platform requirements, and deliver incremental value.
- Lead technical decision-making on model serving strategies, orchestration, caching, model versioning, and auto-scaling mechanisms for highly optimized use of accelerators.
- Drive the development of monitoring, observability, and metrics to ensure reliability, performance, and resource optimization of inference services.
- Proactively research and integrate state-of-the-art model serving frameworks, hardware accelerators, and distributed computing techniques.
- Lead technical initiatives across GM’s ML ecosystem.
- Raise the engineering bar through technical leadership, establishing best practices.
- Contribute to open source projects; represent GM in relevant communities.
Requirements
- 5+ years of industry experience, with focus on machine learning systems or high performance backend services.
- Expertise in either Python, C++ or other relevant coding languages.
- Expertise in ML inference, model serving frameworks (triton, rayserve, vLLM etc).
- Strong communication skills and a proven ability to drive cross-functional initiatives.
- Ability to thrive in a dynamic, multi-tasking environment with ever-evolving priorities.
Benefits
- medical
- dental
- vision
- Health Savings Account
- Flexible Spending Accounts
- retirement savings plan
- sickness and accident benefits
- life insurance
- paid vacation & holidays
- tuition assistance programs
- employee assistance program
- GM vehicle discounts
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