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Utility Computing (UC)Key job responsibilities
Our ideal candidate will have experience with machine learning infrastructure like GPUs or AWS silicon like Trainium as well as supporting networking infrastructure like NCCL. They should be able to set technical strategy and oversee the development of high-scale, reliable infrastructure. They should possess a working knowledge of Kubernetes and associated machine learning frameworks such as PyTorch, JAX, Kubeflow, Kueue, etc.A day in the life
This is a cross-functional role where you will work across a team of Kubernetes experts, Product Managers, and Applied Scientists to build machine learning capabilities for external and internal use.
- Bachelor's degree in computer science or equivalent
- 8+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Proven software development skills, preferably in Java, Golang, C/C++, Python and/or Perl in a Linux environment
- Familiarity with distributed systems, asynchronous messaging, and network protocols
- Strong computer science fundamentals in data-structures and algorithms
- Strong knowledge of object-oriented design and system architecture
- Adept problem solving and troubleshooting skills
- Experience in taking a lead role developing complex software systems that have successfully been delivered to customers
- Demonstrated ability to mentor other software developers in all aspects of their engineering skill sets
- Experience in communicating with users, other technical teams, and senior management to collect requirements, describe software product features, product strategy and influence outcomes in technical decision-making
- Knowledge of major protocols, topology design, network hardware and device configuration
- Solid understanding of performance and efficiency with a strong customer focus
- eBPF knowledge and hands on eBPF experience is a strong plus
- Experience working on Linux kernel or any other operating system is a plus
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