AI Platform Support Engineer – APAC
Posted 3 hours ago
You'll complete your application on Lightning AI's career site.
About the Role
This platform focuses on optimizing the development cycle for machine learning, enabling teams to construct models and deploy applications that combine diverse tools into one seamless workflow. As an AI Platform Support Engineer located in the APAC time zone, you will serve as the primary link between the company's sophisticated infrastructure and its user base. Your focus will be helping engineering departments execute training and inference tasks, accelerating their development timelines from months to days. You will function as a subject matter expert, guiding users through intricate systems while ensuring the platform remains stable and high-performing. This position involves direct collaboration with internal networking and platform departments to facilitate structural enhancements. By clarifying complex technical issues into easy-to-understand solutions, you will support the expansion of machine learning operations.
Requirements
- Demonstrate a robust background in software engineering and systems troubleshooting, backed by hands-on experience running machine learning workloads in research or production settings.
- Possess technical expertise in containerization and Kubernetes, alongside comprehensive knowledge of Linux, covering networking, storage, and performance optimization.
- Show proficiency in distributed systems, cloud infrastructure, and GPU orchestration.
- Display practical experience with technologies such as NCCL, PyTorch, or CUDA, and proficiency in observability platforms like OpenTelemetry, Grafana, or Prometheus.
- Maintain excellent communication abilities to interact with highly technical user bases.
- Show an ability to thrive in rapid, uncertain environments while working collaboratively to address complex technical problems.
Responsibilities
- Collaborate with client engineering groups to identify and fix complicated issues involving distributed systems and machine learning infrastructure.
- Examine failures related to distributed training, GPU distribution, and Kubernetes orchestration, while addressing bottlenecks in PyTorch, inference serving, and CUDA.
- Serve as a technical consultant during system performance issues, utilizing metrics, logs, and traces to determine the underlying causes.
- Identify ongoing user trends to promote sustainable reliability and assist with post-incident analysis.
- Develop internal tools, author documentation and runbooks, and improve diagnostic processes to increase system visibility and operational efficiency.
Benefits & Perks
- Full medical, vision, and dental insurance for employees and their dependents.
- Equity participation via RSUs, plus 401(k) matching for U.S.-based staff and pension contributions for U.K.-based staff.
- Unlimited paid time off, standard and floating company holidays, and a two-week winter shutdown.
- Paid family and parental leave, along with a yearly stipend for learning, wellness, and home office costs.
- Four weeks of paid sabbatical after four years of employment, flexible working hours, and free meals at office locations.
Note: This listing is summarized and paraphrased by WorkNow from a publicly posted role. For the original wording and full details, please refer to the employer's official posting.
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