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38 Software Engineer Backend Jobs - September 2026 - Urgent Hiring
Showing 38 jobs results for
"software engineer backend"
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Undisclosed
Singapore
- Strategy Management and Optimization:
- Adaptive Tuning and Fault Diagnosis:
- Cost-Efficiency Balance: ...
Posted
18 hours ago
Undisclosed
Singapore
- Design and develop resource scheduling systems for machine learning platforms, supporting model training, evaluation, and inference workloads across domains such as NLP, Computer Vision (CV), and Speech.
- Optimize the orchestration and scheduling of heterogeneous computing resources, including GPUs, CPUs, and other specialized accelerators, to maximize the utilization of dedicated, opportunistic (spot), co-located, and multi-cloud resources.
- Develop scheduling solutions that optimize the allocation of compute resources, RDMA high-speed networking, and storage resources, enabling large-scale distributed clusters to achieve maximum performance and efficiency. ...
Posted
20 days ago
Undisclosed
Singapore
- Design and develop resource scheduling systems for machine learning platforms, supporting model training, evaluation, and inference workloads across domains such as NLP, Computer Vision (CV), and Speech.
- Optimize the orchestration and scheduling of heterogeneous computing resources, including GPUs, CPUs, and other specialized accelerators, to maximize the utilization of dedicated, opportunistic (spot), co-located, and multi-cloud resources.
- Develop scheduling solutions that optimize the allocation of compute resources, RDMA high-speed networking, and storage resources, enabling large-scale distributed clusters to achieve maximum performance and efficiency. ...
Posted
2 days ago
Undisclosed
Singapore
- Design and develop resource scheduling systems for machine learning platforms, supporting model training, evaluation, and inference workloads across domains such as NLP, Computer Vision (CV), and Speech.
- Optimize the orchestration and scheduling of heterogeneous computing resources, including GPUs, CPUs, and other specialized accelerators, to maximize the utilization of dedicated, opportunistic (spot), co-located, and multi-cloud resources.
- Develop scheduling solutions that optimize the allocation of compute resources, RDMA high-speed networking, and storage resources, enabling large-scale distributed clusters to achieve maximum performance and efficiency. ...
Posted
18 hours ago
Undisclosed
Singapore
- Responsible for the iteration of the underlying architecture of the large model inference engine and end-to-end GPU performance optimization, through means such as operator fusion and compilation optimization, deeply optimizing GPU memory access, computing pipeline, and Stream asynchronous scheduling, eliminating inference computing bottlenecks, improving single-card inference throughput, and reducing inference latency.
- Adapt to all series of GPU/NPU hardware architectures, refine the universality of the inference engine and hardware adaptability, and build a high-performance, low-loss underlying base for large model inference.
- Lead the design, development, and optimization of distributed parallel solutions for large model inference scenarios, with a focus on implementing multi-dimensional parallel strategies such as tensor parallelism (TP), pipeline parallelism (PP), sequence parallelism, and MoE expert parallelism, to address core issues such as multi-card splitting and deployment of ultra-large models, high cross-card communication overhead, load imbalance, and low parallel efficiency. ...
Posted
20 days ago
Undisclosed
Singapore
- For training track, develop the Volcano Ark training platform, enabling both internal and external users to perform serverless post-training (e.g., Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL)) on the Ark platform.
- Design elastic training solutions for complex multi-tenant workloads, supporting mixed-tenant training across multiple data centers and heterogeneous hardware while optimizing training throughput, resource utilization, and system stability.
- Build next-generation reinforcement learning infrastructure to improve training efficiency, while designing intuitive and developer-friendly APIs for RL training workflows. ...
Posted
20 days ago
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