OCBridge · 1 day ago
Bilingual Large Model Training Acceleration Engineer
San Francisco Bay Area
Full-time
Onsite
Mid, Senior Level
$137K/yr - $360K/yr
3+ years expOCBridge is an AI platform engineering group focused on large-scale model training systems and performance acceleration. They are seeking a Bilingual Large Model Training Acceleration Engineer to optimize training pipelines and improve efficiency for generative and multimodal models in distributed environments.
ConsultingHuman ResourcesRecruiting
Responsibilities
Optimize large model training pipelines for performance and scalability
Design and improve distributed training systems
Implement and tune data, model, and pipeline parallelism strategies
Benchmark and profile training workloads to identify bottlenecks
Improve GPU utilization and training throughput
Collaborate with infrastructure and research teams on large-scale training systems
Build performance tooling and optimization frameworks for training acceleration
Qualification
Required
Bachelor's, Master's, or PhD in Computer Science, AI, Electrical Engineering, or related field
3–10 years of experience in deep learning systems or large model training
Strong experience with distributed training optimization
Hands-on experience with parallel training methods:
Data parallelism
Model parallelism
Pipeline parallelism
Strong software engineering skills in Python and C++
CUDA and GPU performance optimization experience
Experience with deep learning frameworks such as PyTorch
Experience with large model toolchains such as Megatron or DeepSpeed
Familiarity with transformer and diffusion models
Experience with benchmarking and profiling tools
Mandarin Chinese proficiency required
Preferred
Experience in generative AI or computer vision training systems
Experience building large-scale training infrastructure
Experience with high-performance distributed compute environments
Benefits
Equity and additional benefits may be included
Company
OCBridge
OCBridge is a leader in AI-powered recruitment, delivering talent with unmatched speed, accuracy, and scale.
51-200 employees
H1B Sponsorship
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Funding
Current Stage
Growth StageLeadership Team
Kirby Deng
Founder and CEO
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