Lead Software Engineer - AI/ML Deep Learning & GPU ML Serving
Palo Alto, CA, United States
USD 179K-215K (estimate) Senior-level Full Time
Tasks
- Analyze and visualize large datasets
- Build scalable, low latency web services
- Collaborate with product and program management
- Create architecture and design artifacts
- Deploy and manage GPU workloads in Kubernetes
- Develop APIs
- Guide system design for reliability and scalability
- Identify data issues and patterns
- Lead software design and development
- Maintain production algorithms
- Optimize deep learning models for inference
- Quantize and batch models
- Troubleshoot production software
- Write secure production code
Perks/Benefits
- Backup childcare
- Financial coaching
- Health care coverage
- Mental health support
- On-site health and wellness centers
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
A/B | A/B Testing | APIs | AWS EKS | Amazon Elastic Kubernetes Service | Amazon SageMaker | Amazon Web Services | B testing | Batching | CUDA | CUDA optimization | CUDA performance optimization | Cassandra | Cloud platform | Deep learning | Docker | Elastic Kubernetes Service | GPU resource management | Google Cloud | Google Cloud Platform | Graph Neural Networks | Inference Server | Kubeflow | Kubernetes | Kubernetes Service | Low Latency | Low-Latency Systems | ML observability | MLflow | Machine Learning | Microservices | Model Monitoring | NetworkX | Neural Networks | NoSQL | Performance optimization | PyTorch | PyTorch Geometric | Python | Quantization | Resource Management | TensorFlow | TensorFlow Serving | Torchserve | Triton Inference | Triton Inference Server | Web Services
Roles
Engineer | Lead | Lead Software Engineer | Software Engineer
Regions
Countries
States
Cities
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