AI/ML Infrastructure Engineer
Hybrid (San Francisco, CA)$150k - $240kFull-timePosted 10mo ago
About the role
Zensors is the spatial intelligence platform for the physical world. Our AI platform provides real-time insights from video data to help organizations make smarter operational decisions. The AI Infrastructure team builds the engine powering the visual sensing platform, automating the lifecycle of AI workflows across thousands of video streams.
Responsibilities
- Optimizing Core ML Pipelines: Identifying bottlenecks in the current video analytics pipeline and analyzing performance on server and edge compute architectures.
- Cross-Stack Collaboration: Working with AI research and platform engineering teams to optimize core parallel algorithms and influence next-generation inference infrastructure.
- Model Acceleration: Applying techniques such as quantization (Int8/FP16), pruning, and layer fusion to Vision Transformers (ViTs) and CNNs to maximize throughput and minimize latency.
- Building Efficient Operators: Writing custom optimized ML operator libraries across the ML framework/compiler stack (e.g., PyTorch, CUDA, TensorRT, NVIDIA DeepStream).
- Resource Efficiency: Reducing compute cost per video stream to enable massive SaaS scalability.
- Data Management: Building and maintaining systems to facilitate data collection, labeling, and use of visual data for ML training.
Qualifications
- BS/MS or Ph.D. in Computer Science, Electrical Engineering, or related discipline.
- Strong programming skills in C/C++ and Python.
- Experience with model optimization, quantization, and efficient deep learning techniques (e.g., knowledge distillation, pruning).
- Deep understanding of GPU hardware performance, including execution models, thread hierarchy, memory/cache management, and video processing cost/performance trade-offs.
- Experience with profiling and benchmarking tools (e.g., Nsights Systems, Nsight Compute).
- Experience identifying and resolving compute and data flow bottlenecks in high-bandwidth video processing pipelines.
- Strong communication skills and cross-functional collaboration abilities.
Skills
Required:C/C++PythonModel optimizationGPU performance and video processingProfiling/benchmarking tools
Last updated Jun 5, 2026. Interested? Apply on the company site.
About Zensors
AI to understand and automates the physical world
aiopsartificial-intelligence
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