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Senior Software Engineer, Machine Learning Inference
Build and optimize NVIDIA’s TensorRT and TensorRT-LLM inference engines in C++/CUDA to accelerate large language models on GPUs.
Senior Product Manager - AI Platform Inference
Lead product strategy for NVIDIA’s AI inference tools and SDKs, collaborating with developers to optimize GenAI deployments on GPUs.
Software Engineer, CUDA Deep Learning Systems
Develop and optimize CUDA-based deep learning systems, designing custom kernels and distributed AI pipelines to maximize GPU performance for training and inference workloads.
Senior Deep Learning Algorithm Engineer
Senior engineer optimizing NVIDIA’s open-source Dynamo inference platform, integrating vLLM/SGLang/TensorRT-LLM and pushing AI latency/throughput benchmarks.
Principal AI Architect
Principal AI Architect defines next-gen AI infrastructure architectures, including GPU clusters, inference platforms, and multi-cloud AI deployments, while guiding networking and automation strategies for enterprise-scale AI systems.
Founding Software Engineer (Backend, Cloud & AI Infrastructure)
Build backend, cloud and edge-to-AI infrastructure for a Berlin deep-tech startup that applies AI to textile manufacturing.
Senior Machine Learning Engineer, AI Performance
Senior ML engineer optimizes PyTorch models for edge deployment, iterating from training to production-ready releases under tight latency and memory constraints for autonomous-vehicle systems.
Senior Machine Learning Engineer, AI Performance
Senior ML engineer optimizes PyTorch models for real-time, on-vehicle deployment, using quantization and distillation to meet tight latency and memory constraints.
AI Software Developer
Build and deploy AI-powered transport applications using LLMs, computer vision, and agentic systems to optimize Singapore’s land transport network.
Senior Forward Deployed Engineer I (AI Inference)
Senior engineer embeds with AI startups to deploy and optimize large LLM inference workloads on DigitalOcean’s GPU cloud, reducing latency and cost via distributed systems and open-source frameworks.
Senior ML/AI Engineer
Build and deploy ML models for object detection and image enhancement on embedded platforms for AR helmets, drones, and robots used in defense and first-responder scenarios.
FullStack Member of Technical Staff II
Senior full-stack engineer building AI-powered systems for cloud and edge devices, integrating computer vision, NLP, and multimodal models into production-ready solutions for mission-critical applications.
[ML Application] MLOps Engineer
Build and operate MLOps pipelines for enterprise AI that runs on-prem and air-gapped factory floors, handling model training, versioning, serving, monitoring, and safe rollouts across GPU and edge devices.
[ML Application] ML Engineer (Computer Vision)
Build and deploy computer-vision models for factory inspection lines, tuning cameras and lighting, training detectors, and running real-time inference on edge devices.
AI Computer Vision Engineer
Develops and optimizes AI models for real-time identity verification, facial recognition, and object detection, deploying them across embedded, edge, and cloud systems.