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Technical Project Manager
Technical Project Manager bridges software and hardware teams in autonomous defense systems, translating field tests into engineering tasks and championing AI tooling while managing complex multi-disciplinary projects.
Middle Embedded Vision Integration Engineer
Middle Embedded Vision Integration Engineer builds and integrates camera, sensor, and video pipelines for UAV platforms under real-time and hardware constraints, using embedded Linux, C++, and flight stacks like ArduPilot/PX4.
Staff Software Engineer, GPU Inference
Build and optimize Cerebras' GPU-based AI inference stack, integrating vLLM, ROCm, and AMD GPUs to deliver ultra-low-latency, high-throughput LLM serving for production workloads.
ML engineer
Develop and integrate ML solutions for a classifieds platform, focusing on content moderation, product scoring, and recommendation systems using PyTorch, computer vision, and cloud infrastructure.
Senior ML Engineer
Senior ML Engineer builds and integrates computer-vision and recommendation systems for a classifieds platform, using PyTorch, Kubernetes, and cloud infrastructure.
AI Research Engineer
Research and develop cutting-edge face-recognition AI models for Suprema’s biometric solutions, optimizing performance for edge and server deployments using TensorRT/ONNX and NPU targets.
Senior Computer Vision Engineer (Embedded / Jetson)
Senior Computer Vision Engineer builds and deploys real-time video analytics models on NVIDIA Jetson edge devices for public transport and smart city applications using PyTorch, TensorRT, DeepStream, and GStreamer.
ML Engineer
Develops and optimizes AI models for satellite and aerial imagery using generative techniques like Diffusion and GANs, focusing on super-resolution and image translation, and deploys them in on-premise GPU environments.
Machine Learning Engineer, AI Labs
Build and deploy high-performance AI models for cloud security at a market-leading SASE company, optimizing LLMs for latency and throughput using frameworks like vLLM and SGLang.
Sr. Data Engineer - Services Special Projects
Designs and builds real-time, multimodal data pipelines that enrich raw data with ML models to power Apple’s customer-facing services at massive scale.
Machine Learning Engineer
Build and scale the AI/ML backbone for autonomous defense systems, including training pipelines, synthetic data generation, and real-time edge inference on embedded hardware.
Embedded Autonomy Engineer
Develops and optimizes Linux-based embedded systems for autonomous defense platforms, integrating high-bandwidth sensors and real-time AI inference on NVIDIA Jetson hardware.
Software Engineer (Model Inference)
Build and optimize AI model inference systems to serve millions of users with low-latency GPU workloads using frameworks like vLLM or Triton.
Senior Systems Software Engineer, Windows and Linux Enablement - DGX Station
Own full-stack OS enablement for NVIDIA’s DGX Station AI workstation, ensuring seamless Windows and Linux support from firmware through AI application validation.
Applied Agentic AI Lead, Partner Co-Design
Lead co-design of production agentic AI systems with enterprise partners, building RAG, multi-agent, and LLM workflows on NVIDIA’s stack (NeMo, TensorRT-LLM) and shaping product roadmaps.
Software Development Engineer II - Amazon Robotics, Proteus AMR, Motion
Develops and deploys software for autonomous mobile robots, focusing on task planning, motion planning, and control systems using C++, TypeScript, and ML/AI in a large-scale robotics fleet.
Engineering Manager, Deep Learning Inference
Lead a team building and optimizing NVIDIA’s open-source deep learning inference frameworks (e.g., SGLang, vLLM) to deploy LLMs and generative AI efficiently on GPUs from datacenter to edge.
Senior AI Engineer - SFL Scientific
Senior AI Engineer designs, builds, and deploys AI infrastructure and ML applications for clients across industries, using cloud platforms, data engineering, and DevOps practices.
Machine Learning Engineer - Computer Vision & Robotics
Build and optimize AI models for robotics and computer vision, deploying them on edge devices for autonomous systems in defense and commercial sectors using PyTorch/TensorFlow and C++.