Ask HN: Who wants to be hired? (July 2026)

Location: India Remote: Yes (Worldwide) Willing to relocate: Yes (Visa sponsorship / relocation welcome)

Technologies: C++, CUDA, Python, PyTorch, Linux, GPU Programming, Deep Learning Systems, AI Infrastructure, AI Inference, CUDA Kernels, Flash Attention, Autograd, SIMD, pybind11

GitHub: https://github.com/Plkmoi/NexusGrad Résumé/CV: https://drive.google.com/file/d/1yyu4JSCIXtHZ3H4WF-d2jN2z-pC... Email: narataab01@gmail.com

I'm an engineer focused on deep learning systems and AI infrastructure.

Over the past few years I've been building NexusGrad, a deep learning framework written from scratch in modern C++ and CUDA to better understand how frameworks like PyTorch work internally.

The project includes: • Custom tensor library (CPU/CUDA) • Reverse-mode automatic differentiation • Explicit computational graph runtime • CUDA kernels for tensor operations and attention • Flash Attention • ALiBi attention • Transformer components • AVX2/OpenMP CPU kernels • pybind11 Python bindings • Numerical verification against PyTorch using finite-difference gradient checking

I'm interested in roles involving AI model optimization, LLM inference, deep learning runtimes, AI infrastructure, CUDA development, GPU software, distributed training/inference systems, and performance engineering.

Happy to work remotely worldwide or relocate with visa sponsorship.

Location: Raleigh, NC, USA Remote: Yes Willing to relocate: Yes

Technologies:

Machine Learning / AI: Python, PyTorch, TensorFlow/Keras, Transformers, Diffusion Models, Time-Series Modeling, Computer Vision, Anomaly Detection, Open-Set Recognition, Model Evaluation, Experiment Tracking, Statistical Learning

Generative AI / LLMs: RAG, Retrieval Systems, Embedding Search, Agentic Workflows, LLM Evaluation, Prompting, OpenAI APIs, Hugging Face, LangChain-style Prototyping

Software Engineering: Python, C++, TypeScript, Kotlin, FastAPI, REST APIs, PostgreSQL, MongoDB, Data Processing Pipelines, Distributed Systems, Reproducible ML Infrastructure

Computer Vision / Scientific Computing: OpenCV, Image Registration, Motion Compensation, Segmentation, Image Reconstruction, Signal Processing, Scientific Imaging

Infrastructure / MLOps: Docker, GitHub Actions, CI/CD, Monitoring, Runtime Tracing, Performance Analysis, Cloud-Based ML Workflows

Résumé/CV: https://shorturl.at/59Qfy LinkedIn: https://www.linkedin.com/in/monish-erode-sridhar-7a1b16198/ Email: [monish2work@gmail.com]

M.S. Computer Science student at North Carolina State University, GPA 3.83/4.0, GSSP Fellow, with experience across machine learning, software engineering, computer vision, ML infrastructure, generative AI, scientific computing, and applied data science.

I have built large-scale ML pipelines, experiment-tracking platforms, model-evaluation systems, anomaly-detection workflows, and reproducible ML infrastructure for real-world time-series and imaging data. My work includes computer-vision pipelines for fluorescence microscopy, confidence-aware time-series classification, diffusion/transformer-based scientific imaging research, and real-time wearable-sensor ML for Samsung Galaxy Watch.

I am especially interested in roles where I can build production-grade AI systems: applied ML, AI engineering, backend/data infrastructure for ML, computer vision, LLM/RAG systems, agentic AI tools, data science, and model evaluation platforms.

Interested in: Software Engineer, Machine Learning Engineer, AI Engineer, Applied Scientist, Data Scientist, Computer Vision Engineer, Generative AI Engineer, and ML Infrastructure roles. Open to startups and larger companies.

  Location: Detroit, Mi
  Remote: Yes, but open to onsite 
  Willing to relocate: Yes
  Technologies: Python, C++, JavaScript (React, some Typescript, Node.js), Java, 
  Résumé/CV: https://www.linkedin.com/in/nasir-sharaf/
  Email: nsrsharaf7 [at] gmail.com

Hello, My name is Nasir Sharaf, I am currently looking for a software developer engineer role, or any adjacent role such as MLOps, Data Engineering, Data Science, etc. I have a master's in computer science and roughly 4 years of experience as a developer. Prior to that I was an energy engineer for 3 years and I also have a bachelors in mechanical engineering. I'm willing to relocate for the right role in the right place, I'm willing to work hybrid or remote and I have been applying to roles outside of just the Detroit area.