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Aiko Schurmann | Software Engineer
Low-level software engineer focused on systems, compilers, and efficient software in C and Zig.
|
83 % |
|
Aeternit | AI & Software Systems Engineering Platform
AI & Software Systems Engineering Platform - Deep intelligence news and high-end software solutions.
|
82 % |
|
Lucid RF — Next-Gen RF & EM Design, Powered by Cloud and AI
An AI-native electromagnetic design engine that takes RF engineers from spec to solution in minutes, not days. Intelligent synthesis, cloud-parallel full-wav...
|
82 % |
|
The Holy Grail — A Field-First Mastery Book on Modern ML Systems
A field-first mastery book on modern ML systems
|
82 % |
|
Samuel Reeder — Software Engineer · ML Systems & GPU Computing
Samuel Reeder is a software engineer and Associate Engineer at AMD focused on ML systems, GPU computing, benchmarking infrastructure, graph APIs, and numeric...
|
82 % |
|
Michael Hirschmugl — Embedded & FPGA Engineer
Embedded Systems & FPGA Engineer. C/C++, ARM, RISC-V, HW/SW co-design, hardware-efficient ML.
|
82 % |
|
tiny compute research
Independent AI research lab. Training competitive models on minimal compute. Efficient architectures, open source weights, reproducible results.
|
82 % |
|
Huzaifah Bin Wasim — Machine Learning Engineer
Machine learning engineer specializing in generative AI, reinforcement learning, and robotics. Georgia Tech MS CS. Builder of a 264K-node legal knowledge gra...
|
82 % |
|
Holland Hargens — Computer Engineer
Computer engineering graduate from UW–Madison working across FPGA bring-up, bare-metal firmware, ML pipelines, and LLM-backed backend services. Open to new g...
|
82 % |
|
Embedded Coding
A blog about embedded software and firmware development, electronic hardware design, microcontrollers, ARM processors and single board computers.
|
81 % |
|
Karim Ghaddar
|
81 % |
|
Ryan Nguyen - Portfolio
|
81 % |
|
John L'Amoreaux | Hardware & Embedded Systems Engineer
Portfolio of John L'Amoreaux — FPGA design, semiconductor research, embedded systems, and software engineering.
|
81 % |
|
Invecture Labs — Applied AI & HPC Engineering
Invecture Labs builds pragmatic, high-performance AI and HPC solutions: cloud-native architectures, storage performance engineering, and MLOps acceleration.
|
81 % |
|
StatorLabs | Precision Engineering
We build high-fidelity digital infrastructure for firms that treat software as their primary competitive leverage.
|
81 % |
|
FHEnc | Hardware-Accelerated FHE Silicons, NTT Coprocessors & High-Bandwidth Memory
Deep technical reference for hardware FHE acceleration: custom ASIC architectures, pipelined Number Theoretic Transform (NTT) datapath, HBM3e memory bandwidt...
|
81 % |
|
Omar Mohammed
Electrical engineering student at Syracuse University working in digital design, firmware engineering, and embedded systems. FPGA, PCB design, C/C++.
|
81 % |
|
Deepansh Sabharwal
Deepansh Sabharwal, Computer Engineering at UBC. Embedded systems, edge ML, RTL, analog signal correction. Co-op terms from January 2027.
|
81 % |
|
AppZed — Multi-Vendor AI Compute Orchestration & GPU Mesh
AppZed orchestrates generative AI models across heterogeneous GPU clusters, optimizing token throughput, inference latency, and hardware utilization.
|
80 % |
|
Principal Software Engineer | Liebenow Studios
|
80 % |
Detected social media networks