Senior AI Hardware Architect

Senior AI Hardware Architect – ML Accelerators | Next-Gen Edge & Cloud AI Systems Location: Remote (EU Passport required) Type: Full-Time | Contract Domain: AI Hardware - ASIC/SoC Design - ML Acceleration - Edge AI

About Us We’re partnering with a cutting-edge AI research and product team that’s building the next generation of custom silicon and systems for AI workloads — powering real-time intelligence across edge devices, games/simulations, and cloud AI platforms. We’re hiring a Senior AI Hardware Architect to lead the design and optimization of ML accelerators, pushing the limits of performance, power, and flexibility.

What You’ll Do

• Architect and design AI-specific chips (ASIC/SoC) optimized for deep learning workloads (training + inference)
• Drive hardware-software co-design strategies to improve latency, throughput, and energy efficiency
• Work across teams (hardware, compiler, software, research) to define hardware requirements for LLMs, RL agents, or multi-modal models
• Lead architecture decisions for edge AI, low-power devices, and/or real-time simulation
• Mentor and grow a technical team in AI hardware innovation

What We’re Looking For

• 8+ years in chip design, hardware architecture, or ML hardware systems
• Deep experience with AI/ML accelerators, ASIC/FPGA design, or SoC-level architecture
• Solid understanding of DL model execution (e.g., transformers, CNNs, LSTMs) and how to optimize them on silicon
• Experience with compiler/hardware stacks (e.g., TVM, MLIR, Vitis AI, CUDA, OpenCL, Verilog, RTL)
• Proven ability to lead architecture or technical roadmaps
• Background in edge AI, AR/VR hardware, robotics, or gaming/simulation
• Publications or patents in AI hardware or co-design