Hardware Design Engineer at elastix

Setup: Hybrid
Location: Seattle, Washington
Type: Full-time
Level: not_specified
Posted: Feb 19, 2026

Description

ElastixAI is seeking a Hardware Design Engineer to join their team in Seattle, WA. This hybrid role involves contributing to the design, definition, and implementation of an AI inference engine, focusing on optimizing hardware for ML workloads. The successful candidate will collaborate with ML, software, and cloud engineers to create a seamless hardware-software interface and drive the hardware roadmap for the inference engine.

Required Skills

Hardware Design
AI/ML Acceleration
LLMs
Sparsity
Quantization
Pruning
Verilog
SystemVerilog
Memory System Architecture
On-Chip Interconnects
Parallel Processing
Distributed Computing

Additional Information

Required Previous Experiences: 5+ years in hardware design, with a strong focus on designing/implementing hardware for AI/ML acceleration.
Preferred Qualifications: Knowledge of compiler technologies for AI models (e.g., MLIR, TVM).
Familiarity with performance modeling and analysis tools.
Experience with system-level integration and debugging.
Contributions to relevant research publications or open-source projects.
Understanding of cloud computing environments and deploying hardware accelerators in the cloud.
High-speed inter-chip networking experience