Where the future of AI compute is being defined and built, to unlock new levels of machine intelligence.
Santa Clara, California
EnCharge AI is a leader in advanced hardware and software systems for AI computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions, at a fraction of the cost. The high-performance architecture is coupled with seamless software and will enable the immense potential of AI to be accessible in power -, energy-, and space-constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.
Remote · Canada, United States
The Staff Physical Design Engineer will drive block-level and top-level physical implementation, including floor-planning, placement, and routing. They will also manage timing closure, power grid verification, and collaborate with foundry teams to ensure successful tapeout.
Remote · United States, Canada, Germany, Norway
The role involves architecting and implementing optimizations for AI model execution on graph compilers to maximize hardware utilization and reduce latency. You will collaborate with hardware architects and researchers to convert high-level AI models into efficient intermediate representations for inference accelerators.
Remote · Canada, United States
The Lead DFT Engineer will architect the end-to-end testing strategy for complex SoCs, focusing on manufacturability and reliability for edge-to-cloud applications. This role involves leading post-silicon validation, collaborating with cross-functional teams, and implementing advanced test methodologies like MBIST and ATPG.
Remote · United States, Canada
Define and develop the specifications and micro-architecture for key NPU modules, including in-memory compute and memory orchestration units. Collaborate with hardware and software teams to optimize AI accelerator performance for workloads like LLMs and CNNs.
