Search the 9 jobs at Untether AI

The Staff Pre-Silicon Firmware Engineer will work on low-level embedded firmware for AI chips, influencing architecture, developing firmware interfaces, and maintaining documentations. They will mentor junior engineers, integrate routines into systems, and validate products pre-and post-silicon. Responsibilities include collaborating with cross-functional teams, enhancing development tools, and debugging issues in a lab environment.

The RTL Designer will design, implement, and verify custom hardware architectures for ASICs and FPGAs. Responsibilities include coding RTL modules, performing simulations and testing, and applying Agile methodologies to hardware design processes. Strong communication and problem-solving skills are essential.

Join Untether AI as a Staff Layout Design Engineer to develop cutting-edge custom memory and digital layouts utilizing non Von Neumann techniques. Collaborate with circuit designers, design custom standard cell layouts, and optimize for process variation. Enjoy perks like vacation days, health benefits, and stock options.

Join Untether AI as an AI Applications Engineer to support customers with SDK for custom AI accelerator devices. Collaborate with data scientists to ensure efficient AI workloads on Untether AI products. Must be a US citizen. Requires 5 years of applications engineering experience.

Seeking an experienced Compiler Engineer to develop software that maps neural nets onto hardware, implement data layout strategies, and work on efficient mappings for accelerator hardware. Collaborate with algorithm design and architecture teams to evaluate hardware architecture for future products.

This role involves developing scaleout solutions for AI technologies, collaborating with teams to define product offerings, understanding customer needs, and proving out solutions with hardware. Key responsibilities include creating orchestration software and being innovative within cross-functional teams.

The Neural Network Optimization Engineer will design, develop, and optimize neural networks on AI accelerator hardware. This includes understanding performance bottlenecks, working with customers and cross-functional teams to resolve challenges, and providing feedback for product improvement. The role also involves implementing low-level C++ programs for neural net operations and ensuring effective use of technology for customers.

As a Senior Staff Design Verification Engineer, you will verify custom hardware designs by developing verification plans, maintaining verification environments, and executing test cases. You will collaborate with design engineers to ensure functionality and performance requirements are met.

The Neural Network Development Lead will design and develop neural networks for the Model Garden and customers, manage project teams, and optimize code performance while communicating with cross-functional engineering teams. This role involves hands-on development of kernels for neural net operations, requiring creative problem-solving in a structured environment.