Platform Software Engineer

Tensordyne•San Jose, CA

4d•Hybrid

About The Position

AI is transforming our world. It can perform cognitive functions that previously only humans could do, such as perceiving interactions across different modalities and environments - with the ability to quickly learn and then solve complex problems. Tensordyne is an AI system solution company that builds very high-performance, low-power generative AI inference systems. Our mission, through the creation of custom silicon, hardware and software, is to enable multimodal Generative AI inference acceleration at scale, with safe, sustainable, high-performance systems for our hyperscaler and neocloud data center customers. We are at the leading edge of advancing the latest research and product improvements for generative Al inference solutions that will make Al even more advantageous for compelling new generative AI applications.Tensordyne is a well funded, fast-paced startup company with headquarters in both Sunnyvale, CA, and Munich, Germany. We also have many talented team members working remotely across North America and Europe. We take care of our people and their families with comprehensive benefits, competitive compensation, flexible spending options, and recognition programs, because building category-defining technology starts with a healthy, supported team. Come join us as we shape the future of multimodal generative artificial intelligence!

Requirements

5+ years of experience developing low-level platform software tools and manufacturing diagnostics for high performance compute systems deployed to data center customers.
Expert programming experience in C++, Python, Bash/Shell, Tcl/Expect, and/or related programming languages.
Hands-on experience bringing up and debugging complex Linux-based systems.
Self-motivated, adaptable, and comfortable working across hardware, software, and manufacturing teams in a fast-paced startup environment.
Excellent technical communication skills, with the ability to clearly explain complex technical concepts and practical solutions.
BS or MS degree in Electrical Engineering, Computer Science, or a related technical field.
Travel to contract manufacturer sites, as needed, to support test station bring-up, troubleshoot production failures in the manufacturing environment.

Nice To Haves

A familiarity with AI inference frameworks and data center deployment/management environments is preferred.

Responsibilities

Lead the requirements gathering, ideation and creation of system level tests and tools for Tensordyne’s AI inference system diagnostics, debugging, and analysis software.
Support cross-functional engineering teams in the bring-up and validation of platform software on AI inference systems.
Work closely with Tensordyne’s manufacturing test team, to ensure that they can automate the system diagnostic tools and tests that you create, via production test scripts and manufacturing diagnostics packages.