System Software/Embedded Engineer (Diagnostics)

System Software / Embedded Engineer, Diagnostics (Sunnyvale)

About Tensordyne

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. While we have many talented team members working remotely across North America and Europe, this particular role is based on-site in Sunnyvale.

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! Location: This is an on-site role based in Sunnyvale, CA (required), with flexible office hours.

Responsibilities

The role will require you to join Tensordyne's Platform Software team to lead requirements gathering, design, and development of system-level services, tools, and supporting tests for Tensordyne's AI inference platform software, including diagnostics, debugging, and analysis capabilities. The successful candidate will support cross-functional engineering teams in the bring-up and validation of platform software on AI inference systems, and work closely with Tensordyne's manufacturing test team to integrate platform tooling into production test scripts and manufacturing diagnostics packages. You will work close to the hardware on firmware and board bring-up, bootloaders and BSP development, device drivers, and Linux kernel modules, collaborating directly with the silicon and hardware teams on hardware/software co-design.

The role also involves system-level performance and power optimization across the AI inference platform, working with low-level interfaces such as PCIe, I2C, SPI, and JTAG.

Required Qualifications

• 5+ years of experience developing low-level systems and embedded software, firmware, and tooling for high-performance computing systems deployed to data center customers, including diagnostics and manufacturing support.
• Hands-on experience bringing up and debugging complex Linux-based systems at the kernel and driver level, including embedded Linux, device drivers, and/or RTOS environments; experience with SoC/silicon bring-up is highly desirable. Familiarity with AI inference frameworks and data center deployment/management environments is preferred.
• Expert programming experience in C and C++, with proficiency in Python, Bash/Shell, Tcl/Expect, and/or related programming languages. Rust experience is a plus. Comfortable interfacing directly with hardware, reading schematics and datasheets, and debugging with tools such as JTAG, logic analyzers, and oscilloscopes.
• 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.