System Software / Embedded Engineer, Diagnostics (Sunnyvale)Location: This is an on-site role based in Sunnyvale, CA (required), with flexible office hours.
ResponsibilitiesThe 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.
