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.
Tensordyne is an equal opportunity employer. We believe that a diverse team is better at tackling complex problems and coming up with innovative solutions. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Skills Required
- 5+ years developing low-level systems and embedded software, firmware, and tooling for high-performance/data-center systems, including diagnostics and manufacturing support
- Hands-on experience bringing up and debugging Linux-based systems at kernel and driver level, embedded Linux, device drivers, and/or RTOS environments
- SoC/silicon bring-up experience
- Expert programming in C and C++
- Proficiency in Python, Bash/Shell, Tcl/Expect (scripting/tooling); Rust experience a plus
- Experience with bootloaders, BSP development, firmware, and Linux kernel modules
- Experience interfacing directly with hardware; reading schematics and datasheets; debugging with JTAG, logic analyzers, oscilloscopes
- Familiarity with low-level interfaces such as PCIe, I2C, SPI, and JTAG
- Familiarity with AI inference frameworks and data center deployment/management environments
- BS or MS in Electrical Engineering, Computer Science, or related technical field
- Ability to travel to contract manufacturer sites as needed to support test station bring-up and troubleshoot production failures
- Excellent technical communication skills and ability to work across hardware, software, and manufacturing teams
What We Do
Every leap in AI has followed the same pattern: first we made models bigger, then we tailored them, and now we let them think longer. Each step (scaling law) truly adds intelligence. But in the end we land on the same runway: inference, and demand is exploding while power supply lags. We asked: what if the next step isn’t stacking another law on top, but a zeroth law beneath them all. A law that changes AI math. Because after all, AI is math, trillions of multiplies, and multiplication burns watts. Tensordyne uses logarithmic compute to turn multiplies into adds, cutting power at the root. We’ve cast our proprietary logarithmic math into custom silicon, hardware, interconnect, and system software. The result: one integrated system for multimodal GenAI inference designed for Hyperscaler and Neo Cloud data centers. What this means for our customers: With Tensordyne they can run the world’s largest multimodal models for thousands of users, with fewer racks, less power, and lower cost. We’re well-funded and fast-moving, with co-headquarters in Sunnyvale, California and Munich, Germany, and a distributed team across North America and Europe. Join us to change how the world runs Gen AI.
