5+ years of experience in low-level systems and embedded software for high-performance computing.
Hands-on experience with Linux-based systems, including kernel and driver debugging; SoC/silicon bring-up is a plus.
Expertise in C and C++, with proficiency in Python and Bash/Shell; Rust experience is advantageous.
Comfortable interfacing with hardware and using debugging tools like JTAG and oscilloscopes.
Strong technical communication skills to convey complex concepts clearly.
BS or MS in Electrical Engineering, Computer Science, or a related field.
Responsibilities
Lead requirements gathering, design, and development of system-level services for AI inference platform software.
Support cross-functional engineering teams in platform software validation and bring-up.
Collaborate with hardware and silicon teams on firmware, bootloaders, and device drivers.
Optimize system-level performance and power across the AI inference platform.
Work with low-level interfaces such as PCIe, I2C, SPI, and JTAG.
Occasional travel to partner or customer sites may be required.
Benefits
Opportunity to work on cutting-edge AI inference technology.
Collaborative environment with cross-functional teams.
Exposure to both hardware and software development processes.
Potential for professional growth in a fast-paced startup culture.
Full Job Description
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 debugging, profiling, 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 partner closely with the hardware, silicon, and validation teams to deliver robust, production-quality platform software. 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. Occasional travel (e.g., to partner, customer, or contract manufacturer sites) may be required but is not mandatory.
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.
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, 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, silicon, and software 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.
