Jobs at Tensordyne

Design and develop system-level services, diagnostics, tooling, and tests for an AI inference platform. Support firmware and board bring-up, bootloaders, BSP, device drivers, Linux kernel modules, hardware/software co-design, and integrate tooling with manufacturing test and diagnostics. Work on low-level interfaces (PCIe, I2C, SPI, JTAG) and optimize system performance and power.

The Hardware Design Engineer will oversee hardware system development including schematics, PCB layout, and component selection while collaborating with various teams for product testing and validation.

Responsible for Design Verification Testing and sustaining of new hardware products, including creating test plans, debugging, and ensuring performance specifications are met.

The Staff Hardware Design Engineer will lead hardware system development for AI products, focusing on schematic design, PCB layout, compliance, and cross-team collaboration.

Lead ASIC verification for next-gen processors in AI inference. Oversee full verification cycle, mentor engineers, and establish methodologies.

Responsible for ensuring correctness of ASICs for AI applications, developing verification environments, debugging issues, and performing validation tests.

The Sr. Staff Hardware Design Engineer will oversee hardware system engineering for AI products, handle schematic capture and PCB design, and coordinate with teams for product compliance and validation.

Drive adoption of AI inference platform across large enterprises, own sales cycle, lead technical evaluations, engage executive stakeholders, and shape GTM strategy.

Develop and implement manufacturing test solutions for high-performance AI servers, focusing on automated testing, collaboration with teams, and debug analysis.

Lead EDA tools and DevOps systems for ASIC chip design at Tensordyne, focusing on enhancing EDA workflows and technical support for a global engineering team.

The role involves leading the development of AI inference compute products, engaging with partners and customers, and managing product strategies and performance metrics.

Lead ASIC architecture definition and design for AI processors, focusing on high-performance compute and generative AI solutions. Oversee design processes and mentor teams, ensuring functionality and performance standards.