Sr. Staff Engineer, IP Runtime

An expert C or C++ engineer with a track record of designing and delivering complex, performance-critical systems.

Experienced working close to hardware in low-level, embedded, bare-metal, or accelerator environments and translating hardware specifications into reliable software behavior.

Strong in runtime fundamentals, including command execution, scheduling, synchronization, memory movement, resource management, and parallelism.

Skilled at debugging and optimizing systems end-to-end, especially at the hardware/software boundary.

A technical leader who collaborates effectively across hardware, firmware, compiler, and systems teams and mentors other engineers.

Define the runtime architecture and implementation that controls execution, scheduling, synchronization, and resource management across Tenstorrent’s custom processor, accelerator, memory, and data-movement IP.

Build low-level runtime components that initialize hardware IP, dispatch work to processor and accelerator engines, coordinate dependencies, and manage resources efficiently.

Design runtime interfaces and data-movement paths that make memory access, synchronization, and execution efficient and predictable.

Analyze bottlenecks across the runtime and hardware/software stack, then drive improvements in latency, throughput, scalability, and reliability.

Influence the direction of the runtime stack, engage directly with customers and field-facing teams, and translate real-world workload needs into runtime improvements while remaining hands-on with design, coding, performance analysis, bring-up, and debugging.

How runtime software exposes and controls custom silicon IP, from hardware initialization and execution control through bring-up, performance analysis, and optimization.

How custom silicon IP blocks—including RISC-V processor cores, accelerator engines, memory systems, data-movement logic, and interconnects—work together as a complete execution platform.

Advanced techniques for execution control, synchronization, scheduling, and performance optimization on massively parallel hardware.

How runtime and hardware co-evolve to improve model throughput, efficiency, and scalability.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.