We are seeking an experienced Senior Software Engineer to design and build platform-level tools for internal use and customers. The primary focus of this role is to develop and optimize low-level debugging and performance tools that provide insights into AI workloads (e.g., PyTorch) running on our custom silicon architecture, ensuring efficient troubleshooting and performance tuning. Your work will distill the complexity of the underlying hardware and software stack, allowing for seamless integration, introspection, and performance optimization.

This role is on-site, based out of Belgrade, Serbia

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Responsibilities:

• Develop, maintain, and enhance developer-facing tools to support debugging, performance monitoring, and introspection of AI workloads.
• Focus on low-level platform tools such as:
  • Introspection and Debugging: Creating tools to facilitate hardware inspection and control graph execution, including setting breakpoints at graph node levels.
  • Performance Monitoring and Profiling: High-speed data logging on silicon, analyzing execution traces to optimize performance.
• Work closely with hardware and compiler teams to provide feedback and improve system performance and tooling integration.
• Implement fine-grained control over system resources and execution, focusing on low-level hardware interaction without graphical or UI-based interfaces.
• Handle all phases of software development, from architecture and implementation to automated testing and documentation.
• Engage with end-users (engineers and developers), incorporating their feedback into tool design and implementation

Experience & Qualifications:

• A minimum of 3 years of related experience with a Bachelor’s degree in Computer Engineering or a related major, or 3 years with a Master’s degree, or equivalent work experience.
• Proficiency in C++ for low-level system programming.
• Familiarity with Linux-based tools and environments, including shell scripting, SSH, and performance monitoring.
• Experience with performance profiling, system introspection, and low-level debugging of hardware/software interfaces.
• Solid understanding of computer hardware architecture, multicore systems, and on-chip debugging.
• Basic knowledge of machine learning technologies, particularly how they map onto hardware.

Preferred Qualifications:

• Experience with RISC-V, multicore processors, or AI-specific hardware accelerators.
• Familiarity with tools such as GDB or JTAG for on-chip debugging and profiling.

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

Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set by the U.S. government.

As this position will have direct and/or indirect access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and supporting documentation will be required and considered as a condition of employment.

If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government. If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.