Take your engineering skills to the next level as a Senior Debug Engineer for AI systems at Tenstorrent, located in Toronto. Solve critical issues and enhance performance across our innovative AI hardware.
In this hybrid role, you will be vital in diagnosing, resolving, and streamlining hardware issues in Tenstorrent's AI accelerator platforms. You should have a solid experience in post-silicon debugging and leading collaborative efforts. Your ability to bridge gaps between silicon, firmware, and software will be essential for driving impactful solutions.
Key Responsibilities:
- Lead silicon and board-level debug efforts for the AI platform
- Develop diagnostic tools and scripts to accelerate issue resolution
- Conduct hands-on lab work, utilizing tools and analyzers
- Collaborate with cross-functional teams to improve product reliability
- Analyze and interpret schematics and system behavior data
Requirements:
- Proven experience in post-silicon debugging and validation
- Strong skills in Python and C programming languages
- Comprehensive understanding of hardware design principles
- Excellent teamwork and collaboration abilities
- Proficiency in using debug tools for hardware analysis
Join Tenstorrent to contribute your expertise to the realm of AI technology and shape the future of systems engineering.
Senior Debug Engineer for AI Systems in Toronto employer: Tenstorrent
At Tenstorrent, we pride ourselves on being an exceptional employer that fosters a culture of collaboration, curiosity, and innovation. Located in the vibrant city of Vancouver, Canada, our hybrid work environment allows for flexibility while working on groundbreaking AI technology. We offer competitive compensation, comprehensive benefits, and ample opportunities for professional growth, making it an ideal place for engineers eager to contribute to the future of AI/ML computing.
