Junior Systems Engineer

Tenstorrent in Toronto, Ontario

The Tenstorrent team combines technologists from different disciplines who come together with a shared passion for AI and a deep desire to build great products. We value collaboration, curiosity, and a commitment to solving hard problems. Find out more about our culture .

Tenstorrent is looking for new graduates and junior engineers to join our team. We know junior engineers want to explore different areas and expand their skill sets. At Tenstorrent you will have the chance to accelerate your career by working on challenging engineering problems with a dedicated mentor and the potential to move between the system engineering, digital design, verification, firmware, and software teams.

Locations:
Toronto, Ontario

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
    • Architecture exploration and modeling
    • Occasional verification of Tenstorrent's IP and SOC logic, using advanced verification methodologies –UVM, FPGA prototyping, and emulation
    • Performance and power verification and validation of Tenstorrent's IP and SOC
    • Runtime firmware and low-level software implementation
    • Benchmark and analyze performance optimizations for key machine learning algorithms across Tenstorrent hardware and software stack
    • Development of frameworks for automating post-silicon verification, data analysis and debug
    • Support board/system design and debug
    • Interest and knowledge of processor/computer architecture
    • Interest and knowledge of the full ASIC design flow, including design, verification, synthesis, P&R
    • C/C++ as well as scripting languages (C, C++, Python, Perl, tcl)
    • Experience with high frequency logic design, scalar and vector processor architecture, GPU architecture and programming models, digital signal processing hardware, SoC architecture, memory sub-system architecture, real time hardware/firmware systems and PCB design is very beneficial
    • Knowledge of Hardware Description Languages (Verilog/VHDL)
    • Understanding of deep learning concepts and familiarity with popular machine learning frameworks and models
    • Strong analytical and problem-solving skills
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