Senior Embedded Engineer, AI IP

Tenstorrent$100K — $130K *
Telecommunications & Hardware
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years experience in drivers or low-level systems programming
  • Strong proficiency in C and C++
  • Understanding of hardware-software interfaces
  • Experience with Linux kernel concepts
  • Experience collaborating with external customers or partners
  • Exposure to safety-critical systems or automotive platforms is a plus

Responsibilities

  • Design and evolve the driver layer for high-performance APIs
  • Define driver interfaces and specifications for software stack compatibility
  • Collaborate with kernel and hardware teams for optimal design
  • Drive benchmarking, profiling, and optimization of APIs
  • Support external integrations by defining hardware-software boundaries

Benefits

  • Hybrid work model based in Toronto, ON
  • Welcome candidates at various experience levels
  • Opportunities for learning about high-performance AI hardware
  • Experience in safety-critical and mission-critical systems
  • Access to a competitive compensation package
Full Job Description
We are seeking s Software Driver Developer to create reference drivers for our AI-IP in a reference system. You will also support our AI-IP customer optimizing our reference driver into our customer specific systems. This role ishybrid, based out of Toronto, ON. 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. Who You Are • Deep systems engineer with 7+ years experience in drivers or low-level systems programming. • Strong proficiency in C and C++ with solid understanding of hardware-software interfaces. • Familiar with Linux kernel concepts and how kernel and user-space components interact. • Experience working with external customers or partners to define and support driver or hardware interfaces. • Exposure to safety-critical systems, automotive platforms, or Functional Safety standards such as ISO 26262 is a strong plus. What We Need • Design and evolve the driver layer that provides high-performance APIs for Tenstorrent devices. • Define driver interfaces and specifications that enable the broader software stack to run across internal and third-party hardware. • Collaborate with kernel and hardware teams to ensure efficient cross-layer design and performance. • Drive performance engineering efforts, including benchmarking, profiling, and optimization of APIs. • Support external integrations by defining hardware-software boundaries and enabling reliable deployment in customer environments, including safety-critical use cases where applicable. What You Will Learn • How user-mode and kernel-level drivers are designed for high-performance AI hardware. • How hardware-software interfaces are defined to support scalable and portable systems. • How performance is optimized across memory, compute, and communication layers. • How third-party hardware integrations are enabled through well-defined driver and interface layers. • How safety and reliability requirements influence modern driver architecture, including in automotive and mission-critical systems. Tenstorrent offers a highly competitive compensation package and benefits.

About Tenstorrent

Tenstorrent is a semiconductor company that designs and develops computer processors for artificial intelligence and machine learning applications. The company's processors are designed to be energy-efficient and scalable, and are used by a range of businesses, from small startups to large enterprises. Tenstorrent was founded in 2016 and is headquartered in Toronto, Ontario.
Learn more about Tenstorrent
Size
51 employees
Industry
Founded
2016

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