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Senior Embedded/Firmware Engineer

Acceler8 Talent
Fremont, CA, United States
Full-time

Sr. Embedded Software Engineer

Introduction Are you passionate about cutting-edge technology and looking to make a significant impact in the AI IoT landscape?

We are seeking a highly skilled Sr. Embedded Software Engineer to join our dynamic team. This is an exciting opportunity to work on revolutionary computing platforms with unique ReRAM-based in-memory computing technologies that aim to drastically reduce the energy consumption of AI processing.

About the Company

We are a fast-growing, well-funded startup on the forefront of innovation in computing platforms. Our unique computing memory device boasts multi-bit-level capacity per cell, offering nonvolatile memory with exceptional retention and endurance.

As part of our commitment to disrupting the AI IoT landscape, we are assembling a world-class IC design team dedicated to the development and deployment of groundbreaking software solutions.

About the Role

As a Sr. Embedded Software Engineer , you will play a pivotal role in the development and deployment of software solutions for our revolutionary computing system.

Your expertise will contribute to reducing the energy consumption of AI processing by two orders of magnitude over conventional digital solutions.

This is a unique opportunity to be at the forefront of technological innovation and make a tangible impact on the future of computing.

What We Can Offer You

We offer a very competitive compensation package, commensurate with experience, and a comprehensive benefits package that includes medical, professional PTO, 401k, and other perks.

The salary range for this position is $220,000 - $300,000. Additionally, we provide a stimulating work environment that fosters creativity and collaboration, and we are committed to the professional growth and development of our team members.

Key Responsibilities

  • Collaborate with a world-class IC design team to develop and deploy software solutions for our unique ReRAM-based in-memory computing technologies.
  • Reduce the energy consumption of AI processing by two orders of magnitude over conventional digital solutions.
  • Provide technical leadership to other members of the engineering team and work both independently and as a team player.
  • Ship products as an embedded software engineer, demonstrating a track record of successful product delivery.
  • Experience in one or more of the following areas is considered a strong plus :
  • Experience with ML compilers such as TVM, XLA, Glow, GGML as well as compiler frameworks such as MLIR.
  • Experience with the internals of ML frameworks and runtimes such as PyTorch, TF, TFLite, and TFLite Micro.
  • Experience with ML, working with edge light-weight AI models.
  • Publications or talks in top relevant conferences on software development.
  • Hands-on experience in developing compiler libraries or tools.
  • Hands-on experience with driver development for ASIC / FPGA.

Requirements

  • MS with 5+ years of related experience.
  • Experience with Embedded system development or FPGA.
  • Ability to work in a startup environment and work both independently and as a team player.
  • Ability to provide technical leadership to other members of the engineering team.
  • Track record of shipping products as an embedded software engineer.
  • 30+ days ago
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