Full-Time

Staff Pre-Silicon Firmware Engineer

Confirmed live in the last 24 hours

Untether AI

Untether AI

51-200 employees

Enhances AI inference with at-memory computing

Hardware
AI & Machine Learning

Senior

Toronto, ON, Canada

Requires in-person work at least twice a week at HQ in Toronto.

Category
Embedded Engineering
Software Engineering
Required Skills
FPGA
Requirements
  • BS/MS/PhD in EE/CE/CS, or equivalent
  • 5+ years experience in firmware development for embedded processors and near real-time systems.
  • 2+ years experience in RTL simulation (either development or design verification).
  • Proven ability to develop and maintain high-quality design documents
  • Good verbal and written communication skills
  • Ability to work independently and as part of a team
Responsibilities
  • Contribute to and review hardware, software, and system architecture
  • Develop firmware design documents based on technical requirements.
  • Implement firmware and validate it in simulation, on FPGA/Emu, and on real silicon
  • Enhance the tools and testbenches necessary for design development.
  • Mentor one or more engineers or interns to assist in implementation and debug
  • Work closely with hardware designers, software engineers, and project managers to achieve design goals and meet project timelines.
Desired Qualifications
  • Experience with RTL simulation and pre-silicon firmware development
  • Experience writing low-level firmware code (i.e. interacting with SoC IPs)
  • Experience with leading junior engineers or interns
  • Familiar with Register description languages or IP-XACT
  • Familiar with RISC-V processor architecture and AMBA bus structures
  • Familiar with debugging tools such as JTAG and gdb.
  • Familiar with chip and board bring up activities.

Untether AI enhances the speed and efficiency of AI inference workloads using at-memory computing. This method places the compute element next to memory cells, which boosts compute density and accelerates AI inference for various neural networks, such as those used in vision, natural language processing, and recommendation systems. The company targets businesses that rely on AI technologies and need high-performance computing for inference tasks. Their products include the runAI200® devices and tsunAImi® accelerator cards, which are designed to deliver high performance, with the tsunAImi® card offering over 2 PetaOps. This allows businesses to optimize their AI workloads while maintaining a compact form factor. Untether AI's goal is to provide efficient and cost-effective solutions for companies looking to improve their AI application performance.

Company Stage

Series B

Total Funding

$144.6M

Headquarters

Toronto, Canada

Founded

2018

Growth & Insights
Headcount

6 month growth

2%

1 year growth

-2%

2 year growth

3%
Simplify Jobs

Simplify's Take

What believers are saying

  • Collaboration with Arm enhances solutions for ADAS and AV applications in the automotive sector.
  • $20 million funding supports ongoing development of machine learning inferencing hardware.
  • Partnership with J-Squared opens new opportunities in defense and commercial sectors.

What critics are saying

  • Emerging competition in energy-efficient AI hardware could threaten market position.
  • Rapid AI model evolution may require frequent hardware updates and innovations.
  • Supply chain vulnerabilities in semiconductor components could impact production timelines.

What makes Untether AI unique

  • Untether AI's at-memory computing maximizes AI inference efficiency and speed.
  • The tsunAImi® accelerator card delivers over 2 PetaOps per card, optimizing AI workloads.
  • Untether AI's imAIgine SDK allows rapid deployment of neural networks with flexible kernels.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Paid Vacation

Health Insurance

Unlimited Paid Time Off

Stock Options