Full-Time

Senior/Staff Formal Verification Engineer

Confirmed live in the last 24 hours

Untether AI

Untether AI

51-200 employees

Enhances AI inference with at-memory computing

No salary listed

Senior

Toronto, ON, Canada

This position is hybrid.

Category
Hardware Engineering
Hardware Validation & Testing
Required Skills
Verilog
Python
VHDL
Requirements
  • Bachelor's or Master's degree in Electrical Engineering or Computer Engineering.
  • 3+ years of proven experience in formal verification, especially Formal Property Verification.
  • Hands-on experience with formal verification tools such as Cadence JasperGold, Synopsys VC Formal, or equivalent tools.
  • Expertise in SystemVerilog Assertions (SVAs), with the ability to define, implement, and verify complex design properties is a must.
  • Solid experience with RTL design (e.g., Verilog, VHDL) and understanding of digital design principles.
  • A decent understanding of compute architecture, including CPU, GPU, or specialized AI hardware accelerators, and how to verify performance, timing, and functional properties within these architectures.
  • Proficiency in scripting languages such as Python for automation and tool integration.
Responsibilities
  • Drive formal verification efforts to ensure the correctness and performance of Custom-AI hardware designs at both IP and Sub-system level.
  • Develop and execute verification plans: from creating formal property test plans to executing them and providing final sign-off based on thorough verification.
  • Collaborate with hardware designers and architects to define the properties and requirements that need to be verified, ensuring alignment with system-level goals and performance expectations.
  • Analyze and debug formal verification results, provide actionable feedback to design teams, and assist in improving design decisions to enhance verification outcomes.
  • Contribute to the continuous improvement of verification methodologies, tools, and internal processes, ensuring our verification practices remain at the forefront of industry standards.
  • Stay up-to-date with the latest advancements in formal methods and AI hardware verification, applying new techniques to improve our verification strategies.
Desired Qualifications
  • In-depth understanding of complexity issues in formal property verification, including techniques to manage state space explosion, abstraction methods, and scalable verification strategies for large designs.
  • Strong knowledge of AMBA protocols such as AXI, AHB, and APB, with the ability to verify the correctness of communication and data transfer between components using these protocols.
  • Familiarity with the RISC-V Instruction Set Architecture (ISA) and its implementation in hardware, including the challenges of verifying custom RISC-V processors and accelerators.

Untether AI enhances the speed and efficiency of AI inference workloads using at-memory computing. This method places computing elements next to memory cells, which boosts compute density and accelerates AI inference for various applications like vision and natural language processing. The company targets businesses that rely on AI technologies, offering products like the runAI200® devices and tsunAImi® accelerator cards. These devices provide high-performance computing, with the tsunAImi® card delivering over 2 PetaOps, making it suitable for demanding AI tasks. Untether AI's goal is to help businesses optimize their AI workloads by providing efficient and cost-effective computing solutions.

Company Size

51-200

Company Stage

Series B

Total Funding

$148.7M

Headquarters

Toronto, Canada

Founded

2018

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

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

0%

2 year growth

1%
Business Wire
Apr 16th, 2024
Untether Ai Announces Collaboration With Arm To Deliver High Performance, Energy-Efficient Solutions

TORONTO--(BUSINESS WIRE)--Untether AI, the leader in energy-centric AI inference acceleration, today announced a collaboration with Arm to develop best-in-class solutions optimized for next-generation automotive applications. As part of this collaboration, Untether AI will enable its inference acceleration technology to be implemented alongside the latest-generation Automotive Enhanced (AE) technology from Arm, to create solutions that address performance, power, safety, and security requirements for advanced Driver Assistance Systems (ADAS) and autonomous vehicle (AV) applications. Compute workloads radically changed in the past several years with the deployment of AI and the increasing complexity of AI and conventional software algorithms has elevated the demand for heterogeneous computing platforms employing domain-specific architectures. This trend, which is especially true in the automotive sector, results in an ideal computing platform that combines a mix of CPUs, AI accelerators, memory, and networking technologies that have been optimized for neural network acceleration and software-defined vehicles (SDV). “The increase in advanced user experiences, ADAS, and AV applications means more heterogeneous compute is needed in the vehicle,” said Suraj Gajendra, vice president of products and solutions, Automotive Line of Business, Arm. “By collaborating with Untether AI to ensure our leading-edge AE technology can work well alongside Untether AI’s acceleration capability, we are enabling our partners to power cutting edge AI workloads across the vehicle.”

BetaKit
Apr 16th, 2024
Untether Ai To Collaborate With Semiconductor Giant Arm On Smart Vehicle Solutions

Untether says its energy efficient architecture is needed to support next-gen vehicles

Business Wire
Mar 25th, 2024
Untether AI and J-Squared Unveil Groundbreaking AI-Enabled Rugged PC Chassis at AUSA

"J-Squared Technologies is proud to partner with Untether AI to deliver a solution that meets the rigorous demands of both defense and commercial applications," said Andrew Woollard, Chief Technical Officer at J-Squared Technologies.

6JJ Michigan BB Inns
Jan 19th, 2024
Untether AI raises $20 million to develop machine learning inferencing hardware_best bank stocks to buy in india

Untether AI raises $20 million to develop machine learning inferencing hardware_best bank stocks to buy in india.

BetaKit
Jan 5th, 2024
Untether AI names Intel veteran Chris Walker as its new CEO

To date, Untether AI has raised more than $200 million CAD ($152 million USD) in funding from a group that includes Intel, Tracker Capital, the Canada Pension Plan Investment Board, and Radical Ventures.