Senior/Staff Formal Verification Engineer at Untether AI

Toronto, Ontario, Canada

Untether AI Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, HardwareIndustries

Requirements

Candidates should possess a Bachelor’s or Master’s degree in Electrical Engineering or Computer Engineering, along with at least 3 years of proven experience in formal verification, specifically Formal Property Verification. They must have hands-on experience with formal verification tools like Cadence JasperGold or Synopsys VC Formal, and demonstrate expertise in SystemVerilog Assertions (SVAs). A solid understanding of RTL design using Verilog or VHDL, combined with knowledge of digital design principles, is also required. Furthermore, candidates should have a decent understanding of compute architecture, including CPU, GPU, or specialized AI hardware accelerators, and the ability to verify performance, timing, and functional properties within these architectures. Proficiency in scripting languages, particularly Python, for automation and tool integration is essential.

Responsibilities

The Senior/Staff Formal Verification Engineer will drive formal verification efforts to ensure the correctness and performance of Custom-AI hardware designs at both IP and Sub-system level. They will develop and execute verification plans, including creating formal property test plans and providing final sign-off. Collaboration with hardware designers and architects is crucial to define verification requirements and ensure alignment with system-level goals. The role involves analyzing and debugging formal verification results, providing feedback to design teams, and contributing to the continuous improvement of verification methodologies and processes. Staying current with advancements in formal methods and AI hardware verification is also a key responsibility, alongside applying new techniques to enhance verification strategies.

Skills

Formal Verification
Cadence JasperGold
Synopsys VC Formal
SystemVerilog Assertions
Verilog
VHDL
RTL Design
Python
Compute Architecture

Untether AI

Enhances AI inference with at-memory computing

About Untether AI

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, including the runAI200® devices and tsunAImi® accelerator cards, are designed to deliver exceptional performance, with the tsunAImi® card offering over 2 PetaOps. This allows businesses to optimize their AI workloads while maintaining a compact PCI-Express form factor. Untether AI's goal is to provide efficient and cost-effective solutions for companies looking to enhance their AI applications.

Toronto, CanadaHeadquarters
2018Year Founded
$144.6MTotal Funding
SERIES_BCompany Stage
Hardware, AI & Machine LearningIndustries
51-200Employees

Benefits

Paid Vacation
Health Insurance
Unlimited Paid Time Off
Stock Options

Risks

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.

Differentiation

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.

Upsides

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.

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