Axiomatic AI
Validation Engineer - Electronic Design Automation (EDA)
Axiomatic AI, Cambridge, MA, United States
Axiomatic_AI's mission:
Axiomatic_AI is launching with the aim to accelerate R&D by "Automated Interpretable Reasoning" (AIR) - a verifiably truthful AI model built for reasoning in science and engineering. Axiomatic_AI is hiring top talent interested in a future of human reasoning aided by - not replaced by - AI, and a future that empowers a new generation of innovators to solve important problems through deep-tech engineering in the semiconductor ecosystem.
We are seeking an experienced Validation Engineer specializing in Electronic Design Automation (EDA) to join our team. The successful candidate will be responsible for developing and executing cutting-edge verification, validation, and uncertainty quantification techniques for EDA tools, ensuring they meet rigorous performance, power, and area specifications in semiconductor design.
Responsibilities
- Verification & Validation: Develop and implement comprehensive verification methodologies to ensure EDA tools produce accurate outputs under diverse scenarios.
- Performance & Compliance: Conduct detailed validation processes to ensure that designs meet stringent performance, power, and area targets, aligning with real-world manufacturing standards.
- Uncertainty Quantification: Perform in-depth uncertainty quantification to assess the reliability and confidence of design predictions, identifying and mitigating risks throughout the design process.
- Cross-functional Collaboration: Work closely with machine learning and design experts to integrate advanced validation workflows into automated design processes.
- Tool Integration: Seamlessly integrate validation processes with industry-standard tools (Cadence, Synopsys, Siemens EDA) through APIs to enhance workflow efficiency.
- Design Review: Lead thorough design reviews to verify compliance with customer specifications and industry standards, detecting potential issues early in the design cycle to save time and reduce costly revisions.
Key Requirements
- Technical Expertise: Extensive experience in verification and validation of EDA tools, with a strong background in numerical simulations and automation processes.
- Tool Knowledge: Proficiency with industry-standard EDA tools from companies such as Cadence, Synopsys, Siemens, or similar.
- API Integration: Familiarity with integrating validation processes into EDA workflows through APIs.
- Uncertainty Quantification: Knowledge of uncertainty quantification and its application to EDA validation processes.
- Experience: Prior experience in semiconductor design validation, particularly in performance, power, and area verification.
Preferred Qualifications
- Hands-on experience with verification tools from companies like Cadence, Synopsys, and Siemens EDA.
- In-depth knowledge of design review processes and tools, and a demonstrated ability to ensure compliance with industry standards.
- Ability to collaborate across multidisciplinary teams, integrating new technologies into existing design workflows.
- Strong problem-solving skills and attention to detail in verifying complex EDA outputs.
Benefits
- Work on the latest semiconductor design and EDA tool validation technologies.
- Collaborate with leading experts in machine learning, automation, and EDA workflows.
- Flexible working environment with opportunities to work on advanced, industry-defining projects.
Axiomatic_AI is launching with the aim to accelerate R&D by "Automated Interpretable Reasoning" (AIR) - a verifiably truthful AI model built for reasoning in science and engineering. Axiomatic_AI is hiring top talent interested in a future of human reasoning aided by - not replaced by - AI, and a future that empowers a new generation of innovators to solve important problems through deep-tech engineering in the semiconductor ecosystem.
We are seeking an experienced Validation Engineer specializing in Electronic Design Automation (EDA) to join our team. The successful candidate will be responsible for developing and executing cutting-edge verification, validation, and uncertainty quantification techniques for EDA tools, ensuring they meet rigorous performance, power, and area specifications in semiconductor design.
Responsibilities
- Verification & Validation: Develop and implement comprehensive verification methodologies to ensure EDA tools produce accurate outputs under diverse scenarios.
- Performance & Compliance: Conduct detailed validation processes to ensure that designs meet stringent performance, power, and area targets, aligning with real-world manufacturing standards.
- Uncertainty Quantification: Perform in-depth uncertainty quantification to assess the reliability and confidence of design predictions, identifying and mitigating risks throughout the design process.
- Cross-functional Collaboration: Work closely with machine learning and design experts to integrate advanced validation workflows into automated design processes.
- Tool Integration: Seamlessly integrate validation processes with industry-standard tools (Cadence, Synopsys, Siemens EDA) through APIs to enhance workflow efficiency.
- Design Review: Lead thorough design reviews to verify compliance with customer specifications and industry standards, detecting potential issues early in the design cycle to save time and reduce costly revisions.
Key Requirements
- Technical Expertise: Extensive experience in verification and validation of EDA tools, with a strong background in numerical simulations and automation processes.
- Tool Knowledge: Proficiency with industry-standard EDA tools from companies such as Cadence, Synopsys, Siemens, or similar.
- API Integration: Familiarity with integrating validation processes into EDA workflows through APIs.
- Uncertainty Quantification: Knowledge of uncertainty quantification and its application to EDA validation processes.
- Experience: Prior experience in semiconductor design validation, particularly in performance, power, and area verification.
Preferred Qualifications
- Hands-on experience with verification tools from companies like Cadence, Synopsys, and Siemens EDA.
- In-depth knowledge of design review processes and tools, and a demonstrated ability to ensure compliance with industry standards.
- Ability to collaborate across multidisciplinary teams, integrating new technologies into existing design workflows.
- Strong problem-solving skills and attention to detail in verifying complex EDA outputs.
Benefits
- Work on the latest semiconductor design and EDA tool validation technologies.
- Collaborate with leading experts in machine learning, automation, and EDA workflows.
- Flexible working environment with opportunities to work on advanced, industry-defining projects.