Computational Design Engineer: EDA & Scientific Computing

Company: Recooty
Location: Boston
Posted on: January 24, 2025

Job Description:

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. Responsibilities:

• Develop and implement numerical simulations and optimization algorithms to solve complex engineering problems.
• Collaborate with machine learning experts and customers in the semiconductor industry to develop AIR.
• Seamlessly integrate with industry-standard design tools like Cadence through APIs, facilitating automated design workflows.
• Ensure designs meet stringent performance, power, and area specifications through rigorous simulations and analyses.
• Keep abreast of the latest developments in scientific programming, optimization techniques, and EDA tool functionalities. Qualifications:
• Advanced degree (MSc or higher) in Electrical Engineering, Computer Science, Physics, or a related field with a strong emphasis on numerical methods.
• 3+ years of experience in scientific programming related to hardware design, including experience with optimization and autodifferentiation techniques.
• Proficiency in interfacing with EDA tools (e.g., Cadence) through APIs.
• Solid understanding of semiconductor physics and VLSI design principles.
• Familiarity with programming languages such as Python, MATLAB, and hardware description languages like Verilog/VHDL.
• Demonstrated ability to work collaboratively in a multidisciplinary team.
• Excellent analytical and problem-solving skills.
• Excellent written and oral communication skills. What We Offer:
• A competitive compensation package, including equity in a VC-backed startup.
• Comprehensive benefits, and a flexible PTO policy.
• An opportunity to be part of a groundbreaking company from its stealth phase through to public launch and beyond.
• The opportunity to work on pioneering projects that blend scientific research with practical hardware design.
• A culture of learning & innovation ideal for professional development.
• A fast-paced, highly dynamic and interdisciplinary work environment.
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Keywords: Recooty, Newton , Computational Design Engineer: EDA & Scientific Computing, Engineering , Boston, Massachusetts