Computational Design Engineer: EDA
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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
- Keeping 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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