Computational Design Engineer: EDA & Scientific Computing - Axiomatic-AI

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