Computational Design Engineer: EDA & Scientific Computing

About Axiomatic AI :

Axiomatic AI is on a mission to reshape how AI integrates into the hardware world, starting with verifiable AI models that empower engineers.

Our team is building the next generation of Automated Interpretable Reasoning (AIR) , focusing on hardware and EDA (Electronic Design Automation) innovation.

We need passionate, technically adept individuals to help take our project from development to a commercial product .

We are looking for individuals in their early career stages, with 3+ years of hands-on industry experience , who are eager to help lead this mission.

If you've been actively contributing to open-source semiconductor projects or worked at top semiconductor firms, and have an interest in merging AI and hardware design , you might be the right fit!

Key Responsibilities :

Contribute to and lead hardware design efforts : Work with the team to refine and commercialize open-source hardware tools, driving our project into productization.

Develop and optimize numerical simulation algorithms : Collaborate with experts in AI and scientific computing to refine hardware design automation systems.

Integrate EDA tools : Interface with industry-standard EDA tools, including Cadence, Synopsys , or open-source alternatives, to optimize design flows.

Collaborate with the community : Actively participate in open-source hardware communities , such as OpenROAD, FOSSi Foundation , and SkyWater PDK , contributing to new tools and standards.

Mentorship and leadership : Guide junior team members and collaborate with cross-functional teams.

Requirements :

Education : Bachelor's or Master's in Electrical Engineering, Computer Engineering, Physics , or a related field with a focus on IC or hardware design.

Experience :

3-5 years in EDA tools , semiconductor design, or related fields.

Experience with open-source EDA tools (e.g., Yosys, OpenROAD, SkyWater PDK ) is highly valued.

Strong knowledge of digital and mixed-signal IC design .

Experience working with simulation software , such as FDTD solvers , or collaboration on chip fabrication projects.

Technical Skills :

Familiarity with hardware description languages (e.g., Verilog, VHDL ).

Experience in RISC-V , PULP platform , or other open-source architectures is a plus.

Solid understanding of numerical methods , optimization, and scientific computing .

Team Skills : Ability to work in a collaborative, fast-paced environment, with a passion for solving tough engineering problems.

Bonus :

Contributions to open-source hardware initiatives such as LibreCores , OpenTitan , or similar projects.

Experience working on multi-project wafers or open-source silicon fabrication processes.

What We Offer :

Competitive compensation : Salary + stock options for long-term growth.

Learning and growth : Access to state-of-the-art tools and collaboration with leading professionals in AI and hardware.

Impactful work : Work on cutting-edge technology that will shape the future of hardware and AI integration.

Flexibility : Remote-friendly work culture, allowing for a good work-life balance.

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