About Us

Our mission is to unlock a new level of scalability of our civilization by automating mechanical design processes using AI. We are a rapidly growing stealth mode startup that raised pre-seed round in October 2024.

We are building a world where low-level design implementations are managed by AI, enabling every designer’s vision to transcend minute details. Our product will unleash creativity and insight, no longer constrained by the complexities of the projects. The upper limit of mechanical, topological, and physical complexity that can be managed by our civilization will expand—faster than ever before in human history.

Now, it is your mission to define what this world should look like.

Our Core Values

• Speed. We think, decide, and act—fast.
• Quality. We uphold uncompromising standards in our product.
• Teamwork. We believe in the value of mutual trust and respect for dedication and commitment to our mission.

Senior Research Engineer

As a Senior Research Engineer, you will:

• Build AI agent that translates imaginations into real-world designs.
• Characterize mechanical design processes and enforce the AI agent to address all critical engineering considerations throughout the design cycle.
• Collaborate with domain experts across diverse technical fields and improve accuracy, efficiency, reliability, and quality of the AI agent’s behavior.

What We’re Looking For

You possess:

• Exceptional resilience, ownership, initiative, and a problem-solving mindset, even under immense pressure.
• Willingness to work extended hours, including weekends, when necessary to meet critical deadlines.
• Eagerness to engage with diverse technical areas across multiple disciplines.
• Strong interpersonal skills, demonstrating respect for and a willingness to learn from experts outside your domain.
• Outstanding teamwork to collaboratively tackle interdisciplinary engineering challenges alongside colleagues from diverse backgrounds at an exceptionally fast pace.
• Willingness to travel domestically or internationally for more than four weeks annually to support on-site needs.

Your specialized technical expertise should focus on one of two tracks: Mechanical or Software. However, you will work in a team where the boundaries between these fields are fluid—you will grow and learn at an exceptionally fast pace.

Mechanical Track

Must-have:

• Exceptionally strong foundation in first principles of mechanical engineering: thermal, fluid, structural, and dynamics.
• Demonstrable achievements in characterizing complex physical problems by identifying governing parameters and establishing appropriate reduced-order models.
• Proficiency in at least one programming language (e.g., Python, C/C++, Fortran) with demonstrable achievements (e.g., development of GPU-accelerated fluid simulations).

Nice-to-have:

• Expertise in numerical analysis or design optimization (e.g., a master’s or Ph.D. focused on physics solver development or structural design optimization).
• Familiarity with AI frameworks (e.g., hands-on experience fine-tuning language models or training transformers).
• Expertise in computer-aided design (CAD) software (e.g., CATIA, NX, FreeCAD).
• Familiarity with batch processing using shell scripts on cloud platforms (e.g., AWS).

Software Track

Must-have:

• Exceptionally strong foundation in cutting-edge AI technologies, supported by demonstrable research achievements; any domain will suffice – e.g., graphics, computer vision, generative models, or language models.
• Extensive knowledge of Python, C/C++, and shell scripting.
• Experience designing and developing secure, high-performance software.
• Proficiency in at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX).
• General computer science knowledge such as data structure and algorithms.

Nice-to-have:

• Foundational understanding of 3D computer vision principles and techniques.
• Experience in the Software-as-a-Service (SaaS) development lifecycle.
• Experience with graphical user interface (GUI) design frameworks (e.g., Qt).
• Familiarity with mechanical engineering principles and design processes.
• Experience with computer-aided design (CAD) programs (e.g., CATIA, NX, FreeCAD).
• Experience in integrating and automating workflows between commercial engineering software (e.g., Ansys, Altair) on cloud platforms (e.g., AWS, GCP).
• High performance in competitive programming contests such as TopCoder, Google Code Jam, or Facebook Hacker Cup.