Senior Multiphysics Systems Engineer

3 days ago

Toronto, Ontario, Canada Axiomatic AI Full time
About Axiomatic AI

Axiomatic AI is a pioneering company that aims to revolutionize the integration of AI with hardware. We are committed to developing verifiable AI models that empower engineers in hardware design and Electronic Design Automation (EDA). Our mission is to drive innovation in the fields of hardware design and simulation through cutting-edge AI-driven tools.


Position Overview: Multisystem Analysis in Systems Architecture

The Multisystem Analysis and Systems Architect will lead the design, integration, and optimization of multiphysics systems within our AI-driven hardware design frameworks. This role involves a blend of high-level system architecture design and hands-on multiphysics simulation across multiple domains, including electromagnetic, thermal, computational fluid dynamics (CFD), and mechanical systems.

Key Responsibilities
  • System Design Integration: Design and implement cross-domain models for analyzing electromagnetic, thermal, mechanical, and fluid dynamics interactions in complex systems. Formulate constraints using formal verification techniques (such as SMT or Lean) to ensure robustness.
    • q1.1: Electromagnetic Simulation Constraints in photonic and RF applications.
  • Optimization and Simulation: Lead the development of numerical simulation algorithms using AI-driven methods to enhance the accuracy and speed of simulations.
    • q1.2: Thermal Analysis Constraints
  • Collaborative Integration: Interface with industry-standard EDA tools like Cadence and Synopsys, or open-source alternatives, to optimize design flows for complex chips.
    • q1.3: Computational Fluid Dynamics (CFD): Employ Navier-Stokes equations
  • System-Level Performance: Define methodologies to evaluate system performance using massively parallel computing architectures and AI-augmented simulations.
    • q1.4: Electromechanical Analysis: Use Maxwell's stress tensor equations to analyze the forces in electromechanical transducer designs.
  • Multiphysics Supercomputing: Implement and optimize AI-driven Multidisciplinary Design Analysis and Optimization (MDAO) workflows for real-time, high-performance computing.
    • q1.5: Constraint Optimization: Formulate multi-objective optimization problems in Lean, targeting 10x productivity gains through AI-enhanced algorithms.
  • Documentation and Reporting: Develop detailed technical documentation and present simulation results to internal teams and external stakeholders, ensuring alignment with project goals and customer requirements.
    • q1.6: Formal Proof Verification: Ensure the validity of simulation models through formal mathematical verification in Lean or Coq.
  • Mentorship and Collaboration: Guide junior engineers and collaborate with cross-functional teams to drive innovation and ensure continuous improvement.
Requirements
  • Education: M.Sc. or Ph.D. in Electrical Engineering, Mechanical Engineering, Physics, Applied Mathematics, or a related field with a focus on multiphysics simulation and system architecture.
  • Experience:
    • Minimum of 3-5 years in roles involving multiphysics analysis, EDA, or semiconductor design.
    • Experience in formal methods for system verification using SMT solvers or theorem provers (e.g., Lean, Coq).
    • Hands-on experience with electromagnetic simulation (FDTD, FEM), thermal management, and CFD tools.
  • Technical Skills:
    • Proficiency in programming languages such as Python, C++, or MATLAB for numerical modeling.
    • Familiarity with hardware description languages (e.g., Verilog, VHDL) and system design using RISC-V or PULP platforms.
    • Solid understanding of numerical methods, mathematical optimization, and AI-augmented simulations.
    • Experience with GPU-accelerated computing and parallel processing techniques.
  • Soft Skills:
    • Strong analytical skills and the ability to think critically in solving complex engineering challenges.
    • Excellent communication skills for articulating technical concepts and presenting results to stakeholders.
    • Collaborative mindset with the ability to lead cross-disciplinary teams in a fast-paced environment.
Salary

$140,000 - $180,000 per year, depending on experience and qualifications.

Benefits
  • Competitive compensation package, including salary, stock options, and bonuses.
  • Cutting-edge tools and collaborative opportunities with leading experts in AI, hardware, and EDA.
  • Flexible work arrangements, including remote work options.
  • Opportunities for professional growth, including training, mentorship, and career development.
Why Axiomatic AI?

Axiomatic AI is a company at the forefront of innovation, working to push the boundaries of what is possible at the intersection of AI and hardware. We are seeking highly motivated professionals who share our passion for driving change and making a meaningful impact.

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