Expert Optimization Engineer

ParisFull-TimeMid-levelSoftware Engineering

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Responsibilities

  • Lead research and development of optimization tools for numerical and scientific software for chip design simulation
  • Identify limitations in current simulation pipelines and help build improvements needed to meet optimization targets
  • Communicate with users and developers to collect feedback to align the vision for the optimization workflows
  • Assess overall numerical performance of simulation pipelines and work with other simulation engineers to implement necessary improvements
  • Write specifications and collaborate with software engineers to industrialize prototypes and deploy new processes

Requirements

  • Expertise in various optimization paradigms from both theoretical and practical perspectives (single- and multi-objective optimization, discrete vs continuous, convex vs non-convex, constraint handling, etc.)
  • Hands-on expertise in major optimization methods and frameworks (e.g., gradient-based methods, adjoint-based method, evolutionary algorithms, swarm-based methods, optimal design of experiments)
  • Fundamental comprehension of and practical experience with both CPU- and GPU-based computer architectures for optimization problems
  • 5+ years of working experience in academia or industry in optimization and large-scale numerical applications
  • M.Sc. or Ph.D. in mathematics, engineering, physics or related field
  • Solid experience with efficient numerical solvers and modern software libraries
  • First-hand experience with Python and/or similar programming languages
  • Fundamental comprehension of software design and engineering concepts and ability to collaborate with software engineers
  • Knowledge of surrogate modeling and differentiable programming
  • Experience with ML libraries such as PyTorch and/or JAX
  • Experience with FEM and conventional FEM tools
  • General understanding of physics, especially electromagnetism and quantum physics
  • Knowledge of state-of-the-art deep-learning based methods for model calibration (e.g., inverse problem and simulation)

Benefits

  • Our success is your success : own it with our BSPCE plan
  • Direct IP Compensation: Earn substantial bonuses for driving the core patents that define our quantum architecture.
  • Flexible remote policy, up to 40 % a month
  • A Parental Plan including additional benefits such as crèche support or additional days-off to take care of under 12 years old children
  • Subsidized membership with Urban Sports Club
  • Mental health support with moka.care
  • 25-day vacation policy (as per French law) + RTT
  • Half of transportation cost coverage (as per French law), or yearly allowance for the die-hard bicycle users
  • Competitive health coverage with Alan
  • Meal vouchers with Swile, as well as access to a fully equipped and regularly stocked kitchen
  • French language courses covered by the company for those interested

Recruitment Process

  • Screening Call with Grace, Talent Acquisition Specialist (30 min)
  • Hiring Manager Interview with Mattis (45 min)
  • Technical Interview/Presentation with the team (60 min)
  • Leadership/Fit Interview (45 min)
  • Reference Check

Job Summary

CompanyAlice-Bob
LocationParis
TypeFull-Time
LevelMid-level
DomainSoftware Engineering