Senior Software & Algorithm Engineer - 3D Cloth Simulation

Browzwear is the global leader in 3D digital solutions for the fashion industry. Our software transforms how apparel is designed, developed, and brought to market—empowering leading brands with tools that drive creativity, speed, and sustainability.

We're looking for a passionate and experienced Senior Software & Algorithm Engineer to join our team and help us improve our cutting-edge 3D cloth simulation system. In this role, you'll be instrumental in developing and refining the core algorithms that drive realistic cloth behavior, while also ensuring a robust, high-performance software implementation.

What You Will Do

Algorithm Development: Design, implement, and optimize novel algorithms for real-time and offline 3D cloth simulation. This includes tackling challenges related to collision detection, self-collision, friction, and physical realism.
Performance Optimization: Profile and identify performance bottlenecks within the existing simulation engine. Implement low-level optimizations to improve efficiency and scalability, utilizing techniques such as parallel computing and data-oriented design.
System Architecture: Contribute to the architectural design and refactoring of the simulation codebase to enhance its modularity, maintainability, and extensibility.
Problem Solving: Leverage advanced problem-solving skills to navigate the intricate domains of cloth simulation, from numerical stability to inter-object dynamics.
Collaboration: Work closely with other teams to integrate the simulation system into a larger pipeline and meet project requirements.
Research: Stay current with the latest research and industry trends in real-time physics and computer graphics.

Who You Are:

Strong Technical Background: A Bachelor's or Master's degree in Computer Science, Mathematics, Physics, or a related field.
At least 5+ years of professional experience in software engineering, with a significant focus on developing physics-based simulations, computer graphics, or related fields.
Fluent in English: Excellent communication skills, both written and verbal, are essential for our international team.
Expertise in C++ and Python: Exceptional C++ programming skills are a must, along with proficiency in Python for scripting and tool development.
Numerical Methods: A deep understanding of numerical integration methods, linear algebra, and related topics such as:
Meshes and Geometry Processing: Working with triangle meshes, data structures for spatial queries, and geometric algorithms
Partial Differential Equations: The mathematical basis for many physical phenomena.
Optimization Theory: Understanding of optimization algorithms for solving non-linear systems.
3D Math: Strong proficiency in 3D mathematics, including vectors, matrices, and quaternions.
Simulation Knowledge: Direct experience with cloth, soft body, or rigid body physics simulations.
Performance Optimization: Experience with performance optimization and multi-threaded programming using tools like CUDA, Intel oneAPI, Intel Threading Building Blocks (TBB), and Intel Math Kernel Library (MKL).

Nice To Haves

Familiarity with physics engines like PhysX, Bullet, or internal proprietary engines.
Knowledge of various simulation techniques like Mass-Spring systems, Position-Based Dynamics (PBD), or Finite Element Method (FEM).
Experience with Deep Learning for Simulation: Knowledge of using machine learning models to accelerate or enhance physics simulations is a plus.
Data Analysis: Experience with analyzing simulation results and verifying algorithms using data-driven methods.
Software Development Methodologies: Experience working in modern development methodologies, including Agile, and proficiency with version control systems like Git.

Why Join Us?

You'll be part of a team that's pushing the boundaries of what's possible in 3D graphics. This role offers the opportunity to have a significant impact on our core product, solving challenging and intellectually stimulating problems that directly influence the visual quality and performance of our simulations. We offer a dynamic work environment and competitive compensation.