# Software Architect - Dynamical Simulation & AI (Space Division)

**Company:** [Astrome Technologies](http://jobs.workable.com/companies/475htJLUr1UMKKEUdR2FD1.md)
**Location:** Bengaluru, India
**Workplace:** on site
**Employment type:** Full-time
**Department:** Software

[Apply for this job](http://jobs.workable.com/view/09030122-818f-493d-a951-9f844b45c8b9)

## Description

### **About the Role**

We are seeking a **Software Architect** to lead the design and development of a next-generation **dynamical simulation engine** that combines **high-performance numerical computation**, **control-theoretic modeling**, and **AI-driven predictive analytics**.

You will architect and implement the computational core—designing scalable, precision-focused systems running on **CPU and GPU**—and integrate AI/ML modules for learning, estimation, and prediction. This is a hands-on, technically deep role with architectural ownership and cross-team leadership.

### **Key Responsibilities**

### **Core Architecture & Simulation Engine**

-   Architect and implement a **dynamical system simulation framework** for complex, time-dependent physical and engineered processes.
-   Develop and optimize numerical algorithms for **multi-core CPUs and GPUs** using **C/C++**, **Python**, and **CUDA/OpenCL**.
-   Integrate **control-theoretic models**, including feedback systems, stability analysis, and perturbation analysis.
-   Define simulation data structures, solver architectures, and modular interfaces for extensibility.

### **AI / Predictive Modeling Integration**

-   Collaborate with AI/ML teams to embed **predictive models** and **data-driven controllers** into the simulation loop.
-   Architect efficient data exchange and compute workflows between numerical solvers and AI inference engines.
-   Optimize hybrid AI + physics simulation performance.

### **Performance & Optimization**

-   Profile and tune performance-critical components for compute efficiency, memory management, and scalability.
-   Develop benchmarking tools and regression frameworks for algorithm validation.

### **Leadership & Collaboration**

-   Lead a small team of simulation and algorithm engineers.
-   Work closely with the **Application Tech Lead** and UI/backend teams for seamless integration.
-   Establish architectural standards, review processes, and documentation practices.

## Requirements

-   Bachelor’s or Master’s degree in **Computer Science, Electrical/Mechanical Engineering, Control Systems, Applied Mathematics**, or a related field.
-   **10+ years** of experience in high-performance computational software development.
-   Deep understanding of:

-   **Control theory**, dynamical systems, and feedback mechanisms
-   **Numerical methods**, ODE/PDE solvers, and stability analysis
-   **Parallel and GPU computing** (CUDA, OpenCL, OpenMP)
-   **C/C++**, **Python**, and scientific computing libraries

-   Proven experience integrating **AI/ML frameworks** (PyTorch, TensorFlow) with numerical systems.

### **Preferred Skills**

-   Experience building **simulation engines from scratch**, not just using existing platforms.
-   Familiarity with **distributed compute systems**, profiling, and optimization tools.
-   Exposure to **DevOps for scientific codebases** (CMake, CI/CD, Docker).

### **Soft Skills**

-   Strong analytical and problem-solving skills rooted in mathematical reasoning.
-   Excellent communication and technical documentation abilities.
-   Proven leadership and mentoring capability.

## Benefits

We offer great career growth, ESOPs, Gratuity, PF and Health Insurance.