Job 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.