TECHNICAL CO-FOUNDER
Voxvertex Solutions Pvt. Ltd. is looking for a technically strong and research-oriented Technical Co-Founder to lead our technology and research initiatives in the areas of Scientific AI, Computational Science, and AI for Physical Systems.
About the RoleThis is a founding-level technical role for someone who can take ownership of the research direction, technical architecture, prototyping, and development of advanced AI systems for physical and engineering applications.
The role sits at the intersection of:
Computational Science | Scientific Machine Learning | AI/ML | Mathematical Modelling | Engineering Systems
Key Responsibilities
- Lead research and development initiatives in Scientific AI and computational modelling
- Develop computational representations and models for physical and engineering systems
- Research and implement physics-informed and physics-guided machine learning approaches
- Work on dynamic systems, system identification, state estimation, prediction, and optimization
- Explore scientific representations, embeddings and learning methods for physical systems
- Develop and evaluate research prototypes and convert them into scalable software
- Design technical architecture for scientific data, models, APIs and computational workflows
- Evaluate emerging research and translate relevant techniques into practical systems
- Establish technical standards, development practices and the long-term research roadmap
- Build and lead the technical/research team as the organization grows
Ideal BackgroundWe are looking for candidates with strong foundations in one or more of the following:
- Computational Science / Computational Engineering
- Applied Mathematics
- Physics / Computational Physics
- Mechanical, Aerospace, Electrical or related Engineering
- Scientific Machine Learning
- Control Systems / Systems Engineering
- Computational Mechanics
- Robotics / AI for Physical Systems
Technical SkillsStrong experience in several of the following would be valuable:
- Python
- PyTorch / JAX / TensorFlow
- Numerical methods
- Mathematical modelling
- Differential equations
- Optimization
- Dynamic systems
- Scientific computing
- Machine Learning / Deep Learning
- Physics-informed or physics-guided ML
- Simulation and modelling
- Time-series and sensor data
- System identification / state estimationExperience with HPC/GPU computing, scientific simulation, neural operators, differentiable modelling or related areas would be an advantage.
What We Are Looking ForThe ideal candidate is someone who:
- Has strong mathematical and computational fundamentals
- Enjoys solving open-ended technical and research problems
- Can move from research → prototype → working software
- Is comfortable working across disciplines
- Can independently define and execute technical research
- Has the ambition to build technology at an early-stage deep-tech company
- Is interested in taking long-term ownership of the technical directionDemonstrated research, technical depth, publications, projects, open-source contributions, or strong engineering work can be equally valuable.
RolePosition: Technical Co-Founder
Domain: Scientific AI / Computational Science / Physical Systems
Experience: Relevant research or industry experience
Location: India / Flexible for the right candidate
Engagement: Founding team
If you are interested in building at the intersection of AI, computational science and engineering, we would be interested in hearing from you.