Karnataka Senior mechanical architect Jobs – 96 Open Jobs Today

Senior Quantitative Scientist – Grid Behavioral Modeling
Siemens —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- Research
5h
Senior Structural Analysis Engineer
ReOrbit —Bengaluru, Karnataka
- Hybrid work
- Master's degree
- Communication skills
- Python
Senior Consultant - Asset Management (RAMS Consultant)
WSP —Bengaluru, Karnataka
- Hybrid work
- Analysis skills
- Agile
- Analytics
8d
BIM Coordinator - Public Health
Egis —Bengaluru, Karnataka
- Engineering
- Analysis skills
- Project management
6d
Systems Architect
Tata Electronics —Narasapura, Karnataka
- Computer Science
- System design
- Master's degree
Senior Consultant - Asset Management (Data Consultant)
WSP —Bengaluru, Karnataka
- Hybrid work
- Microsoft Excel
- Computer Science
- SQL
8d
CPU Performance & Power Analyst Staff Engineer
Qualcomm —Bengaluru, Karnataka
- Computer science
- Doctoral degree
- Computer Science
Facade Designer
WSP —Bengaluru, Karnataka
- Hybrid work
- AutoCAD
- Civil engineering
- Agile
9d
Sr. Capacity Planner, ATO (Ads Trust Operations)
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Master's degree
- Bachelor's degree
14d
Sr Technical Lead - HW Work Package Management
Thales —Bengaluru, Karnataka
- Full-time
- Master's degree
- Bachelor's degree
- Manufacturing
PROJECT MANAGER- MEP
Lambsrock —Bengaluru, Karnataka
- Project management
- Bachelor's degree
- Plumbing
Quick apply
CPU STA CAD Engineer (Lead/Staff/Sr Staff)
Qualcomm —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Master's degree
Associate BIM MEP
WSP —Bengaluru, Karnataka
- Hybrid work
- AutoCAD
- Master's degree
- Project management
Package Design Senior Staff Engineer
Marvell —Bengaluru, Karnataka
- Schematics
- Manufacturing
- AI
Product Support Engineer III
Samsara —Bengaluru, Karnataka
- Rotational shift
- Computer Science
- Software troubleshooting
- B.Sc
Senior Engineer - Electrical
WSP —Bengaluru, Karnataka
- Hybrid work
- Microsoft Word
- AutoCAD
- Microsoft Excel
Infra DV Sr Engineer
Qualcomm —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Master's degree
Package Layout Design Senior Staff Engineer
Marvell —Bengaluru, Karnataka
- Schematics
- Manufacturing
- AI
Senior Data Science & AI Specialist
ABB Global Industries and Services Private Limited —Bengaluru, Karnataka
- Online application
- Doctoral degree
- English
- Master's degree
Quick apply
Senior Consultant - Integrity Management (Asset Management)
WSP —Bengaluru, Karnataka
- Hybrid work
- Agile
- Communication skills
2d

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Senior Quantitative Scientist – Grid Behavioral Modeling

Siemens -
Bengaluru, Karnataka

Apply Now

Job details

Permanent | Full-time
5 hours ago

Qualifications

TensorFlow
Doctoral degree
Computer Science
Applied Mathematics
Maths
Research
Machine learning
Algorithm design
AI
Python

Full job description

Modern energy infrastructure spanning power grids, generation plants, and oil and gas networks has evolved into a massive ecosystem of interconnected, smart physical assets. The operational efficiency of these systems is no longer just a function of localized physics; it is driven by a complex mix of market economics, automated edge-computing algorithms, asset degradation constraints, and human decision-making.

Our division is building the mathematical and algorithmic foundation to understand, predict, and optimize these large-scale systems. We are moving beyond traditional physics-only simulations to build behavioral models. By abstracting physical assets (turbines, compressors, transformers, and switchgear) into interacting, intelligent agents, we simulate and optimize how they will behave when exposed to volatile market dynamics, network constraints, and operational uncertainties. We bridge the gap between hard engineering realities (thermodynamics, fluid dynamics, electromagnetics) and AI-driven decision-making.

The Role

We are seeking a Senior Quantitative Scientist to anchor our mathematical research and development. You do not need to be a domain expert in every industrial sector. Instead, we are looking for a rigorous mathematical thinker who can bring deep expertise from advanced optimization, game theory, or AI/ML, and apply it to complex physical networks. You will collaborate closely with domain engineers (electrical, mechanical, chemical) and systems architects to ensure your mathematical abstractions accurately reflect the constraints of real-world industrial operations.

Key Responsibilities

Complex Systems Modeling: Design data-driven and algorithmic models that capture the complex, often unpredictable behavior of decentralized physical assets under volatile market conditions and varying environmental scenarios.
Agent-Based & Behavioral AI: Develop reinforcement learning and multi-agent frameworks that simulate how autonomous industrial devices interact, compete, and cooperate within a shared network or supply chain.
Economic & Incentive Design: Help design the algorithmic "rules of the game" (automated local markets, resource allocation mechanisms, and scheduling algorithms) that incentivize self-interested assets to operate in ways that support overall system stability and profitability.
Optimization Under Uncertainty: Build robust optimization models that maximize efficiency and asset longevity even when facing worst-case scenarios, erratic demand distributions, or incomplete data.
Physics-Aware AI: Collaborate with engineering teams to embed strict physical safety limits (e.g., pressure, temperature, thermal, and voltage constraints governed by PDEs) directly into your data-driven models, ensuring the algorithms never violate fundamental physical laws.
Thought Leadership: Drive the research agenda for the division, mentoring junior scientists and representing our work in industry forums and academic publications.

Required Qualifications

Education: PhD in Applied Mathematics, Computer Science, Operations Research, Statistics, Electrical Engineering, or a closely related discipline.
Experience: 10–12+ years of research or industry experience focused on advanced mathematical modeling, machine learning, and algorithm design.
Core Expertise: Deep, provable expertise in at least two of the following domains:
- Game Theory, Mechanism Design, or Behavioral Economics
- Advanced Mathematical Optimization (e.g., Stochastic, Robust, or Non-linear programming)
- Reinforcement Learning / Multi-Agent Systems
- Physics-Informed Machine Learning (PINNs) or constrained AI models
Technical Stack: Fluency in Python and deep learning frameworks (PyTorch, JAX, or TensorFlow). Experience with mathematical solvers (e.g., Gurobi, SCIP, CVXPY) is highly desirable.

Preferred Qualifications

Domain Exposure: While not strictly required, prior exposure to energy systems, smart grids, algorithmic trading, or complex supply chain networks is a strong plus.
Research Pedigree: A track record of publishing impactful research in top-tier AI/ML venues (e.g., NeurIPS, ICML, AAAI, AI-Stats) OR premier domain-specific journals (e.g., IEEE Transactions on Power Systems, Smart Grid).
Cross-Disciplinary Collaboration: Proven ability to translate abstract mathematical concepts into practical tools for engineering and product teams.

Apply Now

Refine Your Search

senior mechanical architect jobs in karnataka

Senior Quantitative Scientist – Grid Behavioral Modeling

Senior Structural Analysis Engineer

Senior Consultant - Asset Management (RAMS Consultant)

BIM Coordinator - Public Health

Systems Architect

Senior Consultant - Asset Management (Data Consultant)

CPU Performance & Power Analyst Staff Engineer

Facade Designer

Sr. Capacity Planner, ATO (Ads Trust Operations)

Sr Technical Lead - HW Work Package Management

PROJECT MANAGER- MEP

CPU STA CAD Engineer (Lead/Staff/Sr Staff)

Associate BIM MEP

Package Design Senior Staff Engineer

Product Support Engineer III

Senior Engineer - Electrical

Infra DV Sr Engineer

Package Layout Design Senior Staff Engineer

Senior Data Science & AI Specialist

Senior Consultant - Integrity Management (Asset Management)

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