Computer Organization and Software Systems,

Systems for AI, Databases, Data Structures and

Algorithms, Distributed Computing and Systems

ADLC (Agentic development life cycle), Advanced

Software Architecture, Cloud Native Application

Development, Conversational AI, Advanced DevOps

and Observability Engineering, Software

Engineering for Machine Learning, Responsible AI

Product Discovery and Requirements Engineering,

Product Strategy and Planning, Communication

Estimation and Negotiation, Product Analytics,

User Experience Design

Cloud Security, Cyber Forensics, IoT Security,

Secure Software Engineering, Cloud Economics/FinOps,

Design and Operation of data centres, AIOps,

AI workloads on the cloud, Cloud sustainability

and green computing, Edge AI

NLP, information retrieval, LLMs, retrieval-augmented

generation, reasoning and planning, conversational

and agentic AI.

Computer vision, video and 3D vision, speech/audio

processing, computational imaging and multimodal AI

MLOps, distributed and edge AI, ML system optimization,

AI system architecture, fairness, interpretability,

robustness, security and privacy.

Modern and distributed databases, big-data systems,

cloud and distributed computing, data warehousing,

storage and stream processing

Data pipelines, DataOps, cloud-native data solutions,

observability, data architecture, governance,

provenance, lineage, privacy and security

AI-ready data preparation, generative and

agentic data applications, NLP and conversational

data systems

AI & ML in Business Applications, Generative AI

& LLMs, Agentic AI, Natural Language Processing,

Management of AI Products

Decision Sciences, Data Strategy and Governance,

Big Data Analytics, Business Data Mining

Digital Transformation Strategies, Digital Technologies

for Business, Digital Product Management, Digital Trust,

Cybersecurity, Blockchain and Applications

FinTech Business Models, Financial Analytics

Health Systems Management, Healthcare Analytics,

Digital Transformation in Healthcare, Clinical Trials

Management

Corporate Strategy, Strategic Innovation, Management

Consulting, Entrepreneurship, Digital Business Consulting

Supply Chain and Logistics Management, Sustainable

Supply Chains, Digital Supply Chains, Supply Chain

Risks & Resilience Management

1.  Model based design: Model based design  –

MATLAB/Simulink, Stateflow, Embedded Coder

2. CAE: Any of these software skills- Siemens NX CAE,

ANSYS CFD, MATLAB MBD  ANSYS, Abaqus, NX, CATIA,

CFD/FEA
3. Design for additive manufacturing: Topology

optimization, Lattice structures, Fusion 360,

EOS/ SLM systems, Polymer & Metal Additive

Processes- 01 Nos

4. Design of robots and mechanisms

1.  Cybersecurity in Manufacturing and Industrial

Automation: Industrial Control System and SCADA

security; PLC, HMI and industrial network security,

Industrial IoT and connected manufacturing security;

OT asset discovery, vulnerability assessment and

risk analysis; Secure industrial protocols such as

Modbus, OPC UA, Profinet and MQTT; OT intrusion

detection and anomaly detection; Network segmentation,

secure remote access and incident response;

Security of legacy equipment, robotics and cyber-physical

systems; IEC 62443, NIST and related

OT cybersecurity standards

2. Industrial Robotics: Industrial robot programming and

integration; Robotic workcell design and commissioning;

Robot kinematics, trajectory planning and control;

Machine vision-guided robotics; End-of-arm tooling

and robotic gripper design; Human–robot collaboration

and robot safety; Digital twins and virtual commissioning

of robotic systems; PLC–robot–vision integration;

Autonomous mobile robots and flexible automation;

Predictive maintenance and performance

monitoring of robotic systems

Chemical Process Simulation, Process Engineering,

Process Design, Industrial Process Optimization

Physical Metallurgy, Extractive Metallurgy,

Process Metallurgy, Metallurgical Thermodynamics,

Materials Characterization, Process Safety and

Environmental Aspects in Metallurgy

1.  Electric and hybrid vehicles and their architectures,

battery management systems, and traction motors

2.  Automotive embedded systems

3.  Automotive diagnostics, functional safety,

Automotive Safety Integrity Levels (ASIL) & ISO 26262,

and Safety of Intended Functionality (SOTIF)

1.      Embedded systems for energy applications –

knowledge of Microcontrollers & communication

protocols, Embedded C programming and its

application in Automotive domain

2.      Materials and manufacturing for energy systems

Automotive cyber security, Automotive embedded

system security, penetration testing and related standards.

1. AI/ML, ADAS, Autonomous Vehicles including ROS 2,

Autoware, Python and C++ programming), automotive

microcontrollers and embedded systems, automotive

control systems (body, power train, and motion control),

autotronics

2.  Connected cars and Telematics

3.  Infotainment systems and UX/UI design

4.  SDV automotive E/E architecture, foundational

technologies for SDV, SOA, SDV AI agent and GenAI

engineering

1.   Infrastructure Engineering: Urban infra, oil & gas,

railways, water, buildings and factories

(residential and commercial), transmission & distribution

2. Structural Engineering: Analysis of structures,

construction planning and technology, soil mechanics,

foundation engineering, design of RC structures,

earthquake engineering, steel and concrete

structures, bridge engineering,

3. Transportation Engineering: Highway design,

traffic engineering, urban mass transit planning,

pavement analysis and design, soil exploration, road safety.

Pharmaceutical operations & management: Quality

Assurance & Regulatory Affairs,

Pharmaceutical Process Development

& Scale-up, Advanced Physical Pharmaceutics, Modern

Analytical Techniques, Dosage Form Design, TQM Tools

and Techniques, AI/ML in drug discovery, clinical trials

and automated manufacturing

Environmental chemistry, environmental biotechnology,

environmental management, environmental sampling

and analytics, applied transport phenomena, environmental

remote sensing and GIS, energy generation and management

in waste treatment plants, biological treatment principles

and design of wastewater systems, environmental modeling,

solid waste management, air pollution and control,

environmental impact and risk assessment,

environmental statistics, environmental process engineering

Instruction-set architecture, pipelining, memory

hierarchy, caches and processor performance.

Experience in tools like chipyard, simple scalar,

RTL modelling, simulation and FPGA-based processor

implementation is desirable. Demonstrated proficiency

with Verilog/SystemVerilog, AMD Vivado/Vitis,

Altera Quartus Prime, Arm Development Studio or Keil MDK.

Microcontrollers, embedded C/C++, sensor interfacing

and standard serial interfaces is required. Experience

in IoT connectivity, PCB design, FPGA/MCU implementation,

debugging and end-to-end laboratory development.

Experience in tools like Arm Keil MDK, NXP MCUXpresso,

STM32CubeIDE/STM32CubeMX and Microchip

MPLAB X/Harmony.

Verilog/SystemVerilog, RTL design, computer

architecture and SoC/NoC concepts. Experience

with synthesis, FPGA prototyping.

Demonstrated proficiency with Cadence

Genus/Innovus, Synopsys Fusion Compiler or

Design Compiler, Siemens Aprisa, and industry-standard

RTL simulation tools is expected.

SystemVerilog, UVM, assertions, constrained-random

verification, coverage and formal methods. Experience

with emulation, regression automation, debugging and

Cadence, Synopsys or Siemens verification tools.

Demonstrated proficiency with Cadence Xcelium,

Jasper and Verisium; Synopsys VCS, Verdi and

VC Formal; or Siemens Questa One.

Synthesis, floorplanning, placement, CTS, routing, STA

and timing closure. Experience with power integrity,

signal integrity, physical verification, extraction and

sign-off tools is required. Demonstrated proficiency

with Cadence Genus, Innovus, Tempus, Voltus and

Pegasus; Synopsys Fusion Compiler, PrimeTime,

StarRC and IC Validator; or Siemens Aprisa and Calibre

Machine-learning methods for design-space exploration,

optimization, verification automation and EDA analytics.

Proficiency in Python and experience applying AI/ML to RTL,

physical design, test or verification problems is desirable.

Demonstrated proficiency with Python ML frameworks

together with Cadence Cerebrus/Verisium, Synopsys.ai capabilities

or Siemens Questa One analytics

proficient in C/C++, microcontrollers, ARM-based architectures,

SoCs, sensor interfacing and PCB design. Hands-on ability

in firmware development, debugging.

Demonstrated proficiency with Arm Keil MDK, NXP MCUXpresso,

STM32CubeIDE/STM32CubeMX and Microchip MPLAB X/Harmony.

Configuring and using Arm Cortex-M platforms, NXP FRDM/MCX

and i.MX RT boards, STM32 Nucleo/Discovery kits, Microchip

SAM/PIC32 boards, debuggers and logic analyzers.

Expertise in real-time scheduling, concurrency, interrupts,

synchronization and RTOS-based application design is

required. Experience with timing analysis, device

interfacing and debugging on commercial or open-source

RTOS platforms is desirable. Demonstrated proficiency

with FreeRTOS, Zephyr, QNX, Arm Keil RTX, NXP S32 Design

Studio, Tracealyzer and vendor IDE/debug tools is

expected. Applicants should be capable of configuring

and using NXP S32K/MCX or i.MX RT boards, STM32

Nucleo/Discovery kits, Microchip SAM/PIC32 boards,

real-time I/O modules and JTAG/trace probes.

Linux internals, boot flow, kernel configuration, device trees,

middleware and driver development. Proficiency in C/C++,

build systems, debugging and hardware bring-up on

ARM/SoC platforms is expected. Demonstrated

proficiency with Yocto Project, Buildroot, Linux kernel/device-tree

workflows, NXP Linux BSPs and AMD PetaLinux. Configuring

and using NXP i.MX application-processor boards, NVIDIA

Jetson Orin, AMD Zynq/Kria, Arm-based single-board

computers and peripheral/interface modules.

Deploying AI/ML models on constrained edge platforms

and integrating them with sensors and actuators. Familiarity

with automotive or robotic embedded architectures,

hardware-software co-design and real-time validation

is desirable. Demonstrated proficiency with NVIDIA

JetPack, CUDA, TensorRT and Isaac ROS; NXP eIQ/MCUXpresso;

STM32Cube.AI; and relevant model-conversion tools is

expected. Applicants should be capable of configuring

and using NVIDIA Jetson Orin, NXP i.MX RT/i.MX or S32

platforms, STM32 boards, cameras, IMUs, motor-control

hardware and robotic sensor-actuator kits.

Expertise in robot kinematics, rigid-body dynamics,

control systems and trajectory generation. Proficiency

in MATLAB/Simulink, Python/C++ and simulation-based

laboratory development is desirable. Demonstrated

proficiency with MATLAB/Simulink/Simscape, ROS 2,

Gazebo, MoveIt 2, MuJoCo or equivalent modelling

environments is expected. Applicants should be capable

of configuring and using robot manipulators or mobile

robots, servo/BLDC/stepper drive kits, force/torque

sensors, encoders and real-time embedded controllers

Skilled in localization, SLAM, path and motion planning,

trajectory optimization and autonomous navigation.

Hands-on experience with ROS 2, Gazebo, MoveIt 2,

Python/C++ and mobile-robot platforms is expected.

Demonstrated proficiency with ROS 2, Nav2, Gazebo,

MoveIt 2, CARLA, Python/C++ and NVIDIA Isaac ROS is

expected. Applicants should be capable of configuring

and using NVIDIA Jetson Orin, mobile-robot platforms,

LiDAR, depth cameras, GNSS/IMU modules, wheel encoders

and real-time compute/control boards

Embedded platforms, edge AI, learning-based control

and intelligent decision-making for autonomous systems.

Experience integrating perception, planning and control

on real robotic hardware with safety-aware validation

is preferred. Demonstrated proficiency with NVIDIA

JetPack, CUDA, TensorRT, Isaac ROS, ROS 2 and edge-model

deployment frameworks is expected. Applicants should

be capable of configuring and using NVIDIA Jetson

Orin, NXP i.MX/MCX, STM32 or Microchip control boards,

robot platforms, sensors, actuators and safety interfaces

Semiconductor device physics, CMOS devices and

wafer-fabrication fundamentals. Experience with

TCAD simulation, cleanroom processes and device

characterization is desirable. Demonstrated proficiency

with Synopsys Sentaurus Process/Device/Workbench,

Silvaco Victory Process/Device/TCAD Lab and suitable

numerical-analysis tools is expected. Applicants should

be capable of configuring and using FinFET, FDSOI,

bulk CMOS, power-device and emerging-device

simulation decks, PDK data, SPICE models and

device-characterization datasets

Expertise in process flows, module integration,

thermal budgets, design rules and technology

development is required. Candidates should

understand process-device interactions, yield

implications and integration challenges across

CMOS nodes. Demonstrated proficiency with

Synopsys Sentaurus TCAD, Silvaco Victory

Process/Device, design-of-experiments and

process-integration analysis tools is expected.

Applicants should be capable of configuring and

using foundry-style process design kits, mask/layout data,

rule decks, process recipes and FinFET/FDSOI/GAA

technology-development.

Expertise in the principles, equipment and process

windows associated with major wafer-fabrication

steps. Experience in process characterization,

defect control, equipment operation and cleanroom

safety is preferred. Demonstrated proficiency with

Silvaco Victory Process, Synopsys Sentaurus

Process/Topography and process-visualization

or DoE tools is expected. Applicants should be

capable of configuring and using process recipes,

layout masks, equipment datasets and, preferably,

exposure to cleanroom lithography, deposition,

etch, oxidation and implantation systems