8,153 Council Of Scientific And Industrial Research Csir Laboratories jobs in India

* *Job Description Summary***

As a Research Engineer with expertise on Tribology & Fretting in the Mechanics and Design Organization, you will focus on advancing the understanding of surface interactions, wear mechanisms, and material behavior under fretting conditions. This role involves conducting experimental research, developing predictive models, and collaborating with cross-functional teams to improve product performance and reliability of aerospace applications.

Roles overview:

• Conduct experimental studies on tribological systems, including wear, friction, lubrication, and fretting fatigue.
• Develop and validate predictive models for tribological and fretting behavior in various materials and coatings.
• Analyze surface interactions using advanced characterization techniques (e.g., SEM, XRD, profilometry, etc.).
• Collaborate with design, materials, and manufacturing teams to optimize components for improved durability and performance.
• Investigate failure mechanisms and propose solutions to mitigate wear and fretting issues in aerospace applications.
• Prepare technical reports, presentations, and documentation to communicate findings and recommendations.
• Stay updated on advancements in tribology and fretting research, and apply innovative approaches to solve engineering challenges.
• Work collaboratively in the design, analysis, and optimization of machinery components and systems under complex thermal, mechanical, and/or aero loads
• Provide leadership while working with technical team, support functions and/or external suppliers to meet project deliverables.
• Proactively identify technical challenges and help mitigate same through technical expertise to help meet project timelines and objectives.
• Collaborate and develop internal and external project proposals and initiatives.
• Provide technical guidance and significantly contribute to grow overall technical capability and product knowledge in technical focus areas.
• Foster a multidisciplinary and inclusive team environment.

Ideal Candidate:

Should have experience in component/ system design and/or analysis using Tribology & fretting expertise

Required Qualifications:

• Masters or Ph.D. in Mechanical Engineering, Materials Science, or a related field with a focus on Tribology or Fretting.
• At least 5 years of experience in component/ system design and/or analysis projects using Tribology & fretting expertise in the power generation, propulsion, automotive or oil and gas sectors.
• Strong knowledge of tribological principles, surface engineering, and material science.
• Experience with experimental setups and analytical tools for tribology and fretting studies.
• Proficiency in computational modeling tools (e.g., FEA) for simulating tribological systems.
• Excellent problem-solving skills and ability to work independently or in a team environment.
• Strong communication skills for technical reporting and collaboration.
• Strong analytical skills.
• Execution mindset and sense of urgency.
• Ability to work across all functions/levels as part of a team.
• Excellent interpersonal and communication skills in a global team environment.

Desired Qualifications:

• Experience with coatings and surface treatments to enhance wear resistance.
• Experience with the design, analysis, and optimization of machinery components (e.g., shafts, bearings, dampers, couplings, seals, gears, etc.) including conceptual design, detailed design, testing, validation, and product implementation.
• Experience with structural strength analysis, applications of structural mechanics in product design under complex loading
• Proficiency in simulation software (e.g ANSYS) & 3D modelling packages (e.g NX, SOLIDWORKS, Creo)
• Demonstrated ability to innovate and expand the state of art in areas of tribology & fretting area
• Humble: respectful, receptive, agile, eager to learn
• Transparent: shares critical information, speaks with candor, contributes constructively
• Focused: quick learner, strategically prioritizes work, committed
• Leadership ability: strong communicator, decision-maker, collaborative
• Problem solver: analytical-minded, challenges existing processes, critical thinker.

Company Description

At Konecranes, we believe that great customer experience is built on the people behind the Konecranes name. Everything we do, we do with passion and drive. We believe diversity drives business success and is the foundation for our growth. We welcome different backgrounds and skills that enrich our community and we promote a place where we can ALL be ourselves. This is what makes Konecranes a unique place to work.

Job Description

We are looking for a highly skilled Embedded Systems Engineer with Good experience in both hardware design and embedded software development. strong passion for innovation, emerging technologies, and system-level thinking. In this role, you'll push boundaries in product design, collaborating across disciplines to develop next-generation solutions. You will be a key contributor to our innovation strategy—ideating, prototyping, and iterating solutions that anticipate future trends.

Key Responsibilities:

Hardware Responsibilities:

• Design and develop custom embedded hardware platforms, including schematic capture, PCB layout, and hardware bring-up.
• Select and integrate microcontrollers, sensors, communication modules, and power management components.
• Perform hardware validation and testing, including signal integrity.

Software Responsibilities:

• Develop and debug firmware and low-level software.
• Interface with sensors, actuators, communication stacks (I2C, SPI, UART, CAN, BLE, Wi-Fi, etc.)
• Working experience with general purpose development board meaning will be added Advantage such as Raspberry, ESP32-S3-DevKitC-1, Discovery Kit with STM32MP157D MPU etc.

System-Level Responsibilities:

• Collaborate cross-functionally with mechanical, software, UX/UI, data, and cloud/backend teams to deliver complete solutions.
• Participate in innovation sprints, feasibility studies, and new product exploration.
• Awareness of ISO 14001 & 45001 standards

The role is based in our office in SP Infocity, Hadapsar, Pune – but it goes without saying that the remote & hybrid working is a part of our modern ways of working.

Qualifications

To achieve these goals,

• Bachelor's or master's degree in electronic engineering or related field.
• 5+ years of hands-on experience in embedded Product development.
• Curious and adaptive driven to explore new technologies and unconventional ideas
• Strong in systems thinking, seeing the full product lifecycle and integration across domains
• Skilled in creative problem-solving, lateral thinking, and iterative design
• Demonstrates resilience, risk-taking, and a proactive approach to technical challenges
• Strong communicator who can clearly present complex ideas to both technical and non-technical audiences
• Committed to ethical, user-centric design and long-term sustainability in engineering solutions.

Additional Information

What we offer to you

• Work on next-generation embedded platforms and devices
• Collaborate with cross-functional teams across the full product development cycle
• Opportunities for professional growth and technical leadership
• You will be able to work in a corporate in-house role and to collaborate with global teams.
• As we trust in Winning Together, we offer continuous learning and development which means that you will also get equal opportunities for self-development as a leader.
• Driving for better we offer a flexible & inclusive work environment where you can be yourself and enjoy Work-Life balance.
• We believe Doing the right thing by offering Competitive Salary.
• At Konecranes you will be working with leading crane building company with leading technology.

Explore more about life at Konecranes.

Interested?

Do you have what it takes to join our community and take a key role in our Research Engineering team? If yes, please submit your application with CV as soon as possible, latest by via the Apply link below.

For questions, feel free to contact Global Talent Acquisition Specialist Kanchan Mahajan via kanchan.mahajanor via LinkedIn

Konecranes moves what matters . We are a global leader in material handling solutions, serving a broad range of customers across multiple industries. We consistently set the industry benchmark, from everyday improvements to the breakthroughs at moments that matter most, because we know we can always find a safer, more productive and sustainable way. That's why, with professionals in over 50 countries, we are trusted every day to lift, handle and move what the world needs.

Konecranes is committed to ensuring that all employees and job applicants are treated fairly in an environment which is free from any form of discrimination.

About us

At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.

We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why and how we canwork together.

We are seeking a skilled Solid Mechanics engineer to drive innovation and enhance our well performance across global assets. The role involves a combination of technical, analytical, and project management responsibilities to drive innovation and efficiency in upstream oil and gas operations and carbon capture and storage (CCS).

• Build computational models and simulations using proprietary and vendor tools to enhance design and operational practices and address evolving business needs.
• Design, build and execute parametric studies using simulation models to provide engineering design recommendations for business decisions. Conduct research and development on new technologies, methods, or best practices.
• Work with wells engineers, drilling and completion experts, computational and data scientists, and laboratory scientists across the globe to enhance understanding of subsurface technologies and tools.
• Create tutorials, documentation, training material or case studies. Prepare technical reports, presentations, and documentation for internal and external stakeholders.
• Mentor other engineers to help build their technical competencies in solids/fracture mechanics and modeling.

Skills and Qualifications

• Master's or PhD in Mechanical engineering, Aerospace engineering, Civil Engineering, or related disciplines with a minimum GPA 7.0.
• Up to 3 years of research/industrial experience in applying solids mechanics principles in solving business problems in the energy industry.
• Strong Solid Mechanics and Finite Element Method fundamentals and experience of working with a Finite Element tool (ABAQUS preferred)

• Familiarity with data manipulation and visualization in any programming language (preferably Python or MATLAB) for analyzing experimental,simulation or sensor data.
• Experience in working with problems related to geomechanics, fracture mechanics is preferred.
• Experience in data science (e.g., machine learning, optimization) will be an added advantage.
• Demonstrated teamwork, communication and leadership skills are essential.

An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you:

• Competitive compensation
• Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits
• Retirement benefits
• Global networking & cross-functional opportunities
• Annual vacations & holidays
• Day care assistance program
• Training and development program
• Tuition assistance program
• Workplace flexibility policy
• Relocation program
• Transportation facility

Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company's eligibility guidelines.

• Learn more about ExxonMobil in India, visit ExxonMobil Indiaand Energy Factor India.
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ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status.

ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil.

Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.

Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

DEPARTMENT: Research and Development

BUSINESS UNIT: Corporate

REPORTS TO: Head of AI

DIRECT REPORTS: No

POSITION OVERVIEW

The Research Engineer plays an important role to develop models and prototypes in areas such as Artificial Intelligence, Machine Learning, Optimization, and various mathematical algorithms to solve supply chain problems and confirm the value and potential business value quantification.

RESPONSIBILITES:

• Assist senior team members for defining and prototyping mathematical, optimization, machine learning models for select supply chain problems.
• Build proof of concepts based on the guidance from senior team members
• Study and keep current on supply chain, mathematical and industrial research related to supply chain
• Help Product Managers with analysis of functionality requirements and suggest mathematical models to represent them. Develop new algorithms for the products.
• Write product specifications for development team for incorporating algorithms and mathematical models into products for general availability.
• Other tasks and activities as assigned.

QUALIFICATIONS AND EXPERIENCE:

• S./Ph.D. degree in a mathematical/statistical, computer science, and/or operations research.
• Solid optimization (e.g., linear programming), machine learning, mathematical and statistical foundation.
• Must have computer programing experience.
• Proven problem-solving, critical thinking, negotiation, and decision-making skills.
• Excellent interpersonal and communication skills.

PHYSICAL REQUIREMENTS:

• General office environment and responsibilities requiring:

• Extensive use of the computer which involves viewing a monitor and keyboarding for most of the workday.

• Placing and receiving phone calls
• May require travel as needed.

Position Summary

We're building safety first video telematics products (ADAS/DMS/driver behavior analytics) that run efficiently on edge devices inside commercial vehicles. You will write modern C++ software, integrate and optimize CV/ML pipelines, and ship reliable, low latency perception features such as driver monitoring and distance estimation from camera feeds.

Key Responsibilities

· Own C++ software modules for on device video capture, preprocessing, inference, and post processing on Linux.

· Implement classical image processing pipelines (denoise, resize, color space, undistortion) and CV algorithms (keypoints, homography, optical flow, tracking).

· Build and optimize distance/spacing estimation from monocular/stereo camera(s) using calibration, geometry, and/or depth‑estimation networks.

· Integrate ML models (PyTorch/TensorFlow → ONNX/TensorRT/NNAPI/NPU runtimes) for DMS/ADAS events: drowsiness, distraction/gaze, phone‑usage, smoking, seat belt, etc.

· Hit real time targets (FPS/latency/memory) on CPU/GPU/NPU using SIMD/NEON, multithreading, zero copy buffers.

· Write clean, testable C++, CMake builds, and Git based workflows (branching, PRs, code reviews, CI).

· Instrument logging/telemetry; debug with gdb/addr2line, sanitize and profile with perf/valgrind.

· Collaborate with data/ML teams on dataset curation, labeling specs, training/evaluation, and model handoff.

· Work with product & compliance to meet on road reliability, privacy, and regulatory expectations.

Qualifications

· B.Tech/B.E. in CS/EE/ECE (or equivalent practical experience).

· 2–3 years in CV/ML or video‑centric software roles. Hands on in
modern C++
on Linux, with strong
Git
and
CMake
.

· Solid
image processing
and
computer‑vision
foundations (camera models, intrinsics/extrinsics, distortion, PnP, epipolar geometry).

· Practical experience integrating
CV/ML models
on device (OpenCV + ONNX Runtime/TensorRT/NCNN/MediaPipe/NNAPI).

· Experience building
real time pipelines
for live video (GStreamer/FFmpeg, RTSP/RTMP, ring buffers), optimizing for
latency & memory
.

· Competence in
multithreading/concurrency
, lock free queues, and producer–consumer designs.

· Comfort with
debugging & profiling
on Linux targets.

Reporting To: Technical Lead ADAS

Requisites:

· Experience with
driver monitoring
or
ADAS
features; event logic and thresholding for production alerts.

· Knowledge of monocular depth estimation, stereo matching, or structure from motion for
distance estimation
.

· Model training exposure (
PyTorch/TensorFlow
): augmentation, evaluation (precision/recall, ROC/PR), quantization/pruning, conversion to ONNX/TensorRT/NCNN.

· Hardware acceleration (GPU/VPU/NPU, Arm
NEON
/DSP), YOLO/RT DETR/Lightweight backbones on edge.

· Cross compiling, Yocto/Buildroot, containerized toolchains; unit tests (gtest), static analysis (clang tidy, cppcheck), sanitizers.

· Basic familiarity with
MQTT/IoT
, message schemas, and over the air updates.

Technical Competency:

·
Languages:
C++, Python

·
CV/ML:
OpenCV, ONNX Runtime/TensorRT/NCNN/MediaPipe; PyTorch/TensorFlow (for training/eval).

·
Video:
GStreamer/FFmpeg, V4L2, RTSP/RTMP.

·
Build/DevOps:
CMake, Git, gtest, clang‑tidy, sanitizers; CI/CD (GitHub/GitLab/Bitbucket).

·
Debug/Perf:
gdb, perf, valgrind

Key Responsibilities:

Model Development & Optimization

• Design and implement AI/ML models for online spectacles centration, fitting and online refraction.
• Develop models for online visual acuity assessment, screen-based testing, or optical prescription estimation.
• Develop models that replaces and enhances online measurement approaches through innovative data and AI-supported methods. With the midterm goal: Data replaces measurement.
• Implement and launch AI based solutions, fulfilling regulatory and legal requirements.

Data Handling & Preprocessing

• Work with multi-modal datasets
• Ensure that necessary data is gathered accurately and efficiently.
• Annotate, normalize, and augment vision-related data for robust model training.

Collaboration & Validation

• Collaborate with vision science experts, optometrists, and product teams to align on accuracy and reliability metrics.
• Validate AI models through lab or clinical studies when applicable.

Documentation & Compliance

• Ensure proper documentation of models, data practices, and support regulatory alignment (e.g., MDR, HIPAA, DPDPA, GDPR if applicable).

Minimum Qualification:

• Education : Master's (preferred) or Bachelor’s in Computer Science, AI, Biomedical Engineering, Applied Physics, or related fields.

• Experience : 2+ years of experience in AI/ML, with at least 1 year in or healthcare/vision-based applications .

Core Technical Skills (Must-Have):

• Programming- Python (must), OpenCV, NumPy, Pandas
• ML/DL Frameworks- TensorFlow, PyTorch, scikit-learn, Keras
• Mathematical Foundations- Linear algebra, optimization, statistical signal processing
• Data Handling- Image/video pipeline handling, image annotation tools, real-time stream processing
• Version Control- Git, Jupyter, API documentation best practices