8,625 Feature Engineering jobs in India

Description

/Preferred Qualifications

Key Responsibilities

Develop algo focusing on CUDA acceleration, CPU to GPU conversion of image processing algos and models

Stay updated  with emerging technologies and industry best practices. Bring new ideas to the team by exploring modern frameworks or tools that could enhance the platform’s capabilities.

Required Qualifications

Education:  Master’s degree in Computer Science or a related field, or  Bachelor’s degree in Computer Science (or related) with at least 3 years  of hands-on web application development experience

Experience:  Minimum 3+ years  of professional algo development experience focusing on CUDA acceleration, CPU to GPU conversion of image processing algos and models. Proven track record of delivering software projects from design to deployment.

Programming Skills:  Deep understanding of operating systems, computer networks, and high performance applications. Good mental model of the architecture of a modern distributed systems that is comprised of CPUs, GPUs, and accelerators. Experience with deployments of deep-learning frameworks based on TensorFlow, and PyTorch on large-scale on-prem or cloud infrastructures. Strong background in modern and advanced C++ concepts. Strong Scripting Skills in Bash, Python, or similar.Good communication with the ability to write clean, efficient, and well-documented code.

Team Collaboration:  Strong communication skills and ability to work effectively in a cross-functional team  setting. Comfortable collaborating with diverse team members (developers, testers, domain experts) and conveying technical ideas clearly.

Adaptability:  A willingness to learn  new technologies and adapt to evolving project requirements. Enthusiasm for working in a dynamic, fast-changing environment  where priorities may shift as the project grows

Preferred Qualifications (Nice-to-Haves)

HPC/Simulation Background:  Experience working on projects involving scientific computing, simulations, or HPC applications. Familiarity with parallel computing concepts or engineering simulations (CFD, FEA, etc.) can help in understanding the platform’s context

DevOps & CI/CD:  Hands-on experience with DevOps tools and workflows. Knowledge of setting up CI/CD pipelines using platforms like Azure DevOps , Jenkins, or GitHub Actions to automate build and deployment processes

.

Containerization & Cloud:  Experience with container technologies (Docker) and orchestration (Kubernetes) for deploying microservices is a plus. Familiarity with cloud services or infrastructure (Azure, AWS, etc.) for scalable deployment environments

Minimum Qualifications

Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Description

/Preferred Qualifications

You will be part of a Artificial Intelligence and High Performance Computing group that develops algorithms and software solutions that enhance the performance of our inspection tools.

Your responsibilities will include:

Data/problem analysis

Research the solution space

Develop concepts

Prototype and validate concepts

Specify software requirements

Software/algorithm development (productization/programming)

Minimum Qualifications

Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

**Change the world. Love your job.**
Your career starts here! This is an exciting opportunity to design and develop innovative software solutions that drive TI's revolutionary product lines. We change lives by working on the technologies that people use every day. Are you ready for the challenge?
The Consumer Audio Amplifier and Haptics product line is hiring an Audio DSP Algorithm engineer to support its Smart Amplifier and haptics products. In this role you will be part of a team that develops and implements real-time audio processing solutions to deliver innovative audio and actuator controls through audio amplifiers and haptics. Candidate will be responsible for designing developing, optimizing, debugging and testing Audio and Haptics including speaker protection, audio enhancements, Haptics control and non-linear control algorithms. The candidate should be proficient in Matlab/Simulink, Python, embedded C. Engineer will collaborate with multiple teams across design, systems and application to integrate the algorithm on TI audio devices.
**Key responsibilities include:**
+ Design and implement Speech, Audio and haptics algorithms on Matlab/Simulink/Python and Implement on embedded C, neural network accelerators based Digital Signal Processors
+ Develop and optimize algorithm DSP algorithms to ensure real-time performance and minimal latency using signal processing and machine learning techniques
+ Participate in code reviews and create documentation for projects including block diagrams, state diagrams, coding specifications and product descriptions
+ Develop unit tests and performance benchmarks to validate algorithm performance and robustness. Analyze and debug issues related to audio quality and system performance
**Why TI?**
+ Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
+ We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI ( Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us.
**About Texas Instruments**
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com .
Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment.
If you are interested in this position, please apply to this requisition.
**Minimum Requirements:**
+ Master's degree with specialization in signal processing
+ 3+ years' experience in Audio signal processing algorithm development
+ MATLAB, Python, C programming experience required
+ Experience in audio, speech, DSP, and embedded systems.
+ Deep understanding of Signal processing, DSP fundamentals, Deep Neural Network preferably in audio
+ Hands-on experience in signal processing techniques such as digital filter design (IIR, FIIR), adaptive filtering, sub-band processing, frequency domain processing and non-linear compensation
+ Strong debugging/trouble-shooting skills of embedded systems
**Preferred Qualifications:**
+ Experience with digital signal processing techniques
+ Bringing up audio hardware and prototyping systems
+ Ability to work with a cross domain teams or independently as needed
+ Knowledge of AI/ML algorithms and tools such as PyTorch/Tensorflow, deep learning or natural language processing and familiarity with common neural network architectures namely LSTMs, CNNs and RNN is a plus
**ECL/GTC Required:** Yes

Description

:

The opportunity:

We are looking for a highly analytical and creative Mathematician or Physicist or Engineer to join our cross-functional optimization team. This role will focus on developing, validating, and refining mathematical models and algorithms that drive optimization across product design, manufacturing processes, and material systems. Working closely with mechanical/electrical engineers and software developers, you will play a critical role in enabling data-driven decision-making and computational efficiency in areas such as lead time reduction, material and weight optimization, process improvement, and chemical composition refinement.

How you’ll make an impact:

Develop and formalize mathematical models and optimization algorithms to support engineering objectives such as lead time reduction, material efficiency, and process optimization.

Collaborate with mechanical/electrical engineers to translate physical system constraints and performance goals into solvable mathematical formulations.

Work with software developers to integrate algorithms into custom tools and platforms, ensuring computational efficiency and scalability.

Continuously validate and improve existing algorithms in the Optimization System using real-world data, simulations, and feedback from engineering teams.

Apply principles from applied mathematics, physics, and numerical methods to solve complex multi-variable optimization problems across design, manufacturing, and materials domains.

Support the development of predictive models and simulations for chemical composition optimization and structural performance.

Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines. 

Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.

Your background:

Master’s or Ph.D. in Mathematics, Physics, Applied Mathematics, or a related field.

Bachelor’s degree in any engineering or a related field, with 3 to 6 years of relevant experience

Strong foundation in optimization theory, numerical methods, and mathematical modelling.

Experience with programming languages such as Python, MATLAB for algorithm development.

Ability to work collaboratively in a multidisciplinary team involving engineers and software developers.

Excellent analytical thinking, problem-solving, and communication skills.

Ability to work independently and as part of a team in a fast-paced environment.

Proficiency in both spoken & written English language is required

Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.

This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response. 

Description

/Preferred Qualifications

Key Responsibilities

Develop algo focusing on optical modeling and computational geometry-based image processing algos and models

Stay updated  with emerging technologies and industry best practices. Bring new ideas to the team by exploring modern frameworks or tools that could enhance the platform’s capabilities.

Understanding on Graph algorithms , spatial data structures, and numerical optimization with efficient handling of geometric queries and transformations

Required Qualifications

Education:  Master’s degree in Computer Science or a related field, or  Bachelor’s degree in Computer Science (or related) with at least 3 years  of hands-on image processing algos

Experience:  Minimum 3+ years  of professional algo development experience focusing on Graph algorithms, spatial data structures, and numerical optimization with efficient handling of geometric queries and transformations. Proven track record of delivering software projects from design to deployment.

Programming Skills:  Deep understanding of operating systems, computer networks, and high performance applications. Good mental model of the architecture of a modern distributed systems that is comprised of CPUs, GPUs, and accelerators. Proficiency in Python (especially with libraries like trimesh, numpy, scipy, pandas). Experience with C++ or Rust is a plus for performance-critical geometry tasks. Strong background in modern and advanced C++ concepts. Strong Scripting Skills in Bash, Python, or similar.Good communication with the ability to write clean, efficient, and well-documented code.

Team Collaboration:  Strong communication skills and ability to work effectively in a cross-functional team  setting. Comfortable collaborating with diverse team members (developers, testers, domain experts) and conveying technical ideas clearly.

Adaptability:  A willingness to learn  new technologies and adapt to evolving project requirements. Enthusiasm for working in a dynamic, fast-changing environment  where priorities may shift as the project grows

Preferred Qualifications (Nice-to-Haves)

HPC/Simulation Background:  Experience working on projects involving scientific computing, simulations, or HPC applications. Familiarity with parallel computing concepts or engineering simulations (CFD, FEA, etc.) can help in understanding the platform’s context

DevOps & CI/CD:  Hands-on experience with DevOps tools and workflows. Knowledge of setting up CI/CD pipelines using platforms like Azure DevOps , Jenkins, or GitHub Actions to automate build and deployment processes

.

Containerization & Cloud:  Experience with container technologies (Docker) and orchestration (Kubernetes) for deploying microservices is a plus. Familiarity with cloud services or infrastructure (Azure, AWS, etc.) for scalable deployment environments

Minimum Qualifications

Master's Level Degree and 3+ years related work experience; Bachelor's Level Degree and 5+ years  of professional algo development experience focusing on Graph algorithms, spatial data structures, and numerical optimization with efficient handling of geometric queries and transformations. Proven track record of delivering software projects from design to deployment.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Description

/Preferred Qualifications

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and in 2019 we invested 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division

With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The LS-SWIFT Division of KLA’s Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry’s most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface (frontside, backside, and edge) macro inspection that is critical for automotive IC, MEMS, and advanced packaging processes as well as foundry/logic and memory fabs. LS-SWIFT operates from a global footprint that includes the US, Singapore, India and Germany, and serves a worldwide customer base across Asia, Europe and North America.

Responsibilities

Design, development and implementation of cutting-edge deep computer vision, signal processing, traditional machine learning or image processing algorithms.

Rapid prototyping and validation of new image processing, machine learning related ideas.

Develop end to end solutions that are holistic considering the system, imaging pipeline, the user experience and the end application requirement 

Work in a highly cross functional organization to participate/drive systems integration of algorithms. 

Write robust production quality code. 

Own prototype to production of algorithms 

Strong background in one or more of the following areas:

Signal processing, machine Learning, deep learning, computer vision, image processing 

Proficiency in C/C++, Matlab, python and object-oriented design

Experience in design and rendering software is a plus

Knowledge of common deep learning frameworks like TensorFlow, PyTorch

Ability to formulate problems into mathematical equations. 

Team player with excellent written and verbal communication skills. 

Ability and willingness to travel worldwide to support demos and projects at customer sites. 

Minimum Qualifications

Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Our client is at the forefront of scientific innovation, seeking a brilliant and visionary Lead Quantum Computing Researcher to join their fully remote, world-class R&D team. This is a unique chance to push the boundaries of theoretical and applied quantum computing. You will be instrumental in developing novel quantum algorithms, exploring their practical applications across various scientific domains, and contributing to groundbreaking research that could redefine computational science. As a remote-first organization, we foster a collaborative and agile environment where innovation thrives regardless of geographical location.

Key Responsibilities:

• Lead the research and development of new quantum algorithms for complex problem-solving.
• Design and simulate quantum computing experiments and protocols.
• Analyze the performance and scalability of quantum algorithms on different hardware architectures.
• Collaborate with a multidisciplinary team of physicists, computer scientists, and mathematicians to identify high-impact research areas.
• Publish research findings in top-tier scientific journals and present at international conferences.
• Mentor and guide junior researchers and PhD students.
• Develop and maintain high-quality code for quantum simulations and algorithm implementation (e.g., using Qiskit, Cirq, Pennylane).
• Contribute to grant proposals and secure research funding.
• Stay at the cutting edge of quantum information science, quantum mechanics, and computational complexity theory.

Qualifications:

• Ph.D. in Physics, Computer Science, Mathematics, or a closely related field with a specialization in quantum computing or quantum information.
• A strong publication record in peer-reviewed journals and conference proceedings.
• Demonstrated expertise in developing and analyzing quantum algorithms (e.g., Shor's, Grover's, QAOA, VQE).
• Proficiency in programming languages such as Python, and experience with quantum computing libraries.
• Deep understanding of quantum mechanics, quantum information theory, and quantum error correction.
• Experience with quantum hardware platforms (superconducting qubits, trapped ions, photonic systems) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional written and verbal communication skills, with the ability to explain complex concepts clearly.
• Proven leadership abilities and experience mentoring research teams.

This is an unparalleled opportunity for a researcher passionate about the transformative potential of quantum computing to drive significant scientific advancements from the comfort of their home office.

Description

/Preferred Qualifications

Expected Background

New/recent College graduates in Ph.D, MS in EE/CS/CSE. Bachelors graduates will also be considered with exceptional background and prior experience.

Hands-on experience with GPU programming using CUDA, OpenCL or SYCL, and modern CPU programming constructs such as those in C++-14 / C++-17/C++-20

Exposure to profiling tools such as NSIGHT or VTUNE

Strong foundation in computer architecture, with interest in high performance parallel processing at the device level (GPUs or CPUs/SIMD)

Strong mental model of computational loads and ideas on how to map different algorithms to parallel architectures

Self motivation and a desire to learn

Bonus Skills

Previous experience or a curiosity to learn solution techniques for solving computational physics problems using modern HPC

Experience with large-scale distributed HPC systems

Familiarity with HPC frameworks like TensorFlow, JAX, Open AI Triton etc.

Minimum Qualifications

New/recent College graduates in Ph.D, MS in EE/CS/CSE. Bachelors graduates will also be considered with exceptional background and prior experience

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

**Job Description:**
**Roles & Responsibilities:**
The Individual in this role will
+ Review Front Door and Jira documentation submitted to and created by the Algorithm Development team
+ Work with Focus Area Lead to analyze data feeds and provide feedback to STORM platform team regarding feed readiness. Document and capture feed information as part of feed onboarding process
+ Working with Focus Area Lead based on Work Plan, research threat scenarios determine data sets required, develop algorithms for threat detection.
+ Testing and onboarding alarms via team's processes.
+ Grow knowledge of CyberSecurity. Team processes, and Systems.
**Required Skills:**
+ Over 8 years' experience in Detection Engineering & Algorithm Development leveraging SIEM solutions & Other Security technologies.
+ Minimum of 5 years practical experience in **Java and Python**
+ Minimum of 5 years' experience working with **SQL and Splunk.**
+ Experienced in **Databricks** and **Linux** environments.
+ Experience with **REST APIs** is required
+ Experience with public cloud platforms, and Cybersecurity experience is highly recommended.
+ The role involves implementing solutions based on specified requirements and following internal processes. It also requires **writing tests against java and python code** .
+ The job will include growing the testing role and handling end to end testing.
+ The candidate must have excellent **analytical and problem-solving skills** , be self-motivated and work independently
**Desired Skills:**
+ Excellent communication skills including metrics/performance documentation/presentation, technical drawing/architecture origination and modification
+ Operates well under pressure and urgent circumstances
+ Self-reliant and diligent in follow-through for assigned tasks
+ Ability to work with a geographically disperse team
+ Engaged collaborator, contributor and team player
+ CISSP, CISM, SANS GIAC or relevant cybersecurity
+ Flexible to provide coverage in US morning hours on a need-basis, and as required
+ Experience working in an environment where coordination with multiple teams is essential to success
+ Ability to prioritize individual/group work in a high-stress and time-bound environment
+ Bachelor's / Master's degree in data science, Information Systems, Engineering, Mathematics. Computer Science or Cyber Security or equivalent experience.
**Additional information (if any):**
+ Should be flexible to provide coverage in US morning hours
+ Location: Hyderabad
**Location: Hyderabad**
**Weekly Hours:**
40
**Time Type:**
Regular
**Location:**
IND:AP:Hyderabad / Argus Bldg 4f & 5f, Sattva, Knowledge City- Adm: Argus Building, Sattva, Knowledge City
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws
We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status