8,112 Algorithms jobs in India

Job Title: SDE & Instructor ( DSA)

Location: Sonipat | Bangalore (On-site)

Institution: Newton School of Technology

(in collaboration with Rishihood University & S-Vyasa Institute)

Experience:

• 3+ years in Software Development & Data Structures & Algorithms (DSA)
• 2+ year in teaching/training B.Tech students.

About the Role:

Newton School of Technology, in partnership with Rishihood University and Ajeenkya DY Patil University, is pioneering a new model of B.Tech education that blends strong computer science fundamentals with real-world industry expertise.

We are seeking passionate SDE+ Instructor to join our Computer Science Department . This is an academic-focused role where you will teach, mentor, and guide B.Tech Computer Science students while also applying your software development and competitive programming expertise .

This is a full-time, on-site faculty role at our Sonipat and Bangalore campuses .

Key Responsibilities

Teaching & Mentorship

• Deliver engaging lectures to B.Tech Computer Science students on Data Structures, Algorithms, and System Design .
• Mentor students on competitive programming, coding challenges, and hackathons .
• Conduct labs, tutorials, assessments, and mock interviews to prepare students for placements.

Software Development & DSA Expertise:

• Design and implement advanced data structures and algorithms .
• Solve real-world System Design problems (HLD & LLD) .
• Provide guidance on coding best practices, debugging, and code optimization .

Curriculum & Industry Alignment

• Build and update an industry-relevant DSA curriculum aligned with software hiring standards.
• Collaborate with industry experts for guest lectures and live projects .
• Keep the program aligned with emerging technologies and coding trends .

Required Skills & Qualifications

• Education : B.Tech/M.Tech in Computer Science, Software Engineering, or related field (IITs/NITs/IIITs preferred) .

• Industry Experience :

3+ years in software development (preferably in product-based companies).

Strong experience in scalable systems and applying DSA in practice.

• Technical Expertise :
• Languages: C++, Java, Python .
• DSA Mastery: Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Recursion, Sorting, Searching, Dynamic Programming, Algorithm Analysis.
• System Design: HLD, LLD, microservices, caching, database scaling .

Must-Have:

• Active participation in Competitive Programming (ICPC, Codeforces, Leetcode, CodeChef, etc.).
• Strong profiles on coding platforms with consistent problem-solving history.
• Ability to simplify complex concepts and keep students engaged.
• Passion for teaching and mentoring B.Tech students .

Good to Have

• Prior experience teaching undergraduate/graduate students .
• Familiarity with modern pedagogy & teaching tools .
• Research orientation in computer science and education .

Perks & Benefits

• Competitive salary packages.
• Opportunity to work alongside ICPC World Finalists Deepak Kumar Gour and Ashwin Krishnamoorthy , ISRO scientists, and other industry leaders.
• Access to state-of-the-art labs and facilities .
• Platform to drive innovation and shape the next generation of tech talent .

Interview Process

Round 1 – Technical Evaluation : Coding/DSA problem-solving assessment.

Round 2 – Teaching Demonstration : Deliver a mock lecture to evaluate pedagogy.

Round 3 – Final Discussion : Interaction with Newton School & University leadership for cultural fit.

Learn more about us:

Newton School of Technology

• Design and analyze new quantum algorithms for applications in areas such as optimization, simulation, and cryptography.
• Conduct theoretical research into the foundations of quantum computation and quantum information theory.
• Develop and implement quantum algorithms using programming languages and simulators suitable for quantum computing (e.g., Qiskit, Cirq).
• Collaborate with experimental physicists to translate theoretical algorithms into experimental proposals and interpret results.
• Prepare and publish research findings in high-impact peer-reviewed journals and present at international conferences.
• Mentor graduate students and research assistants involved in quantum computing projects.
• Contribute to grant writing and securing research funding.
• Stay updated with the latest advancements in quantum computing, condensed matter physics, and related fields.
• Explore potential applications of quantum algorithms to solve real-world problems.
• Contribute to the development of software tools and libraries for quantum computing research.
• Participate in interdisciplinary research collaborations.
• Analyze and interpret complex datasets generated from quantum simulations or experiments.
• Provide technical guidance and support to the research team.
• Develop and maintain documentation for research projects and codebases.
• Engage with the broader scientific community through seminars and workshops.

• Ph.D. in Physics, Computer Science, Mathematics, or a closely related field with a specialization in quantum computing, quantum information, or theoretical computer science.
• A strong publication record in reputable quantum computing or theoretical physics journals.
• Demonstrated expertise in quantum algorithm design and analysis.
• Proficiency in programming languages such as Python, C++, or other relevant languages.
• Experience with quantum computing software development kits (SDKs) like Qiskit, Cirq, or PennyLane.
• Solid understanding of quantum mechanics, linear algebra, and computational complexity.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to articulate complex scientific concepts clearly.
• Ability to work effectively both independently and as part of a collaborative research team.
• Experience in contributing to grant proposals is desirable.
• Familiarity with quantum hardware platforms and their limitations is a plus.
• Proven ability to mentor junior researchers or students.
• A strong curiosity and passion for advancing the field of quantum computation.
• Experience with high-performance computing (HPC) environments.
• A track record of delivering high-quality research outcomes.

Job Title:

DSA Technical Trainer (Technical Trainer – Data Structures & Algorithms)

Location:

Chandigarh University, Mohali (Punjab, India)

Job Summary:

The DSA Technical Trainer will be responsible for designing, developing, and delivering hands-on training in Data Structures & Algorithms (DSA) and related technical areas (e.G. Java / Full Stack etc.). The role involves mentoring students through problem solving, coding best practices, competitive programming platforms, and aligning content with industry trends to help prepare students for placements, hackathons, technical interviews, and real-world software development tasks.

Key Responsibilities:

• Develop training curriculum and materials on DSA topics: arrays, linked lists, stacks, queues, trees, graphs, sorting/searching algorithms, recursion, dynamic programming, greedy algorithms, etc.
• Plan and deliver lectures / interactive sessions, hands-on labs / coding workshops.
• Mentor students on coding best practices, debugging, algorithmic complexity (time/space), code efficiency.
• Use competitive programming platforms (LeetCode, HackerRank, CodeChef) to conduct challenges or contests;
  guide students in participating, solving problems.
• Assess student learning via assignments, quizzes, coding tests, projects;
  provide feedback.
• Update and maintain training content to reflect current industry tools, frameworks, best practices.
• Collaborate with faculty / departments to align the DSA training with overall curriculum / placement requirements.

Required Qualifications & Skills:

• Bachelor’s degree in Computer Science, Engineering (CSE / IT) or related field;
  Master’s degree preferred or desirable.
• Strong proficiency in programming languages: e.G. Java, C++, Python etc.
• Deep understanding of Data Structures & Algorithms (theory + implementation)
• Familiarity with front-end / back-end technologies is a plus (if role also involves Full Stack)
• Experience with, or ability to use, version control tools (e.G. Git) and databases (SQL / NoSQL) as needed.
• Excellent communication and presentation skills – ability to explain complex topics clearly to students / trainees.
• Good mentoring / coaching skills. Patience, ability to guide learners.

Desirable / Preferred:

• Prior experience in teaching, training, or mentoring, especially in higher education / technical training.
• Certifications or achievements in competitive programming.
• Experience with content development, e-learning platforms, LMS tools.
• Knowledge of modern frameworks / tools if full stack component included (front-end frameworks, REST APIs, Spring Boot, etc.)

• Lead research initiatives in advanced machine learning and artificial intelligence.
• Develop and implement novel algorithms for areas such as deep learning, NLP, and computer vision.
• Design and conduct rigorous experiments to validate research hypotheses.
• Analyze complex datasets and interpret results to drive insights.
• Collaborate with cross-functional teams, including software engineers and product managers.
• Publish research findings in top-tier academic journals and conferences.
• Mentor and guide a team of research scientists and engineers.
• Stay abreast of the latest advancements in AI and machine learning.
• Present research findings to internal stakeholders and external audiences.
• Contribute to intellectual property generation and patent applications.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 5+ years of experience in AI research, with a focus on algorithm development.
• Strong publication record in leading AI conferences and journals (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
• Proven experience leading research projects and mentoring junior scientists.
• Deep understanding of statistical modeling, machine learning theory, and deep learning frameworks (TensorFlow, PyTorch).
• Excellent programming skills in Python and relevant libraries.
• Ability to communicate complex technical concepts effectively.
• Experience with large-scale data processing and distributed computing.
• Strong analytical and problem-solving skills.

• Conceptualize, design, and develop novel quantum algorithms for solving complex problems in areas such as optimization, simulation, cryptography, and machine learning.
• Analyze the performance and scalability of quantum algorithms on various quantum hardware architectures.
• Implement quantum algorithms using quantum programming languages and simulators (e.g., Qiskit, Cirq, PennyLane).
• Collaborate with quantum hardware engineers and computer scientists to bridge the gap between theoretical algorithms and practical implementation.
• Conduct rigorous theoretical analysis and numerical simulations to validate algorithmic approaches.
• Stay abreast of the latest advancements in quantum computing theory, algorithms, and experimental progress worldwide.
• Publish research findings in top-tier scientific journals and present at leading international conferences.
• Mentor and guide junior researchers and post-doctoral fellows in the field of quantum algorithm development.
• Contribute to the strategic direction of quantum research initiatives and technology roadmaps.
• Engage with industry partners and academic collaborators to foster innovation and explore new applications.
• Contribute to the development of educational materials and training programs for quantum computing.

• Ph.D. in Physics, Computer Science, Mathematics, or a related field with a specialization in quantum information science or quantum computing.
• A minimum of 5-7 years of post-doctoral research experience or equivalent in quantum algorithm development.
• Demonstrated expertise in quantum mechanics, linear algebra, and computational complexity theory.
• Proven experience in designing, analyzing, and implementing quantum algorithms.
• Proficiency in programming languages commonly used in quantum computing research (e.g., Python) and familiarity with quantum software development kits.
• Strong analytical and problem-solving skills, with a keen eye for detail.
• Excellent written and verbal communication skills, with the ability to articulate complex scientific concepts clearly and concisely.
• Ability to work independently and collaboratively in a remote, international research environment.
• A strong publication record in reputable scientific journals and conferences is essential.

• Conduct theoretical research on the design, analysis, and optimization of quantum algorithms for various computational problems.
• Explore potential applications of quantum computing in fields such as cryptography, materials science, drug discovery, and artificial intelligence.
• Develop and implement quantum algorithms using quantum programming languages and frameworks (e.g., Qiskit, Cirq, PennyLane).
• Collaborate closely with experimental physicists and engineers to bridge the gap between theoretical concepts and practical implementation on quantum hardware.
• Analyze the performance and scalability of quantum algorithms, identifying potential limitations and proposing solutions.
• Stay abreast of the latest breakthroughs in quantum computing hardware, software, and algorithm development.
• Publish research findings in high-impact scientific journals and present work at international conferences.
• Mentor junior researchers and contribute to the intellectual leadership of the quantum computing team.
• Contribute to the intellectual property portfolio through patent applications and technical disclosures.
• Engage with industry partners and academic collaborators to foster innovation and knowledge exchange.

• Ph.D. in Computer Science, Physics, Mathematics, Electrical Engineering, or a related field with a specialization in Quantum Information Science or Quantum Computing.
• Minimum of 7 years of post-doctoral research experience or equivalent in quantum algorithm development.
• Deep understanding of quantum mechanics, linear algebra, and theoretical computer science.
• Proven expertise in designing, analyzing, and implementing quantum algorithms (e.g., Shor's, Grover's, VQE, QAOA).
• Experience with quantum programming languages and simulation tools.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent written and verbal communication skills, with a strong publication record.
• Ability to work both independently and collaboratively in a research-intensive environment.
• Experience with classical algorithms and optimization techniques is a plus.
• Passion for pushing the boundaries of scientific discovery in quantum computing.

• Conduct theoretical and computational research on quantum algorithms for complex problem-solving.
• Design, implement, and test new quantum algorithms using simulation tools and frameworks.
• Collaborate with senior researchers and international teams on joint projects.
• Publish research findings in high-impact scientific journals and present at international conferences.
• Contribute to grant writing and proposal development.
• Mentor graduate students and junior researchers.
• Stay updated with the latest advancements in quantum computing, condensed matter physics, and related fields.
• Contribute to the development of new research directions and initiatives within the group.
• Maintain detailed research records and documentation.
• Participate in group meetings, seminars, and journal clubs.

• Ph.D. in Physics, Computer Science, Mathematics, or a related field with a specialization in quantum computing or a closely related area.
• Demonstrated track record of research excellence, evidenced by peer-reviewed publications.
• Strong theoretical background in quantum mechanics and algorithm design.
• Experience with quantum programming languages and platforms (e.g., Qiskit, Cirq, PennyLane).
• Proficiency in at least one scientific programming language (e.g., Python, C++, Julia).
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong written and verbal communication skills for scientific reporting and presentation.
• Ability to work effectively both independently and collaboratively in a research environment.
• Familiarity with numerical methods and high-performance computing is a plus.
• Prior experience in developing quantum algorithms for specific applications (e.g., optimization, machine learning, cryptography) is advantageous.