4.0 - 9.0 years

6 - 11 Lacs

Bengaluru

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The candidate will be required to work on large-scale open source software development The candidate should be good in Mathematics (probability theory, linear algebra and graph theory) and programming. Strong experience in working with Rust, Python and software development tools. Ability to work with large open-source projects is a must. Should know the best practices for working in open source communities, mechanics of github and code review. The candidate should be able to work and collaborate with large teams situated across the globe. The candidate may need to work with quantum computing researchers in implementing algorithms using Python/Rust and integrate them with Qiskit. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise BTech/BE/MS/MSc degree in Computer Science, Information Science, Electrical/Electronics branches or in Maths, Physics, Chemistry, Computer Applications or other allied areas. 4+ years' experience in software development or in open-source projects. Strong programming skills in Rust and Python. Good in Mathematics in general, specifically in linear algebra, graph theory and probability theory. Knowledge on Basic Quantum computing and Qiskit is a plus.

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Pro Vice-Chancellor ( Computer Science and allied disciplines ) Manav Sansadhan Vikas Salaahkar

15.0 - 24.0 years

30 - 40 Lacs

Bengaluru

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Position Title: Pro Vice-Chancellor Computer Engineering Background Location: Bengaluru North, Karnataka, India Role Overview: The Pro Vice-Chancellor (PVC) will play a pivotal role in shaping and leading the academic and research vision of technology and engineering schools with a core emphasis on Computer Science and allied disciplines. The position requires an accomplished academician with strong subject knowledge, technological foresight, and the ability to lead cutting-edge research, foster innovation, and build robust academia-industry linkages. Key Responsibilities: Academic and Technical Leadership: Research and Innovation Leadership: Technology Incubation and Start-Up Ecosystem: Academic-Industry Collaboration: Digital Transformation and Smart Campus Initiatives: Internationalization: Faculty and Talent Development: Strategic Planning and Policy Implementation: Eligibility Criteria: Mandatory Qualifications: Engineering Graduation (B.E. / B.Tech), Post-Graduation (M.E. / M.Tech), and Doctorate (Ph.D.) in any one of the following disciplines only: Computer Science Information Science Information Technology Data Science Artificial Intelligence & Machine Learning Note: Candidates with engineering graduation in any other specialization will not be considered. Candidates with qualifications such as B.Sc., BCA, MCA, or other non-engineering degrees will also not be eligible. Experience Requirements: Minimum 15 years of academic experience, including teaching, research, and academic administration. Demonstrated leadership in funded research projects, Ph.D. guidance, patents, and high-impact publications. Experience in establishing or leading research labs, innovation centers, or CoEs. Preferred Attributes: Academic qualifications from premier national/international institutions (e.g., IITs, NITs, IIITs, global universities). Strong industry interface with a track record in consulting, technology advisory, or product development. Global exposure through research collaborations, academic visits, or international program management.

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Radio Architecture Airtel

9 - 14 years

13 - 23 Lacs

Delhi NCR, Gurgaon

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Radio Strategy Essential Skills Good understanding of Network Architecture, Radio Hardware/Software & Antenna System. Clear conceptual understanding of RF principles, Call flow & link budget. Good Knowledge of Radio parameters, KPIs & RAN features. Familiar with emerging radio technologies, standardization and its application. Proficient in Air interface algorithms & network tuning, Data analytical skills. Fair understanding of Radio Capacity dimensioning, forecasting, Site solutioning and TCO evaluation Ability to design and deliver new solutions from scratch Familiar with Energy efficiency / saving concepts. Advantage Skills : Advance knowledge of RAN technologies & protocols. RAN virtualization & Cloud native architecture. Proficient in LMS strategy, Coverage & capacity dimensioning Automation with AIML Models Proficient in data analysis using Python and other scripting frameworks

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