5 Quantum Computing Jobs

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.

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.

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

Overview Senior Director for Prodapt Labs will lead all engineering, innovation, GTM and capability ramp up activities and steer all Technology roadmap initiatives for the company Responsibilities 1. Innovation Leader - Champion of all new technology initiatives as per market and business trends 2. Engineering Leader - Built capabilities from junior most to senior resources for identified areas. Exceptional engineering leadership skills for inhouse initiatives and joint customer initiatives 3. Technology Leader - Lead Prodapt's partnership, industry collaboration, Institute partnership initiatives 4. Business Leader - Build GTM roadmap for new CoEs, charters and actively lead business growth initiatives for the defined roadmap 5. Delivery Excellence Leader - Support delivery excellence initiatives through strategic initiatives, inhouse toolings, trainings, University / L&D benchmarks to improve the engineering and delivery excellence benchmarks. Requirements Must have - AI@Scale delivery skills - Phd or equivalent exposure to large scale AI, Advanced AI and Generative AI capabilities Must have - Large Scale Software Development expertise for Cloud Native and Hybrid Cloud ecosystems either in Azure / GCP / AWS. Good to have - Metaverse, Quantum Computing, Web3.0 CoE / Practice leader experience

Job Description: We are seeking a highly skilled and experienced Senior Quantum Engineer to join our cutting-edge quantum computing team. The ideal candidate will have a deep understanding of quantum mechanics and linear algebra, extensive experience with quantum information theory, and a strong background in quantum algorithms and complexity theory. This role requires familiarity with quantum hardware technologies and an ability to work with noisy intermediate-scale quantum (NISQ) devices, including implementing noise mitigation techniques. Proficiency in quantum programming languages and software development kits (SDKs) is essential. Key Responsibilities: Develop and implement quantum algorithms for solving complex problems in various domains. Analyze and optimize quantum circuits for specific hardware implementations. Conduct research on quantum error correction and develop strategies to mitigate noise in quantum systems. Collaborate with cross-functional teams to integrate quantum solutions into broader systems and applications. Stay abreast of the latest developments in quantum computing and contribute to the company's intellectual property portfolio. Provide mentorship and guidance to junior quantum engineers and researchers. Design and execute experiments to test and validate quantum technologies and theories. Qualifications: A Master's or Ph.D. in Physics, Computer Science, Electrical Engineering, or a related field with a focus on quantum computing. Min 5 to 10 years of experience in quantum engineering or a related field. Deep understanding of quantum mechanics, linear algebra, and quantum information theory. Experience with quantum algorithms such as Grovers search, Shor’s algorithm, VQE, and QAOA. Knowledge of complexity theory and the ability to reason about quantum vs. classical complexity classes. Basic knowledge of different qubit technologies and hardware-specific constraints. Familiarity with current limitations of NISQ devices and common noise mitigation techniques. Proficiency with at least one major quantum SDK such as Qiskit (IBM) or Braket (AWS). Excellent problem-solving skills and the ability to work independently as well as part of a team. Strong communication and presentation skills, with the ability to convey complex quantum concepts to a non-expert audience. Preferred Skills: Published research in quantum computing or related fields. Experience with quantum simulation and modeling tools. Contributions to open-source quantum computing projects. Active participation in the quantum computing community through conferences, workshops, or collaborations. What We Offer: A dynamic and collaborative work environment with a team of like-minded professionals. Opportunities to work on state-of-the-art quantum computing projects. Competitive salary and benefits package. Professional development and continuous learning opportunities. Access to cutting-edge quantum computing hardware and resources. If you are passionate about quantum computing and looking to make a significant impact in the field, we encourage you to apply for this exciting opportunity.