Job Description
Quantum Computing & Technology is looking for an experienced Global Head of Quantum Machine Learning to take ownership of the Quantum Machine Learning charter at a senior level. This is a role for someone who has already operated at scale and is comfortable setting direction rather than simply following one.
The successful candidate will bring approximately 13 years of progressively senior experience, holding Ph.D (Quantum Physics/Computing), with a demonstrated track record across Python Programming, Linear Algebra & Quantum Mechanics Fundamentals, Academic Literature Review, Machine Learning Basics, Qiskit/Cirq Programming. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Remote (Pan India) on a hybrid arrangement. Compensation is benchmarked at INR 23.8-60.6 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within quantum machine learning.
The package is structured with a fixed component, performance bonus, and standard health coverage. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Most days include at least one review checkpoint where progress is discussed against the plan for the week. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Internal job postings are open to employees who've completed a minimum tenure in their current role. References may be requested closer to the offer stage rather than at the start of the process. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
Compensation includes standard statutory benefits along with performance-linked variable pay. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
The organisation has historically promoted from within for a majority of its senior and lead openings. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Learning and certification support is available for tools and frameworks directly relevant to the role.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Interested candidates should be prepared to walk through relevant past work during the interview process.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
The successful candidate will bring approximately 13 years of progressively senior experience, holding Ph.D (Quantum Physics/Computing), with a demonstrated track record across Python Programming, Linear Algebra & Quantum Mechanics Fundamentals, Academic Literature Review, Machine Learning Basics, Qiskit/Cirq Programming. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Remote (Pan India) on a hybrid arrangement. Compensation is benchmarked at INR 23.8-60.6 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within quantum machine learning.
The package is structured with a fixed component, performance bonus, and standard health coverage. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Most days include at least one review checkpoint where progress is discussed against the plan for the week. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Internal job postings are open to employees who've completed a minimum tenure in their current role. References may be requested closer to the offer stage rather than at the start of the process. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
Compensation includes standard statutory benefits along with performance-linked variable pay. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
The organisation has historically promoted from within for a majority of its senior and lead openings. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Learning and certification support is available for tools and frameworks directly relevant to the role.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Interested candidates should be prepared to walk through relevant past work during the interview process.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Relocation assistance may be extended for candidates moving from a different city, subject to approval.