Job Description
## Director of Robotics Systems
**Department:** Robotics and Autonomous Systems | **Industry:** Machine Learning
**Location:** Chandigarh | **Job Type:** Full-time | **CTC:** INR 22.7-58.7 LPA
### Role Overview
This position calls for a Director of Robotics Systems who can take ownership of core responsibilities within our Robotics and Autonomous Systems team. The role is positioned at the senior level and reports into the broader Robotics and Autonomous Systems charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to robotics and autonomous systems.
- Apply working knowledge of Python and Statistical Modelling to daily execution.
- Coordinate with cross-functional stakeholders within Machine Learning.
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Sc (Data Science) or equivalent qualification.
- 11 years of relevant experience (senior level).
- Working proficiency in: Python, Statistical Modelling, Feature Engineering, Computer Vision/NLP Basics, Model Evaluation & Tuning, Data Preprocessing, Deep Learning, TensorFlow/PyTorch, Robotics and Autonomous Systems.
### Additional Notes
References may be requested closer to the offer stage rather than at the start of the process. The next logical step from this position is a senior or lead-track role within the same function. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Learning and certification support is available for tools and frameworks directly relevant to the role. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. 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. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. High performers in this role typically move into a broader ownership scope within 18-24 months. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The package is structured with a fixed component, performance bonus, and standard health coverage. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
**Department:** Robotics and Autonomous Systems | **Industry:** Machine Learning
**Location:** Chandigarh | **Job Type:** Full-time | **CTC:** INR 22.7-58.7 LPA
### Role Overview
This position calls for a Director of Robotics Systems who can take ownership of core responsibilities within our Robotics and Autonomous Systems team. The role is positioned at the senior level and reports into the broader Robotics and Autonomous Systems charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to robotics and autonomous systems.
- Apply working knowledge of Python and Statistical Modelling to daily execution.
- Coordinate with cross-functional stakeholders within Machine Learning.
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Sc (Data Science) or equivalent qualification.
- 11 years of relevant experience (senior level).
- Working proficiency in: Python, Statistical Modelling, Feature Engineering, Computer Vision/NLP Basics, Model Evaluation & Tuning, Data Preprocessing, Deep Learning, TensorFlow/PyTorch, Robotics and Autonomous Systems.
### Additional Notes
References may be requested closer to the offer stage rather than at the start of the process. The next logical step from this position is a senior or lead-track role within the same function. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Learning and certification support is available for tools and frameworks directly relevant to the role. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. 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. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. High performers in this role typically move into a broader ownership scope within 18-24 months. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The package is structured with a fixed component, performance bonus, and standard health coverage. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.