Job Description
Robotics Research Director | Chennai | INR 42.3-90.5 LPA
Robotics and Autonomous Systems role, senior level, leadership - full-time.
Need: M.Sc (Data Science), 9+ yrs.
Core skills: Statistical Modelling, Deep Learning, Feature Engineering, Python, Model Evaluation & Tuning.
If this fits your profile in robotics and autonomous systems, apply now.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. High performers in this role typically move into a broader ownership scope within 18-24 months.
References may be requested closer to the offer stage rather than at the start of the process. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Compensation includes standard statutory benefits along with performance-linked variable pay. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The organisation has historically promoted from within for a majority of its senior and lead openings.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Robotics and Autonomous Systems role, senior level, leadership - full-time.
Need: M.Sc (Data Science), 9+ yrs.
Core skills: Statistical Modelling, Deep Learning, Feature Engineering, Python, Model Evaluation & Tuning.
If this fits your profile in robotics and autonomous systems, apply now.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. High performers in this role typically move into a broader ownership scope within 18-24 months.
References may be requested closer to the offer stage rather than at the start of the process. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Compensation includes standard statutory benefits along with performance-linked variable pay. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The organisation has historically promoted from within for a majority of its senior and lead openings.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Most days include at least one review checkpoint where progress is discussed against the plan for the week.