Job Description
**Principal Robotics Engineer** | Jaipur | Hybrid | INR 48.1-99.4 LPA
**About the role:**
- Position within Robotics and Autonomous Systems, under the Machine Learning vertical
- Level: senior level
- Reports to the functional head for Robotics and Autonomous Systems
**What you'll do:**
- Handle core robotics and autonomous systems activities on a day-to-day basis
- Use TensorFlow/PyTorch regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- TensorFlow/PyTorch
- Deep Learning
- Statistical Modelling
- Robotics and Autonomous Systems
- Python
- MLOps
- Data Preprocessing
- Machine Learning Algorithms
- Computer Vision/NLP Basics
- M.Sc (Data Science)
- 14+ years of relevant experience
**Good to know:**
- The organisation has historically promoted from within for a majority of its senior and lead openings. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
- A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
- 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. 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.
- The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. High performers in this role typically move into a broader ownership scope within 18-24 months.
- The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. References may be requested closer to the offer stage rather than at the start of the process.
- Most days include at least one review checkpoint where progress is discussed against the plan for the week. Internal job postings are open to employees who've completed a minimum tenure in their current role.
- Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
- New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
- There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Compensation includes standard statutory benefits along with performance-linked variable pay.
- Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
- In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
- The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
- 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.
- Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
- The next logical step from this position is a senior or lead-track role within the same function. Interested candidates should be prepared to walk through relevant past work during the interview process.
- Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
- Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
- Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
**About the role:**
- Position within Robotics and Autonomous Systems, under the Machine Learning vertical
- Level: senior level
- Reports to the functional head for Robotics and Autonomous Systems
**What you'll do:**
- Handle core robotics and autonomous systems activities on a day-to-day basis
- Use TensorFlow/PyTorch regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- TensorFlow/PyTorch
- Deep Learning
- Statistical Modelling
- Robotics and Autonomous Systems
- Python
- MLOps
- Data Preprocessing
- Machine Learning Algorithms
- Computer Vision/NLP Basics
- M.Sc (Data Science)
- 14+ years of relevant experience
**Good to know:**
- The organisation has historically promoted from within for a majority of its senior and lead openings. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
- A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
- 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. 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.
- The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. High performers in this role typically move into a broader ownership scope within 18-24 months.
- The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. References may be requested closer to the offer stage rather than at the start of the process.
- Most days include at least one review checkpoint where progress is discussed against the plan for the week. Internal job postings are open to employees who've completed a minimum tenure in their current role.
- Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
- New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
- There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Compensation includes standard statutory benefits along with performance-linked variable pay.
- Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
- In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
- The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
- 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.
- Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
- The next logical step from this position is a senior or lead-track role within the same function. Interested candidates should be prepared to walk through relevant past work during the interview process.
- Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
- Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
- Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.