Job Description
Autonomous Navigation Engineer | Ahmedabad | INR 12.9-46.9 LPA
Robotics and Autonomous Systems role, mid level, full-time.
Need: M.Tech (Machine Learning), 5+ yrs.
Core skills: Robotics and Autonomous Systems, Feature Engineering, Python, Computer Vision/NLP Basics, TensorFlow/PyTorch.
If this fits your profile in robotics and autonomous systems, apply now.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
The next logical step from this position is a senior or lead-track role within the same function. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The package is structured with a fixed component, performance bonus, and standard health coverage. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
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. References may be requested closer to the offer stage rather than at the start of the process.
Compensation includes standard statutory benefits along with performance-linked variable pay. High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Robotics and Autonomous Systems role, mid level, full-time.
Need: M.Tech (Machine Learning), 5+ yrs.
Core skills: Robotics and Autonomous Systems, Feature Engineering, Python, Computer Vision/NLP Basics, TensorFlow/PyTorch.
If this fits your profile in robotics and autonomous systems, apply now.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
The next logical step from this position is a senior or lead-track role within the same function. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The package is structured with a fixed component, performance bonus, and standard health coverage. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
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. References may be requested closer to the offer stage rather than at the start of the process.
Compensation includes standard statutory benefits along with performance-linked variable pay. High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.