Job Description
Machine Learning is looking for an experienced Robotics Simulation Engineer to take ownership of the Robotics and Autonomous Systems charter at a mid 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 4 years of progressively senior experience, holding B.Tech (CS/AI), with a demonstrated track record across Python, MLOps, Feature Engineering, Robotics and Autonomous Systems, Data Preprocessing. 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 Pune on a full-time arrangement. Compensation is benchmarked at INR 19.0-49.4 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 robotics and autonomous systems.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. High performers in this role typically move into a broader ownership scope within 18-24 months. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The package is structured with a fixed component, performance bonus, and standard health coverage.
References may be requested closer to the offer stage rather than at the start of the process. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Internal job postings are open to employees who've completed a minimum tenure in their current role.
The successful candidate will bring approximately 4 years of progressively senior experience, holding B.Tech (CS/AI), with a demonstrated track record across Python, MLOps, Feature Engineering, Robotics and Autonomous Systems, Data Preprocessing. 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 Pune on a full-time arrangement. Compensation is benchmarked at INR 19.0-49.4 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 robotics and autonomous systems.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. High performers in this role typically move into a broader ownership scope within 18-24 months. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The package is structured with a fixed component, performance bonus, and standard health coverage.
References may be requested closer to the offer stage rather than at the start of the process. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Internal job postings are open to employees who've completed a minimum tenure in their current role.