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Mid-level Bangalore role with niche robotics focus yields moderate applicant competition.
Role requires robotics and multi-robot algorithm expertise, limiting cross-industry transferability.
Explicit 6-year requirement, algorithmic domain expertise, simulation and systems-language proficiency enforce strict filters.
Own and design algorithms for task allocation, routing, and traffic management across a fleet of autonomous mobile robots (AMRs).
Validate algorithm changes using simulation and live fleet data to ensure performance and prevent regressions.
Develop metrics and tools to monitor and optimize fleet throughput, congestion, and idle time, collaborating with platform and robotics teams.
6 years of software engineering experience with hands-on algorithmic problem solving (scheduling, routing, graph search, optimization, or similar).
Strong computer science fundamentals including data structures, algorithms, complexity analysis, and concurrency correctness.
Experience with simulation, backtesting or data-driven validation for algorithm changes before production deployment.
Proficiency in at least one systems programming language such as Python or C++.
Experienced with multi-robot or multi-agent systems, path planning, traffic, or scheduling problems (preferred but not mandatory).
Comfortable working in a fast-paced startup environment catering to industrial customers with live deployments.
Able to independently own key algorithm areas and contribute to tooling improvements, mentoring, and code review within the fleet manager team.