Robotics Software Engineer - L2

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Summary

Location

Bengaluru (Hybrid)

Work

Full-time

Key Benefits
Full Health Coverage

About this Job

We are seeking a Robotics Software Engineer who is passionate about building intelligent autonomous systems and solving complex real-world engineering challenges. You thrive in fast-paced environments, take ownership of technical problems from diagnosis to deployment, and enjoy working across software, hardware, and product teams to deliver reliable solutions.

If you enjoy seeing your code operate on real robots in live industrial environments and want to contribute to the future of autonomous mobile robotics and industrial automation, this role offers an opportunity to build technology with tangible, large-scale impact.

What Success Looks Like

3 months:

  • Onboarded onto the MAG AMR stack — codebase, tooling, and CI/CD pipelines understood
  • First bug fixes and minor features shipped independently
  • Actively contributing to code reviews with useful, constructive feedback
  • Comfortable running field tests and interpreting robot behaviour in real environments

6 months:

  • Owns and ships at least one significant module — navigation, SLAM, or state machine
  • Measurable improvement to navigation or localization performance on live deployments
  • Trusted to debug complex runtime issues end-to-end with minimal escalation
  • Cross-team collaborator — hardware, software, and product teams rely on your input

12 months:

  • Driving architectural decisions on core AMR software components
  • Algorithms you've built are running reliably in production deployments at scale
  • Recognised as a go-to expert in at least one robotics domain (nav, SLAM, or controls)
  • Mentoring junior engineers and raising the quality bar across the team

The key responsibilities includes:

  • Design, architect, develop and test algorithms for the MAG AMR software stack

  • Optimize navigation algorithms - improved planning, path tracking, and motion control

  • Develop SLAM algorithms to support MAG AMR's mapping and localization requirements

  • Design and implement AMR state machine behaviour and robust error handling mechanisms

  • Maintain secure, up-to-date software through vulnerability assessments

  • Write and maintain clear, thorough documentation of the codebase and development activities

  • Conduct peer code reviews and actively uphold engineering best practices

  • Collaborate with cross-country teams to debug, iterate, and ship reliable solutions

  • Support on-site robot deployments and field testing when required

  • Partner with the product team to keep user documentation accurate and current

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Mechatronics, or equivalent

  • Strong C++ and Python skills - you write code that is clean, efficient, and maintainable

  • Hands-on experience with ROS / ROS2

  • Comfortable on Ubuntu / Linux development environments

  • Demonstrable real-world robotics experience - building one is a significant plus

  • Sharp problem-solving instincts: you identify root causes, not just symptoms

  • Self-starter who runs independently and learns fast on the job

  • Bonus: end-to-end system knowledge spanning mechanical, electrical, and software

  • Competitive salary

  • Comprehensive health benefits package

  • Hustle of a young startup, always something to do and something to improve

  • Opportunities for professional development and growth into management roles

  • Collaborative and inclusive work environment

About the Company

Botsync logo

Botsync

Privately Held
Logistics & WarehousingIndustrial Manufacturing

Botsync helps enterprises automate their intralogistics processes through our industry-first no-code automation platform and fleet of autonomous mobile robots. Our automation solutions automate movement of loads such as pallets, trolleys, cages, custom structures across existing factory floors and warehouses with minimal changes to current infrastructure, helping enterprises transit from manual operations to automation in less than a week. This enables companies of all sizes to implement automation without stopping their existing operations and scale business easily.

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