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Robotics Software Engineer - I

Botsync

  • Bengaluru, India
  • Competitive Package
  • 1-3 Years
  • Posted Today
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About the role

Asia's leading robotics solutions provider, automating enterprise supply chains since 2017. We build syncOS - the industry-first no-code platform that lets manufacturers and warehouse operators integrate, reprogram, and scale automation systems without halting production or calling in specialists. Our autonomous mobile robots (AMRs) run 24/7 for global brands like Ford, Coca-Cola, and Kimberly-Clark - transforming production lines in hours, not weeks.

We started as roboticists ourselves. We know the pain of fragmented, proprietary systems that refuse to talk to each other. syncOS is our answer - and we believe it's what the industry has been waiting for. We are a young, passionate team chasing one big mission: #automateasia. If you love robots, hate inefficiency, and want to build solutions that run on real factory floors - read on.

The Role

  • Implement, test, and tune defined components within the MAG AMR software stack under the guidance of senior engineers.
  • Contribute to navigation, path-tracking, motion-control, localization, or SLAM tasks based on clear technical specifications.
  • Write clean, maintainable C++ and Python code for assigned bug fixes and minor product enhancements.
  • Develop and debug ROS / ROS2 nodes, topics, services, and launch configurations in Ubuntu / Linux environments.
  • Implement defined AMR state-machine behaviours, error cases, and recovery flows with appropriate test coverage.
  • Run simulations, bench tests, and field tests; capture evidence and interpret robot behaviour with support from the team.
  • Investigate well-scoped software issues using logs, visualisation tools, and structured root-cause analysis; escalate blockers with relevant data.
  • Participate in peer code reviews, act on feedback, and follow the team's coding, CI/CD, documentation, and secure-development standards.
  • Maintain clear documentation for assigned code, test results, fixes, and development activities.
  • Collaborate with software, hardware, product, and deployment teams to validate changes and support on-site robot deployments when required.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Mechatronics, Robotics, or an equivalent discipline.
  • 1-3 years of relevant experience in robotics software, autonomous systems, mobile robotics, or a closely related domain; strong project or internship experience may be considered.
  • Working proficiency in C++ and Python, with an understanding of clean, maintainable, and testable code.
  • Hands-on familiarity with ROS / ROS2 concepts including nodes, topics, services, launch files, and common debugging tools.
  • Comfort working in Ubuntu / Linux development environments and using Git-based workflows.
  • Foundational understanding of mobile-robot navigation, path planning, controls, localization, SLAM, or state machines.
  • Structured problem-solving ability: able to reproduce issues, collect data, test hypotheses, and seek guidance with relevant context.
  • Clear communication, receptiveness to feedback, and the discipline to flag blockers early and complete assigned work reliably.
  • Bonus: hands-on experience building or testing a real robot, working with simulation tools, or integrating mechanical, electrical, and software systems.

What success looks like for this role:

3 months:

  • Understand the MAG AMR codebase, development tooling, CI/CD workflow, and team engineering practices.
  • Complete assigned bug fixes and small enhancements with guidance, including appropriate testing and documentation.
  • Run simulations and field tests confidently, share clear observations, and participate constructively in code reviews.

6 months

  • Independently deliver well-defined work packages within navigation, SLAM, controls, or state-machine components.
  • Debug bounded runtime issues using logs and visualisation tools, escalating with evidence and proposed next steps.
  • Collaborate reliably across software, hardware, product, and deployment teams to verify customer and site outcomes.

12 months

  • Own a clearly scoped component or workstream from implementation through testing, documentation, and release support.
  • Contribute measurable improvements to robot reliability, navigation performance, or recovery behaviour in live deployments.
  • Operate as a dependable RSE-I contributor who consistently delivers quality work and is ready to take on broader RSE-II ownership.

Eligibility & process

Who can apply

Seniority: Associate. Employment type: Full-time

Skills & stack

Python Next.js CI/CD Git Linux Data Structures & Algorithms Python/Java System Design

Selection process

Details are shared by the recruiter after shortlisting.

Prep kit

20 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1 Core Tech Stack (Python, Next.js, CI/CD, Git, Linux, Data Structures & Algorithms, Python/Java, System Design) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion Botsync Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
Explain OOP (Object-Oriented Programming) principles with real-world examples in Python. Answer
Model answer: 1. Encapsulation (data hiding via private fields/getters). 2. Abstraction (hiding implementation complexity). 3. Inheritance (code reusability). 4. Polymorphism (method overriding/overloading).
What is the time and space complexity of QuickSort vs MergeSort? Answer
Model answer: QuickSort: Average O(N log N) time, O(log N) space. Worst O(N^2). MergeSort: Guaranteed O(N log N) time, but requires O(N) auxiliary space.
Explain the difference between SQL Indexing (B-Tree vs Hash) and when not to use an index. Answer
Model answer: Indexes speed up SELECT queries via B-Trees. However, they slow down INSERT, UPDATE, and DELETE operations because indexes must be updated on disk. Avoid on low-cardinality columns (e.g., boolean flags).
What happens under the hood when you enter a URL in a browser? Answer
Model answer: 1. DNS lookup (resolves IP). 2. TCP 3-way handshake (SYN, SYN-ACK, ACK). 3. TLS negotiation for HTTPS. 4. HTTP GET request sent. 5. Server responds with HTML/CSS/JS. 6. Browser renders DOM & CSSOM tree.
What is the difference between REST and GraphQL APIs? Answer
Model answer: REST uses multiple fixed endpoints with possible over/under-fetching. GraphQL uses a single endpoint allowing clients to query exact fields in a single request.
Behavioural & HR questions 3
Why do you want to join Botsync as a Robotics Software Engineer - I?
Highlight Botsync's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Botsync Competitive Package
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