Robotics Software Engineer

This role is for one of the Weekday's clients

Salary range: Rs 1000000 - Rs 1500000 (ie INR 10-15 LPA)

Software Development Engineer - Robotics

Requirements

Key Responsibilities

• Design, develop, and debug robust software systems for autonomous robotics applications
• Architect and deploy scalable software solutions in collaboration with product and hardware teams
• Integrate new and existing software modules into the core system architecture while meeting performance, reliability, and complexity requirements
• Build efficient tools, evaluation pipelines, and internal frameworks to support robotics software modules
• Develop high-performance, reusable, and maintainable C++ code along with supporting scripts
• Implement performance optimization, quality assurance, and reliability modules across systems
• Identify system bottlenecks, debug complex issues, and design long-term solutions
• Develop and optimize algorithms for navigation, SLAM, motion planning, and pathfinding
• Work closely with sensors, communication protocols, and real-time data streams to ensure seamless system behavior
• Contribute to documentation, code reviews, and best practices to improve overall engineering standards
  

What Makes You a Great Fit

• 2+ years of hands-on experience in software development with exposure to robotics or real-time systems
• Strong fundamentals in Data Structures, Algorithms, OOP concepts, and software design principles
• Proficiency in C++, with working knowledge of Python or scripting languages
• Experience working in Linux environments, build systems, and version control tools
• Familiarity with robotics frameworks such as ROS/ROS2 and simulation tools
• Understanding of SLAM algorithms, motion planning techniques, and robot kinematics
• Experience integrating sensors like LIDAR, IMU, and working with communication protocols
• Strong problem-solving mindset with the ability to work in fast-paced, innovation-driven environments
• Passion for robotics, continuous learning, and building systems that operate at scale
• Comfortable collaborating across disciplines and taking ownership of complex technical challenges