Sr. Manager, Robotics (AI2537)

Sima Technologies; Bengaluru; On-site; INR 1,500,000 - 2,600,000; Full time

Job summary

Sima Technologies in Bangalore, India, is hiring a Sr. Manager, Robotics for full-time, on-site work at our Bangalore office.

You will lead a high-performing robotics perception team developing vision-based perception, localization, mapping, and navigation for AMRs, drones, and future platforms, while guiding architecture, collaboration with AI and hardware teams, and driving production-quality solutions. Requirements include a Master’s or PhD in Robotics (or equivalent with 12+ years), 5+ years

Qualifications

• 12+ years of experience in perception/localization/navigation for autonomous robots.

Responsibilities

• Lead and grow a robotics perception team for vision-based perception, localization, mapping, and navigation for AMRs, drones, and future platforms.
• Architect and guide development of visual odometry, visual-inertial odometry, visual SLAM, and sensor fusion.
• Drive engineering culture, mentoring, and hiring to scale a world-class robotics organization.
• Collaborate with AI, hardware, systems, product, and customer engineering teams to deliver production-ready robotics solutions.

Skills

Vision-based robotics

Leadership

C++

Python

ROS/ROS 2

Communication

Education

Master's or PhD in Robotics or related field

Tools

ROS/ROS 2

Vision systems

Job description

Description

Job Title: Sr. Manager, Robotics

Job Location: Bangalore, India (This position requires a full-time, on-site presence in our Bangalore, India Office)

Job ID: AI2537

Key Responsibilities

• Lead and grow a high-performing robotics perception team responsible for vision-based perception, localization, mapping, and navigation for AMRs, drones, and future robotic platforms.
• Build, mentor, and manage a team of robotics engineers, providing coaching, performance feedback, career development, and technical direction.
• Recruit and scale a world-class engineering organization, establishing hiring standards and building a strong engineering culture.
• Drive execution across multiple concurrent programs, ensuring predictable delivery, technical quality, and alignment with business objectives.
• Architect and guide the development of visual odometry, visual-inertial odometry, visual SLAM, sensor fusion, and 3D scene-understanding systems, while empowering senior engineers to own implementation.
• Partner closely with AI, silicon, hardware, systems, product, and customer engineering teams to deliver production-ready robotics solutions.
• Establish engineering best practices for software architecture, code quality, testing, CI/CD, release processes, and field validation.
• Drive system-level optimization for embedded AI and edge-compute platforms, ensuring production-quality performance and reliability.
• Lead technical decision-making, design reviews, architecture reviews, and root-cause investigations for complex customer and field issues.

Required Qualifications

• Master s or Ph.D. in Robotics, Computer Vision, Computer Engineering, Electrical Engineering, Computer Science, or a related field, or equivalent practical experience with 12+ years of experience developing perception, localization, navigation, or autonomy systems for autonomous robotic platforms.
• 5+ years leading and managing high-performing software engineering teams, including hiring, mentoring, performance management, and organizational growth.
• Proven track record of delivering production robotics products through multiple product generations.
• Deep expertise in vision-based robotics, including visual odometry, visual-inertial odometry, visual SLAM, multi-view geometry, camera calibration, and sensor fusion.
• Experience applying modern deep-learning approaches for perception, including object detection, semantic or instance segmentation, depth estimation, tracking, and scene understanding.
• Strong proficiency in C++, Python, and ROS/ROS 2.
• Demonstrated ability to drive architecture across large software systems while enabling execution through senior technical leaders.
• Excellent communication and stakeholder management skills with experience collaborating across engineering, product, and executive leadership.

Preferred Qualifications

• Experience building and scaling globally distributed engineering teams.
• Experience leading autonomy teams for AMRs, drones, humanoids, or other GPS-denied robotic systems.
• Familiarity with transformer architectures, vision-language models, world models, diffusion models, or vision-language-action systems.
• Experience with simulation platforms such as Isaac Sim, Gazebo, or equivalent robotics simulation environments.
• Track record of commercial product delivery, patents, publications, or significant open-source contributions.

Personal attributes

Can-do attitude. Strong team player. Curious, creative, and good at solving problems. Execution and results oriented. Self-driven, Thinks Big and is highly accountable. Good communication skills.