Novus Hi-Tech
Website:
novushitech.com
Job details:
JOB DESCRIPTION
Business Unit: Mobile Robotics | Location: Gurugram, Haryana, India
ROLE OVERVIEW
Novus Hi-Tech Robotic Systemz is looking for a Physical AI Software to own the software architecture and technical leadership for autonomous mobile robot (AMR) platforms within the Mobile Robotics business. This role sits at the intersection of classical autonomy stacks (perception, localization, navigation, control) and emerging Physical AI capabilities such as Vision-Language-Action (VLA) and Vision-Language Models (VLM), and is directly responsible for taking systems from prototype to reliable, field-deployed fleets. The ideal candidate combines deep hands-on robotics software expertise with the leadership skills to mentor a team, drive architecture decisions, and resolve real-world deployment challenges in customer environments.
KEY RESPONSIBILITIES
Technical Leadership & Systems Integration
- Lead end-to-end software architecture for mobile robotics platforms — perception, localization/SLAM, navigation, motion control, and safety systems.
- Own design decisions around ROS/ROS 2 middleware, sensor fusion pipelines, and modular hardware abstraction layers.
- Act as technical lead for fleet-level coordination and communication interfaces (REST, MQTT, CAN).
- Set technical direction and coding/architecture standards for the team; review designs and code from other engineers.
Physical AI, VLA/VLM & Perception
- Drive integration of Vision-Language-Action (VLA) and Vision-Language Model (VLM) capabilities into the autonomy stack for tasks such as semantic scene understanding, instruction-conditioned navigation, and object/task-level reasoning.
- Own the Visual SLAM pipeline (e.g., ORB-SLAM, VINS, RTAB-Map or equivalent) for robust localization and mapping across dynamic, GPS-denied, and visually repetitive warehouse/industrial environments.
- Evaluate, fine-tune, and productionize foundation-model-based perception and reasoning components, balancing on-robot compute constraints with model accuracy and latency.
- Integrate and validate AI/ML models in production for localization, obstacle detection, and object/pallet identification.
Deployment & Field Reliability
- Take direct ownership of resolving deployment challenges encountered during customer site rollouts — environmental edge cases, network/connectivity constraints, sensor degradation, and unexpected operational scenarios.
- Drive the verification & validation (V&V) strategy for autonomous robot behavior across simulated and real environments prior to and during deployment.
- Design for graceful failure handling and energy-aware shutdown logic to improve field reliability and serviceability.
Cross-Functional Collaboration
- Work closely with product managers and hardware teams to translate customer requirements into scalable, field-deployable solutions.
- Mentor and grow junior and mid-level engineers; document complex subsystems to support organizational knowledge-sharing.
REQUIRED SKILLS & EXPERIENCE
- 4-6 years of experience in mobile robotics / autonomous systems software, with demonstrated ownership of production AMR deployments.
- Strong hands-on experience with ROS / ROS 2, including middleware architecture and sensor fusion.
- Proven experience with Visual SLAM techniques and libraries, and a solid grasp of localization and mapping in real-world, GPS-denied environments.
- Working knowledge of Vision-Language-Action (VLA) and/or Vision-Language Model (VLM) approaches, and how to integrate foundation-model-based perception into constrained, real-time robotic systems.
- Practical experience with controllers such as PID, Stanley, or Model Predictive Control (MPC) for motion/velocity control.
- Demonstrated track record of diagnosing and resolving field/deployment issues in live customer or warehouse environments (not simulation-only experience).
- Proficiency in Python and C++ for robotics software development; familiarity with OpenCV, NumPy/SciPy, and standard ROS toolchains.
- Experience with fleet-level communication protocols (REST, MQTT, CAN) and hardware-in-the-loop or simulation-based testing frameworks.
- Prior experience leading or mentoring a small technical team, or clear readiness to step into a team-lead capacity.
EDUCATION
- Bachelor's/Master’s degree in Engineering (Robotics, Instrumentation, Computer Science, Electronics, or related discipline) required
ABOUT NOVUS HI-TECH ROBOTIC SYSTEMZ
Novus Hi-Tech Robotic Systemz Pvt. Ltd. builds autonomous systems across ADAS, ADAS Aftermarket, Mobile Robotics, and Defence Robotics. The Mobile Robotics business unit focuses on autonomous mobile robots (AMRs) for warehouse, industrial, and logistics environments, combining perception, navigation, and AI to deliver reliable, field-ready autonomy at scale.
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