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SME - Autonomous Systems Engineer

Job in McConnellsburg, Fulton County, Pennsylvania, USA
Listing for: Tata Technologies
Full Time position
Listed on 2026-06-18
Job specializations:
  • Engineering
    AI Engineer (Applied/Software), Robotics
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Location: McConnellsburg

Job Title:
Subject Matter Expert (SME) – Autonomous Systems

Experience: 12+ Years

Type: Full-Time

Role Summary

We are seeking a highly skilled Subject Matter Expert (SME) with deep expertise in autonomous systems algorithm development to lead the design, development, and deployment of advanced autonomy solutions for Autonomous Ground Vehicles (AGVs) and autonomous platforms. This role is algorithm-centric, requiring strong foundations in mathematics, estimation theory, control theory, optimization, and AI/ML, combined with system-level integration capability.

Key Responsibilities
  • Act as the technical authority for autonomy algorithm development
  • Design and develop perception, localization, planning, and control algorithms
  • Develop Kalman Filters, SLAM, and sensor fusion algorithms
  • Optimize algorithms for real-time embedded platforms
  • Drive motion planning algorithms (A*, RRT, optimization-based)
  • Perform algorithm validation using MIL, SIL, HIL
  • Define performance KPIs such as latency, accuracy, and robustness
  • Integrate algorithms into embedded and ROS-based systems
  • Mentor teams and conduct algorithm and code reviews
Mandatory Skills
  • Strong foundation in linear algebra, probability, statistics, and optimization
  • Expertise in Kalman filtering, SLAM, and sensor fusion
  • Experience in real-time algorithm implementation (C++, Python)
  • Strong systems engineering and V&V experience
Core Skills – Autonomy Domain
  • LiDAR perception and 3D mapping
  • Computer vision and deep learning
  • Path planning and control algorithms
  • ROS / ROS2 and simulation tools
Qualifications
  • Bachelor’s or Master’s degree in Robotics, AI, or Engineering
  • 12+ years of experience in autonomous systems or robotics
  • Proven experience in deploying production-grade algorithm
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