Autonomous Navigation Systems Engineer

Autonomous Navigation Systems Engineer
  • posted job: 2025-06-12
  • Melbourne
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  • Job Country: Australia
  • Job Industry: Engineering & Manufacturing
  • Job Profile: Robotics Engineer
  • Training Duration: Not Required
  • Number of Jobs Opening: 47
  • Salary: 165000 ( 165000 Per Month)
  • Job Type: Full Time
  • Visa: Provided by company
  • Food: Provided by company
  • Accommodation: Provided by company
  • Air ticket: Provided by company
  • Medical Insurance: Provided by Company
  • Commuting to job location: Provided by company
  • Required Experience: Not Required
  • Minimum Education Level: Not Required
  • Employee Acceptance: International
  • Work Location: Work at Office/Being at Work
  • Hiring Need: Immediate

Job Description:

Job Description: Autonomous Navigation Systems Engineer – Engineering & Manufacturing Job Industry, Melbourne

The Autonomous Navigation Systems Engineer in Melbourne is responsible for developing, integrating, and optimizing the software and hardware systems that enable autonomous vehicles and robotic platforms to navigate complex environments safely and efficiently. This role focuses on sensor fusion, path planning, obstacle detection, and real-time decision-making algorithms to ensure seamless and intelligent navigation performance across various terrains and operational scenarios.

The engineer collaborates with interdisciplinary teams including robotics, control systems, AI, and mechanical design specialists to create robust navigation architectures. Duties include selecting appropriate sensors such as LiDAR, GPS, IMUs, and cameras, and integrating them into the autonomous platform for accurate environmental mapping and localization. The engineer also programs and tests the logic responsible for movement coordination, collision avoidance, and goal-based routing.

The role involves developing and validating simulation models and real-world testing routines to assess system accuracy, responsiveness, and reliability. Engineers use real-time data and onboard computing to continually refine navigation logic and system feedback loops. Integration with broader vehicle control and telemetry systems is also part of the job, ensuring that navigation aligns with performance and safety standards.

Operating within Melbourne’s advanced engineering and manufacturing sector, this role supports the development of next-generation mobility and automation solutions. Applications may include autonomous ground vehicles, aerial drones, industrial robots, or delivery platforms. The role is critical in shaping intelligent, responsive, and autonomous systems for diverse sectors.

This position is ideal for engineers who enjoy algorithmic problem-solving, real-time systems development, and applying advanced technology to practical, real-world challenges in autonomous navigation.

Job Requirement:

Job Requirements: Autonomous Navigation Systems Engineer – Engineering & Manufacturing Job Industry, Melbourne

The Autonomous Navigation Systems Engineer role requires expertise in navigation algorithms, sensor integration, and real-time software development. Candidates must demonstrate strong skills in developing logic for localization, path planning, and obstacle avoidance using data from multiple sensor sources. Familiarity with sensor fusion methods and SLAM (Simultaneous Localization and Mapping) is essential for creating accurate and efficient navigation systems.

Proficiency in programming languages such as C++, Python, or ROS (Robot Operating System) is crucial for designing and implementing real-time control algorithms. Applicants should have experience with data acquisition and signal processing from navigation sensors, including LiDAR, radar, GPS, and vision-based systems. The ability to optimize system latency and computational efficiency is important in real-time environments.

System-level thinking is required to coordinate navigation algorithms with overall vehicle control systems, ensuring consistency between movement planning, motion execution, and telemetry reporting. Candidates should be able to conduct rigorous testing, debugging, and validation of navigation behaviors through both simulations and physical deployments.

Strong analytical and problem-solving skills are needed to diagnose navigation anomalies, interpret sensor data, and develop corrective algorithms. The engineer must also work collaboratively with mechanical and electrical teams to ensure physical integration of sensors and computing units.

Excellent documentation and communication skills support the presentation of technical findings and system performance metrics. The ability to work independently and in fast-paced development cycles is beneficial. A proactive interest in emerging trends in autonomous mobility, AI, and robotics systems will help the engineer contribute innovative solutions in Melbourne’s competitive engineering landscape.

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