AI Autonomous Systems Engineer Jobs

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Design, research, and implement state-of-the-art multi-target tracking and data association algorithms. Develop production-quality C++ software for deployed military aviation platforms, ensuring deterministic, real-time performance. Build and maintain comprehensive unit, integration, and system-level tests to validate algorithm correctness and robustness. Enhance and calibrate sensor models in advanced simulation and hardware-in-the-loop (HWIL) environments. Collaborate on feature planning, decomposition, and milestone execution within an agile development framework. Contribute to flight-test planning, performance analysis, benchmarking, and regression evaluation. For principal-level applicants, provide technical leadership, design reviews, algorithmic mentorship, and subject-matter expertise across the autonomy organization.

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Contribute to the design, development, integration, test, and deployment of the Hivemind navigation stack. Research and develop advanced state estimation and navigation algorithms for assured Position, Navigation, and Timing (PNT) in contested environments. Design, write, and deploy production-quality C++ software for aviation platforms requiring real-time, deterministic performance. Build and maintain comprehensive unit, integration, and system-level tests to validate navigation software performance under operational constraints. Develop modeling, calibration, and simulation tools for inertial and aided navigation technologies in airborne platforms. Participate in agile-based product planning, feature definition, capacity estimation, and cross-team collaboration. Contribute to ongoing system performance evaluation, regression analysis, and V&V (Verification and Validation) efforts.

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In this role, you will own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasets. You will build machine learning training and fine-tuning pipelines using Scale's robotics data. The job requires working across backend technologies (Python, Node.js, C++) and frontend stacks (React, TypeScript) to build end-to-end solutions. You will develop tools and systems for robotics data collection, teleoperation, and model evaluation, and interact directly with robotics and autonomous vehicle stakeholders to understand their technical needs and drive product development. Responsibilities also include building real-time systems for robotic control, sensor fusion, and perception pipelines, designing comprehensive monitoring and evaluation frameworks for robotics models and data quality, collaborating with machine learning engineers and researchers to bring robotics research into production, and delivering features at high velocity while maintaining system reliability and performance.

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Design and implement mission-planning, routing, and path-optimization algorithms; implement visual navigation and map-preloading for GPS-denied or spoofed conditions; integrate algorithms into backend and simulation frameworks for real-time use; build and run simulations to validate algorithm robustness under contested scenarios; design stress-testing methodologies and performance metrics for field validation; collaborate with UX and Product teams to ensure outputs are interpretable, usable, and operationally meaningful; work closely with backend teams to ensure scalability and low-latency integration.

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The role involves learning to design, deploy, and operate the backbone of AI infrastructure, working with GPU clusters, high-speed networking, and large-scale Linux systems. The candidate will contribute to the architecture of Australia's first production-scale AI datacenter systems, collaborate with AI researchers and engineers to shape the next generation of model training environments, and develop new operational and architectural approaches from first principles.

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The Engineering Manager, State Estimation will lead and manage a team of engineers developing advanced mapping, localization, and SLAM algorithms. Responsibilities include setting technical direction and project priorities aligned with organizational goals, driving cross-functional projects from conception to deployment while coordinating with research, hardware, and product teams. The role involves providing technical guidance on algorithm design, system architecture, and implementation, ensuring best practices, performance optimization, and fostering a culture of innovation and collaboration. The manager will develop and maintain project roadmaps, milestones, and documentation, partner with senior leadership for long-term strategy definition in localization, state estimation, and multi-sensor calibration, review and approve designs to ensure technical excellence and scalability, and lead recruitment, hiring, and performance management to grow the engineering team.

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The Staff State Estimation Engineer will coordinate with cross-functional teams and drive the development of advanced mapping, localization, and SLAM solutions for embedded camera systems. They will derive and implement novel real-time pose estimation algorithms, research, develop and implement algorithms to solve large-scale mapping problems, and collaborate with other engineers to develop algorithms for in-situ and in-factory multi-sensor calibration. Responsibilities include leading high-impact multidisciplinary projects independently to define scope and work requirements, sharing novel real-time pose estimation algorithms across teams, researching and implementing algorithms for large-scale mapping, probabilistic object tracking, sensor calibration, and vision-based localization, collaborating with deep learning, device, and cloud teams to improve system architectures, managing complex cross-functional projects from conception to delivery, creating and maintaining project roadmaps and technical documentation, programming and developing software in C++, and performing detailed code reviews for team members.