Machine Learning Engineer: Perception
Design production-grade 3D perception systems for autonomous construction, fusing Lidar and camera data.
- Hybrid • Location flexible
- Full Time
- Min. 3 YOE
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Design production-grade 3D perception systems for autonomous construction, fusing Lidar and camera data.
Hardware engineer to design, characterize, integrate and validate autonomous hardware for rugged outdoor environments, leading HW programs from ideation through production.
Build distributed simulation infrastructure to enable scalable cloud pipelines for autonomous construction simulations.
Lead field test deployment, operator enablement, safety standardization, and validation across multiple sites for autonomous platforms.
Translate real-world evaluation needs into AI-native metrics and pipelines for production ML systems.
Owns agentic AI platform infrastructure, tooling, and production agents powering Bedrock’s AI applications across AWS.
Bridge between R&D lab and construction sites; deploy autonomous excavators delivering on-site performance and customer value.
Lead development of highly complex frontend interfaces for robotics, delivering real-time data visualization and ultra-low latency UX.
Architect embedded Linux stack for NVIDIA Jetson, optimize drivers and services, and harden real-time platform in Rust/C/C++ for autonomous onboard computers.
Owns test automation for onboard robotics platforms, enabling automated validation across real machines, HIL benches, and cloud simulations.
Designs, builds, and tests autonomous hardware/software stacks; executes fleet triage and integration for construction machinery.
Lead deployment and operation of autonomous construction technology, coordinating multi-site launches and customer training.
Operate heavy equipment on construction sites with strict safety standards and 10+ years of hands-on experience to meet project deadlines.
Drive cross-functional cloud platform programs for autonomous construction tech, coordinating data, infrastructure, and interfaces.
Design, develop, plan and execute comprehensive sensor test plans across laboratory, structured, and live field test environments.
Develop and deploy behavior learning models, data pipelines, and evaluation metrics for real-world autonomous systems in construction robotics.
Own sensor validation framework and data pipelines for perception, enabling reliable multi-sensor fusion in autonomous construction robots.
Leads strategic financial planning, FP&A execution, and executive-level decision support for growth initiatives and M&A.
Lead cross-functional programs for autonomous construction systems, driving hardware-software integration to production-ready deployment.
Lead cross-functional deployment timelines and programs for autonomous system deployments at partner construction sites.
Lead backend design and infrastructure for autonomous construction software powering fleet and task orchestration.
Mechanical Systems Integration Engineer responsible for physical integration of sensors, compute hardware, actuators and subsystems for autonomous construction machines, coordinating cross-functional design for scale and reliability.
Architect and develop onboard runtime framework for autonomous systems, guiding Rust-centric middleware and IPC across real-time sensors.