
System Architect – Compute Platform, Navigation & Embodied AI, Robotics
Austin, TXJobSeen 1 day agoSeen in employer's feed 1 day ago
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Job overview
The System Architect will define and drive the hardware and software compute stack for robotics platforms, enabling perception, navigation, and manipulation in unstructured environments. This includes architecting heterogeneous SoC designs, SLAM/VSLAM pipelines, visual language action models, and sensor‑fusion systems while collaborating across hardware, firmware, and software teams.
Skills & qualifications
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Full job description
Job Description
We are seeking a System Architect for Compute Platforms targeting Navigation and Manipulation in robotics. This role defines the hardware and software compute stack enabling robots to perceive, navigate, and manipulate in unstructured environments. The architect drives architecture of heterogeneous compute platforms (application processors, NPUs, vision accelerators) and the software stacks spanning SLAM/VSLAM, Visual Language Action models (VLAs), manipulation planning, and sensor fusion running on silicon.
Key Responsibilities Compute Platform Architecture
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Define heterogeneous SoC platform architecture (NPU/GPU accelerators, LPDDR5/HBM) for perception, planning, and control workloads
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Specify hardware accelerator requirements for transformer/CNN inference, point cloud processing, and dense depth estimation Navigation Stack – SLAM / VSLAM
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Architect VSLAM pipelines (stereo, RGB-D, event cameras, LiDAR): ORB-SLAM3, RTAB-Map, LIO-SAM, Cartographer)
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Define sensor fusion for localization: VIO (visual-inertial odometry), IMU pre-integration, UWB/GPS
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Specify occupancy mapping and motion planning stacks (A*, MPPI, TEB) adapted for legged humanoid locomotion Manipulation Stack & VLAs
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Architect VLA inference pipelines (RT-2, OpenVLA, pi0) for language-conditioned manipulation; define latency budgets
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Specify 6-DoF grasp detection and pose estimation (GraspNet, FoundationPose) and whole-body loco-manipulation planning
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Evaluate Sim2Real transfer frameworks (Isaac Sim, MuJoCo, Genesis) for HIL validation flows
Skills and Requirements
- 8+ years in AI/ML systems engineering, robotics system design is a plus
- Heterogeneous compute: ARM application processors, NPUs, GPU/vision accelerators
- SLAM/VSLAM: hands-on implementation on embedded/edge platforms
- VLA / foundation models: RT-2, OpenVLA, Octo, pi0; inference hardware requirements and optimization
- AI inference runtimes: ONNX Runtime, TFLite, quantization/pruning
- ROS 2, Python, C++; simulation (Isaac Sim, MuJoCo, Gazebo, Genesis)
- Proven ability to define compute platform architecture across hardware, firmware, and software teams
- Experience engaging with robotics OEMs, AI research labs, and open-source communities
- Bachelor's in EE, Computer Engineering, Computer Science, or Robotics (required)
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].
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