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Staff Software Engineer - Qualcomm Advanced Robotics ...

MSCCN - Santa Clara, CA

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Job Description

What youll do- Develop the software architecturefor the Qualcomm Robotics platform interfaces, runtime, QoS, and safety envelopes across Linux + MCU subsystems; drive DDS/ROS 2 patterns for reliable, real-time data flow on heterogeneous compute, and system mapping and optimization to Qualcomm Robotics platform.- Develop the platform roadmapand technical design reviews across perception (VIO/VSLAM, DFS), mapping, semantic scene understanding, navigation, manipulation, and SDK components; ensure high performance and low power on our SoCs.- Drive real-world validationusing sim-in-the-loop and HIL; establish metrics for robustness, determinism, and regression across camera/IMU/LiDAR stacks and whole-robot scenarios.- Optimize for heterogeneous compute(CPU/GPU/DSP/NPU) and camera pipeline/ISP; guide teams on concurrency, memory/power budgets, and accelerator utilization for on-device AI.- Champion safety and reliabilitypractices and interfaces compatible with relevant standards (e.g., ISO 26262/IEC 61508 alignment where applicable) and design for field diagnostics, observability, and OTA update paths.- Mentor and grow senior engineersacross core platform, perception, controls, and SDK setting crisp technical direction, code quality bars, and review culture.- Engage customers and partnersas the senior technical face of the platform clarify requirements, guide integrations, and translate learnings into the roadmap.How youll lead- Set the technical barfor platform correctness, determinism, and developer experience.- Coach senior ICs and tech leads, building a strong review cultureand CI/CD disciplinefor robotics.- Partner with product and silicon teams to align software roadmapswith SoC capabilitiesand customer needs.Why Qualcomm- Opportunity to shape the software heartof a rapidly scaling robotics portfolio used across industrial, commercial, and emerging humanoid form factors.- Build on a mature developer ecosystem (RBx/QRB platforms, on-device AI toolchains) and ship at the edge, globally.Minimum Qualifications:Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.ORPhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.Preferred Qualifications:5+ yearsin software engineering, with4+ yearsbuilding robotics platforms, Ubuntu, ROS2 or complex real-time distributed systems; proven record shipping SDKs or core runtimes.Expert inC++ (modern)andPythonwith production experience inROS2andDDS(QoS, discovery, message design, and tracing).Depth in:Physical AI embedded and virtual platforms,SLAM/visual-inertial odometry,dense/stereo depth,semantic mapping,planning and controls, ormanipulationwith demonstrable system-level integration on embedded platforms.

Created: 2026-05-06

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