Qualcomm-posted 4 months ago
$192,600 - $289,000/Yr
Full-time
San Diego, CA
Computer and Electronic Product Manufacturing

Qualcomm Advanced Robotics Team is building the AI first stack and platform for the next generation general purpose robots - from AMRs and cobots to emerging humanoids by pairing heterogeneous compute (CPU/GPU/DSP/NPU) with a full Robotics SDK and developer tooling for manipulation, perception, navigation, and fleet workflows. We are leveraging our success in automated driving product portfolio, advanced AI end to end development and tools, and safety architecture to accelerate the growth in this emerging market. As Software Lead Engineer, you will be the senior technical owner for Qualcomm's robotics software platform —defining the end‑to‑end architecture, raising the engineering bar across core middleware and services (ROS 2/DDS), and leading cross‑functional teams to deliver production‑grade SDKs and reference solutions that customers can take to market. You'll combine deep systems expertise with hands‑on leadership across perception/SLAM, planning & control, real‑time Linux/MCU, and on‑device AI shipping robust software on Qualcomm robotics SoCs.

  • Own the software architecture for 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.
  • Lead the platform roadmap and 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.
  • Ship QC Robotics SDK with high‑quality APIs, samples, and build toolchains.
  • Harden CI/CD, release criteria, and developer experience for internal and external partners.
  • Drive real‑world validation using 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 & reliability practices and interfaces compatible with relevant standards (e.g., ISO 26262/IEC 61508 alignment where applicable).
  • Mentor and grow senior engineers across core platform, perception, controls, and SDK.
  • Engage customers & partners as the senior technical face of the platform.
  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Engineering or related work experience.
  • OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Engineering or related work experience.
  • OR PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
  • 4+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
  • 15+ years in software engineering, with 10 + years building robotics platforms, Ubuntu, ROS2 or complex real‑time distributed systems.
  • Proven record shipping SDKs or core runtimes.
  • Expert in C++ (modern) and Python with production experience in ROS 2 and DDS (QoS, discovery, message design, and tracing).
  • Depth in Physical AI embedded and virtual platforms, SLAM/visual‑inertial odometry, dense/stereo depth, semantic mapping, planning & controls, or manipulation.
  • Strong background in Linux for robotics, real‑time considerations, and MCU/RTOS interactions.
  • Performance engineering on heterogeneous SoCs (CPU/GPU/NPU/DSP) and camera/ISP stacks.
  • Track record leading large cross‑functional efforts (architecture docs, design reviews, de‑risking, postmortems) that landed in customer products.
  • Experience delivering developer‑facing SDKs and documentation.
  • Familiarity with Qualcomm robotics stacks and ROS 2 package ecosystems.
  • Demonstrated results in on‑device AI for perception or policy.
  • Contributions to ROS/ROS 2 or relevant open‑source robotics projects; publications/patents in SLAM, perception, manipulation, or real‑time systems.
  • $192,600.00 - $289,000.00 salary range.
  • Competitive annual discretionary bonus program.
  • Opportunity for annual RSU grants.
  • Highly competitive benefits package designed to support success at work, at home, and at play.
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