Staff XR Distributed Compute Engineer

Remote in San Diego, CA, US • Posted 30+ days ago • Updated 6 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Network
  • Artificial Intelligence
  • Backbone.js
  • Real-time
  • Systems Architecture
  • Computer Networking
  • Collaboration
  • Reasoning
  • Routing
  • Optimization
  • Computer Hardware
  • C++
  • Multithreading
  • Management
  • LangChain
  • Autogen
  • Orchestration
  • Distribution
  • Scheduling
  • Advertising
  • WWAN
  • Wireless Communication
  • P2P
  • Communication
  • Research and Development
  • Bridging
  • Research
  • System Implementation
  • Problem Solving
  • Conflict Resolution

Summary

Multimodal, always on perception and agentic AI are driving designs and adoption of new personal, wearable, and eXtended Reality platforms. Qualcomm's XR Labs team is seeking a skilled systems engineer to design and build software systems for next generation of power-aware distributed agentic AI. In this role, you will design and implement the orchestration layer for a network of heterogeneous personal wireless devices-including wearables and companion platforms-that collaboratively sense and process complex multimodal inputs. Our goal is to move beyond simple prompt-response cycles toward autonomous, goal-oriented agent networks that can dynamically distribute compute workloads across local and edge resources. You will work at the intersection of high-performance system programming and cutting-edge AI, building the communication and execution backbone that allows these agents to discover one another, negotiate tasks, and synchronize shared contexts in real-time.

The responsibilities will include:

  • System Architecture & Orchestration: Develop and maintain performant services for agent orchestration, task decomposition, and workload distribution across a mesh of personal devices.

  • Discovery & Networking: Implement robust device-to-device (A2A) advertising and discovery mechanisms, ensuring low-latency handoffs and stable peer-to-peer connectivity in dynamic environments.

  • Multimodal Integration: Coordinate the processing of multimodal sensing data across distributed nodes, optimizing for power-aware, latency-optimized inference with minimal communication overhead.

  • Multi-Agent Coordination: Utilize agentic patterns and frameworks to manage complex reasoning task routing, tool invocation, and context propagation between specialized agents.

  • Optimization and Deployment:Build, optimize, and benchmark distributed compute workloads to meet the stringent latency and thermal constraints of wearable hardware.

Job requirements:

  • Strong performance in modern, performant C++ with a deep understanding of multi-threading, memory management, and systems-level programming. (5+ years)

  • Hands-on experience building and deploying multi-agent networks using LangChain, AutoGen, or similar orchestration frameworks. (3+ years)

  • Proven track record in designing workload distribution logic, task scheduling, state synchronization, and handling of heterogeneous compute profiles. (3+ years)

  • Strong understanding of discovery protocols and advertising mechanisms. Highly desirable: hands-on experience with WWAN, WiFi Aware/NAN and/or BT protocols for P2P ranging and communication.

  • Ability to work in a fast-paced R&D environment, bridging the gap between research and production-grade system implementation utilizing problem-solving skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX171842
  • Position Id: 4286ba5fd5b20b7fc474d035a464e2c7
  • Posted 30+ days ago
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