Embedded Software Development Engineer

• Own embedded instrument software components: Design, develop, test, and maintain critical userspace C++ services that control and operate quantum readout instruments, with accountability for quality, performance, and reliability.
• Deliver high-performance data paths: Build and optimize near-real-time data pipelines from FPGA/SoC hardware to client software, including Direct Memory Access (DMA)-based transfers, buffering strategies, and latency-sensitive execution.
• Drive hardware-software integration: Implement and debug interfaces to FPGA and SoC components using Memory-Mapped I/O (MMIO), interrupts, and driver Application Programming Interfaces (APIs), working closely with hardware and FPGA engineers to resolve integration issues.
• Build networked, multi-client services: Develop robust C++ services that support multiple concurrent clients, versioned binary protocols, and service discovery across lab and deployment environments.
• Engineer for reliability and diagnosability: Design structured logging, telemetry, health monitoring, and crash diagnostics to support long-running, remotely operated instruments.
• Enable efficient testing and iteration: Develop simulation and mock modes for hardware-dependent code, contribute to Continuous Integration (CI) and hardware-in-the-loop testing, and validate changes across software and FPGA boundaries.
• Collaborate across disciplines: Partner with experimentalists, control/readout engineers, FPGA teams, and client developers to deliver integrated solutions, leveraging modern and AI-assisted tools to accelerate development.
• Embody our Culture and Values

• Doctorate in Physics, Engineering, or related field AND 1+ year(s) experience in industry or in a research and development environment, could include completion of a post doctoral research position

• OR Master's Degree in Physics, Engineering, or related field AND 4+ years experience in industry or in a research and development environment
• OR Bachelor's Degree in Physics, Engineering, or related field AND 6+ years experience in industry or in a research and development environment
• OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer, and/or government security screening requirements is required for this role, including:

• Microsoft Cloud Background Check (upon hire and every two years thereafter)
• Citizenship and Citizenship Verification: This role may require access to export-controlled information under applicable regulations (e.g., ITAR, EAR). Eligibility will be assessed in accordance with legal requirements.

• Ability to leverage AI tools to drive innovation and efficiency (e.g., performance modeling and analysis, research gathering, day to day task automation).
• Familiarity with designing and building AI agents/copilots that assist with design, development, experiment setup, log triage, report generation, specification generation, and knowledge retrieval (e.g. instrument manuals, design docs).

Additional or Preferred Qualifications:

• 5+ years of C++ development experience (C++17 or later) with proficient fundamentals in modern C++ design and memory management.
• Experience developing userspace software on Linux, including interaction with device drivers and system services.
• Experience building multi-threaded or concurrent systems and reasoning about synchronization, performance, and correctness.
• Experience interfacing software with hardware using memory-mapped I/O, DMA, or similar mechanisms.
• Experience building or maintaining networked services using Transmission Control Protocol/Internet Protocol (TCP/IP) and binary protocols.
• Experience using CMake and standard debugging tools (e.g., gdb, core dumps) in Linux environments.
• Experience with embedded Linux on ARM platforms (e.g., Xilinx Zynq UltraScale+), Yocto, or PetaLinux.
• Experience with scientific, Radio Frequency (RF), or signal-processing-adjacent instrumentation (ADC/DAC, data acquisition, timing systems).
• Experience designing observable and reliable systems (telemetry, health checks, watchdogs, post-mortem analysis).
• Experience building simulation or mock layers to enable CI and development without hardware.
• Familiarity with Python for tooling, automation, or client-side integration.
• Exposure to quantum computing, quantum control systems, or advanced research instrumentation.

#Quantum #QuantumCareers #MDQCareers

Quantum Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

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