Principal/Staff Software Engineer

Nokia
Richardson, TX, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$125,000.0 - $232,000.0
Working hours
Regular working hours

Tech stack

Board Bringup Artificial Intelligence Confluence JIRA C++ (Programming Language) Software Quality Code Review Collaborative Software Cursor (Graphical User Interface Elements) Software Debugging Distributed Data Store Embedded Software
+14 more
Firmware Field-Programmable Gate Array (FPGA) Hardware Interface Design Real-Time Operating Systems Powerpc Software Requirements Analysis Systems Integration AI Infrastructure CPLD GitHub Copilot Control Structures Git Bare Metal Performance Monitor

Job description

As a Principal/Staff Software Engineer, you will be an advanced individual contributor responsible for owning complex technical domains and providing leadership within cross-functional teams. You will play a key role in building and scaling Optical DCI transport platforms that support the AI infrastructure super cycle, delivering ultra-high bandwidth, low-latency connectivity for distributed data centers and large-scale GPU/accelerator clusters. This involves working closely with hardware, optics, FPGA, and system teams to develop robust, scalable, and highly reliable transport solutions for optical line systems, ROADMs, high-capacity transponders, and related DCI platforms.

  • Own the design and implementation of complex embedded software and firmware components for Optical DCI transport systems supporting AI and hyperscale workloads.
  • Execute across the full embedded software lifecycle, including requirements analysis, design, implementation, integration, verification, and system-level qualification.
  • Design and develop real-time control, monitoring, and telemetry software for high-capacity optical transport, encompassing optics control, link management, fault handling, and performance monitoring.
  • Translate AI infrastructure and DCI system requirements (bandwidth scaling, latency, resiliency, automation) into efficient, maintainable software designs within established architectures.
  • Lead technical execution for a defined subsystem or feature area, ensuring delivery with high quality, performance, and reliability.
  • Participate in hardware/software co-design, platform bring-up, and debugging complex system-level issues involving firmware, hardware, optics, and FPGA subsystems.
  • Drive best practices through design reviews, code reviews, and technical guidance, raising the quality bar across the team.

Requirements

  • Strong hands-on experience developing embedded software and firmware in C/C++ on bare metal and/or RTOS-based platforms.
  • Deep expertise in real-time embedded systems, including timing-critical execution, interrupt handling, control loops, and operation in resource-constrained environments.
  • Solid domain knowledge of optical transport and Optical DCI technologies, particularly those supporting AI-scale bandwidth and latency requirements.
  • In-depth understanding of OpenROADM and OpenConfig, including YANG-based data modeling and interfaces for optical device control, telemetry, and automation.
  • Experience with ARM, PowerPC, Intel, or similar processor architectures, including low-level hardware interfaces, board bring-up, and interaction with FPGA/CPLD logic.
  • Proven experience designing and integrating hardware interfaces and interprocessor communication mechanisms in multiprocessor systems.
  • Strong systems-level thinking, with the ability to debug and resolve issues spanning firmware, hardware, and system behavior.
  • Strong written and verbal communication skills, with the ability to clearly articulate technical concepts and collaborate effectively across teams.
  • Proficiency with modern development and collaboration tools, including Git, Jira, and Confluence., * 8-12 years of relevant industry experience with a Bachelor’s degree in Science, Technology, or Engineering, OR
  • 6-10 years of relevant industry experience with a Master’s degree in Science, Technology, or Engineering.

Nice-to-Have:

  • Hands-on experience using AI-assisted development tools (e.g., Cursor, GitHub Copilot) to improve development efficiency, code quality, and execution velocity.

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