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Expert Software Engineer — Rapid System Prototyping & Integration

Job in Santa Rosa, Sonoma County, California, 95402, USA
Listing for: Keysight Technologies SAles Spain SL.
Full Time position
Listed on 2026-06-04
Job specializations:
  • Software Development
    Embedded Software Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 143050 - 238420 USD Yearly USD 143050.00 238420.00 YEAR
Job Description & How to Apply Below

Location

Santa Rosa (preferred) or Santa Clara, CA.

About the Role

Join Keysight’s Software and AI Labs to design and implement distributed digital data infrastructures for cutting‑edge Test & Measurement solutions. Your work will enable disruptive capabilities across high‑growth industries, including communications, quantum, semiconductor, and defense.

Responsibilities

As an Expert Software Engineer, you will technically lead rapid system prototyping and integration efforts, working with cross‑functional experts within Keysight to bring cutting‑edge Test & Measurement solutions to life across high‑growth industries. This exciting role spans multiple technology layers — Firmware, Software, GPUs, and FPGA/Hardware — with a strong emphasis on quickly assembling, integrating, and validating complex heterogeneous systems built around high‑speed data streaming and real‑time processing.

This is a high‑visibility role pushing the envelope of what can be achieved with current technology, enabling strategic projects impacting Keysight's continued growth.

Your Focus

  • Lead rapid prototyping of large‑scale real‑time heterogeneous processing systems, driving fast iteration from concept to working demonstration.
  • Integrate and validate multi‑component platforms combining CPUs, GPUs, Smart

    NICs, SoCs, and FPGAs, connected via high‑speed Ethernet (100G/200G/400G) and PCIe fabrics for high‑throughput, low‑latency data streaming and processing.
  • Design and validate high‑speed data paths end‑to‑end — from network ingestion and DMA transfers to GPU/CPU processing pipelines — ensuring line‑rate performance and deterministic behavior.
  • Serve as the integration point across hardware, firmware, and software layers — ensuring components from multiple teams and vendors work together seamlessly at full data rates.
  • Identify and resolve system‑level integration challenges across high‑speed interfaces (Ethernet MACs, PCIe, RDMA/RoCE, DPDK), firmware, and application software.
Qualifications
  • BS/MS/PhD in Computer Science, Electrical Engineering, or Computer Engineering.
  • 8+ years of experience in system integration and software/firmware development for high‑speed data streaming and real‑time processing systems.
  • Proficiency in Modern C++ and embedded programming in Linux, including kernel drivers, memory‑mapped I/O, and performance profiling tools.
  • Hands‑on expertise with high‑speed Ethernet (100G or higher), including network stack optimization, kernel bypass techniques (DPDK, RDMA/RoCE), and Smart

    NIC/DPU integration for line‑rate data acquisition and streaming.
  • Strong expertise in integrating CPUs, GPUs, and FPGAs via PCIe interconnects, including DMA engine configuration, PCIe performance tuning, and understanding of FPGA‑based data path subsystems.
  • Strong problem‑solving and debugging skills across hardware‑software boundaries, including signal tracing, interface debugging, throughput analysis, and system‑level root cause analysis.
  • Proven ability to rapidly prototype and validate complex multi‑component systems under tight timelines.
  • Excellent communication and collaboration skills, with the ability to coordinate across hardware, firmware, and software teams.
Desired Additional Qualifications
  • Experience with high‑performance real‑time systems, precise clocking and synchronization (PTP/IEEE 1588), and low‑latency DSP pipelines.
  • Familiarity with FPGA development flows (System Verilog/VHDL) sufficient to interface with and validate FPGA‑based IP blocks and high‑speed transceivers.
  • Familiarity with GPU‑accelerated data processing pipelines, including data movement (GPUDirect, CUDA streams) and memory management for high‑throughput workloads.
  • Knowledge of network protocols relevant to high‑speed data acquisition (e.g., UDP, custom streaming protocols, time‑stamped packet flows).
  • Knowledge of Agile Scrum, CI/CD, and version control practices suited to rapid prototyping cycles.
  • Exposure to modular systems (PXIe) and test & measurement applications.
  • Understanding of digital circuit schematics and hardware bring‑up processes.
Benefits
  • Medical, dental and vision
  • Health Savings Account
  • Health Care and Dependent Care Flexible Spending Accounts
  • Life, Accident,…
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