Senior Software Engineer (JPE - 056)

Posted 2 Days Ago
Be an Early Applicant
Fort Meade, MD, USA
In-Office
Senior level
Artificial Intelligence • Cloud • Information Technology • Analytics
The Role
Design and implement high-throughput, low-latency GPU or FPGA acceleration pipelines for a government mission program. Develop accelerator kernels, host-side APIs, device drivers, and runtime libraries in C/C++. Optimize GPU microarchitecture, data streaming, occupancy, and memory utilization while collaborating with software engineers, algorithm researchers, and system architects.
Summary Generated by Built In

Serving Maryland and the Greater Washington D.C. area, SageCor Solutions (SageCor) is a growing company bringing complete engineering services and true full lifecycle System Engineering services to areas requiring (or desiring) nationally-recognized expertise in high performance computing, large data analytics and cutting edge information technologies.  

Active TS/SCI w/ Polygraph required.

Overview:
SageCor is seeking a senior software engineer to design and build high-performance acceleration pipelines for a government mission program. The work centers on GPU architecture and development. It spans the full path from accelerator kernels through host-side software. The engineer works closely with software engineers, algorithm researchers, and system architects to define the right hardware-software solution for demanding throughput and latency requirements.
Responsibilities:
  • Architect and implement high-throughput, low-latency acceleration pipelines using GPUs (CUDA/HIP) or FPGAs (RTL/HLS)
  • Architect and implement host-side APIs, device drivers, and runtime libraries in C/C++ that stream data between CPUs and accelerators
  • Partner with software engineers, algorithm researchers, and system architects to define optimal hardware-software solutions
Required Qualifications:
  • Expert-level C/C++
  • Python
  • Docker
  • CUDA, OpenCL, and ROCm/HIP
  • Deep understanding of GPU microarchitecture, including warp/wavefront schedulers, shared memory utilization, and occupancy optimization
Preferred Qualifications (FPGA):
  • SystemVerilog, Verilog, or VHDL
  • C/C++ for HLS
  • AMD/Xilinx Vivado or Vitis, or Intel Quartus Prime
  • Integration of high-speed IP such as PCIe Gen 4/5, DDR4/5, HBM, or 100G Ethernet
Nice to Have:
  • Agentic AI
  • Machine learning
  • Kubernetes or Docker Swarm
  • Agile development

Consistent with federal and state law where SageCor conducts business, SageCor Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class.

Skills Required

  • Expert-level C/C++ experience
  • Python experience
  • Docker experience
  • CUDA experience
  • OpenCL experience
  • ROCm/HIP experience
  • Deep understanding of GPU microarchitecture, including warp/wavefront schedulers, shared memory utilization, and occupancy optimization
  • SystemVerilog, Verilog, or VHDL experience
  • C/C++ for HLS
  • AMD/Xilinx Vivado or Vitis, or Intel Quartus Prime experience
  • Integration of high-speed IP such as PCIe Gen 4/5, DDR4/5, HBM, or 100G Ethernet
  • Agentic AI experience
  • Machine learning experience
  • Kubernetes or Docker Swarm experience
  • Agile development experience
  • Active TS/SCI with Polygraph security clearance
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The Company
HQ: Baltimore, MD
38 Employees
Year Founded: 2015

What We Do

SageCor Solutions is a Maryland-area engineering firm serving Intelligence Community and Department of Defense customers. Founded to support high-performance computing missions, it now delivers full-lifecycle systems engineering, high-performance data analytics, artificial intelligence and machine learning, cloud architecture, software and hardware design, cybersecurity, testing, and technical advisory services. Its mission is to solve complex national-security technology challenges through specialized engineering expertise.

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