Signal Processing Engineer

Requisition Id 15475 

 

Overview:  

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

 

We are seeking a Signal Processing Engineer who will develop and deploy advanced sensing and communications systems for critical Energy and National Security applications.This position resides in the Autonomous and Complex Systems Group in the Advanced Computing Methods for Engineered Systems Section, Computational Sciences and Engineering Division, Computing and Computational Sciences Directorate at Oak Ridge National Laboratory (ORNL). This role requires expertise in signal processing, software engineering, and hardware integration and a desire to deliver high-performance real-world solutions. The engineer will design algorithms, develop software, and integrate real-time and HPC sensing and communications systems.

 

Major Duties/Responsibilities: 

• Design and optimize signal processing algorithms for advanced sensing and communications systems using traditional DSP techniques as well as AI/ML methodologies
• Develop sensing and communications software and integrate on real-time and HPC hardware
• Architect, develop, and optimize edge and leadership-class sensing and communications workflows and systems
• Containerize applications and develop APIs for system integration
• Implement DevOps needs, CI/CD pipelines, automated testing, deployment, and feedback
• Support system testing and deployment in real-world environments
• Deliver documentation and user training
• Collaborate with cross-functional teams to advance research in algorithms, computing methods, and engineered systems, while continually expanding technical expertise
• Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

 

Basic Qualifications:

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or a related field.
• Strong foundation in digital signal processing (DSP), including Fourier transforms, random variables, filter design, noise reduction, sampling theory, and time-frequency analysis.
• Proficiency in C, C++, Python, MATLAB, Git, debugging, and modern software engineering practices.
• Experience with GPU computing (e.g., CUDA, HIP), parallel computing (e.g., MPI, Actor Model).
• Familiarity with containerization (e.g., Docker, Podman, Apptainer), networking protocols (e.g., TCP, UDP, ZMQ), and API development.
• Hands-on experience setting up and configuring hardware (e.g., servers, switches, SDRs) for system integration.
• Proficiency in Linux environments and debugging tools.
• Strong analytical and troubleshooting abilities.

 

Preferred Qualifications:

• Master’s degree or Bachelor’s degree and 2 years of experience.
• Expertise in modeling and simulation (e.g., finite element analysis, discrete event simulation).
• Experience with Infrastructure as Code tools (e.g., Terraform, Ansible).
• Experience with HPC clusters and workload management (e.g., Slurm) and cloud infrastructure (e.g., OpenStack, OpenShift).
• Knowledge of sensor electronics, FPGA development (e.g., VHDL), and sensor electronics prototyping.
• Excellent written and oral communication skills.
• Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
• Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.
• Excellent communication skills