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.
BASIC QUALIFICATIONS:
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or a related field with 2 years of relevant experience
- 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 for collaboration across cross-functional teams.
SPECIAL REQUIREMENTS:
- Relocation to the Oak Ridge, Tennessee area is required.
- This position requires the ability to obtain and maintain a Sensitive Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing.
Please submit three letters of reference when applying to this position. You may upload these directly to your application or have them sent to recruiting@ornl.gov with the position title and number referenced in the subject line.
Instructions to upload documents to your candidate profile:
- Login to your account via jobs.ornl.gov
- View Profile
- Under the My Documents section, select Add a Document
Linked-in
Google