Junior GPU Software Engineer

Description

The Leidos Innovations Center has immediate openings for Software Engineers to develop software for Graphics Processing Units at our San Diego office. We specialize in developing scientific and embedded systems that apply advanced signal processing, image processing, and machine learning algorithms to important national defense problems.

In this position you will work with small teams of experienced engineers and scientists to apply your expertise and creativity to develop efficient GPU implementations of complex algorithms. In this role you will have the opportunity to enhance your technical skills and advance your career.

This is a full time position located in San Diego, CA with up to 25% telework.

Primary Responsibilities

• Develop GPU implementations of advanced signal processing and machine learning algorithms under the guidance of senior engineers and scientists.
• Optimize GPU software for high processing efficiency, high throughput, and robust performance on advanced hardware platforms.
• Analyze existing algorithms and software for translation into GPU solutions.
• Assist in the integration of GPU software into an overall system.
• Develop software tools to assist in the testing and validation of GPU solutions.
• Communicate and collaborate effectively with coworkers and customers.

Required Qualifications

• B.S. degree in Computer Science, Engineering, Mathematics, or related field and 2+ years of prior relevant experience or Master’s degree with less than 2 years of prior relevant experiences.
• Demonstrated experience in implementation of graphics processor kernel code using CUDA, OpenCL, and/or HIP.
• Current US citizenship.
• Must be able to obtain a Top Secret security clearance.

Desired Skills

• Programming experience with Cuda, C/C++, Matlab, Python
• Understanding of latest GPU hardware capabilities and memory architectures.
• Experience with Machine Learning concepts and frameworks.
• Familiarity with parallel and real-time computing concepts.
• Experience with test-driven development.
• Experience with full development processes spanning requirements analysis, algorithm implementation, coding, debugging, optimization, configuration, and deployment.
• Understanding of concepts used in signal processing, detection, estimation, classification, and machine learning.

LInC