Principal GPU Software Engineer

We are looking for a Principal GPU Software Engineer to develop GPU-accelerated software targeted

for real-time analysis

This role is remote and can be based anywhere within the US.

Responsibilities:

• Work closely with research and algorithm experts, accelerating bioinformatics techniques

using GPU hardware

• Proficient in developing GPU-accelerated software in C/C++, with familiarity in Python for

signal processing numerical analytics

• Support software development lifecycle and Design Control process, working closely with

team members to continuously improve quality and feature sets of the software products,

based on technical design and requirements specifications

• Produce well documented software along with test and validation to build high quality output
• Establish best practices for software development methodologies and standards to ensure

the highest quality of the software product delivered to users

• Proactively work with engineering and research teams to ensure all technical aspects of

software development are accurately communicated to all stakeholders

Requirements:

• Bachelor's degree in Computer Science, Computer Engineering or related field plus 10 years

of direct related experience. Master/PhD is a plus.

• Object-oriented programming in C++ and experience with GPU-accelerated C/C++ libraries

such as CUDA, Thrust, TensorFlow, etc.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.