Senior Software Engineer
3 weeks ago
Pacific Northwest National Laboratory (PNNL) is seeking a highly skilled Senior Software Engineer to join our team. As a Senior Software Engineer, you will be responsible for designing, developing, testing, and deploying software applications that directly contribute to the nation's mission objectives.
You will collaborate with Government and Industry partners to understand mission needs, requirements, and translate them into robust and scalable software solutions. You will also tackle complex technical challenges with creativity and innovation, proposing and implementing solutions that go beyond conventional approaches.
This is an exciting opportunity to work in an agile environment with multidisciplinary teams, including software engineers, cloud engineers, machine learning engineers, data scientists/domain experts, UX/UI, front-end developers, scrums masters, product owners, and users.
Responsibilities- Identify mission challenges and formulate engineering solutions methodically
- Embrace software engineering excellence and delivering quality results at scale
- Employ expertise with a high-level programming language such as Python/C#
- Apply good design and innovative problem-solving skills to solve challenging technical problems
- Initiate personal direction and goals
- Demonstrate outstanding verbal and written communication skills and the ability to work in a collaborative environment
- Be passionate and self-motivated with good time management skills
- Desire to mentor and grow junior staff
- BS/BA and 5 years of relevant experience -OR-MS/MA or higher and 3 years of relevant experience -OR-PhD and 1 year of relevant experience -OR-AA and 14 years of relevant experience -OR-HS/GED and 16 years of relevant experience
- Qualifying software development experience in designing, architecting, programming, deploying, and automating software solutions in support of scientific research or consumer digital product development may be counted
- Degree in computer science, software engineering, or related field
- Strong understanding of software engineering and data management best practices
- Strong cloud architecture and implementation experience
- Experience transitioning research code (such as pytorch and tensorflow) to a deployed system
- Familiar with machine learning algorithms with hands-on experience in machine learning pipeline development
- Active Federal Q Clearance and ability to maintain such clearance
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