Principal/Senior Principal Systems Engineer – High Performance Computing (California)

RELOCATION ASSISTANCE: Relocation assistance may be available

CLEARANCE REQUIRED FOR START: Yes

CLEARANCE TYPE: Top Secret

TRAVEL: Yes, 10% of the Time

Description

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

Northrop Grumman is one of the industry leaders in Stealth Technology. As such, we are involved in all phases of development, production, and maintenance of Low Observable (LO) platforms.

 

We are currently looking for experienced Low Observable / Survivability staff to work on a variety of challenging projects. We are in the need of talent n High Performance Computing (HPC) Systems Engineering and are looking for a Principal/Senior Principal Systems Engineer – High Performance Computing. This position will be located on-site in Redondo Beach, California.

 

The successful candidate will become the protege for our resident Subject Matter Expert and an industry leader in HPC for Survivability Computational Electromagnetic codes and tools. They will work in tandem with the SME to push the envelope in scientific electromagnetics to solve the largest and most complex problems ever, in increasingly shorter amounts of time—enabling our engineering teams to successfully and timely design, optimize, and validate the future of LO platforms. They will also implement Artificial Intelligence / Machine Learning to support code deployment, maintenance, and optimization efforts. The lessons learned from existing HPC systems will inform the architecture, deployment, and utilization of new computation technologies and capabilities. 

 

In this role, specific tasks the candidate will perform include, but are not limited to:

 

• Collaborate with IT, Cybersecurity and HPC engineering to manage HPC systems throughout life cycle (concept, design, fabrication, test, installation, operation, maintenance, and disposal)

• Perform HPC technical planning, system integration, verification and validation, cost and risk evaluation, and supportability and effectiveness analyses: 
• Monitor and report HPC system health/metrics. Gather data; perform analysis; reproduce, resolve or escalate, and drive issues through to closure. 
• Identify and resolve system performance bottlenecks. 
• Diagnose hardware and software configuration issues. 
• Perform basic hardware fixes (e.g. replace faulty memory, hard drives, etc.). 
• Provide oversight of System Administration tasks. 

• Assist software developers in the installation, optimization, and debug of scientific engineering codes and other Survivability design and analysis tools. 

 

Basic Qualifications:

• Principal HPC Engineer: Bachelor’s Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline and 5 years of related engineering experience; OR a Master’s degree in a STEM discipline and 3 years of related engineering experience; OR a PhD in a STEM discipline and 1 years of related engineering experience.
• Senior Principal HPC Engineer: Bachelor's degree in a STEM discipline (Science, Technology, Engineering or Math) with 8 years of related engineering experience; OR a Master’s degree in STEM with 6 years of related engineering experience; OR a PHD in STEM with 4 year of related engineering experience
• Experience with HPC system design, supercomputer implementation, HPC networked architecture and parallel processing optimization.
• Knowledgeable in parallel programming (CUDA, inlining, vectorization, concurrentization and parallelization of software).
• Knowledgeable in Linux systems management, e.g. parallel file systems, memory management, and kernel optimization.
• Programming experience with C++ or