AI Systems Engineer (Engineer or Principal Engineer Level) Jobs
$111k - $166kNavstar
RELOCATION ASSISTANCE: Relocation assistance may be available
CLEARANCE REQUIRED FOR START: Yes
CLEARANCE TYPE: 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 Aeronautics Systems
has an opening for a
AI Systems Engineer (Engineer or Principal Engineer level)
to join our team of qualified, diverse individuals within our Systems Engineering organization. This role is located in
El Segundo, CA
, or
San Diego, CA
.
In this role, you will incorporate AI into a system of system architecture and ensures the development of AI-enabled systems that meet stakeholders' mission needs.
Responsibilities and Expectations:
- Develops integration & test procedures, and verification and validation approaches; and develops system operations, sustainment, and maintenance plans and procedures.
- Creates and analyzes models of a system, with the goals of increasing understanding and searching for incompleteness and inconsistency.
- Adept at a range of AI development environments/tools (reuse, repository); expert/proficient with the environment being utilized.
- Applies knowledge from various disciplines to architect and design systems; includes neuroscience, behavioral science, engineering (systems, electrical, mechanical), computer science (distributed computing/programming), philosophy/phenomenology, physics, and mathematics.
- Uses emerging verification and validation approaches in addition to the traditional ones to test 1) multi-agent systems employing algorithms that produce ever-changing outcomes related to detection and decision, pattern recognition, and prediction, and 2) systems requirements definition for a new class of systems.
- Follows best practices throughout the Engineering Life Cycle: Stakeholder requirements definition, functional decomposition, design synthesis, implementation, integration, test, verification & validation, operations, and sustainment.
- Must have a Bachelors degree in a STEM field and at least 2 years of relevant military / professional experience, OR a Master's Degree in a STEM field and at least some of relevant military / professional / academic experience
- Must have a Bachelors degree in a STEM field and at least 5 years of relevant military / professional experience, OR a Master's Degree in a STEM field and at least 3 years of relevant military / professional experience, OR a PhD and at least 1 year of relevant military / professional / academic experience
- Must have the ability to obtain and maintain an active US Government Secret or higher clearance (with a background investigation completed within the last 6 years or currently enrolled into Continuous Evaluation).
- Must have the ability to obtain and maintain Special Access Program (SAP) clearance within a reasonable amount of time as determined by business needs.
Vacancy posted 3 hours ago
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