Software Engineer - Machine Learning

RELOCATION ASSISTANCE: Relocation assistance may be available

CLEARANCE TYPE: None

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, Space Systems, is seeking for a Principal / Senior Principal Software Engineer - Machine Learning to join our team.  This position will be supporting the Propulsion Systems Division in our Facilities and Maintenance group supporting our manufacturing operations at our Case Manufacturing facility located in the Clearfield, Utah facility and the new Copper Crossing facility in Salt Lake City, Utah. 

This position will occasionally support the Promontory and Bacchus Utah locations.  Candidate must be willing to travel to all 4 campuses and be on site. 

We are excited for you to join our team of qualified and diverse individuals.  Our domain provides rewarding work that contributes to the latest advancements being made in the missile defense industry.

Description & Responsibilities: 

As a Machine Learning Software Engineer, you will be responsible for:

• Specialize in predictive analytics of new and legacy industrial manufacturing equipment.  Develop a scalable and reliable architecture for ML implementation. 

• Work with process controls engineers to identify and define PLC tags from sensors or components related to equipment health.

• Work with process controls engineers to add PLC tags into historian. 

• Coordinate with reliability engineers to create machine monitoring strategies to support the reliability centered maintenance program. 

• Utilize time series based anomaly detection and supervised models to increase the accuracy of failure prediction. 

• Build asset health dashboards to communicate current state and allow for historical trend analysis. 

There is considerable latitude for independent action and decision making.

Competencies for Success: 

• Must have good oral and written communication skills.

• Must have excellent conflict resolution and negotiating skills.

• Ability to manage time and multi-task.

• Ability to solve problems.

• Ability to work independently and use judgment to make appropriate decisions that support overall project objectives.

• Ability to drive projects and processes.

• Ability to define and create data base tables, data base connections, historian tags, visualizations.

• Ability to implement/evaluate/deploy/maintain ML models including anomaly detection with a focus on time series detection.

• Ability to utilize Python.

• Ability to utilize SQL.

• Ability to utilize ML frameworks such as TensorFlow, Pytorch, Keras & Scikit-learn.

• Ability to utilize historian such as Canary.

• Dashboard creation in Ignition Perspective, Canary Axiom, PowerBI, or Tableau.

This position may be filled at a 03 level or an 04 level.

Basic Qualifications for a level 03:

• A minimum 5 years of related engineering experience with a Bachelor’s degree; 3 years with a Master’s; or 0 years with PhD in computer science, mechanical engineering, electrical engineering, or a related discipline.

• Basic understanding of various types of manufacturing equipment.

• Experience with Python, or other Industrial IoT technology.

• Minimum of 5 years’ experience with implementing ML/IOT in a manufacturing environment.

• Understanding of reliability concepts (i.e., MTTR, MTBF, probability of failure, condition monitoring, etc.)

• Proficient in Word, Excel, MS Project, PowerPoint, PowerBI.

Basic Qualifications for a level 04

• A minimum 8 years of related engineering experience with a Bachelor’s degree; 6 years with a Master’s; or 4 years with PhD in computer science, mechanical engineering, electrical engineering, or a related discipline.

• Basic understanding of various types of manufacturing equipment.

• Experience with Python, or other Industrial IoT technology.

• Minimum of 5 years’ experience with implementing ML/IOT in a manufacturing environment.

• Understanding of reliability concepts (i.e., MTTR, MTBF, probability of failure, condition monitoring, etc.)

• Proficient in Word, Excel, MS Project, PowerPoint, PowerBI.

Preferred Qualifications:

• Experience as a Software Engineer in a manufacturing environment.

• Experience with predictive analytics / machine learning.

• Experience with PLCs and generating tags.

• Experience in manufacturing operations.

• Experience leading high functioning cross functional teams.

• Experience implementing CMMS/EAM in an organization.

• Experience with control systems including Allen Bradley, FANUC, and Siemens.

• Experience with AWS, Azure, & GitLab.

Position Benefits:

As a full-time employee of Northrop Grumman Space Systems, you are eligible for our robust benefits package including:

• Medical, Dental & Vision coverage

• 401k

• Educational Assistance

• Life Insurance

• Employee Assistance Programs & Work/Life Solutions

• Paid Time Off

• Health & Wellness Resources

• Employee Discounts 

Salary Range: $115,300.00 - $172,900.00Salary Range 2: $143,600.00 - $215,400.00

The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.

Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.

The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.

Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO/AA and Pay Transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.