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Software Engineer

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Software Engineering at Boeing

With Boeing, your software innovations can touch commercial and military aircraft, rockets and spacecraft as well as advanced cyber solutions. This is where you can build the future.
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At A Glance

Job type: Standard

Job level: Individual Contributor

Travel: Yes, 10 % of the Time

Glassdoor Company Ranking: Glassdoor Reviews and Company Rating

What does it take?

What makes a successful Software Engineering employee? Check out the info to the right to see if you have what it takes.

Success Profile

Analytical
Strategic
Problem-solver
Results-driven
Technologically-savvy
Logical

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Quote

Working on a complex system in a lab environment is challenging and exciting, but the real reward came when I got to test our system with defense customers. I was able to interface directly with the men and women who would be depending on our products and hear their feedback firsthand. Steve Jacobsen
Digital Signal Processing Engineer, Software Engineer

Software Engineering in the news:

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A Boeing lab experiments with multiple unmanned vehicle behaviors.
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The satellite that protects itself

Today, every mission relies on satellite
intelligence.
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Benefits

Bonus!

Most employees are eligible for an annual incentive award.

Skill Up

Unlimited access to online lessons, certification courses and degree-seeking programs.

Parental Leave

12 weeks paid parental leave.

Mega Match

Our 401(k) plan features generous matching and company contributions (up to 11 percent!).

Back to School

Generous funding for hundreds of accredited colleges and universities (up to $25,000 per year for many programs; up to 100% for eligible STEM-studies).

Give Back

Up to $10,000 in donations and volunteer matching per year.
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Software Engineer

Company
The Boeing Company

Job ID
**********

Date posted
02/07/2019

Location
Saint Louis Missouri United States

Other Locations

North Charleston;South Carolina;United States~

Job Description

The Boeing Company is seeking a talented and highly motivated artificial intelligence professional with software deployment and hardware experience to assist in the design, development, and deployment of intelligent systems, autonomous systems, and other advanced AI systems.A successful candidate will become part of the growing Production Analytics organization in Charleston, SC or St. Louis, MO hich is part of Boeing Research & Technology – the central R & D arm of Boeing. The ideal candidate will have experience and interest in machine learning, computer vision, planning and scheduling, and manufacturing.
A successful candidate will be able to work in the dynamic and distributed BR & T environment. An employee will typically work on multi-year projects that end with capability transitions including production environments. Project work can be funded by Independent Research and Development, Internal Application Development, Contracted Research and Development, or support to a Boeing Business Unit. An employee will work on a small project team where the knowledge and abilities of each person is important. The work is often simply described and the employee needs to be self-directed to organize and perform the work.
Collaboration with others is crucial to successful project performance as is good communication with the project manager, principle investigator, and sponsor. An employee is typically hands-on, likes to figure things out, enjoys learning new things, and is good at applying what they have learned.
Position Responsibilities Include:
The engineer will have experience in software programming and deployment.
Programming skills in languages such as Python, Java, C, C++, MATLAB, and R are necessary.
The ideal candidate will have knowledge and experience with different AI approaches and techniques.
Will have the skills and experience to design, apply, and create new algorithms, methods, and tools for the analysis of data to address project requirements.
Evaluate the performance of data analysis algorithms as well as general ability to select and apply algorithms to meet application requirements with respect to scalability.
Identify internal and external customers/sponsors, seeking opportunities to solve their analytics problems.
Work with customers to help formulate technical requirements, select analytics methods, identify gaps in existing methods, and develop new methods as necessary.
Present results to the customers and lead transition of prototype tools to them as well.Boeing is the world’s largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers and for the world.

Division

Engineering Test and Tech

Relocation Assistance Available

No. Relocation assistance is not a negotiable benefit.

Qualifications

This position must meet Export Control compliance requirements, therefore a US Person as defined by 22 C.F.R. 120.15 is required. US Person includes US Citizen, lawful permanent resident, refugee, or asylee.

Employer will not sponsor applicants for employment visa status.

Basic Qualifications (Required Skills and Experience)

Experience with designing, implementing, training, evaluating, and optimizing algorithms based on state-of-the-art computer vision techniques.
Experience in C++
Must have applicable Tooling and/or Advanced Manufacturing experience/knowledge through implementation
Must at least have a Bachelor’s Degree in Engineering

Desired Experience, Skills, and Qualifications

Experience with machine learning is highly desirable.
Experience with sensor data collection.
Experience with GPUs.
Background in SLAM, 3D reconstruction, and motion planning, path planning.
Experience with major deep learning framework such as Keras, Caffe, CNTK, Theano, Torch, and Tensorflow.Typical Education / Experience:
Degree and typical experience in engineering classification: Bachelor’s and 9 or more years’ experience, Master’s with 7 or more years’ experience or PhD with 4 or more years’ experience. Bachelor, Master or Doctorate of Science degree from an accredited course of study, in engineering, computer science, mathematics, physics or chemistry. ABET is the preferred, although not required, accreditation standard.

Experience Level

Individual Contributor

Job Type

Standard

Travel

Yes, 10 % of the Time

Contingent Upon Program Award

No

Union

No

Job Code

6J7BP4Apply

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