Optimization Expert - Military Veterans

Job Description

At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Jeppesen, a subsidiary of The Boeing Company, is one of the largest software development companies in Gothenburg. We develop innovative optimization solutions for the world’s leading airlines. We are dedicated to continuous improvement, delivering more value to our clients, and exploring emerging technologies such as quantum computing, AI and big data analytics.

At Jeppesen’s office in central Gothenburg you will work in a one-of-a-kind software development organization with fascinating solutions that make a real difference to people around the world. You will be working in an agile learning organization, surrounded by a team of talented, creative and dedicated colleagues. You will learn and broaden your perspective by working with 400 professionals from more than 30 different nations, but also be part of a global organization allowing for collaboration with customers and colleagues across the world. Most importantly, you will be expected to make a difference.

To find out more about the current product and solutions, please click the following link: https://ww2.jeppesen.com/airline-crew-optimization-solutions/

Position Responsibilities: 
We are on the lookout for an Optimization Expert to join our team in Gothenburg, Sweden. In this role, you will address complex, real-world optimization challenges in the aviation industry, focusing on real-time crew scheduling and disruption management. Our mission is to ensure efficient crew assignments while minimizing operational costs, adhering to stringent regulatory requirements, and dynamically responding to unforeseen disruptions such as delays or crew unavailability. To achieve this, we leverage mathematical techniques such as column generation and mixed-integer programming (MIP). We apply local search or meta heuristics when applicable and expect Machine Learning to play an important role moving forward. 

You will work together with a small team of skilled optimizations and software engineering professionals, taking a holistic approach to problem solving, everything from core algorithmic research to meeting customers. As an Optimization Expert, you will be working with mathematical algorithms, contributing to our C++ codebase. Collaboration is at the heart of our work culture, and we embrace pair- and mob-programming as effective strategies for generating high-quality code. We work closely with customers and other development teams to develop solutions and improve user experience.

We prioritize innovation and continuous improvement, guided by our Software Craftsmanship mindset in design and quality assurance. Join us to gain insights, collaborate with customers, and engage in our Optimization Community of Practice (CoP) as we, among other things, advance our AI initiatives.

Basic Qualifications:

As a person, we believe that you
•    have a PhD or a master’s degree with a minimum of 5 years of experience within (or close to) the field of Optimization, or the equivalent work experience
•    are a problem solver, with an eye for making the complex simple
•    are a team player and comfortable with pair and mob programming
•    are happy to experiment, fail fast and share your learnings with us
•    embrace agile ways-of-working
•    are fluent in English (written and spoken) 

Preferred Qualifications:
•    C++ programmer, who wants to keep growing your programming skills
•    Experience working in a Linux environment
•    Some Python knowledge
•    Knowledge and/or interest in AI
•    Experience and/or interest in solving highly complex scheduling problems 
•    Experience and/or interest in the airline industry

This position is hybrid. This means that the selected candidate will be required to perform some work onsite 2-3 days a week. This is at the hiring team’s discretion and could potentially change in the future

Relocation:
This position does not offer relocation. Candidates must live in the immediate area or relocate at their own expense. 

Visa Sponsorship:
Employer will initiate the visa application; however, the successful candidate will cover the cost of visa.

Join us if you want to:

• Get professional skills development with our virtual learning tools and platforms (Digital Campus, LinkedIn Learning, Degreed, EdX, Enterprise Mentoring, and Communities of Excellence & Practice)

• Broaden your experience in international projects, technical workshops and hackathons

• Enjoy additional days off for Christmas break (December 24th-January 1st)

• Participate in employee recognition program (Boeing PridePoints)

• Have Private Medical Insurance (Skandia)

Please apply by sending your CV in English.

Equal Opportunity Employer:

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.

We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.