Stage 2027 Optimisation des performances au décollage : analyse des bases de données d'obstacles et des pratiques opérationnelles des compagnies aériennes à partir de données en exploitation (F/H)New
Airbus Operations SAS · Toulouse, France
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Stage 2027 Optimisation des performances au décollage : analyse des bases de données d'obstacles et des pratiques opérationnelles des compagnies aériennes à partir de données en exploitation (F/H)
Lead full‑stack web application architecture and development efforts with minimal oversight, driving projects from inception to delivery.
Compensation
Base Pay Range for: WA applicants is $197,529.00 - $276,539.55
Responsibilities
Lead full‑stack web application architecture and development efforts with minimal oversight, driving projects from inception to delivery.
Train, guide, and mentor junior and mid‑level engineers on full‑stack development best practices and professional growth.
Set direction and goals for the team regarding platform architecture and influence the feature roadmap.
Communicate and collaborate effectively across the Lunar Permanence business unit, working with diverse discipline teams to understand needs and deliver impactful solutions.
Collect and analyze customer data to understand and troubleshoot application usage and performance.
Requirements
B.S. or higher degree in computer science, computer engineering, aerospace engineering, or related field or equivalent experience.
Lead R&D efforts in developing advanced optical microscopy systems for semiconductor inspection.
Responsibilities
Develop advanced optical and electro-optical modules combining lasers, light sources, detectors, high-end optics, and electrical systems
Design, build, execute, and analyze laboratory experiments to validate optical system concepts and performance
Perform physics-based simulations, optical system modeling, data analysis, and performance budgeting
Lead investigations of complex physical problems, identify root causes, and define practical technical solutions
Collaborate with multidisciplinary R&D teams including applications, algorithms, electronics, mechanics, software, system engineering, and external suppliers
Requirements
PhD in Experimental Physics, Electro-Optics, Applied Physics, or a related field
Nice to have: experience in semiconductor industry
Nice to have: experience in optical inspection systems
This job acts as a project leader, coordinating the activities of other engineers, determining technical tasks, and improving existing structures and processes.
Locations (4)
San Jose, California, United States
Chicago, Illinois, United States
Austin, Texas, United States
Scottsdale, Arizona, United States
Compensation
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: Primary Location | Pay Range: San Jose, California: ($176,500.00 - $262,350.00 Annually) Additional Location(s) | Pay Range: Chicago, Illinois: ($160,500.00 - $238,700.00 Annually) Austin, Texas: ($160,500.00 - $238,700.00 Annually) Scottsdale, Arizona: ($152,500.00 - $226,600.00 Annually)
Backend Engineer on the Venmo Identity Engineering team, developing secure, scalable backend solutions for authentication and authorization.
Locations (2)
San Jose, California, United States
Austin, Texas, United States
Compensation
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: Primary Location | Pay Range: San Jose, California: ($143,500.00 - $212,850.00 Annually) Additional Location(s) | Pay Range: Austin, Texas: ($130,500.00 - $193,600.00 Annually) Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
Responsibilities
Delivers complete solutions spanning all phases of the Software Development Lifecycle (SDLC)
Advises immediate management on project-level issues
Guides junior engineers
Operates with little day-to-day supervision, making technical decisions based on knowledge of internal conventions and industry best practices
Applies knowledge of technical best practices in making decisions
This job will develop and implement data science models and algorithms to support business needs.
Compensation
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: Primary Location | Pay Range: Tokyo, Tokyo Prefecture; (¥6,215,000.00 - ¥8,888,000.00 Annually)
Responsibilities
Develop and implement data science models and algorithms
Analyze and interpret complex data sets
Ensure data quality and integrity
Collaborate with stakeholders to understand data requirements
Optimize data processes for efficiency and performance
Requirements
Bachelor’s degree
Nice to have: experience extracting insights and engineering features from large datasets (clickstream data, app activity data, streaming service logs)
Nice to have: experience working with a BI tool like Looker, Tableau
Nice to have: experience developing predictive models applied to real-world business problems in technology industry
Nice to have: experience working with production ML pipelines with a managed service like Sagemaker