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 · Toulouse, France
Internship · Entry
Hardware/System QA & Failure Analysis EngineerNew
Advanced Micro Devices, Inc · Shanghai
Mythos – CrowdStrike Falcon Platform EngineerNew
XPT Software Australia Pty Ltd · Melbourne, Australia
Support the validation, qualification, and integration of compact semiconductor models into production Process Design Kits (PDKs) and develop automated workflows for model qualification and release management.
Responsibilities
Support the validation, qualification, and integration of compact semiconductor models into production Process Design Kits (PDKs)
Perform systematic quality assurance and qualification of compact models prior to production release
Validate electrical model behavior across process corners, voltage ranges, temperature conditions, device geometries, and operating regions
Develop and maintain regression test suites covering DC, AC, transient, noise, and other relevant simulation analyses
Identify model discontinuities, convergence issues, numerical instabilities, and non-physical behavior, and support their resolution
Intern to support image-processing and calibration/validation activities for Earth-observation missions, developing engineering prototypes and evaluating AI/ML methods.
Compensation
Gratification: €1,300 gross/month.
Responsibilities
Review DSNU, radiometric calibration, and relevant EVP processing and CAL/VAL practices.
Work with EVP engineers to identify suitable routine images, metadata, and reference calibration data; document data limitations and provenance.
Prepare a reproducible dataset and establish reference baselines, including a holdout evaluation strategy that avoids tuning and testing on the same acquisitions.
Implement a baseline estimator: a data-fit term combined with a regularizing prior.
Investigate additional AI/ML methods only where suitable training or validation data are available; compare them against the baseline rather than assuming they are superior.
Requirements
Student in engineering, applied physics, remote sensing, image processing, data science, or a related field
Analyze and translate business needs to create product requirements for blockchain strategy.
Locations (3)
Chicago, Illinois, United States
London, England, United Kingdom
Singapore, Singapore
Compensation
The annual base salary range for this position is $125,000 to $200,000, depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.
Responsibilities
Gather and analyze information across multiple data sources to arrive at actionable recommendations across many different areas of business, including operations, and technology
Assist BD and management to execute on strategic growth opportunities, including economic model design and evaluation for strategic partnerships
Work cross-functionally to understand feasibility of new business initiatives and design processes to support
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)
Be responsible for development of solutions for Google's enterprise network, executing new features qualification and validation through network development, deployment, operation, and optimization.
Scale systems sustainably through tools and automation, and evolve systems by driving change that improves reliability and velocity.
Complete the requirement analysis, engineering design, and solution development of Google’s enterprise network infrastructure.
Work with Partner teams to analyze requirements or potential problems and proactively develop solutions and policy recommendations.
Lead development of Google’s Enterprise Network infrastructure through published engineering design documents and specifications. Lead the requirement analysis, engineering design and solution development of Google’s enterprise network infrastructure.
Requirements
Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience
Nice to have: multi-vendor environment
Nice to have: intermediate to expert level knowledge with Linux
Imagine making AI coding tools more effective for tens of thousands of Microsoft engineers—that’s what you’ll do on the Engineering Thrive Insights team.
Compensation
Data Science IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year.
Responsibilities
Define success metrics, design and analyze experiments, develop statistical and machine-learning models, and uncover opportunities to improve AI-assisted software development.
Build rigorous measurement frameworks, evaluate product changes, and translate complex behavioral and product data into recommendations for engineering and product teams.
Deepen expertise in experimentation, causal inference, developer productivity frameworks such as DORA and SPACE, AI product evaluation, and privacy-conscious analytics.
Prototype and develop AI models using containerized environments to operationalize, build, and validate scalable tools/applications/solutions.
Develop and deploy systems for basic retrieval-augmented generation workflows, assisting in the selection of data sources, retrieval systems, and generative models.
Requirements
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
Work closely with product managers and engineers to design, develop and deliver best-in-class technology solutions that deliver meaningful business value
Conduct market research and gather user feedback to identify user needs, market trends, and competitive landscape
Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
Nice to have: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field with 1+ year data-science experience
Nice to have: Master's Degree with 3+ years data-science experience
Image Processing InternNewLoft Orbital Solutions · Toulouse, France
Blockchain Strategy AnalystNewDRW · Chicago, US+2 more
Hardware/System QA & Failure Analysis EngineerNewAdvanced Micro Devices, Inc · Shanghai
Mythos – CrowdStrike Falcon Platform EngineerNewXPT Software Australia Pty Ltd · Melbourne, Australia
Network EngineerNewGoogle · Austin, US