Candidates should have:
PhD degree in engineering, computer science or applied mathematics
Excellent research experience in their field, strong publication record and ability to do creative and significant research with relative level of autonomy
Good expertise in Deep Learning (DCNNs, Transformers, GANs, Diffusion Models) and Large Multimodal Language Models
Strong background in statistics, optimisation, linear algebra, and proficient programming skills (C/C++ and/or Python e.g. PyTorch) with the Linux environment
Required languages:
Fluency in English. French is a plus
Application deadline:
1st December 2026
Conduct full pipeline signal research, develop machine learning models, analyze large data sets, and support the team’s research infrastructure.
Compensation
The annual base salary range is $120000.00-$180000.00 (USD).
Responsibilities
Conducting full pipeline signal research, from ideation, via implementation and backtesting, to eventual application.
Adapting and extending existing results in the broad field of machine learning; conducting novel research as needed to potentially develop new signals that may enhance portfolio returns.
Analyzing very large data sets to extract features useful for predictive models.
Providing research assistance to the team.
Helping improve the team’s research infrastructure.
Requirements
Masters or PhD candidates in machine learning, computer science, finance, mathematics, or other quantitative disciplines
Lead development and evaluation of guidance, navigation, and control systems for advanced aerospace applications, focusing on seeker-based missile engagements and precision intercept performance.
Responsibilities
Lead the design, development, implementation, verification, and test of high quality flight and simulation software
Own the design and maintenance of 6 DOF simulations used to develop, analyze, and validate flight algorithms and code
Optimize flight and simulation software for performance, robustness, and maintainability
Define and execute analysis campaigns using trajectory optimization and evaluation tools
Present technical results, risks, and recommendations to program leadership
Requirements
Bachelor’s degree in electrical engineering, aerospace engineering, mechanical engineering, or a related engineering discipline
Master’s degree in electrical engineering, aerospace engineering, mechanical engineering, or a related engineering discipline
PhD in electrical engineering, aerospace engineering, mechanical engineering, or a related engineering discipline
Nice to have: advanced degree (MS or PhD) in electrical engineering, aerospace engineering, mechanical engineering, or a related engineering discipline
Develop and evaluate guidance, navigation, and control systems for advanced aerospace applications, focusing on seeker-based missile engagements and precision intercept performance.
Responsibilities
Designing, developing, implementing, verifying, and testing high-quality flight and simulation software
Developing and maintaining 6-DOF simulations to design, analyze, and test flight algorithms and code
Optimizing flight and simulation software for performance, robustness, and maintainability
Using trajectory optimization and analysis tools to evaluate mission performance and GNC designs
Requirements
Bachelor’s degree in electrical engineering, aerospace engineering, mechanical engineering, or a related engineering discipline
Master’s degree in electrical engineering, aerospace engineering, mechanical engineering, or a related engineering discipline
Nice to have: Advanced degree (MS or PhD) in electrical engineering, aerospace engineering, mechanical engineering, or a related engineering discipline
Lead verification of AMD’s graphics processor IP, ensuring bug-free designs through test planning, execution, and collaboration with architects, hardware, firmware, and software teams.
Responsibilities
Collaborate with architects, hardware engineers, and firmware engineers to understand new features to be verified
Build test plan documentation accounting for interactions with other features, hardware, firmware, and software driver use cases
Estimate time required to write new feature tests and required changes to test environment
Build directed and random verification tests
Debug test failures to determine root cause and resolve design defects
Requirements
Bachelor's or Master's degree in Computer Engineering or Electrical Engineering
Nice to have: Leadership or mentorship experience
Nice to have: Exposure to video codec system or other multimedia solutions
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