Required Skills and Experience

• Background in mathematics, physics, computer science, or a related quantitative field.
• Strong interest and skills in applied mathematics and statistics.
• Strong experience with quantization of machine learning and AI models.
• Strong understanding of modern model architectures, including language models, diffusion models, video generation models, and/or world models.
• Experience studying the impact of numerical precision, noise, or approximation on model accuracy.
• Experience with inference performance optimization.
• Good knowledge of computer architecture, GPU architecture, or parallel computing.
• Ability to build rigorous experimentation pipelines and translate research insights into practical engineering decisions.
• GitHub profile with recent and relevant projects.
• Language: English at a proficient level. French is a plus.

Responsibilities

• Develop Arago’s quantization strategy for modern AI models, including precision studies, numerical format exploration, and model-level techniques to preserve accuracy under constrained precision.
• Study the impact of analog noise on the performance and inference accuracy of machine learning models, including language models, diffusion, video generation, and world models.
• Develop simulation tools to model analog behavior with minimal computational overhead.
• Build and maintain Arago's internal experimentation pipelines for precision and performance studies on both physical and emulated prototypes.
• Act as a technical point of contact between clients and Arago: analyze, port, and optimize client models onto Arago hardware, balancing throughput and accuracy.
• Collaborate with the software and digital architecture teams to support architectural enhancements based on the operator content of frontier model architectures.

Pay and benefits

• Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions.
• Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers).
• Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location.
• Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays.
• Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive.
• Reimbursement of 50% of the public transport subscription fee.
• A high-paced, multicultural (with 10 nationalities), and engineering-led environment.