Location
Maisons Laffitte, Yvelines | France
Job description
About SiPearl
Founded in 2019 by Philippe Notton and financed by the European Union SiPearl embodies Europes dream of mastering the technological heart of its supercomputers: the microprocessor.
Since our creation in 2019 we host 170 collaborators in 6 offices: France (MaisonsLaffitte Massy Grenoble Sophia Antipolis) Germany (Duisburg) Spain (Barcelona).
After a successful series A in 2023 (90M ) SiPearl has recently won an emblematic contract to equip Europes first exascale supercomputer JUPITER who will be operated by the EuroHPCs center of research from Jlich (Germany). And as the dream of a European machine crossing the 1 billion billion mark calculations per second thanks to an European microprocessor is becoming reality SiPearl is willing to hire 150 engineers by the end of 2024 !
About the role:
In this role you will work closely with Etienne Renault ourCompiler Team Leaderin order to optimizing AI applications for our architecture
What a regular day at the job might look like:
- Evaluating porting and optimizing AI applications for our architecture you will work with cuttingedge technologies.
- Involvement in estimating the performance of the next generation of highperformance chips developed at SiPearl.
- Participation in the optimization of AI frameworks and workflows to exploit heterogeneous memories and specificities of Arm architectures.
- Opportunity to work and collaborate with other teams to guide the development of new optimizations and improve the overall performance of AI and HPC workloads.
- Collaboration with customers and external partners from both industry and academia to gather information on requirements and contribute to collaborative projects.
What would make you succed in this role:
- Handson experience working with deep learning toolkits such as TensorFlow or PyTorch.
- Strong background in machine learning and deep learning techniques notably LLM.
- Experience in using implementing training finetuning and optimizing foundation models or generative models.
- Good ability to extract and analyze results.
- Comfortable with Python programming Bash and Linux.
Experience in the following is a plus:
- Experience with natural language processing computer vision or audio processing generative models (including LLM Diffusion models GANs VAEs).
- Proven R&D experience.
- Comfortable with C and parallel/distributed models.
- Experience with ARM architecture and/or vectorization and/or heterogeneous memories.
Dear candidate even if you consider you do not fulfill all the qualifications mentioned above please still apply and share with us why you believe you would be a good fit.
Recruitment process
Discovery interview with our Talent Acquisition Partner (30)
Personality test no need to worry there is no wrong or right answer; our goal is to get to see beyond your resume (45)
Technical interview (1h)
Interview with our VP Software(1h)
Benefits and conditions :
- Contract: Permanent Contract (CDI)
- Benefits : meal vouchers (Sodexo) health insurance (70% covered by SiPearl) 8 to 9 RTTs 5 days per year of remote work from any EU location
- Work model : OnSite/Hybrid (2 days remote)
- Location: MaisonsLaffitte Massy or Barcelona
- Awesome activities such as: Hackathons Training Challenges Quarterly Kickoff sessions team events Company events and much more
Are you curious to learn more about us
- Follow us on LinkedIn to stay updated with our latest news
- Get updated about our recruiting activities: Sipearl careers webpage
- Get to know a bit more about our team culture: Welcome to the jungle
At SiPearl we are dedicated to building a diverse and inclusive workplace that thrives on the strength of varied perspectives and backgrounds. We recruit talent based on merit experience and alignment with our companys goals and values.
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