16 meilleures offres (computing systems engineer) (à pourvoir)

Machine Learning Engineer - Foundational
Harmattan AI —Zürich, ZH
- 100%
- Niveau Doctorat
- Recherche
- Niveau Master
Standard Custom Design Engineer
Synthara AG —Zürich, ZH
- Niveau Doctorat
- Niveau Master
- Python
DevOps Engineer III (Data Platform)
Bundesverwaltung - Eidgenössisches Departement für Verteidigung, Bevölkerungsschutz und Sport VBS —Wald, ZH
- Anglais
- Linux
Technical Account Manager - Energy Transformation (m/f/d)
MathWorks —Berne, BE
- Niveau Licence
- Sans diplôme d'enseignement supérieur
- Production
Electronic Design Engineer, Principal
M/A Com Technolgy Solutions —Zürich, ZH
- Niveau Doctorat
- Microsoft Office
- Niveau Master
il y a 6 jours
Senior Compiler Engineer
NVIDIA —Zürich, ZH
- 100%
- Niveau Master
- C++
- Niveau Licence
Senior Data Scientist
Procter & Gamble —Genève, GE
- 100%
- Bar
- Niveau Doctorat
- Anglais
- Caisse de pension
Sr. Delivery Consultant – AI ML, Professional Services, AWSI HCLS
AWS EMEA SARL (Switzerland Branch) —Zürich, ZH
- 100%
- Bar
- Militaire
- Bases de données
Principal Cadence Layout Engineer
M/A Com Technolgy Solutions —Zürich, ZH
- Niveau Licence
il y a 6 jours
Senior Compiler Engineer
NextSilicon —Zürich, ZH
- Niveau Doctorat
- Niveau Master
- C++
Postuler rapidement
Health & Safety Manager, Data Center Health and Safety , Data Center Health and Safety
Amazon Data Services Switzerland GmbH —Zürich, ZH
- 100%
- Anglais
- AWS
- Construction et rénovation
Research Fellowship: Applied Physics and Engineering
CERN —Genève, GE
- De 7 004 CHF à 7 425 CHF par mois
- 100%
- Niveau Doctorat
- Anglais
- Recherche
- Formation sur place
Postuler rapidement
Sr. Delivery Consultant - Security, Global ProServe Security
AWS EMEA SARL (Switzerland Branch) —Zürich, ZH
- 100%
- AWS
Senior GPU Networking Architect
NVIDIA —Zürich, ZH
- De 292 500 CHF à 650 000 CHF par an
- 100%
- Informatique
- Compétences rédactionnelles
- Niveau Master
Senior Marketing Manager
Domera Labs —Zürich, ZH
- De 65 000 CHF à 100 000 CHF par an
- 100%
- Leadership
- Python
Postuler rapidement
il y a 4 jours
Software Engineer II, Sustainability, Full Stack
Google —Zürich, ZH
- 100%
- Informatique
- Niveau Doctorat
- Analyse de données
17 h

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Machine Learning Engineer - Foundational

Harmattan AI
Zürich, ZH

Soumettre votre candidature

Détails de l'emploi

100%

Qualifications

Niveau Doctorat
Recherche
Niveau Master
C++

Description complète du poste

About Us

Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces.

Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.

About the Role

As a Machine Learning Engineer on our Foundational team in Paris, you will build the "brain" of our tactical robots. You will design and scale large-scale, multi-modal foundational models that learn robust representations of the battlefield using Self-Supervised Learning (SSL) from massive amounts of unlabelled Electro-Optical (EO) and Infrared (IR) data. Your work provides the critical foundational weights that our Edge AI team distills into hyper-accurate models running on tactical hardware.

Responsibilities

Multi-Modal SSL Architecture Design: Design neural network architectures (Vision Transformers) and loss functions (Masked Autoencoders, Contrastive Learning) to jointly learn from paired and unpaired EO and IR data.
Distributed Training Infrastructure: Manage and optimise training pipelines across multi-node GPU clusters, handling mixed-precision training and data loading.
Representation Evaluation: Develop metrics and linear-probing benchmarks to prove the latent space captures useful semantic features before distillation.
Data Strategy: Audit existing EO/IR data lakes and implement cross-attention mechanisms to fuse diverse sensor features.
Cross-Functional Collaboration: Sync with Data Engineers on ingestion pipelines and collaborate with the Edge AI team to ensure high-performance model handoffs.
Candidate Requirements

Educational Background: A PhD or a highly research-focused MS in Computer Science, Machine Learning, Computer Vision, or Applied Mathematics.
Proven Experience: Minimum of 5-6 years of experience for senior levels. Experience training and scaling deep learning vision models (ViTs, CNNs) from scratch in multi-GPU/multi-node environments. Successful application of novel SSL or multi-modal architectures (e.g., CLIP, MAE, DINO) to real-world, non-standard imaging data (IR, SAR, or hyperspectral).
Technical Proficiency: Hardcore PyTorch engineering skills combined with deep mathematical intuition for representation learning. Knowledge of system-level languages (C++, Rust, or Go) and resource optimisation for edge computing.
Complexity & Leadership: Ability to architect state machines for fault-tolerant data pipelines and mediate technical trade-offs between hardware and algorithm teams.
Commitment & Mindset: 100% dedication to Harmattan AI’s mission of providing an ethical defence edge to allied countries. A hybrid researcher-engineer mindset that treats data quality as seriously as algorithm design

We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

Soumettre votre candidature

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computing systems engineer emplois

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Research Fellowship: Applied Physics and Engineering

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : computing systems engineer

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