3 meilleures offres (python developer, switzerland) (à pourvoir)

Senior Machine Learning Infrastructure Engineer (Precision, Diagnostics & Hardware)
Veeda AI —Zürich, ZH
- 100%
- Travail hybride
- Informatique
- Esprit d'analyse
- C++
Postuler rapidement
6 h
Senior Full Stack Engineer
SAEKI Robotics AG —Kloten, ZH
- 100%
- Python
Postuler rapidement
Customer Success Engineer - German Speaker (Switzerland)
Deepgram —Suisse
- De 140 000 CHF à 175 000 CHF par an
- Heures supplémentaires
- Télétravail
- Python
il y a 13 jours

More jobs to discover

Find similar jobs that you might be interested in.

Senior Full-Stack Engineer
Symphonize —Full, AG
Build and ship full-stack production applications. 10 to 15 years of experience delivering production software. Work with SQL and NoSQL databases.
Senior Frontend Engineer
Evooq —Lausanne, VD
Collaborate closely with frontend and backend engineers, product stakeholders, and other teams. We value pragmatic people who can solve problems with original…
Postuler rapidement

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : python developer (switzerland)

En vous connectant à votre compte, vous acceptez les Conditions d'utilisation de SimplyHired et consentez à notre Politique relative aux cookies et Politique de confidentialité.

Senior Machine Learning Infrastructure Engineer (Precision, Diagnostics & Hardware)

Veeda AI
Zürich, ZH

Postuler rapidement

Détails de l'emploi

100%
Il y a 6 heures

Qualifications

Informatique
Esprit d'analyse
C++
Niveau Licence
Équipement informatique
Analyse des cause fondamentales
Python

Description complète du poste

About Us

Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from leading AI labs, tackling some of the most challenging problems at the intersection of AI, robotics, and embodied intelligence. If you're excited about pushing the boundaries of what's possible with Physical AI, you'll have the opportunity to make an outsized impact from day one.

Responsibilities

Distributed Training Systems & Scalability: Design, optimize, and maintain high-throughput distributed training systems across large-scale GPU clusters for multi-modal foundation models.
Precision & Numerical Stability: Debug, diagnose, and resolve subtle numerical instability issues (underflow/overflow, loss spikes, gradient explosion, and mixed-precision divergence) in FP16, BF16, FP8, and custom quantization schemes.
Fault Diagnostics & Recovery: Build advanced fault-detection mechanisms and automated diagnostics to rapidly pinpoint and isolate silent data corruption (SDC), hardware hang/deadlock, memory leaks, and "card-freeze" issues during large training runs.
Performance Profiling & Optimization: Profile distributed communication bottlenecks, memory usage, and kernel execution to improve overall FLOPS utilization across multi-node, multi-GPU training jobs.
Developer Tooling & Infrastructure: Develop resilient checkpointing systems, rapid fault-recovery pipelines, and execution telemetry to keep researcher productivity high and hardware downtime minimal.

Requirements

You have a Bachelor's degree or equivalent hands-on experience in Computer Science, Computer Engineering, or a related technical field.
You have deep hands-on experience with deep learning training frameworks (e.g., PyTorch) and distributed training paradigms (FSDP, Megatron-LM, DeepSpeed, Tensor Parallelism, Pipeline Parallelism).
You have proven experience in numerical precision analysis, low-precision training (BF16/FP8), and debugging complex loss divergence/stability issues in massive training runs.
You have strong root-cause analysis skills for hardware/software interaction bugs, including stuck CUDA kernels, NCCL timeouts, GPU hardware faults, and silent training corruptions.
You have strong programming skills in Python and C++/CUDA, with a deep understanding of low-level GPU architectures and memory hierarchies.

Nice to Have

You have experience running or porting large-scale training workloads on AMD GPUs (ROCm platform) or Google TPUs (JAX/XLA stack).
You have contributed to low-level training infrastructure, custom CUDA/Triton kernels, or distributed training open-source projects.
You have built resilient fault-tolerant training frameworks with dynamic node re-queueing and rapid checkpointing/saving mechanisms.

Postuler rapidement

Affinez votre recherche

python developer emplois - switzerland

Senior Machine Learning Infrastructure Engineer (Precision, Diagnostics & Hardware)

Senior Full Stack Engineer

Customer Success Engineer - German Speaker (Switzerland)

More jobs to discover

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : python developer (switzerland)

Related Searches

About Us

Responsibilities

Requirements

Nice to Have

Outils pour les chercheurs d'emploi

Outils Employeurs

Parcourir

Garder le contact