14 meilleures offres (stack developer) (à pourvoir)

Senior Machine Learning Infrastructure Engineer (Precision, Diagnostics & Hardware)
Veeda AI —Zürich, ZH
- 100%
- Travail hybride
- Informatique
- Esprit d'analyse
- C++
Postuler rapidement
Software Engineer in Test, Robotics Middleware & Systems - Humanoid (human)
Neura Robotics —Zürich, ZH
- 100%
- Niveau Master
- C++
- Niveau Licence
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Technical SEO Specialist (20 %, ab sofort oder nach Vereinbarung)
Tincan —Zürich, ZH
- Temps partiel
- Anglais
- JavaScript
- Technologies de l'information
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Senior / Staff Documentation Engineer (AI & Docs Tooling)
TetraScience —Bâle, BS
- 100%
- Télétravail
- Niveau Master
- Niveau Licence
- JavaScript
- Congés payés
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M0 Labs - Sr. Product Manager, Stablecoins
deCircle —Zürich, ZH
- 100%
- Télétravail
- Compétences rédactionnelles
- Niveau Licence
- Compétences en communication
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Major Incident Manager
SonarSource —Genève, GE
- 100%
- Gestion du personnel
- AWS
- Python
Professional Applikations-Entwickler:in 80 - 100%
Fincons Group —Berne, BE
- Travail hybride
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Product Manager - Humanoid Platform
Flexion Robotics —Zürich, ZH
- 100%
- Niveau Master
- C++
- Compétences en communication
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Software Engineer in Test, Robotics Middleware & Systems - Humanoid (Mensch)
Neura Robotics —Zürich, ZH
- 100%
- C++
- Niveau Licence
- Linux
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Spire Labs - Senior Rust Engineer – Based Rollups (3)
deCircle —Zürich, ZH
- 100%
- Télétravail
- Niveau Licence
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Partner Business Manager - Southern Europe
SonarSource —Genève, GE
- 100%
- Bar
- Gestion du personnel
- Compétences en communication
Full-Stack Developer (Electron + AI)
caeros —Suisse
- 100%
- Télétravail
- Microsoft Outlook
- Niveau Master
- JavaScript
Staff Backend Engineer
Nango —Suisse
- De 140 000 CHF à 220 000 CHF par an
- 100%
- Télétravail
- Bases de données
- AWS
- Compétences en communication
Staff Design Engineer - EU
Ashby —Suisse
- De 154 000 CHF à 250 000 CHF par an
- 100%
- Télétravail
- Bar
- Congé pour raisons familiales
- Congé parental payé

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

Veeda AI
Zürich, ZH

Postuler rapidement

Détails de l'emploi

100%

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.

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stack developer emplois

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

Software Engineer in Test, Robotics Middleware & Systems - Humanoid (human)

Technical SEO Specialist (20 %, ab sofort oder nach Vereinbarung)

Senior / Staff Documentation Engineer (AI & Docs Tooling)

M0 Labs - Sr. Product Manager, Stablecoins

Major Incident Manager

Professional Applikations-Entwickler:in 80 - 100%

Product Manager - Humanoid Platform

Software Engineer in Test, Robotics Middleware & Systems - Humanoid (Mensch)

Spire Labs - Senior Rust Engineer – Based Rollups (3)

Partner Business Manager - Southern Europe

Full-Stack Developer (Electron + AI)

Staff Backend Engineer

Staff Design Engineer - EU

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : stack developer

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