Staff ML Platform Engineer — Scale GPU Pipelines

Qualcomm

Roma

Ibrido

EUR 50.000 - 80.000

Tempo pieno

14 giorni+

Ricevi più risposte dai datori di lavoro

Invia un CV specifico per questa offerta in pochi minuti.

Descrizione del lavoro

Qualcomm is seeking a highly skilled Staff Software Engineer for its ML Platform team. This role focuses on building and optimizing scalable ML infrastructure across NVIDIA DGX clusters and AWS Cloud. The ideal candidate will have strong coding skills in languages like Python and C++, along with experience in cloud services like AWS.

Your responsibilities will include architecting data solutions, leading project workstreams, and implementing CI/CD pipelines. This position is perfect for technical leaders who enjoy solving complex problems.

Competenze

  • 4+ years of software engineering experience, or Master’s with 3+ years, or PhD with 2+ years.
  • 2+ years of experience with programming languages such as C, C++, Java, Python.
  • Strong proficiency in Python and at least one of Go, C++, Rust, Bash.
  • Experience with Kubernetes, Helm, Argo Workflows, ArgoCD, Docker.

Mansioni

  • Architect and develop core components of the ML platform and data infrastructure.
  • Design and implement scalable solutions for GPU clusters and distributed data pipelines.
  • Lead project workstreams, ensuring timely delivery and alignment with the platform roadmap.
  • Maintain observability and logging for performance monitoring.

Conoscenze

Python
C++
Java
Go
Bash
Kubernetes
Docker

Formazione

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field

Strumenti

AWS
GitHub Actions
Argo Workflows
ArgoCD

Descrizione del lavoro

Qualcomm is seeking a highly skilled Staff Software Engineer for its ML Platform team. This role focuses on building and optimizing scalable ML infrastructure across NVIDIA DGX clusters and AWS Cloud. The ideal candidate will have strong coding skills in languages like Python and C++, along with experience in cloud services like AWS.

Your responsibilities will include architecting data solutions, leading project workstreams, and implementing CI/CD pipelines. This position is perfect for technical leaders who enjoy solving complex problems.

Ottieni la revisione del curriculum gratis e riservata.
o trascina qui il file.
Similar jobs

Offerte di lavoro simili che vale la pena confrontare

ML Platform Software Engineer - Qualcomm, flexible on location anywhere in Europe
ML Platform Software Engineer - Qualcomm, flexible on location anywhere in Europe

Qualcomm • Roma

Ibrido
EUR 50.000 - 80.000
AI Platform Engineer: Build Scalable ML Pipelines
AI Platform Engineer: Build Scalable ML Pipelines

Reply • Torino

In loco
EUR 50.000 - 75.000
Career path
Continuous learning
Reply benefits
+1
Senior ML Platform Engineer — Scalable Pipelines & AWS
Senior ML Platform Engineer — Scalable Pipelines & AWS

Tree Trust • Italia

In loco
EUR 70.000 - 90.000
Senior ML Ops Engineer — Remote, Scalable GPU Inference
Senior ML Ops Engineer — Remote, Scalable GPU Inference

Pragmatike • Italia

In loco
EUR 90.000 - 120.000
Senior ML Platform Engineer - AWS, NLP & PyTorch
Senior ML Platform Engineer - AWS, NLP & PyTorch

SurveyMonkey • Italia

Remoto
EUR 90.000 - 120.000
DevOps Specialist
DevOps Specialist

Hermes Corporate • Italia

In loco
EUR 90.000 - 120.000
Senior ML Engineer — GenAI & Production ML Lead
Senior ML Engineer — GenAI & Production ML Lead

NTT DATA Europe & Latam • Bari

In loco
EUR 90.000 - 120.000
Data Engineer — Build Scalable AI Data Pipelines
Data Engineer — Build Scalable AI Data Pipelines

QuantumBlack, AI by McKinsey • Milano

In loco
EUR 60.000 - 90.000
Company benefits
Senior AI Inference Systems Engineer
Senior AI Inference Systems Engineer

NVIDIA • Italia

In loco
EUR 120.000 - 180.000
GenAI Platforms Engineer — Real-Time ML Systems (Remote)
GenAI Platforms Engineer — Real-Time ML Systems (Remote)

Skillvue • Milano

Remoto
EUR 70.000 - 90.000