NVIDIA
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
Senior Deep Learning Engineer
🕒 April 2
🌐 Poland, United Kingdom, +3 more countries – Remote
💵 zł221.3k - zł507k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
👻 Ghost score 36%
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
NVIDIA
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
📋 Description
• Improve inference speed for Cosmos WFMs on GPU platforms. • Effectively carry out the production deployment of Cosmos WFMs. • Profile and analyze deep learning workloads to identify and remove bottlenecks.
🎯 Requirements
• 5+ years of experience • MSc or PhD in CS, EE, or CSEE or equivalent experience • Strong background in Deep Learning • Strong programming skills in Python and PyTorch • Experience with inference optimization techniques (such as quantization) and inference optimization frameworks, one of: TensorRT, TensorRT-LLM, vLLM, SGLang
Apply NowSimilar Jobs
🕒 March 31
AI/ML Engineer conceptualizing and deploying AI/ML solutions for diverse client projects. Collaborating with teams and managing the ML/AI development lifecycle.
AWS
Azure
Cloud
Google Cloud Platform
Python
🕒 March 5
Machine Learning Engineer developing and maintaining ML training platforms and bidding infrastructures at RTB House. Focus on optimizing algorithms for large-scale advertising and data evaluation.
🇵🇱 Poland – Remote
💰 Private Equity Round on 2019-01
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
Java
Linux
Python
Scala
🕒 February 17
MLOps Engineer responsible for operational excellence in credit risk assessment and fraud prevention. Collaborating to build and maintain machine learning models on a large scale decision intelligence platform.
AWS
Azure
Cloud
Docker
Kubernetes
Python
🕒 February 17
MLOps Engineer supporting an enterprise analytics and optimisation platform for international banking. Operationalising analytical models and ensuring stable production workflows in cloud environments.
Airflow
Cloud
Docker
Kubernetes
Python
🕒 December 13, 2025
Senior DevOps ML Engineer supporting an enterprise AI platform focused on production-grade ML workloads. Role centered on MLOps and DevOps infrastructure ensuring reliable and secure model deployment.
Azure
Cloud
Docker
Kubernetes
Python
Terraform
Unity
