AI Model, Framework, and GPU Engineer Job at AMD (Munich)

Senior AI Engineer

This is an exciting new role at Efficy, central to our next-generation CRM innov...

Location

France , Toulouse; Paris

Salary:

Not provided

efficy

Expiration Date

Until further notice

Requirements

Strong knowledge of the technical stack with excellent command of AI-related languages and frameworks
Experience architecting distributed, orchestrated AI systems (protocols, pipelines, integration into complex workflows)
Skills in cost-performance optimization for models (latency, GPU usage, scalability)
Strong analytical mindset, technical rigor, and ability to prioritize
Autonomy, proactivity, and ability to drive complex initiatives in a rapidly evolving environment
Excellent written and verbal communication skills in French and English (fluency required)

Job Responsibility

Define and execute the AI agents strategy within the CRM platform, ensuring strong business relevance and smooth integration into existing workflows
Design agent architectures, including MCP protocol, orchestration, tool calling, memory management, evaluation, contextualization, RAG, and prompt engineering
Oversee deployment of AI solutions in both multi-tenant SaaS and on-premise environments
Select, adapt, and industrialize European open-source models, optimizing cost-performance trade-offs
Ensure security, GDPR compliance, and explainability of all developed agents
Implement observability and evaluation tools, including tracing, A/B testing, and cost monitoring
Collaborate closely with Data Science, Product, and Engineering teams to guarantee technical and functional alignment

What we offer

A stable and growing company with an entrepreneurial mindset, where your ideas are valued, and we support you in making them happen
High flexibility—hybrid work is part of our DNA
State-of-the-art offices where teamwork is the norm
International growth opportunities and internal mobility
A competitive salary package with and a referral program
Engaging events: team lunches, after-work gatherings, sports activities, and trips
Learning opportunities: languages, technology, product knowledge, sales techniques, and leadership development

AI Engineer

Location

Vietnam , Da Nang

Salary:

Not provided

Saigon Technology

Expiration Date

Until further notice

Requirements

Have programming skills in one of these languages: Python, Java...
At least 1 years of experience working with AI/ML projects as a Data Engineer, Research Engineer, or Software Engineer.
Have experience with one of ML/DL Frameworks: Tensorflow, Pytorch, Keras, scikit-learn, Pandas, Langchain, LlamaIndex…
Have experience working with OpenAI, Gemini, any LLM... to build agents, workflows, or RAG systems.
Have experience with one of chatbot building frameworks or services like Rasa, Dialogflow, Transformer, BERT, LLM/Prompt…
Familiar with OCR algorithms or services: OpenCV, Tesseract, Textract (AWS), Google Cloud Vision, PaddleOCR.
Experience with common development tools: Linux, GPU server, Google Colab, Jupyter, Git, Docker.
Good English proficiency and communication skills.

Job Responsibility

Join in developing and applying the ML/DL techniques to resolve our client’s business problems such as building chatbot systems, LLM/Prompt, OCR systems, fraud detection systems, facial recognition systems…
Join in developing some internal products applying AI models

What we offer

Competitive Salary and Brilliant Health Benefits
Attractive salary (13th-month salary, salary review twice/year) and project bonus
Bonus programs for candidate referral, technical article writing
Interest-free loan support for personal plan
Allowance for sickness, maternity, paternity and periodic health examination
PVI health care program
The staff of the quarter and year reward
Progressive and Fun Working Environment
A professional English-speaking working environment with Agile – Scrum model
Hybrid Working Model: Flexible working time and WFH support.

Fulltime

AI Solution Engineer

As an AI Solution Engineer your role will be to architect, build, and deliver AI...

Location

United States

Salary:

130500.00 - 300000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's, Master's or other Advanced degree in Engineering, Computer Science, or similar quantitative focus
4 years + experience working with Machine Learning or Deep Learning
Experience working with Kubernetes
Competency working with the latest LLM frameworks, both Open Source (e.g. LangChain, LllamaIndex) and proprietary (e.g. NVIDIA NeMo/NIM)
Competency writing ML code (for example, using PyTorch)
Experience with Python, Unix-like systems
Ability to quickly prototype functionality into scripts for demos, integrations, troubleshooting, etc.
Understanding of hardware requirements associated with deep learning model training or inference, and how model attributes and performance factors affect it
Knowledge of current AI landscape, including popular models, frameworks, applications, and capabilities
Experience working with on-premise hardware / GPU clusters

Job Responsibility

Lead technical discussions with prospects and partners to propose HPE and partner Integrated solutions that address business challenges and opportunities using AI
Demo AI solutions (either existing or built by you) to prospects that address their use cases or desired AI outcomes
Lead Proof-of-Concepts / Proof-of-Value engagements for HPE prospects that demonstrate clear value from HPE's AI offerings, likely in combination with 3rd Party and Open Source components
Assist in any product or technical issue towards an initial sale or renewal of a customer
Help enable prospects, partners, and internal HPE teams on HPE's value in the AI landscape and how HPE and partner solutions can help solve real world business problems

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

AI Solutions Architect

We are looking for a highly skilled AI Architect with deep expertise in Generati...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

Minimum 10 years of experience in ML/AI solution architecture
Deep expertise in Generative AI: LLMs, Vision/Video models, Digital Avatars, RAG systems, and multimodal architectures
Strong experience in ML engineering, data pipelines, and scalable model APIs
Hands-on experience with Nvidia GPU systems, CUDA stack, TensorRT, vLLM/Ollama, and model optimization
Experience building AI on edge devices (Intel, AMD, Qualcomm NPUs, AI PCs)
Proficiency in AWS and Azure cloud ecosystems, including GPU-based deployments
Strong knowledge of Python, ML frameworks (PyTorch, TensorFlow), model serving frameworks, and MLOps tools
Proven track record of architecting POC, MVP, and production-grade AI products
Strong architectural documentation and diagramming skills (Mermaid, Draw.io, Lucidchart, ArchiMate)
Excellent communication skills for client presentations and internal leadership discussions

Job Responsibility

Design and architect LLM-based systems using both open-source (Llama, Mistral, etc.) and proprietary (OpenAI, Azure OpenAI, Anthropic, etc.) models
Architect video-based AI systems, including Digital Human Avatars, Video Generation, Video-to-Text, and multimodal pipelines
Build end-to-end GenAI pipelines including data ingestion, preprocessing, retrieval, fine-tuning (LoRA, QLoRA, DAPT), evaluation, guardrailing, and deployment
Define and orchestrate data pipelines, ML workflows, vector search architecture, and embedding strategies
Build scalable, secure ML engineering wrappers around models (inference servers, orchestration layers, API microservices)
Oversee experimentation frameworks, evaluation methodologies, and MLOps integration
Architect AI solutions on AWS and Azure (preferred), including GPU clusters, model hosting, DevOps/MLOps, and autoscaling
Work with Nvidia GPU server stacks (DGX, H200, H100, L40S) and edge AI systems (Intel, AMD, Qualcomm AI PCs)
Optimize AI workloads across heterogeneous compute environments
Lead AI architecture across POC → MVP → GA → production-scale phases

What we offer

Competitive base + commission
Fast growth into leadership roles

Fulltime

Senior Software Engineer, AI Platform and Enablement

We're building a next-generation AI-powered platform and web application for cre...

Location

United States , San Francisco

Salary:

180000.00 - 286000.00 USD / Year

Descript

Expiration Date

Until further notice

Requirements

Experience in deploying and managing AI models in production
Experience with the tools of large volume data pipelines like spark, flume, dask, etc.
Familiarity with cloud platforms (AWS, Google Cloud, Azure) and container technologies (Docker, Kubernetes)
Knowledge of DevOps and MLOps best practices
Strong problem-solving abilities and excellent communication skills

Job Responsibility

Build, maintain, and standardize third-party model integrations, including consulting for other engineering teams with AI model integration needs
Design, implement, and maintain our AI infrastructure supporting our machine learning life cycle, including data ingestion pipelines, training developer experience and infrastructure, evaluation frameworks, and deployments / GPU infrastructure
Collaborate with Product Managers, Research Engineers, and AI Researchers to understand their infrastructure needs and ensure our AI systems are robust, scalable, and efficient
Optimize and scale our models and algorithms for efficient inference
Deploy, monitor, and manage AI models in production

What we offer

Generous healthcare package
401k matching program
Catered lunches
Flexible vacation time

Fulltime

AI Research Lab Research Associate

We are currently seeking highly qualified interns to accelerate research towards...

Location

United States , Milpitas

Salary:

43.27 - 93.15 USD / Hour

Hewlett Packard Enterprise

Expiration Date

May 26, 2026

Requirements

Pursuing PhD degree (or other degree with significant research and innovation experience) in a relevant discipline (e.g. machine learning, computer science, electrical engineering, math, statistics, etc.)
Track record of world-class innovative contributions and ideas in machine learning
Experience with innovative solution development, such as developing proofs-of-concept, first-of-a-kind solutions, and/or technology transfer
Experience in deep learning research
Experience in developing deep learning software with high proficiency in data structures and algorithms
Strong programming skills and experience with Python, C/C++, and preferably Java
Software development experience in Deep Learning, GPU acceleration, and Model Optimization
Experience in Deep Learning and Machine Learning frameworks and models like Tensorflow, PyTorch
Experience in Transformer Neural Network architectures for Generative AI and natural language processing
Experience with Agentic AI and Generative AI workflows - desired

Job Responsibility

Conduct research and come up with solutions with a fast turnaround time
Build the software and applications for Neural Networks and Machine Learning
Work with system programming, Deep Learning frameworks and models, GPU acceleration, Model optimization, real-time streaming data, distributed computing, and deployment
Provide thought leadership and technical influence both internally and externally to HPE
Collaborate with HPE Labs research teams as well as external partners
Work in alignment with HPE's broader innovation community.

What we offer

Health & Wellbeing benefits including physical, financial and emotional wellbeing support
Personal and professional development programs
Unconditional inclusion and flexibility to manage work and personal needs.

Fulltime

New

Software Engineering Manager, Open Source AI Software Solutions

Would you like to be part of a world class team enabling Machine Learning applic...

Location

India , Bangalore

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

Experience leading the architecture, design and development of systems and application software
Experience delivering software solutions according to product roadmaps on time and with high quality
Ability to engage in cross functional team interactions and engagement with various key players and stakeholders in the organization
Experience in all the phases of software development, from requirement gathering, analysis, design, development, testing and final release to customers
Experience providing clear and timely communication related to status and other key aspects of the project to leadership team
Experience working with customers and internal support teams for resolving customer issues
Strong management and team leadership skills
Strong project management background
Willingness to learn skills, tools, and methods to advance the quality, consistency, and timeliness of AMD software products
Experience with AI frameworks, AI models and applications for said models

New

Software Development Engineer

As a core member of the team, you will play a pivotal role in optimizing and dev...

Location

China , Shanghai

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

Bachelor’s and/or Master’s Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
5+ years of professional experience in technical software development, with a focus on GPU optimization, performance engineering, and framework development
Skilled engineer with strong technical and analytical expertise in C++ development within Linux environments
Strong problem-solving skills, a proactive approach, and a keen understanding of software engineering best practices are essential
GPU Kernel Development & Optimization: Experienced in designing and optimizing GPU kernels for deep learning on AMD GPUs using HIP, CUDA, and assembly (ASM)
Strong knowledge of AMD architectures (GCN, RDNA) and low-level programming
Leveraging tools like Compute Kernel (CK), CUTLASS, and Triton for multi-GPU and multi-platform performance
Deep Learning Integration: Experienced in integrating optimized GPU performance into machine learning frameworks (e.g., TensorFlow, PyTorch) to accelerate model training and inference
Software Engineering: Skilled in Python and C++
Experience in debugging, performance tuning, and test design

Job Responsibility

Optimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorch for AMD GPUs in open-source repositories
Develop GPU Kernels: Create and optimize GPU kernels to maximize performance for specific AI operations
Develop & Optimize Models: Design and optimize deep learning models specifically for AMD GPU performance
Collaborate with GPU Library Teams: Work closely with internal teams to analyze and improve training and inference performance on AMD GPUs
Collaborate with Open-Source Maintainers: Engage with framework maintainers to ensure code changes are aligned with requirements and integrated upstream
Work in Distributed Computing Environments: Optimize deep learning performance on both scale-up (multi-GPU) and scale-out (multi-node) systems
Utilize Cutting-Edge Compiler Tech: Leverage advanced compiler technologies to improve deep learning performance
Optimize Deep Learning Pipeline: Enhance the full pipeline, including integrating graph compilers
Software Engineering Best Practices: Apply sound engineering principles to ensure robust, maintainable solutions

What we offer

AMD benefits at a glance

AI Model, Framework, and GPU Engineer

AMD

Location:
Germany , Munich

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 20, 2026

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