AI Software Product Engineer (GPU) Job at AMD (Beijing)

Software Engineer

Software Engineer – Stealth AI Start-Up – Remote (US / Canada). I’m supporting a...

Location

United States

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

5+ years of software engineering experience, ideally with exposure to developer tools, distributed systems, or high-performance applications
A strong academic foundation – typically demonstrated through excellent performance in a rigorous CS or engineering program
Great fit for someone coming from Big Tech who wants more ownership, autonomy, and direct product impact
Experience with compiled or systems-level languages (e.g., Rust, Go, C++, or similar) is a plus, but not required
Additional bonus experience with: Linux / shell development
Backend systems
GPU, graphics, or performance-oriented programming
Love building tools that improve developer workflows and productivity
Have strong engineering fundamentals and a user-focused mindset
Communicate clearly and collaborate well across teams

Job Responsibility

Build features across the full stack: design, development, testing, and deployment
Improve performance, reliability, and the end-to-end developer experience
Partner closely with engineering, product, growth, and marketing teams
Prototype new ideas and iterate quickly based on real user feedback
Mentor teammates and help shape a strong, high-quality engineering culture

Fulltime

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 Software Product Engineer (GPU Kernel)

AI Product Applications Engineer (Solution Architect) – China position is in the...

Location

China , Shanghai

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

Hands‑on experience with AI frameworks, including PyTorch, vLLM, SGLang, Unsloth, TensorRT‑LLM, Megatron‑LM, and DeepSpeed
Proven experience in LLMs, Generative AI models, transformer architectures, and end‑to‑end AI pipelines
Familiarity with AMD MI‑series GPU architecture, GPU kernel programming, and the ROCm AI software stack is strongly preferred
Strong communication and presentation skills, with the ability to articulate architectural proposals and value propositions clearly
BS required
MS preferred, with 6+ years of relevant industry experience

Job Responsibility

Lead and contribute to AI open‑source software projects that support the developer community and the broader ecosystem
Drive developer enablement through technical content (blogs, tutorials, user guides) and AI Academy initiatives
Support the success of AI developers, communities, and customer PoCs through hands‑on technical contributions
Capture and prioritize developer and customer requirements to influence AMD’s AI software and solutions roadmap
Analyze competitive AI software and solutions to identify strengths/weaknesses and clearly communicate AMD’s value propositions
Provide feedback and requirements for AI software across cloud, client, and edge deployments

Senior Software Engineer- AI

Are you looking for an opportunity to work with the latest Azure offerings and p...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

7+ years of experience in Software Development
Strong programming expertise in one or more languages such as Python, Go, Java, or C#, with experience designing production-grade services and APIs
Experience building AI-powered applications, including integrating LLMs, implementing agent or Copilot workflows, and orchestrating multi-step AI interactions
Hands-on experience with LLM application frameworks and orchestration tools such as Semantic Kernel, LangChain, or similar agent frameworks
Familiarity with retrieval-augmented generation (RAG) architectures, vector databases, embeddings, and semantic search systems
Experience evaluating and improving model performance through prompt design, evaluation frameworks, fine-tuning, or feedback loops
Solid understanding of distributed systems concepts including scalability, reliability, observability, caching, and asynchronous processing
Experience deploying and operating AI workloads in cloud environments (preferably Azure), including containerized services and GPU-enabled infrastructure
Understanding of Responsible AI practices, including model governance, safety, privacy, and evaluation of AI behaviour in production systems
Ability to work across product, research, and engineering teams to translate product scenarios into scalable AI system architectures

Job Responsibility

Design, build, and operate scalable AI systems that power intelligent product experiences, including Copilot and agent-driven workflows
Architect and implement backend services that support multi-step AI interactions, including orchestration pipelines, context management, memory/state persistence, and tool execution
Integrate large language models (LLMs), APIs, and internal services to enable context-aware, human-in-the-loop experiences across customer scenarios
Build and maintain data and inference pipelines that support model training, fine-tuning, evaluation, and real-time inference across diverse data sources
Evaluate, benchmark, and tune AI/ML models (LLMs and traditional models) to meet product requirements for accuracy, latency, reliability, and safety
Implement robust retrieval, grounding, and knowledge integration mechanisms (e.g., RAG systems, semantic indexing, vector search) to power intelligent applications
Collaborate with product managers, software engineers, and researchers to translate product vision into production-ready AI capabilities and measurable outcomes
Ensure reliability, observability, and governance of AI systems, including monitoring model performance, data quality, and responsible AI practices
Build reusable platforms, APIs, and tools that enable teams to rapidly develop AI-powered features and self-service intelligent applications

Fulltime

Principal Software Engineer

Are you looking for an opportunity to work with the latest Azure offerings and p...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

10–12+ years of experience in software engineering, with significant experience building scalable backend or distributed systems
Strong programming expertise in one or more languages such as Python, Go, Java, or C#, with experience designing production-grade services and APIs
Experience building AI-powered applications, including integrating LLMs, implementing agent or Copilot workflows, and orchestrating multi-step AI interactions
Hands-on experience with LLM application frameworks and orchestration tools such as Semantic Kernel, LangChain, or similar agent frameworks
Familiarity with retrieval-augmented generation (RAG) architectures, vector databases, embeddings, and semantic search systems
Experience evaluating and improving model performance through prompt design, evaluation frameworks, fine-tuning, or feedback loops
Solid understanding of distributed systems concepts including scalability, reliability, observability, caching, and asynchronous processing
Experience deploying and operating AI workloads in cloud environments (preferably Azure), including containerized services and GPU-enabled infrastructure
Understanding of Responsible AI practices, including model governance, safety, privacy, and evaluation of AI behaviour in production systems
Ability to work across product, research, and engineering teams to translate product scenarios into scalable AI system architectures

Job Responsibility

Design, build, and operate scalable AI systems that power intelligent product experiences, including Copilot and agent-driven workflows
Architect and implement backend services that support multi-step AI interactions, including orchestration pipelines, context management, memory/state persistence, and tool execution
Integrate large language models (LLMs), APIs, and internal services to enable context-aware, human-in-the-loop experiences across customer scenarios
Build and maintain data and inference pipelines that support model training, fine-tuning, evaluation, and real-time inference across diverse data sources
Evaluate, benchmark, and tune AI/ML models (LLMs and traditional models) to meet product requirements for accuracy, latency, reliability, and safety
Implement robust retrieval, grounding, and knowledge integration mechanisms (e.g., RAG systems, semantic indexing, vector search) to power intelligent applications
Collaborate with product managers, software engineers, and researchers to translate product vision into production-ready AI capabilities and measurable outcomes
Ensure reliability, observability, and governance of AI systems, including monitoring model performance, data quality, and responsible AI practices
Build reusable platforms, APIs, and tools that enable teams to rapidly develop AI-powered features and self-service intelligent applications

Fulltime

Senior Manager, Performance AI/ML Network Deployment Engineering

The Senior Manager, DC GPU Advanced Forward Deployment and Systems Engineering i...

Location

United States , Santa Clara

Salary:

210400.00 - 315600.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Expertise in networking and performance optimization for large-scale AI/ML networks, including network, compute, storage cluster design, modelling, analytics, performance tuning, convergence, scalability improvements
Prefer candidates with solid, hands-on expertise in at least one or more of 3 domains, namely compute, network, storage
Experience in working with large customers such as Cloud Service Providers and global enterprise customers
Proven leadership in engaging customers with diverse technical disciplines in avenues such as Proof of Concept, Competitive evaluations, Early Field Trials etc
Direct experience in working with large customers and can operate with sense of urgency, own the problems and resolve it
Demonstrated leadership in network architecture, hands on experience in RoCEv2 Design, VXLAN-EVPN, BGP, and Lossless Fabrics
Proven ability to influence design and technology roadmaps, leveraging a deep understanding of datacenter products and market trends
Extensive hands-on Network deployment expertise and proven track record of delivering large projects on time. Cisco, Juniper or Arista experience is preferred
Direct, co-development/deployment experience in working with strategic customers/partners in bringing solutions to market
Excellent communication level from engineer to mid-management to C-level of audience

Job Responsibility

Collaborate with strategic customers on scalable designs involving compute, networking, storage environment, work with industry partners, Internal teams to accelerate the deployment, adoption of various AI/ML models
Engage system-level triage and at-scale debug of complex issues across hardware, firmware, and software, ensuring rapid resolution and system reliability
Drive the ramp of Instinct-based large scale AI datacenter infrastructure based on NPI base platform hardware with ROCm, scaling up to pod and cluster level, leveraging the best in network architecture for AI/ML workloads
Enhance tools and methodologies for large-scale deployments to meet customer uptime goals and exceed performance expectations
Engage with clients to deeply understand their technical needs, ensuring their satisfaction with tailored solutions that leverage your past experience in strategic customer engagements and architectural wins
Provide domain specific knowledge to other groups at AMD, share the lessons learnt to drive continuous improvement
Engage with AMD product groups to drive resolution of application and customer issues
Develop and present training materials to internal audiences, at customer venues, and at industry conferences

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

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

AI Software Product Engineer (GPU)

AMD

Location:
China , Beijing

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 02, 2026

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