Applied AI & GPU Software Engineer Job at AMD (Warsaw)

Senior AI Models GPU Deployment Software Engineer

Join AMD and help bring cutting-edge AI models to life on AMD GPUs! We’re lookin...

Location

India , Bangalore

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

Basic understanding of GPU computing (HIP, CUDA, or OpenCL is a plus)
Interest in computer architecture and how hardware works
Familiarity with AI concepts (Natural Language Processing, Vision, Audio, Recommendations)
Programming skills in C++, Python, or similar languages
Ability to debug and test your code
Bachelor’s degree in Computer Science, Computer Engineering, or a related field

Job Responsibility

Help run and improve AI models (like Chatbots, Vision, and MultiModal systems) on AMD GPUs
Work with popular AI tools like PyTorch and TensorFlow to make them faster on AMD GPUs
Collaborate with open-source communities to share improvements
Apply good coding practices to build reliable and efficient software

Senior Software Engineer - Applied Sciences Group

Microsoft's Applied Sciences Group is at the forefront of developing groundbreak...

Location

Serbia , Belgrade

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND solid technical engineering experience with coding in C++ and Python
OR equivalent experience
High-level understanding of machine learning paradigms
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Solid experience in C++
Solid experience in Python
Experience with shipping a product end to end
Experience in low-level performance optimizations
Experience with deep learning frameworks (e.g. PyTorch, TensorFlow)

Job Responsibility

Design, build, test, debug, and ship high quality features
Work with appropriate stakeholders to determine requirements, identify the dependencies and develop the design documents
Break down larger work items and provide estimation
Deliver core algorithmic components
Work with engineers and researchers on building solutions for algorithm evaluation, comparison, and visualization
Work on algorithm optimization and productization across different platforms, including NPU, GPU and CPU
Work on the runtime end-to-end integration of individual processing components
Follow ongoing research – papers, conferences, and academia in the field
Apply engineering best practices throughout the software development lifecycle
Demonstrate initiative to incubate new ideas

Fulltime

Ai Software Engineer

Meta is seeking a Software Engineer to join our team. The candidate is someone w...

Location

United Kingdom , London

Salary:

Not provided

Software Engineer - AI SysML (Technical Leadership)

Meta is seeking an AI Software Engineer to join our Research & Development teams...

Location

United States , Sunnyvale

Salary:

219000.00 - 301000.00 USD / Year

Systems Design Engineer - AI Cluster Software

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great prod...

Location

United States , Austin

Salary:

163200.00 - 244800.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Bachelors or Masters degree in electrical or computer engineering
Evidence of end-to-end systems thinking, debugging, and tradeoff decisions
hands-on familiarity with at least two schedulers and/or orchestration systems (e.g., Slurm, Kubernetes), MPI/OpenMP, distributed storage patterns, or performance analysis
experience writing evaluation docs/RFCs with clear criteria, benchmarks, risks, and recommendations
Strong Linux fundamentals: Linux operating systems, networking, filesystems, containers, performance tooling (perf, flamegraphs, nvprof/rocprof, basic eBPF)
ability to turn complex systems into accessible, structured documentation with diagrams and reproducible steps
ROCm, RCCL, Instinct GPUs, EPYC platforms, compiler/toolchain impacts, and performance tuning
DDP, collective comms, sharded/stateful optimizers
NCCL/RCCL behavior and transport considerations (PCIe, NVLink, IF)
Slurm configuration patterns, Kubernetes for HPC/AI (GPU operators, device plugins), Apptainer/Singularity

Job Responsibility

Apply your expertise to shape AI infrastructure by creating reference architectures, configuration guides, and deployment blueprints that help internal teams and customers make informed hardware and software decisions
Perform deep technical evaluations of AI stacks across compute, storage, networking, and observability layers, documenting how they work, where they fit, and the tradeoffs involved
Design and execute reproducible experiments and benchmarking harnesses to compare technologies such as schedulers, distributed training libraries, and observability stacks
Develop small reference implementations and tools to validate performance hypotheses, analyze system behavior and more
Build a library of technical artifacts—including presentations, design documents, and “how it works” guides, to support pre-sales engineers and enable others to skill up from an HPC perspective
Present findings through demos, documentation, and internal talks, and create templates and checklists to support repeatable evaluations and cluster designs

Fulltime

Senior Staff AI Software System Design Engineer

As an AICE Software System Design Engineer, you will be responsible for the cust...

Location

China , Shanghai

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

Expert knowledge in machine learning areas such as frameworks (e.g. vLLM, Sglang, Megatron-LM, Deepspeed, TensorRT etc.)
distribution
kernel operator
compiler
runtime
driver
performance optimization for inference or training
strong programming skills in C++ and Python
hands-on experience with industry AI use scenarios, solutions, end-to-end pipelines, frameworks or SDKs
strong debugging and development skillsets

Job Responsibility

Position technical proposals and support to top customers
provide significant contribution to customer PoC success
drive custom requirements for AI SW
collaborate and interact with different teams to analyze and optimize training and inference workloads and solutions
analyze competitive solutions to identify strength and weakness for articulate value propositions
apply your knowledge of software engineering best practices

Fulltime

Senior Software Engineer, Enterprise Software Engineering

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’r...

Location

United States , San Francisco

Salary:

170000.00 - 200000.00 USD / Year

Crusoe

Expiration Date

Until further notice

Requirements

5+ years of experience building and shipping production software
Full-stack proficiency across frontend, backend, APIs, and data layers
Hands-on experience using AI-assisted development tools in a professional setting to ship real software
Strong fundamentals in at least one modern language (Python, TypeScript, Go, or similar) with the ability to learn new ones quickly
Experience building and integrating APIs and working with enterprise middleware or system integrations
Familiarity with cloud platforms, containerization, and CI/CD pipelines

Job Responsibility

Building and shipping internal tools, automations, and integrations that deliver measurable value across Finance, Operations, HR, and other business teams
Using AI-assisted development as the default workflow, including writing specs, crafting prompts, reviewing AI-generated code, and iterating rapidly
Defining foundational technical patterns, including coding standards, project conventions, reusable components, and context files that guide AI-driven development
Designing and maintaining integrations between enterprise systems using APIs, middleware, and data pipelines
Developing solutions across a hybrid environment, combining cloud application platforms with internal GPU compute for AI workloads
Partnering with business teams in rapid prototyping sprints, then hardening prototypes into production-ready systems with testing, monitoring, and documentation
Establishing CI/CD pipelines, automated testing, and quality gates for all delivered solutions
Owning solutions end-to-end, from specification and implementation through deployment and production support
Operating within tiered governance frameworks, applying appropriate review and compliance controls based on solution sensitivity

What we offer

Restricted Stock Units in a fast growing, well-funded technology company
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability
Teladoc
401(k) with a 100% match up to 4% of salary
Generous paid time off and holiday schedule
Cell phone reimbursement
Tuition reimbursement

Fulltime

Machine Learning and Generative AI Engineer

As a Machine Learning and Generative AI Engineer on our team, you will help lead...

Location

United States , Boston

Salary:

Not provided

HBS

Expiration Date

Until further notice

Requirements

Minimum of five years' post-secondary education or relevant work experience
Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline desired
Minimum of two to three years' software development experience with Python and SQL
Minimum of two to three years of experience building and deploying NLP and deep learning model pipelines into a cloud environment
Minimum two to three years of experience using PyTorch or Tensorflow, including optimizing code for GPU clusters
Experience building advanced GenAI workflows such as retrieval-augmented generation (RAG), model chaining, dynamic prompting, and parameter-efficient fine-tuning (PEFT/SFT) using LangChain, LangGraph, or similar frameworks
Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications
Experience with embedding models and tuning vector databases (e.g., Qdrant, Pinecone, Weaviate) to improve semantic search and retrieval performance
Solid understanding of the theoretical foundations of LLMs, including Transformer architectures and self-attention mechanisms
Experience with relational and NoSQL databases, big data tools (Spark, Kafka), Linux environments, and at least one major cloud provider (AWS, GCP, Azure)

Job Responsibility

Architect, build, maintain, and improve a suite of GenAI applications and their underlying systems
Automate machine learning pipelines, monitor performance and costs, and optimize models by using techniques such as LoRA/QLoRA and other parameter-efficient methods
Establish reusable frameworks to streamline model building, deployment and monitoring
Incorporate comprehensive logging, tracing, and alerting mechanisms
Build guardrails, compliance rules, and oversight workflows into the GenAI application platform, including approval chains for model updates and staged rollouts for production releases
Develop templates, guides, and sandbox environments to support onboarding of new contributors and experimentation with emerging techniques
Ensure user-facing applications built on the GenAI application platform are safe and reliable, enforcing rigorous validation and testing before publishing, and implement a clear peer review process
Apply an entrepreneurial mindset to identify opportunities to optimize business processes, improve user experiences, and prototype solutions that demonstrate value
Work closely with data scientists and analysts to develop and deploy new product features across web and mobile applications
Contribute to and promote sound software engineering practices across the team

What we offer

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks

Fulltime

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Applied AI & GPU Software Engineer

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