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Imagine what you could build with Large Language Models and NLP.
The Algo ML team develops and integrates AI systems, including Large Language Models, Retrieval Augmented Generation systems, and intelligent agents, into our technologies and workflows.
We are looking for an outstanding student to help build state of the art NLP algorithms and AI applications for the Hardware Technologies group, from concept to launch. Youll partner closely with engineering stakeholders to shape the roadmap, deliver high quality solutions, and continuously improve them based on usage and feedback.
If you are excited about the intersection of LLMs, applied NLP, and intelligent systems, this role will both inspire and challenge you.


In this role, you will join a team of researchers and engineers developing AI systems and domain-specific Large Language Models for cutting-edge our products.
You will contribute across the research-to-product pipeline, from algorithmic exploration to prototype development and evaluation, and gain hands-on experience in building intelligent systems at scale.

Responsibilities:
Research and develop algorithms in the areas of NLP and Large Language Models.
Assist in building and evaluating AI systems such as RAG pipelines and intelligent agents.
Support the development of prototypes and demos for early feedback and iteration.
Collaborate with researchers and engineers across multiple teams and sites.
Develop tools and processes to analyze and evaluate model performance.
You will gain exposure to the full lifecycle of intelligent AI experiences, from early research ideas, through experimentation and validation, to product-ready systems used worldwide.

Do you love creating elegant solutions to highly complex challenges? Do you intrinsically see the importance of every detail?
Come join our growing wireless silicon development team!
As part of our Silicon Technologies group, youll help design our next-generation, power-efficient, system-on-chip (SoC). Our wireless SoC organization is responsible for all aspects of wireless silicon development. With a particular emphasis on highly energy-efficient design and new technologies that transform the user experience at the product level. Joining this group means youll be responsible for crafting and building the technology that fuels our devices. Together, you and your team will enable our customers to do all the things they love with their devices.

If you enjoy a fast-paced and challenging environment, and collaborating with people across different functional areas as well as thriving during crisis times, we encourage you to apply.

Responsibility of block and/or sub-system micro-architecture and design implementation.
Work with architects and system teams to define the right solution for the product requirements.
Implement block and/or sub-system design, analyze performance and power and support verification teams.
Responsibility of FE flows such as synthesis, CDC, RDC and Lint to ensure high quality production worthy design.

As a PNR/PD-CAD team member, you will have an impact on a wide range of activities and domains in the PD world. The team develops and supports utilities that enable an efficient work environment for the physical design teams across the world.

The role includes exploring new technologies and methodologies of first-of-its-kind designs, and the complex implementation of designs from small ones to the largest possible.
The job includes hands-on work and impact on all aspects of the design cycle, from infrastructure-related automation for design efficiency through developing internal PNR flows, which will enable improved designs - from PNR implementation through developing infra, signoff flows & verification utilities.

Responsibilities:
The job includes constant work with different teams and disciplines that interface with the PNR world, which includes Timing, power delivery, synthesis, Physical Verification, and more.
Along with the different disciplines, you will work with different teams, from vendors, PD team members and other CAD team members and discipline owners across the world to enable and improve the productivity of the PD flows.

You will join a dynamic quality assurance engineering team, responsible for functional and performance validation of Wi-Fi (and other wireless technologies) features on Apple products. In this role you will be responsible for design and development of automation for testing embedded firmware and entire systems. You will be required to lead investigations and analyze failures or performance behavior. It is required to master the skills of problem solving, creativity and programming along with achieving detailed understanding of embedded systems and our wireless protocols.

The Data Path HAL team is looking for an experienced Senior Embedded Software Engineer, to join us in building the next generation of networking products. Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, fast-paced environment.
In this role you will be leading tasks involving peers from multiple disciplines, while enjoying every step of the journey.
You will have the opportunity to work on the heart of the network engine, at the worlds largest cloud provider, in a dynamic, open, fast-paced environment.

Annapurna Labs, a key division within our company Web Services (AWS), seeks a Senior Software Development Engineer to design, develop, and optimize mission-critical embedded software for cloud infrastructure. You will join teams focused on networking, machine learning acceleration, and high-performance computing (HPC), impacting millions of AWS services globally.

We are seeking an experienced ASIC AI/ML Engineer with deep expertise in AI/ML infrastructure and application development specifically for semiconductor design verification disciplines. The ideal candidate will have a proven track record of delivering end-to-end AI solutions from concept to large-scale production deployment.
In this role, you will collaborate directly with architects, designers, verification engineers, software teams, and backend specialists to define best practices and deploy production-ready AI-driven workflows and applications. Your focus will be on implementing LLM, GenAI, and classical ML solutions that transform our ASIC design verification processes and accelerate our path to tape-out.
Key job responsibilities
Develop and maintain scalable AI/ML infrastructure for ASIC design and verification teams
Architect, develop, and deploy production-ready AI/ML applications for semiconductor design workflows
Design and implement GenAI solutions including LLMs and agentic AI systems for verification processes Invent innovative AI-driven solutions to eliminate identified inefficiencies in design and verification flows
Establish best practices and standards for AI/ML application development in semiconductor environments
Create monitoring and observability frameworks for AI model performance in production design environments
Collaborate cross-functionally with architects, designers, verification engineers, and software teams
Research and evaluate emerging AI technologies for applicability to semiconductor design challenges.