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Join our innovative SoC hardware development team as a UPF Methodology Engineer. In this role, you'll play a key part in defining the flow for next-generation UPF, enhancing our existing UPF framework, and ensuring its successful implementation and verification across our mobile products.

Your primary focus will be to advance our UPF methodology, improving power intent definition,
implementation, and verification for cutting-edge mobile products.
Key tasks include:
Driving coverage of power intent through static and dynamic checking methodologies.
Implementing custom UPF to meet specific project needs.
Leading UPF implementation and sign-off processes for FE and P&R.
Performing checks on power intent for custom circuits.
Collaborating closely with designers and the design verification team to debug and resolve any UPF flow issues.

Responsibilities:
We're seeking a candidate with strong expertise in ASIC design methodology, particularly focused on power definition. Ideal qualifications include:
Proficiency in UPF implementation and verification.
Strong skills in scripting languages such as Python and Tcl.
Familiarity with CMOS design power.
Familiarity with multi-voltage static checkers (e.g., VSILP/VCLP, CLP).
Knowledge of the full RTL-to-GDS flow
Excellent communication skills, as you'll interface with diverse teams.

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.

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.

We are seeking a Component Engineering & Technical Purchasing Expert to lead the technical selection, qualification, and procurement of electronic and mechanical components for our hardware platforms. This role combines component engineering expertise with ability to read and understand electrical schematics and mechanical drawings, ensuring component availability, cost optimization, quality, and long-term supply continuity throughout the product lifecycle.
Key job responsibilities
Component Engineering & Qualification
Own the technical selection, qualification, and approval of electronic components, including active, passive, electromechanical and mechanical parts
Define component specifications.
Lead component risk assessments, obsolescence management, and last-time-buy planning
Support new product (NPI) activities, while working closely with hardware system to ensure compliance with project requirements and timelines.
Technical Purchasing & Supplier Management
Lead technical purchasing activities for electronic and mechanical components, aligning engineering requirements with supply chain and cost targets.
Build and manage relationships with component manufacturers, authorized distributors, and strategic suppliers
Act as the primary point of contact for technical and commercial discussions with key suppliers
Drive supplier performance management, including delivery, quality, responsiveness, and technical support
Data, Systems & Cross-Functional Collaboration
Develop KPIs and dashboards to track component cost, availability, quality, and lifecycle status
Create and maintain documentation for components database, piecing and substitutes qualification.
Collaborate cross-functionally with various teams to support business objectives.

We are seeking an IC Production Manager to lead semiconductor hardware operations and manage Outsourced Semiconductor Assembly and Test (OSAT) partners, as well as multiple hardware and tooling suppliers.
This role is responsible for driving efficient hardware and tooling management, optimizing OSAT partnerships, and ensuring scalable, cost-effective supply across the semiconductor value chain.
Key job responsibilities
Hardware & Inventory Management
Develop, implement, and maintain robust inventory management systems for semiconductor hardware, including test boards, probe cards, and related equipment located at various locations around the manufacturing partners
Design and deploy digital tools to track hardware movement, utilization, availability, and maintenance schedules
Establish real-time visibility into hardware location, status, and lifecycle stage
Create and maintain hardware lifecycle management processes from deployment through end-of-life
Lead inventory audits and reconciliation activities with OSAT partners
OSAT & Supplier Management
Act as the primary point of contact for day-to-day communication with OSATs and strategic suppliers
Coordinate hardware allocation, maintenance, repair, and replacement activities with OSAT partners
Oversee and monitor supplier deliveries, capacity commitments, and operational performance
Conduct supplier audits, performance reviews and scoring
Build, manage, and maintain strong working relationships with OSAT partners
Commercial & Contractual Leadership
Lead commercial negotiations with strategic suppliers to improve pricing, terms, and overall cost structure
Own contract management and negotiation, including:
o Master Development and Supply Agreements (MDSA)
o Statements of Work (SOW)
o Product schedules and related commercial documents
Strategic Sourcing & Capacity Planning
Develop and execute strategic sourcing allocation including supplier selection, operating models, and pricing frameworks
Drive supply chain capacity planning, including tooling strategy, production equipment planning, and supplier allocation/split
Analyze hardware utilization and supply chain data to optimize inventory levels and reduce operational costs
Cross-Functional Collaboration & Compliance
Develop KPIs and reporting dashboards to track hardware performance, supplier efficiency, and operational health
Create and maintain documentation for hardware handling procedures, quality standards, and compliance requirements
Collaborate closely with engineering teams to ensure proper handling, storage, and usage of sensitive semiconductor equipment.

Annapurna Labs, a key division within our company, seeks a Software Embedded 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.

Annapurna Labs, a key division within our company, seeks a Software Embedded 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.

Annapurna Labs, a key division within our company, seeks a Software Embedded 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.

Annapurna Labs, a key division within our company, seeks a Software Embedded 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.

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.