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Required Senior Electrical Post Silicon Validation- Silicon One
Job Description
Meet the Team
We are a dynamic group of engineers dedicated to pushing the boundaries of technology. Our mission is to validate and drive the performance of Silicon One products, ensuring they meet the highest standards of quality and reliability.
Operating at the forefront of technology, we work with latest, high-speed, and power-hungry devices. Our small, but highly influential team thrives in this challenging environment, applying our expertise to impact the future of networking technology. With a commitment to excellence and a passion transformative technology, we are shaping the future of high-performance Networking and delivering unparalleled value in every project we undertake. Join us, and be a part of a team where professionalism meets impact!
Your Impact
Drive the resolution of complex silicon performance and characterization issues through deep, multi-functional collaboration with architecture, design, and software teams. Leverage these technical insights to provide critical feedback that directly influences the design, debuggability, and architectural specifications of future silicon components
Key Responsibilities:
Lead the Electrical Post Silicon Validation efforts for Silicon One products, focusing on high-speed and power-intensive devices. Collaborate with multi-functional teams to drive the silicon validation process, from architecture through to physical design and DFT. Analyze and interpret characterization data to guide design improvements and ensure product excellence. Develop and execute test plans to validate silicon performance and reliability against stringent specifications. Troubleshoot and resolve issues related to silicon performance and characterization.
Why Join Us:
Be part of team at the forefront of silicon technology, working on the most advanced products in the market. Work closely with some of the best engineers in the industry, driving innovation and excellence in silicon characterization. We are a fast growing team that values talent and provides ample opportunities for professional development and career advancement.

A hands-on engineering role focused on building production-grade AI/ML systems and the automation infrastructure that supports them - driving AI adoption into developer workflows, internal tooling, and domain-specific applications across the organization.

As a member of the AI Infrastructure & Applications team, you will lead the design, development, and production deployment of AI/ML-powered systems alongside the automation infrastructure and developer platforms that support them.
You will architect intelligent, scalable solutions used across the organization - driving AI adoption into developer and automation workflows, internal tooling, and domain-specific applications - while also building and maintaining the automation frameworks and infrastructure those systems depend on.
The systems you build are expected to be production-grade, reliable, observable, and continuously improving.

Responsibilities
Architect and ship end-to-end AI-powered applications and pipelines, from prototype to production.
Build agentic systems, RAG pipelines, and tool-use patterns that integrate LLMs into real workflows.
Define and own AI quality metrics (accuracy, groundedness, hallucination rate, task completion) and integrate them into CI/CD release gates.
Design evaluation frameworks for non-deterministic systems: offline evals, human-in-the-loop review, and automated regression suites.
Harness AI/LLMs to extend and enhance existing automation infrastructure, improving system performance and operational efficiency.
Build scalable automation frameworks, APIs, and tooling used across the organization.
Collaborate with engineering, CI, and domain teams to address automation needs across hardware, software, and cloud.
Distill requirements from a large, diverse user base into generic, reusable, maintainable solutions.
Implement monitoring, drift detection, and structured feedback pipelines for continuous improvement.
Apply rigorous engineering discipline - test design, release criteria, rollback strategies - to AI-native deployments.
Partner with product, design, and domain experts to define use cases, acceptance criteria, and rollout plans.

Develop and maintain internal EDA tools and frameworks for RTL assembly and connectivity checking.
Implement efficient algorithms for hierarchical RTL construction, module binding, and interface consistency across complex SoCs.
Build intelligent connectivity, visualization, and debug utilities.
Collaborate with front-end design, DFT, and integration teams to align methodologies and define tool requirements.
Drive automation and performance improvements, including runtime optimization and scalability across large designs.
Support adoption, documentation, and user training for internal design teams.

we are looking for a AI Backend Engineer.
As the AI Backend engineer , you will join a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll utilize technical skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.
This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.
What youll do:
Design, develop, and maintain backend services for AI agents and tool integrations using latest technologies
Build scalable APIs and microservices that interface with LLMs and AI frameworks
Implement agent orchestration systems, tool calling mechanisms, and workflow engines
Optimize performance and reliability of AI-powered applications at scale
Develop data pipelines for training, evaluation, and monitoring of AI systems
Integrate with various LLM providers (OpenAI, Anthropic, etc.) and manage API interactions

We are seeking a Machine Learning expert to join our wireless FW software group and explore innovative applications of ML algorithms in embedded wireless systems and protocols. This role focuses on cutting-edge research to integrate machine learning into wireless firmware architectures as well as protocol design, validation, and performance optimization. The position emphasizes experimental research, algorithm development, and proof-of-concept implementations in the wireless FW domain. This role offers the opportunity to develop novel solutions that bridge the gap between theoretical machine learning capabilities and practical wireless system implementations.
Responsibilities:
Research & Development: Design, develop, and evaluate machine learning algorithms optimized for real-time wireless communication systems operating under strict real-time, power and computational constraints.
Protocol Innovation: Create novel wireless protocols that intelligently incorporate ML techniques for enhanced performance, efficiency, and adaptability.
Algorithm Optimization: Adapt existing wireless algorithms (e.g. Link Quality, QoS, Scheduling etc) by integrating ML approaches while maintaining real-time performance requirements.
Data Collection & Analysis: Gather, analyze, and curate statistics from existing wireless devices and networks to enable ML model training and validation. Design and implement data collection frameworks for various wireless environments and use cases.
System Integration: Develop lightweight ML models suitable for deployment on resource-constrained wireless devices, including edge computing scenarios.
Performance Analysis: Conduct comprehensive performance evaluations through simulation, theoretical analysis, and experimental validation.
Research Publication: Publish findings in top-tier conferences and journals, and present research at industry conferences.
Collaboration: Work closely with hardware engineers, system architects, and product teams to ensure research translates into practical solutions.
Technology Scouting: Stay current with emerging trends in ML, wireless communications, and edge computing technologies.

Lead the team building the agentic infrastructure powering Klaudia - our AI SRE. You'll own the architecture, set the technical direction, and push experimental ideas into production.

This isn't a coordination role. You'll be a technical leader who builds alongside your team - setting the bar for architecture quality, driving experimental bets, and turning research into production-grade systems.



What will you do?

Own the agentic infrastructure- You're responsible for the architecture of Klaudia's core - the systems that make autonomous investigation, root cause analysis, and self-healing possible at scale.

Build and grow your team- Hire great engineers, mentor them, run meaningful design reviews, and build a culture of high ownership and engineering excellence.

Drive experimental development- Run structured bets - LLM evaluation frameworks, new agent architectures, novel tool-use patterns - and bring the best ones to production.

Stay hands-on You'll design systems, review PRs critically, and write code where it matters. Your technical credibility is the foundation of your leadership.

Shape our AI strategy- Work closely with product and R&D leadership to define what Klaudia becomes next.



Why this role rocks?

Category-defining work- AI SRE is the hottest space in cloud infra. You'll be leading the team that defines what it means - not catching up to anyone.

Real autonomy- You'll set the technical roadmap for Core. No pre-solved problems handed down to you - you decide what gets built and how.

Build something that lasts- Hire and shape a team from an early stage. Your engineering culture decisions here will compound for years.

Serious engineering culture- High bar for craft, strong team around you, and leadership that respects technical depth over process theater.

we are looking for a Data science Team Lead.
As the Data Science Team Lead, you will lead a talented team of data scientists and ML engineers building the infrastructure, systems, and workflows for designing, training, evaluating, and deploying machine learning models that protect millions of users worldwide from fraud and account compromise.
This role combines hands-on technical leadership with people management and strategic ownership. You will drive innovation across real-time model serving, customer-specific model tuning, offline AI evaluations, and scalable ML systems in a production-grade SaaS environment.
If you are passionate about applied machine learning, fraud detection, and building intelligent systems at scale - we want you on our team.
What youl do:
Lead and mentor a team of Data Scientists and ML Engineers focused on fraud detection and response capabilities.
Build ML infrastructure focused on design, train, evaluate, and optimize machine learning models for real-time fraud prevention and risk assessment.
Own the lifecycle of ML models in production, including experimentation, deployment, monitoring, retraining, and performance optimization.
Drive customer-specific model training and tuning strategies to improve accuracy and adaptability across different customer environments.
Build and improve offline AI evaluation frameworks to measure model quality, drift, effectiveness, and business impact.
Collaborate closely with Engineering, Product, Security, and Data teams to deliver scalable and reliable AI-powered capabilities.
Define best practices for model serving, feature engineering, experimentation, observability, and operational excellence.
Balance model performance, latency, scalability, explainability, and operational constraints in high-scale production environments.
Promote a culture of technical excellence, continuous improvement, ownership, and innovation.

As platform team leader, you will own and advance core platform and infrastructure, ensuring it is scalable, reliable, secure, and built to support rapid product innovation. In this role, you will lead a team of engineers and DevOps responsible for the foundational systems that power the product, guiding the design and delivery of robust architectures and shared components.

You will drive technical excellence by setting engineering standards, improving system resiliency and performance, and proactively addressing scalability and operational challenges. Working closely with product and other software teams, you will ensure the platform enables fast, high-quality development while meeting the needs of customers at scale.

What will you do:

Lead a team of strong developers and DevOps to excellence while building scalable and high-quality software and infrastructure
Oversee development and execution of new features and products
Mentor and support the personal growth of team members
Hands-on development of about 50%
Join R&D Management Team and influence the entire RnD lifecycle (Hiring, Agile methodologies, Product and Technological efforts)
Influence the whole R&D as a member of the R&D Management Team
Lead by example with production cycle and customer-related issues
Drive the R&D organization to scale

We are looking for an extraordinary FW engineer to drive state of the art technologies for our products.
In this role, you will work with a variety of disciplines and products, developing software and firmware at the WiFi MAC Level.

You'll ensure that every aspect of our products works both on its own and together.
Its our goal to make our products smarter and more efficient than ever before.
Join us, and youll directly impact the functionality of devices people use worldwide.


As a senior WiFi MAC Software Engineer, your contributions will include the following:
Writing design documents. Designing and implementing software and firmware for WiFi and 802.11 MAC Level features at the MAC. Optimise and fine-tune the firmware and MAC Level algorithms.
Involvement in firmware architecture design, and system level requirements from top-level down to block level.
Develop and support OSX development tools and kernel drivers.
This role requires high sense of responsibility and ability to work in team.
The people who work here have reinvented and defined entire industries with our products and services.
The same passion for innovation also applies to our practices - strengthening our commitment to leave the world better than we found it.
You should join us if you want to help deliver the next amazing Apple product!

Build the future of AI in the world of Cloud Infrastructure. You'll design innovative solutions powered by AI and help shape where we're headed as a company.

Why This Role Rocks:

Develop cutting-edge AI solutions - We're harnessing LLMs to solve real cloud infra problems, not just for buzzword points
We build the future - AI SRE became the hottest market in the cloud infra space - its our job to lead it.
Your ideas become reality - Propose solutions, lead initiatives, and see your impact
Shape our tech direction - You'll have a real voice in our technical strategy.
FULL Ownership: We believe in taking developments end to end. From ideation all the way to production.

In this role you will be responsible to design, develop and implement sophisticated FW modules for Embedded systems.

Your responsibilities are likely to include:
Take part in sophisticated FW design sessions (detailed designs involving System understanding)
Lead coding of sophisticated FW modules
Debug complicated (system-wide) bugs.
Lead HW-SW integrations.
Apple is an equal opportunity employer that is committed to inclusion and diversity.
We also take affirmative action to offer employment and advancement opportunities to all applicants.
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

As a Senior Backend Developer , youll be responsible for designing, developing, and maintaining our product across all teams. Whether its optimizing cost insights, building advanced troubleshooting capabilities, or developing Kubernetes-native agents and operators, youll work end-to-end on critical features - from design to production - in a fast-paced, CI/CD environment.



What youll do

Design, develop, and maintain core components of the product
Work across the stack to deliver new features from start-to-end
Deploy new features to production and ensure they run smoothly at scale
Improve performance and overcome scalability limits in high-volume environments
Collaborate with your team to plan and prioritize the most impactful projects
Write clean, maintainable, and scalable code in Golang (and occasionally other languages)
Ensure high code quality through automated testing and code reviews
Stay ahead of emerging software engineering trends and bring fresh ideas to the table

we are looking for a Engineering Team Lead.
In this role, you will take an integral part in the creation of a new and innovative SaaS product.
If you are a talented software engineer that likes to solve complex problems and looking for your next challenge we want you to join our team!
What youll do: As the Team Leader , you will lead a talented team to design, implement, and deploy scalable data solutions for an innovative SaaS product. Youll be responsible for shaping the direction of a system that impacts millions of users worldwide. If you're an experienced manager with a strong technical background, ready to lead in a dynamic, fast-paced production environment, we want you on our team!
Responsibilities:
Collaborate effectively with cross-functional teams (Data Science, Security, etc.) to ensure alignment on business needs and security standards.
Manage the technical backlog, make critical decisions on product milestones, and ensure timely, secure, high-quality delivery and deployment.
Foster the growth of team members through mentorship, personal development opportunities, and the promotion of continuous improvement.
Identify, manage, and mitigate security risks across the data platform, maintaining high standards in all initiatives.
Define and implement methodologies to guarantee the performance, scalability, and quality of our data infrastructure.

The Product Architect sits at the intersection of deep technical credibility, hands-on product ownership, and customer intimacy. You will take product ideas from zero to prototype, shape Klaudias roadmap with real engineering and customer signals, and build the bridges between our AI SRE platform and the engineers who depend on it.

If you have shipped products for technical users, understand Kubernetes from the inside out, and want to leave a mark on how autonomous infrastructure works - read on.

The Product Architect is a senior individual contributor who owns product work end-to-end - from the earliest discovery conversation through prototype, technical validation, and customer rollout. You are not waiting for specs to land on your desk. You generate and drive it forward.

What You Will Do

Product Initiation - Drive new initiatives from day zero into clear requirements: discovery, competitive analysis, problem definition, and MVP scoping.
Product Prototype Development - Build proof-of-concepts that validate product direction and give R&D a working baseline to build from, reducing time to implementation.
Feature Ownership - Own your features end-to-end through R&D execution tracking until the feature ships.
Customer Engagement - Work directly with both prospects and existing customers. Support POCs, run product discovery sessions, and translate what you learn into product recommendations.
Quality Loop - Close the loop on shipped features. Work with customers and internal stakeholders to assess real-world performance and drive improvements.

As a Wireless Firmware Architect you will focus on defining technical direction, conducting research and analysis, and providing architectural guidance for our Bluetooth embedded solutions.

The position emphasizes wireless protocol design and simulations, software architecture definition, technical planning, proof-of-concept development and performance optimizations.

Responsibilities:
Define comprehensive software architecture for our Bluetooth embedded solutions.
Establish firmware architectural guidelines and principles.
Support development teams with architectural guidance and consultation.
Integrate performance and power analysis requirements into architectural frameworks.
Create technical demonstrations to support architectural decision-making.
Monitor and analyze hardware implementations to ensure alignment with software architectural requirements.
Evaluate hardware design decisions and their impact on firmware architecture.
Collaborate with hardware teams to provide architectural input and recommendations.
Design and develop proof of concept (PoC) projects to validate architectural approaches.
Research and prototype emerging wireless technologies and methodologies.
Evaluate feasibility of new technologies and integration approaches.
Design and develop wireless protocol simulation frameworks, develop intelligent simulation environments for protocol validation and optimization.
Analyze new standards and specifications for architectural implications.
Track industry trends and emerging wireless technologies.