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We are seeking a software engineer to build high-performance software models of advanced SoC designs and to help bridge the gap between Software and Hardware, influencing performance improvements, power efficiency, security, and the programming ease of Apple products.
Responsibilities
In this role, you will:
Develop software systems and tools used to bring up the future OS on future SoCs.
Support kernel and driver development on future processor & SoC models.
Work closely with software and hardware teams across product and research groups.
Promote new opportunities and techniques with other groups.

We're seeking a passionate and skilled Embedded Firmware Engineer to play a pivotal role in delivering the next generation of us. In this highly visible position, you'll be at the intersection of hardware and software, collaborating closely with logic designers to deeply understand system-level operations and performance requirements for hardware validation. In this role, you will develop critical low-level embedded firmware specifically designed to validate hardware functionality, ensure conformance, and drive performance during the bring-up and testing phases of new silicon. This involves designing, developing, and integrating complex drivers, diagnostic tests, and infrastructure essential for SoC bring-up, post-silicon validation, and debugging activities. Ultimately, you'll lead hands-on firmware development, system-level validation, and problem-solving at the hardware-software interface in a dynamic, collaborative environment, with your work directly enabling the successful launch of future products by ensuring our silicon meets the highest standards.

We're seeking a passionate and skilled Embedded Firmware Engineer to play a pivotal role in delivering the next generation of us. In this highly visible position, you'll be at the intersection of hardware and software, collaborating closely with logic designers to deeply understand system-level operations and performance requirements for hardware validation.

In this role, you will develop critical low-level embedded firmware specifically designed to validate hardware functionality, ensure conformance, and drive performance during the bring-up and testing phases of new silicon. This involves designing, developing, and integrating complex drivers, diagnostic tests, and infrastructure essential for SoC bring-up, post-silicon validation, and debugging activities. Ultimately, you'll lead hands-on firmware development, system-level validation, and problem-solving at the hardware-software interface in a dynamic, collaborative environment, with your work directly enabling the successful launch of future our products by ensuring our silicon meets the highest standards.

As member of the DV CAD team, you have the opportunity to impact our engineers who develop next generation of our products!
You will be responsible for developing software solutions used by thousands of DV engineers globally. You will be supporting design process of all chip families we make (iPhone, iPad, Mac, our Watch and more), and your work will help streamline this complex process. This role combines DV knowledge alongside modern software engineering practices. Your work will be very diverse, and you will have broad impact contributing to the success of us.


You will develop and drive software development of multiple tools across the DV space, including cloud-native services, GUI, LLM harness, CI/CD. Your work will span from software development and architecture to collaborating with DV engineers, working with EDA vendors, and supporting critical project milestones.

Responsibilities
Developing and maintaining LLM harness for agentic DV workflows, and being responsible for benchmarking and improving accuracy of agentic workflows.
Building and managing cloud-native services running on k8s, including CI/CD, containerization, alerting, databases, GUI and monitoring.
Communication with DV stakeholders and working to understand user requirements.
Writing and maintaining Python scripts used as part of design simulation flows.
Supporting multiple projects simultaneously.

Our software team is growing, and we are looking for an SRE-DevOps Engineer to be entrusted with designing, building, and maintaining the infrastructure and automation frameworks that power our development ecosystem.

Your role will encompass end-to-end CI/CD pipeline ownership, cloud and on-premise infrastructure management, and ensuring the reliability, scalability, and security of our systems. You will be the backbone that enables our engineering teams to ship fast and confidently. We value agility, so staying updated and adaptable to our evolving tech stack is inherent to the role.

Responsibilities
Design, build, and maintain CI/CD pipelines to streamline development, testing, and deployment workflows.
Automate infrastructure provisioning, configuration management, and scaling operations.
Collaborate closely with development and data teams to understand and support their infrastructure needs.
Monitor system health, reliability, and performance, and drive incident response and resolution.
Enforce security best practices across infrastructure, access management, and deployments.
Manage and optimize containerized workloads and orchestration platforms.
Maintain and improve observability frameworks including logging, monitoring, and alerting.
Evaluate and integrate new tools and technologies to continuously improve the development infrastructure.

The AI VLSI department develops top notch NPU that enables the execution of state-of-the-art LLMs, Generative AI models, and neural networks with exceptional performance, impacting multiple hardware and software teams across the company facing amazing PPAA challenges of the edge market.
In this role, as VLSI Team Leader in the AI VLSI department, you will lead a team of engineers developing cutting edge VLSI products such as - DSP, HW accelerators and AI Processors for the edge market, with full responsibility on the Front-End Design.
You will drive the development of robust, scalable, and efficient VLSI design, working closely with global Architecture, hardware simulator and Software teams to shape our companys next generation of AI solutions.
We are looking for an exceptional hands-on leader with strong technical expertise, proven experience leading VLSI Front-End Design engineers, and a track record of delivering complex, state-of-the-art products on time and in production ready quality.
The ideal candidate is execution-driven, innovative, and passionate about building high-performing team and cutting-edge AI technology.
Responsibilities
Manage and lead a team of Front-End Design engineers.
Be accountable for the teams development lifecycle, including architecture, development, validation, and release, focusing on meeting PPAA targets.
Lead development of advanced VLSI IPs for AI processors, DSP and HW accelerators while continuing pushing the VLSI design methodologies, procedures, sign off and AI tools assimilation to its next level.
Support system bring-up, debugging, and customer-facing activities when needed.

In this role, you will learn and deeply understand the AI fundamentals and create tools that simulate our companys AI neural network processor implementation.
In addition, you will perform in-depth analysis and optimization to the simulator, to ensure simulator performance and accuracy for various companys processors architectures.
The project is using C/C++ OOP as main development language as well as python for AI neural network.
Development platforms are Linux and Windows based.
Responsibilities:
Taking part of innovative, agile, top-notch Software organization, designing Neural Network Processor (NPU) simulator in close collaboration with the architecture, algorithms, system and hardware teams.
Design and develop simulation software solutions allowing our company customers to run most advanced AI networks efficiently on our company NPU software simulation.

In this role, as Embedded Software Team Leader, you will lead a team owning a key part of our company's NPU AI software stack, a complex, multi-layered system spanning the Host (SDK, runtime, APIs, and UMD/KMD drivers) and the NPU IP (embedded firmware). This stack is at the heart of the company AI software offering, with deep impact on multiple hardware and software teams ability to execute state of the art LLM, Generative AI and Neural Networks with extraordinary performance. Reporting to the AI Software SDK Senior Team Leader, you will lead a team of creative and result oriented enthusiasts that invent, design, and implement software that enables smooth connectivity between the NPU and Host CPU.
Responsibilities:
Lead and manage the Embedded Software engineering team, ensuring high performance and productivity.
Own the design, development, and implementation of your component within our company's NPU AI software stack, aligned with the AI Software SDK group's technical strategy, architecture, and roadmap and its automated CI and release process.
Collaborate with cross-functional teams to integrate solutions. Provide technical guidance and mentorship to team members.
Ensure project timelines and deliverables are met.
Conduct performance reviews and support professional development of team members.
Collaborate globally with architects, HW teams, NPU teams, and other developer teams.

In this role, you will design, optimize and develop features in the simulator.
Simulators are used daily by our architecture, algorithms, system, VLSI and QA teams - and by our company customers running the most advanced AI networks on our processors.
The development language is C/C++ (OOP) on Linux and Windows platforms.
Responsibilities:
Design and develop simulation software for our companys NPU and DSP platforms within an agile, top-notch software organization.
Perform in-depth analysis and optimization of simulator performance and accuracy across multiple our company processor architectures.
Dive into a large existing codebase to debug and deliver clever solutions to complex software challenges.
Interact and engage with architecture, algorithms, system, VLSI and QA teams, including remote design centers.

You will be a key contributor to our companys AI Graph Compiler software stack for NPUs, designing system-level execution flows for advanced neural networks, including LLMs.
The role focuses on L1/L2 memory management, data movement, and performance optimization, working closely with compiler and hardware architects.
What will you do:
Design and own key components of our companys AI Graph Compiler.
Develop and optimize neural network execution flows and memory management.
Enable complex AI workloads, including LLMs, and implement new NPU features.
Analyze performance bottlenecks and drive system-level optimizations.
Collaborate with compiler and hardware teams on HW-SW solutions.

In this role, you will build deep expertise in AI fundamentals, LLM and generative AI network architectures, and their underlying algorithms. You will continuously research emerging generative AI architectures across the industry, staying ahead of how the field evolves.
A central focus will be quantization - understanding, developing, and refining quantization methods and algorithms, and driving their deployment on our hardware to achieve maximum performance without compromising accuracy.
Responsibilities:
Explore and plan end to end network deployment on our company's hardware.
Own network accuracy measurement and improvement.
Develop the graph compiler's hardware-aware quantization tool.