דרושים » הנדסה » CPU Performance Modeling Architect

Were looking for an experienced SW Team Manager to join our Simulators Team, where you'll lead the design and development of our hardware simulators - functional and performance models that serve as the source of truth, drive architectural exploration and compiler optimization.
Our simulators model diverse cores within a cutting-edge SoC designed to accelerate Big Data and Database Analytics.
You will collaborate closely with hardware and software teams, contributing to co-design efforts that influence architecture, tooling, and system-level behaviour.
Responsibilities:
Lead & grow a team of experienced engineers
Develop new hardware simulators and continue evolving existing one.
Collaborate with Architecture, VLSI, and Software teams to drive co-design initiatives.
Provide insights that influence chip architecture, compiler optimization, and system-level performance.
Develop tools that drive the chip development cycle.

We are looking for a junior 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. Working for Annapurna Labs is thrilling and a constant learning experience. As an embedded SW development engineer, you will be responsible for developing features for Annapurna Labs next-generation hardware, to enable high network bandwidth and packets-per-seconds (PPS) performance, with consistently low latency. You will work to bring up a broad selection of instance types, optimized for various use cases, to suit each of our customers needs, such as varying combinations of CPU, memory, storage, and networking capabilities. As a SW development engineer, you will play a key role in shaping architecture definitions and SW system designs, and help to resolve complex customer issues. You will continuously evolve technically, while working to monitor our cloud health, maintain high quality standards, develop highly-optimized code, and provide exceptional customer satisfaction.

Key job responsibilities
We will be conducting a unique onboarding training program, where you will be studying the following with our technical experts and team leaders:
* Embedded systems basics.
* Annapurna technologies in EC2.
* Cloud compute development.
* Networking 101.

Required Staff Architect, Digital Signal Processing, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As a Staff Engineer on the Digital Signal Processing team, you will be a technical leader responsible for architecting and developing the core algorithms that power our next-generation data center interconnects. You will leverage your expertise in communication theory, forward error correction (FEC), and modulation to design novel, low-complexity solutions that push the boundaries of speed and reliability.
This is an executive role where you will not only define the technical direction for critical projects but also mentor other engineers and collaborate across hardware and software teams to bring your goal to life in silicon.
Responsibilities
Lead the architecture, design, and implementation of digital signal processing (DSP) algorithms for high-speed optical communication systems. Drive the long-term technical roadmap for our signal processing and communication architectures by staying current with academic and industry trends.
Develop and analyze novel forward error correction (FEC) and modulation schemes to optimize for performance, power, and complexity tradeoffs.
Create comprehensive system-level models using tools like Matlab, Python, or C++ to simulate and validate algorithm performance.
Collaborate closely with logic design, verification, and software teams to ensure the successful implementation, integration, and bring-up of algorithms in custom silicon.
Provide technical leadership and mentorship to a team of DSP and communication systems engineers, fostering innovation and engineering excellence.

Required Senior SOC Performance Engineer, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next-generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. our mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of our AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
Responsibilities
Validate performance and power models from the architecture team and lab measurements against established goals, exercise open source benchmarks, analyze the results, and identify optimization opportunities.
Design and build tests to verify SoC design meets targets, and implement advanced technologies for running "benchmark representations" on pre-silicon environments.
Analyze problems to identify core design weaknesses, and drive resolution of performance issues in both pre- and post-silicon environments.
Collaborate closely with design, validation, and architecture teams to ensure hardware and software designs interface correctly and deliver products.
Develop performance measurement frameworks, including Key Performance Indicators (KPIs), to produce regular reports and dashboards that support stakeholder decision-making, and drive efforts to productize features that improve performance and power characteristics.

Required Senior Post-Silicon Validation Engineer, Networking
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
We are building a new team to lead the post-silicon validation efforts for our cutting-edge product. We're looking for highly motivated and talented engineers to join us in ensuring the quality and functionality of our next-generation networking silicon. This is a unique opportunity to be part of a foundational team and make a significant impact.
As a Silicon Validation Engineer, you'll play a pivotal role in the validation of our custom silicon solutions that power our cloud infrastructure bringing it to the highest quality level. Your expertise in post-silicon validation will be essential in identifying and resolving issues before they impact our customers, ensuring a seamless and high-performance cloud experience.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Conduct in-depth analysis into the architecture and microarchitecture of complex hardware units and features, such as packet processing pipelines and advanced networking capabilities.
Develop comprehensive post-silicon validation test plans based on a thorough understanding of the design and specifications.
Write, execute, and debug validation tests using Python or C/C++, running on Pre-Silicon (Pre-Si) emulation platforms and primarily on the silicon.
Lead the bring-up, troubleshooting, and debug efforts on silicon, identifying root causes of hardware and software issues.
Contribute to the development of test infrastructure and methodologies to improve validation efficiency and coverage.

we are looking for a Senior Core Power Management Architect.
Job Description:
Will drive the implementation of autonomous core power management for best performance and power efficacy.
The Power expert will take charge in understanding business-units (customers) needs, and translate them to CPU core solution.
This expert will utilize his power management experience to deliver world-class power efficient HW-SW solutions for Huawei products.

As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of machine learning inference systems. Youll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. Youll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering next-generation AI products.This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.

Responsibilities
Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
Contribute to ComfyUI and internal infrastructure to improve the usability and performance of model execution flows
Investigate performance bottlenecks at all levels of the stack-from Python to kernel-level execution
Navigate and enhance a large, complex, production-grade codebase
Drive innovation in low-level system design to support future ML workloads

In these roles, engineers will be responsible for the design, development, and bring-up of innovative silicon and system solutions across multiple specialized teams. Responsibilities include participating in SW design sessions, providing HLD and LLD documentation, and coding complex modules that serve as the foundation for our device ecosystem. You will lead HW-SW integrations, debug complicated system-wide bugs with limited visibility, and optimize designs for performance, power, and memory footprints while meeting hard-real-time latency requirements.

Required Hardware Emulation Technical Lead, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.Our mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of our AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
Responsibilities
Define the emulation strategy, identify platforms and technologies to support all customers.
Explore emulation methodologies, gather feedback from customers, and implement emulation workflows at scale.
Support emulation customers with debugging hardware, software, tooling, and project-specific issues.
Create tooling and automation to support emulation tools, licensing, and job management in our infrastructure.
Act as a primary interface to emulation vendors.

Required RTL Design Engineer, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you will use Application-Specific Integrated Circuit (ASIC) design experience to be part of a team that develops complex ASIC System-on-Chip (SoC) intellectual property from proof-of-concept to production. This includes creating IP Level microarchitecture definitions, Register-Transfer Level (RTL) coding and all RTL quality checks. You will also have the opportunity to contribute to design flow and methodologies, including design generation automation. You will collaborate with members of architecture, software, verification, power, timing, synthesis design for testing etc. You will develop/define design options for performance, power and area.
Responsibilities
Define the IP microarchitecture level design document such as interface protocol, block diagram, transaction flow, pipeline etc.
Perform RTL development (coding and debug in Verilog, SystemVerilog).
Conduct function/performance simulation debug and Lint/CDC/FV/UPF checks.
Engage in synthesis, timing/power closure, and ASIC silicon bring-up.
Contribute to verification test plan and coverage analysis of block and SoC-level.