דרושים » הנדסה » System Software Development Engineer, System SW group

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.

We are looking for exceptional senior chip architects to join a world-class team that is reinventing how workloads run at scale.

As a Chip Architect, you will define architecture and micro-architecture across the complete product lifecycle - from initial requirements and early-stage technology exploration through design, implementation, and production deployment. You will explore and analyze architectural options for current and next-generation solutions, including new physical layer (PHY) and interconnect technologies, innovative protocols, and fundamental improvements to our hardware and software stack to make us the best place to run ML workloads and establish Annapurna Labs solutions as the industry-leading platform for Training and Inference workloads.

This role requires a top-down understanding of our complete solution stack, including system architecture, software stack, chip architecture, and microarchitecture. You will work in close collaboration with multiple groups - Software, Silicon engineering, System and Platform teams, and cross-functional teams across us. Your architectural decisions will influence the design of chips deployed on millions of servers worldwide, powering the future of AI, machine learning, and general-purpose compute. This is an opportunity to have large-scale impact on how the world builds and deploys infrastructure.

about the job
our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. our products need to handle information at massive scale, and extend well beyond web search. we're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data Storage, security, artificial intelligence, Natural Language Processing, UI design and mobile; the list goes on and is growing every day. as a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. we need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the Full-Stack as we continue to push technology forward.
in our company search, we're reimagining what it means to search for information - any way and anywhere. to do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. in joining the search team, you'll have an opportunity to make an impact on billions of people globally.
responsibilities
create new features and transition them into stable, production-ready systems for the windows our company app.
review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
partner closely with product managers, UX designers, and others to define technical requirements and drive the product roadmap forward.

As a key member of our best-in-class CAD Group, you will be part of building innovative designs. We will apply your hands-on experience in power EM/IR analysis to develop, define and refine the methodologies and flows for gate-level, as well as transistor level designs. Major tasks will include functional static / dynamic IR analysis, scan mode IVD analysis, package and interposer model handling, 3DIC and multi die analysis, power EM analysis, SigEM, power switch modeling, design abstract and reuse for EM/IR purposes, IP / SoC level EMIR sign-off / ECO, and much more. Are you ready to join some of the world's leading engineers, and help us deliver the next generation of ground-breaking our products?

In this highly visible role, your primary responsibilities will include:
- Development of custom EM/IR solutions that scale with accuracy and capacity challenges.
- Streamline and automate EM/IR flow with ownership of the entire flow.
- Support and collaborate with design groups (Physical-design and integration, Circuit-design / Power / Package & System / Technology) on their EM/IR requirements for various post-layout flows.
- Work side by side with EDA vendors and foundries for tool qualification, debug, and enhancement.

we are looking for a Software Development Manager.
As a Software Development Manager, you'll lead an elite team of development engineers to define, drive and execute on our product vision. You will invent and ship software that directly impacts our end customer experience. You'll develop your team of highly motivated and talented builders who can collaborate with applied scientists, product managers, technical specialists, and principals across the company.
Responsibilities:
- You'll lead the overall development life cycle of software solutions and manage complex projects with significant impact.
- Coordinate with your senior engineers to develop the best technical design and approach for product development.
- Assure that your team's designs meet requirements, and deliver high-quality work on tight schedules.
- Prioritize, plan projects and features, manage partners, and track external commitments.
- Monitor operation of production services to ensure Operational Excellence.
- Foster the career development of your direct reports.

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 QA Automation Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
We are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, we take the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless employees who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Requirements
Develop Testing & Automation SW tools from the ground up, interfacing to various systems and tests (Python-based).
Work closely with developers to create and maintain a state of the art system tests
Define, develop and execute testing plans with deep system knowledge and understanding.

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

Your role:

Design, implement, integrate, and test a (sub)system, component, or module in high quality, according to requirements and on time.
Comply and align with software development professionalism standards within the team (processes and methodologies, quality of requirements, design, coding, and testing).
Carry out complex development and prototyping tasks.
Understand market needs and translate them into implementation requirements while considering the overall solution.
Work on multiple projects, including new product life cycle development as well as maintenance of already released products.
Promote domain knowledge, innovative thinking, and customer understanding.
Promote trust and openness, and leverage external capabilities locally and globally.
A career at Philips comes with all sorts of wonderful benefits. Be sure to speak to your recruiter about benefits in your region.

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.