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Join our Space team and take part in the development, integration, and testing of advanced satellite systems. You'll work across multidisciplinary domains, including Embedded electronics, RF communications, electro-optical payloads, and software, collaborating with engineering teams, suppliers, and customers to ensure mission success.
Responsibilities:

* Lead the integration and testing of hardware and software systems.
* Develop and execute TEST procedures and analyze results.
* Perform functional, environmental, and performance testing.
* Troubleshoot system -level hardware and software issues.
* Support system architecture, verification, and interface definition.
* Collaborate with cross-functional teams, suppliers, and customers.
Advantages:

* Experience in the space or aerospace industry.
* Familiarity with satellite testing and RF TEST equipment.
* Knowledge of electro-optical systems.

Develop and execute TEST plans for battery cells, modules, and packs (performance, lifecycle, safety, environmental). Support prototype builds and validation. Operate TEST equipment (cyclers, thermal chambers, power supplies, load banks, DAQ). Analyze data for capacity, efficiency, degradation, thermal behavior, and failures. Define procedures, acceptance criteria, and reports per requirements and standards. Perform abuse and safety testing. Investigate anomalies and root cause issues. Collaborate with engineering teams to correlate results with design. Maintain documentation, lab records, and calibration status.

Our Professional Services is seeking an Experienced system Engineer We are seeking an Experienced system Engineer to join our team and drive the development of diverse, cutting-edge UAV systems.
If you are looking for a meaningful technological journey filled with multidisciplinary challenges, come and be a part of our story. Key Responsibilities:
* End-to-end development of software- and hardware-intensive UAV systems, from solution definition through technical requirements authoring, integration, testing, and customer delivery.
* Leading complex integration processes, including the integration of products, payloads, and airborne subsystems.
* Defining system -level requirements for various components and authoring detailed specifications and technical documentation.
* Leading cross-functional development and integration efforts across diverse engineering teams, including Airborne Software, C2 (Command & Control) Software, Simulators, QA /Testing, Electronics, and more.

We are looking for an experienced Board Design Engineer to support the design and development of complex mixed-signal and high-speed digital boards for advanced medical systems. You will join our multidisciplinary team in CT organization.
Your role :
Design and develop multi-layer high-speed PCBs and define layout constraints
Perform component selection and schematic design
Design power management circuits (including DC-DC converters and power distribution)
Design and support analog circuits and boards
Support EMC/EMI tests
Lead board bring-up, validation, and lab debugging. Troubleshoot system-level HW/FW issues
Support high-speed interfaces such as DDR4/DDR5, PCIe, and Ethernet
Support Install Base (IB) activities , field investigations, and NPI activities
Support Lifecycle Management (LCM) tasks, including EOL handling
Work with PCBA vendors on production, manufacturing issues, and yield improvements
Search for component alternatives, test and approve replacements
Work with PLM (Product lifecycle Management) system and support ECO creation and release

As an Algorithm and Applied AI Scientist (DSP), you will serve as the technical lead for an innovative project focused on advanced signal processing and data analytics applications. You will work with unique datasets from various signal-generating sources, researching and developing novel models, and analysing, maturing, and extracting features that have a significant impact on industrial manufacturers globally. In this role, you will be instrumental in defining project objectives, identifying customer value, and pushing the team toward successful outcomes. Joining our AI team offers ongoing professional growth in leadership, algorithm development, research, innovations, and technical data analysis.

A Day In Your Life:
Be the technical lead of an innovative project.
Develop a comprehensive understanding of industrial data by exploring its physical properties and the relationships among different data streams.
Oversee the full algorithm development cycle, spanning from initial problem definition to the deployment of production-ready feature-based AI models, SDLC starting from feature discovery that is being tracked by sensor behavior patterns.
Architect and build diverse predictive and anomaly classification models using sensor time-series and textual information.
You will gain a deep proficiency in the industrial world and the connection between datasets to generate actionable insights.
Utilize classic and cutting-edge technologies, such as Generative AI, transformers, TSFM, TGNN, deep learning, and traditional statistical methods, time-series, and textual data to generate actionable insights.
Partner with the product team and external customers to create data-driven solutions that address real-world business needs.

As an Algorithm and Applied AI Scientist (DSP), you will serve as the technical lead for an innovative project focused on advanced signal processing and data analytics applications. You will work with unique datasets from various signal-generating sources, researching and developing novel models, and analysing, maturing, and extracting features that have a significant impact on industrial manufacturers globally. In this role, you will be instrumental in defining project objectives, identifying customer value, and pushing the team toward successful outcomes. Joining our AI team offers ongoing professional growth in leadership, algorithm development, research, innovations, and technical data analysis.

A Day In Your Life
Be the technical lead of an innovative project.
Develop a comprehensive understanding of industrial data by exploring its physical properties and the relationships among different data streams.
Oversee the full algorithm development cycle, spanning from initial problem definition to the deployment of production-ready feature-based AI models, SDLC starting from feature discovery that is being tracked by sensor behavior patterns.
Architect and build diverse predictive and anomaly classification models using sensor time-series and textual information.
You will gain a deep proficiency in the industrial world and the connection between datasets to generate actionable insights.
Utilize classic and cutting-edge technologies, such as Generative AI, transformers, TSFM, TGNN, deep learning, and traditional statistical methods, time-series, and textual data to generate actionable insights.
Partner with the product team and external customers to create data-driven solutions that address real-world business needs.

As our AI Applied Scientist, youll be at the intersection of advanced technology and meaningful impact with clear business cases. You will have access to real-time (RT) big data from multiple Sensors & Data sources, and a chance to discover, explore research, and develop cutting-edge models that directly impact industrial manufacturers around the globe. As part of the Applied AI/ML Science team, you will have the opportunity to continuously grow and learn while building and deploying advanced models directly into our products, and stay at the forefront of the world's technologies, witnessing firsthand their impact on our customers.

A Day In Your Life:
Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models.
Combine classic methods with inference techniques: statistics, Time series, Deep learning, anomaly detection, Recommendation Systems, Transformers, and Inference to extract data-driven insights.
Research, design, and build Agentic applications on top of sensor time-series data, textual data, images, ML applications, and other various data sources.
Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data.
Leverage modern technologies: work with cloud-based big data platforms for storage, distributed processing, LLMs and agents (GPT, Claude, Gemini), defining & building Gurdrails, reasoning chain as function call, planning, ML-based vectorization and embeddings, and stream analysis.

We are looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture.

Key job responsibilities
The Linux Kernel development team is looking for a talented Linux kernel expert with experience in embedded systems, to join us in building the high-end AWS NITRO system. Youll have the opportunity to work on the top technologies powering the worlds largest cloud provider, in a dynamic, open, fast-paced environment. As part of your role you will develop kernel drivers and share your code with the Linux community. This is a rare opportunity to develop code that runs at such a high scale, with strict reliability and security demands.

We're looking for a talented Chip Design Engineer to join our Nitro team in Tel Aviv and help shape what comes next.

As a Chip Design Engineer on the Nitro team, you will take full end-to-end ownership of one or more critical IP blocks within the product, guiding them from micro-architecture definition through RTL design, debug, synthesis, timing closure, and final sign-off before tape-out. Your work will ship in silicon that powers us at global scale.
You'll partner closely with the Verification and Emulation teams to shape test plans, review coverage, and close gaps early in the design cycle. Beyond your own IP, you'll collaborate across disciplines with Product Definition, Software, Physical Design, and Verification teams to deliver a fully integrated, production-ready chip.

We are looking for a Senior Network SW Engineer to join the SW group and take a major part in redefining the future of our cloud.
Were searching for engineers with a passion for networking to develop SRD (Scalable Reliable Datagram). SRD is a high-performance, low-latency transport protocol used within Amazon Web Services (AWS) infrastructure to optimize network performance. SRD powers several high-impact, cutting-edge products, including on-demand ML and HPC platforms leveraging EFA, next-generation storage services built on EBS, and the future of AWS network traffic.

As a Senior Network Software Engineer on SRD team, your primary role will be to develop and optimize the implementation of SRD technology across AWS's network infrastructure. Your responsibilities will encompass designing, deploying, and maintaining SRD code-base, ensuring its reliability and scalability to accommodate the demands of various applications. An essential part of your role will involve conducting extensive network simulations to evaluate system performance under different conditions, enabling you to identify potential bottlenecks and inefficiencies. Using these simulations, you will troubleshoot network issues and implement robust solutions, leading to minimal data loss and latency. Leveraging your in-depth understanding of network protocols and AWS infrastructure, you'll refine and improve the SRD system's performance. Furthermore, you will be expected to mentor junior team members, leading projects to advance the SRD capabilities within the AWS environment. Staying updated with the latest industry trends and incorporating them into strategic network service planning.

We're looking for an exceptional senior Chip Design Engineer to join our Nitro team and help shape what comes next. You'll work alongside a world-class, fast-moving engineering team, take full ownership of critical IP blocks, and see your work deployed at a scale no other platform can match- powering hundreds of thousands of businesses across 190 countries.

If you want to build silicon that leads the cloud world, this is where it happens.

As a Senior Chip Design Engineer on the Nitro team, you will take full end-to-end ownership of one or more critical IP blocks within the product, guiding them from micro-architecture definition through RTL design, debug, synthesis, timing closure, and final sign-off before tape-out. Your work will ship in silicon that powers AWS at global scale.
You'll partner closely with the Verification and Emulation teams to shape test plans, review coverage, and close gaps early in the design cycle. Beyond your own IP, you'll collaborate across disciplines with Product Definition, Software, Physical Design, and Verification teams to deliver a fully integrated, production-ready chip.

Key job responsibilities
* Full ownership of one or more IPs within the product:
Micro-architecture definition.
RTL coding and debug.
Synthesis and timing closure.
Sign-off before tape-out.
* Supporting the Verification and Emulation teams: Test plan development, coverage review.
* Ensuring the chip meets quality and reliability standards.
* Collaborating with cross-functional teams, including Product Definition, Verification, Software, and Physical Design.

As a Principal Quality and Reliability Engineer, you will play a crucial role in ensuring Annapurna Labs' semiconductor products meet customer demands. Your responsibilities will include leading all Q&R activities for one of our IC product lines, chart the technical direction, build and lead a team of Q&R engineers, direct work with Annapurna's customers to jointly debug failures and reduce IC related failures, and support RMA analysis.
In this role you will have significant impact on, and be completely exposed to, the semiconductor production flow of all Annapurna Labs products, semiconductor testing methodologies and FAB process yield improvement activities.
This is a fast-paced role where you'll work with thought-leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' overall performance, quality, and cost.

We are looking for a Sustaining Lead Engineer to join the team responsible for maintaining and improving the manufacturing health of our cloud server platforms at scale.

As a Sustaining Lead Engineer, you will own the ongoing producibility, yield, and quality of our Graviton server products across high-volume manufacturing sites - driving root-cause analysis, process improvements, and supply continuity for products already in mass production. This is a multidisciplinary role spanning hardware, firmware, test, and manufacturing process domains.

Key job responsibilities
- Support new product introduction (NPI) to volume transition by defining production-readiness criteria and validating manufacturing processes at scale.
- Own manufacturing yield, quality, and reliability metrics for Graviton server platforms in volume production; drive systematic root-cause analysis and corrective actions for field and factory issues.
- Partner with Contract Manufacturers (CMs) to monitor process health, resolve production escapes, and implement continuous improvement initiatives across multiple high-volume lines.
- Lead debug and failure analysis of field returns and fleet-level reliability events - identify systemic failure modes, develop containment actions, and drive permanent fixes back into design and manufacturing processes.
- Partner with supply chain to review, identify, and qualify second-source electrical components to mitigate supply-chain risk and ensure continuity of supply without disrupting production.
- Develop and maintain sustaining test strategies - including failure analysis workflows, screening methods, and data-driven disposition criteria - to protect outgoing quality.
- Analyze manufacturing and field data at scale to identify trends, repeat-offender units, and systemic failure modes; translate findings into actionable design or process changes.
- Willing to travel 4-6 times annually for week-long trips to manufacturer sites.