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We are seeking a highly experienced engineering professional to take full technical ownership of a complex airborne platform, leading its development from early design stages through full system maturity.

This role serves as the senior technical authority for a multi-disciplinary UAV system, integrating hardware, software, aerodynamics, propulsion, communications, and navigation into a cohesive and high-performance platform.
Role Overview:
The position is responsible for end-to-end system definition, architecture, integration, and performance of a complex airborne system. It combines deep system engineering expertise with hands-on technical leadership across multiple engineering domains. You will act as a key technical focal point within the program, driving engineering decisions, system design direction, and cross-disciplinary alignment.
Key Responsibilities:
Full technical ownership of a complex UAV / airborne platform
system architecture definition and cross-domain integration (mechanical, electrical, software, propulsion, communications, navigation).
Leading system -level requirements engineering and decomposition into subsystem requirements.
Driving technical decision-making, trade-off analysis, and long-term system design strategy.
Ensuring system performance, reliability, scalability, and maintainability across the lifecycle.
Coordinating engineering activities across multiple disciplines and development teams.
Leading design reviews and ensuring technical alignment across stakeholders.
Partnering with program and engineering leadership on roadmap definition and future capabilities.
Supporting development of new platforms from concept through implementation.

A leading technology company in the unmanned aerial systems domain is seeking a Senior Systems Engineer to lead the end-to-end development of complex UAV platforms.

This role carries full system -level responsibility for a multi-disciplinary airborne platform, integrating engineering design, system architecture, performance optimization, and program execution.
Key Responsibilities:
Full system ownership of UAV platforms across the entire lifecycle.
Lead the design and integration of complex systems including airframe, system architecture, propulsion, energy, communications, navigation, and control.
Analyze system requirements and translate them into subsystem-level engineering requirements.
Drive system -level design processes and long-term technical decision-making.
Coordinate and synchronize multiple engineering disciplines (mechanical, electrical, software, etc.).
Lead system integration, testing, and validation activities.
Ensure delivery against quality, schedule, and cost targets.
Work in a matrix environment, influencing cross-functional teams without direct authority.
Contribute to defining technology roadmap and future platform capabilities.

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.

Key job responsibilities
Develop and design advanced semiconductor technologies for cloud infrastructure.
Collaborate on architecture definition and logic design for next-generation computing platforms.
Participate in comprehensive chip verification and bring-up processes.
Contribute to the entire product lifecycle from initial concept to mass production.
Support integration of new chip designs into AWS data center environments.

As a member of the UC organization, youll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in our company, including support for customers who require specialized security solutions for their cloud services.

Take part in the development of cutting-edge products within a disruptive system architecture. You will have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, and fast-paced environment. We provide a highly reliable, scalable, low-cost infrastructure platform in the cloud, which powers hundreds of thousands of businesses in 190 countries around the world. Annapurna Labs, as part of us, is looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture.

Looking for exceptional senior engineers to join the top-tier team that is developing the next generation semiconductor platform, based on a revolutionary architecture. Engineers will participate in design activities, working on the next generation of our products.

You are invited to take part in developing, integrating and deploying cutting-edge technologies, starting with identification and definition of project requirements, architecture, feature development, and collaboration with the different groups.
Your design will be integrated into the nitro SoC, on millions of servers worldwide. This is an opportunity to have a large-scale impact.
As a VLSI engineer and a member of the Nitro project, you will have an impact over the device through its entire lifecycle, from the product definition stage to mass production. You will work in close collaboration with multiple groups, including Architecture, Software, Verification, Backend, and DFT.

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

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.

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.

As a Senior AI Engineer on the Guardian Agents team, you will develop both our autonomous "digital employees" that execute security programs and the Control Plane that governs them. You will build a platform that allows customers to calibrate agents through conversation, ensuring human feedback is transformed into persistent organizational knowledge. By engineering these closed-loop systems, you enable agents to learn, evolve, and deliver accurate, goal-driven security outcomes at scale.
What Youll Do:
Architect Autonomous Agents: Build goal-driven agents for complex security tasks like false-positive reduction and automated triage.
Build the Control Plane: Develop the infrastructure for Human-in-the-Loop (HITL) feedback, natural language calibration, and stateful memory systems.
Engineer for Growth: Implement evaluation frameworks and "organizational memory" to ensure agents stay accurate and follow historical security precedents.
Bridge AI & Engineering: Collaborate in a "Core Pod" with Security Researchers and Data Scientists to turn raw security signals into scalable, productized agent behaviors.
Scale Data Pipelines: Integrate agents with Big Data foundation to ensure real-time context and tenant-safe execution.