We are looking for a highly experienced a hands-on Compiler Engineer who embodies ambition and positivity.
Someone who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.
Responsibilities:
Develop our compiler from a proprietary quantum language to a proprietary processor tailored to realize and accelerate quantum computing.
Take on complex optimization challenges at the core of our unique compiler, focusing on real-time applications, hybrid quantum/classical algorithms, and parallel processing.
Conduct rigorous testing, debugging, and profiling to ensure the performance and correctness of compiler outputs.
Hands-on development and debugging of software to optimize the utilization of limited hardware resources, enabling the scaling of quantum computing systems and improving quantum algorithm performance on our cutting-edge quantum orchestration platform.
Collaborate closely with hardware, software and architecture teams to ensure seamless software-hardware integration, directly enhancing system capabilities and performance.

As a quantum researcher, your main role will be to develop algorithmic and error-reduction tools to help our partners and customers achieve quantum advantage for their applications. You will develop our companys error reduction methods, including mitigation and correction, and apply them to different use cases by optimizing existing methods, developing new algorithms, and adapting these tools to the realities of running on quantum hardware. This includes taking into account application requirements, noise characteristics, device constraints, and performance on real quantum devices.
Responsibilities
Developing new error reduction methods, including mitigation and correction, for quantum algorithms.
Optimizing error reduction methods for different algorithms, applications, and hardware settings.
Developing new quantum algorithms to enhance performance on real quantum hardware with error mitigation.
Conducting research on applications of quantum computing with our companys partners, including implementing and running proof-of-concept demonstrations of these applications on real quantum hardware. 

Were currently seeking a Senior Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible performance on pioneering computer hardware? Could you be thrilled about an opportunity to partner with the developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like us? If so, the Developer Technology Team invites you to consider this role.

What you will be doing:

In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.

Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure optimal AI solutions on modern CPU and GPU architectures.

Publish and/or present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community.

Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools for our teams.

Required Senior Software Engineer, CPU, Cloud
About the job
In this role, you will work at the center of our most strategic infrastructure investments. You will join a high-impact team operating on the critical path of our hardware and software evolution, bridging the gap between compute infrastructure and the massive scale of our software stack. You will be responsible for defining the methods and technologies required to model, simulate, and analyze complex hardware systems, with a core focus on security, performance, and correctness analytics, ensuring the efficiency of our future compute platforms. As a software engineer in this group, you will act as an architect, designer, and coder taking ownership of your goal and working in close partnership with cross-functional teams to make it a reality.
You will be at the intersection of hardware design and software optimization for our next-generation high-performance compute cores. You will not just support existing infrastructure; but will be helping build the foundation of our future hardware. Because this work is on the "most critical path" for our future, you will have visibility into and influence over the core technology that powers our most intensive services. You will bridge the gap between silicon-level security research and massive-scale software implementation, working with experimental AI tools that are shaping how we verify and optimize future hardware. You will be building the foundation of our future hardware.
Responsibilities
Drive performance modeling and analysis for next-generation CPUs, while identifying architectural bottlenecks, ensure system correctness, and implement optimization strategies across hardware-software stack to maximize efficiency for compute workloads.
Design, develop, and maintain software modeling tools and simulation environments, leverage C++, Python, and AI-driven methodologies to perform studies and automate analytical workflows.
Conduct security analysis and threat modeling for hardware-software interfaces, while developing and implementing methodologies for detecting, mitigating, and analyzing side-channel and micro-architectural vulnerabilities, ensuring systems meet safety and privacy.
Explore, deploy, and scale experimental AI-driven tooling to automate verification workflows, enhance predictive modeling, and accelerate development cycles, actively contribute to expanding the team's suite of AI-assisted capabilities.
Provide technical leadership in system integration projects, guide cross-functional teams to resolve large-scale compute bottlenecks, influence architectural designs, and facilitate the successful deployment of hardware-software solutions.

Required Micro-Architect
Description
A global leader in control systems for quantum computing, a field on the verge of exponential growth.
Our innovative hardware and software mark a groundbreaking approach in quantum computer control, scaling from individual qubits to expansive arrays of thousands.
At the core of the company lies a passionate and ambitious team committed to reshaping the construction and operation of quantum computers.
Our work is fueled by a deep understanding of customer needs, driving us to deliver unparalleled solutions in this revolutionary field.
Join our cutting-edge hardware development team as Micro-Architect and play a key role in defining and implementing the micro-architecture of advanced digital logic components.
What You'll Do:
Define and develop micro-architecture for complex logic blocks - from concept through high-quality RTL implementation
Collaborate closely with architecture, verification, design and software design teams
Write clear and detailed design specifications and drive architectural trade-off analysis
Optimize for performance and area
Contribute to innovation, methodology improvements, and technical leadership within the team.

For this role, we are looking for a R&D Software Engineer individual who is both an experienced engineer and a great people person.
Someone who can evaluate existing workflows, devise and communicate new solutions, own and deliver them, taking our company to the next level.
Responsibilities:
Actively investigating, understanding, and challenging workflows in the company, interacting daily with software and hardware engineers.
Continuously suggesting and delivering new ideas to enhance and improve our products and the work of engineering teams.
Driving the adoption of AI capabilities and modern practices across chip design, verification, and software teams.
Partnering with engineering teams to plan, develop, and deliver high-quality software infrastructure in a complex hardware + software environment.

As a Performance Software Engineer, you will be instrumental in building the core computation software that runs on custom AI accelerators. Your work will bridge the gap between host systems and proprietary hardware, encompassing everything from a custom on-board kernels to the sophisticated tooling required for real-time debugging. You will be a key player in chip bring-up and the long-term development of high-performance computation primitives and kernels, ensuring our architecture operates with maximum efficiency and deterministic performance.

Responsibilities
Develop and optimize low-level software primitives in C/C++, assembly, and architecture-specific intrinsics, primarily for RISC-V and ARM platforms.

Implement performance-critical kernels, runtime components, hardware abstraction layers, drivers, and firmware operating in bare-metal or highly constrained environments.

Work closely with hardware architects and RTL/design teams to define and validate hardware-software interfaces, memory maps, register interfaces, interrupts, synchronization mechanisms, and boot flows.

Analyze and optimize software for latency, throughput, memory footprint, instruction count, and efficient use of processor and accelerator features.

Bring up and debug software on simulation, emulation, FPGA, and silicon platforms, including low-level hardware/software integration issues.

Develop validation tests, benchmarks, and diagnostic tools for new processor, DSP, accelerator, and SoC functionality.

Contribute to architecture decisions around ISA extensions, compiler intrinsics, memory hierarchy, DMA, cache/coherency behavior, and software-visible hardware features.

We are seeking a Senior System Management Architect to lead the management architecture for our advanced SmartNIC cards. You will be the resident expert for SmartNIC system management, ensuring that NIC ASICs, Baseboard Management Controllers (BMCs), MCUs, CPUs, and CPLDs operate in perfect unison. You will own the lifecycle management specifications for SmartNIC platforms-from factory provisioning and day-one deployment to complex orchestrated reset flows and secure recovery. If you are someone who enjoys looking at a high-level system diagram and then immediately diving into the I2C/I3C bus topologies and PLDM command structures required to make it work, this role is for you.

What you'll be doing:

System Architecture & Flow Definition: Define and document comprehensive production, provisioning, update, recovery and reset flows for SmartNIC cards. Crucially, you will ensure that these board-level architectural decisions perfectly align with and support overarching platform-level needs, orchestrating seamless coordination between the NIC ASIC, BMC, CPU, and peripheral components.

Security & Provisioning: Specify security provisioning flows including OTP fusing, secure boot enablement, attestation key injection, certificate chain management, RPMC key derivation, and PQC (Post-Quantum Cryptography) requirements. Define IPN-to-OPN transition and component locking procedures.

Protocol Implementation & Guidance: Specify the use of standard management protocols (MCTP, PLDM, SPDM, NC-SI) across internal board interfaces to achieve secure boot, firmware updates, and telemetry gathering.

Hardware/Software Intersect: Dive deep into device-level hardware and software behaviour. Define CPLD logic requirements, power-sequencing dependencies, and reset orchestration (e.g., handling PCIe PERST#, SBR, and forced resets) for multi-host and standalone SmartNIC environments.

Interface Management: Architect intra-board communication pathways using PCIe, I2C/I3C, USB, and SPI, ensuring robust out-of-band (OOB) and in-band management connectivity.

Cross-Functional Leadership: Collaborate tightly with Production teams, Hardware and Firmware Engineering, NIC FW/Driver teams, and QA to translate your architectural specifications into implementable, testable realities.

Technical Documentation: Author rigorous technical specifications, test plans, and architectural design documents to guide both development and factory production.

The Networking Advanced Development Software team develops new groundbreaking technologies to enable new market shares for the company and tighten customer relationships. These are emerging technologies in networking and distributed computing for the booming AI factories and data centers. They span areas such as AI neural networks, Deep Learning, High Performance Computing (HPC), Storage, Cloud, SW Defined Network, Network Function Virtualization, 5G NR and more. We develop the solutions top-down, all the way from application behavioral analysis, to architecture definition and down to the implementation, using the world-leading our devices. The development traverses any needed component - application SW, middleware SW, OS kernel subsystems, device drivers, embedded SW (Firmware) and CUDA GPU. We collaborate with partners and key customers in the analysis processes and engage with open source communities introducing our leading features.

What youll be doing:

Lead a team of 5 engineers in the advanced technologies development.

Design and implement solutions throughout all layers from high level application, OS and driver subsystem to firmware.

Work on impactful projects involving state-of-the-art high-performance computing hardware and software.

Provide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technology.

Collaborate with our partners and customers.