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seeking a top notch software engineer to drive forward the development of the full software stack and architecture behind our revolutionary coprocessor. You will demonstrate creative and critical thinking capabilities and have a genuine passion for tackling complex low-level software issues.

As part of the memory system team, you will work on design and implementation of new and enhanced features of the memory system to support high performance computing and AI applications in the Maverick accelerator runtime environment.

You will work closely with software engineers, hardware engineers, compiler developers and other stakeholders to enable the most efficient execution of applications on a large scale, multi threaded and highly distributed system across multiple disciplines with a deep OS Internals point of view.

We are seeking a highly skilled and motivated Electrical Validation (EV) Engineer and System Production/Testing/ATE Engineer to join our team. This position is crucial in supporting the design EV, development, and implementation of Automated Test Equipment (ATE) and production test systems.
The Electrical Validation Manager leads the electrical validation function across our company hardware platforms. This role owns validation strategy, methodology, lab infrastructure, and execution across all high-speed and control interfaces. The manager ensures robust electrical performance from early prototypes through production release and drives cross-functional alignment between design, SI, firmware, and manufacturing.
The role involves close collaboration with R&D, Quality, DevOps, and Contract Manufacturing (CM) teams to ensure the delivery of high-quality, reliable products.
Key Responsibilities
Define the electrical validation strategy for our company hardware platforms.
Own validation methodology for: High-speed Ethernet (100M-1600G), PCIe Gen1 to Gen5+, SerDes architectures (NRZ/PAM4), Control and management buses (I2C, SPI, RS-232, MDIO, etc.)
Establish structured validation plans aligned with hardware release milestones.
Build and manage a high-performance validation team.
Define lab architecture including: Equipment selection (oscilloscopes, BERTs, analyzers), Compliance platforms, Automation frameworks, Signal integrity validation environments
Drive early engagement with board design and SI teams to ensure design-for-validation.
Oversee: Compliance (IEEE, PCI-SIG, OIF), Interoperability testing, Stress and margin testing
Lead root cause analysis of electrical failures and systemic issues.
Support NPI, manufacturing bring-up, and yield improvement.
Develop automation and scalable validation methodologies.
Define validation documentation standards and sign-off criteria.
Collaborate with system architecture and software teams to ensure HW-SW integration robustness.
Manage external labs and certification processes where required.
Drive continuous improvement of validation coverage and efficiency.
Lead the full ATE development lifecycle from requirements definition to execution in production, including GUI design and Python scripting.
Develop and maintain boundary scan applications using JTAG Technologies.
Define and maintain test fixtures, including JIGs/Bed-of-Nails, etc. in collaboration with mechanical vendors.
Implement full test traceability systems for production yield and stability monitoring.
Collaborate with R&D and Quality teams to drive product quality and reliability improvements.
Provide onsite support at CM sites, including station setup, installation, training, maintenance, and debugging.
Perform in-depth failure analysis and troubleshooting at the system and component level.
Utilize and maintain a range of test equipment, including:
Work with various communication protocols: TCP/IP, Telnet, SSH, HTTP, SNMP, SFTP, SCP, FTP, RS232, GPIB, I2C, NI-VISA.
Support testing of embedded systems running on Linux platforms.

We are looking for the best of the best data Networking QA engineers with an ability to think out of the box, execute, and turn the out of the box thinking into real value for our customers.
Responsibilities:
As a data-networking QA engineer, you will:
Be part of R&D scrum team
Work closely with RnD, Product and Architecture to define, develop and test Network features.
Drive quality improvement efforts focusing on networking aspects of newly developed features
Run manual and automated tests on complex environments
Work on linux based platforms and use automation on python environment.

We are seeking a highly skilled AI Application Team Lead to build and lead a team responsible for developing, running, and optimizing large-scale AI workloads on AI hardware platform. This role focuses on benchmarking state-of-the-art models (e.g., LLaMA, DeepSeek), executing MLPerf suites, analyzing system-level performance, and driving cross-stack optimizations across hardware, runtime, and software frameworks.

The ideal candidate combines strong technical depth in AI/ML systems, hands-on experience with LLM workloads, and leadership capability to guide a high-performance engineering team.

What Youll Do
Manage the front desk on the R&D floor, ensuring a welcoming and professional atmosphere.
Greet and assist guests, vendors, and employees.
Serve as the primary point of contact for employees' administrative needs, ensuring an excellent employee experience.
Oversee and execute daily office operations, including facilities, logistics, and maintenance.
Assist in planning and coordinating office events, meetings, and team-building activities.
Support various HR-related activities as part of the HR team.
Handle confidential information with professionalism and discretion.
Foster a collaborative and service-oriented work environment.

We are seeking a talented engineer to work on our AI software stack and specifically the AI graph compiler which optimizes AI models to run on our hardware architecture.

we are looking for an AI Platform Engineer to revolutionize engineering productivity and drive AI-powered innovation across the organization. This role is part of our Platform Engineering initiative, focused on enabling engineers and product teams with cutting-edge AI tools, intelligent automation, and scalable AI platforms.
If youre an innovator at heart, passionate about applying AI to solve complex engineering problems, and thrive in an environment that values experimentation, ownership, and entrepreneurship-this role is for you.
Responsibilities
Develop and integrate AI-powered solutions that enhance engineering productivity, automate workflows, and improve developer efficiency across the organization.
Evaluate, prototype, and implement state-of-the-art AI platforms using latest models and frameworks (e.g., ChatGPT, Claude, Gemini, LangGraph, Librechat, AWS Agentcore Bedrock) to address engineering and operational challenges.
Design, build, and maintain AI-driven internal platforms, including knowledge management systems, AI-enhanced coding assistants, intelligent automation tools, and AI-powered chatbots.
Collaborate closely with engineering, DevOps, and product teams to embed AI capabilities into everyday development workflows.
Lead Proof-of-Concept (PoC) initiatives, experimenting with LLMs, generative AI, and automation frameworks to deliver tangible business impact.
Research emerging AI trends, tools, and models, and translate them into practical, production-ready solutions.
Build and operate scalable AI infrastructure that integrates with cloud environments and existing engineering toolchains.
Promote a culture of innovation by empowering teams to adopt AI-driven solutions and sharing knowledge and outcomes across the organization.

We are seeking a highly skilled and experienced Research Engineer to join our team. In this role, you will collaborate on developing innovative solutions from concept to implementation and help drive the next major revolution in the computing landscape.

We are seeking an exceptional software engineer with the imagination to challenge existing designs and the discipline to implement those ideas in production-quality systems.
This role requires a passion for software development, strong system design skills, and deep expertise in coding and debugging. The ideal candidate is also a natural mentor, capable of guiding and developing junior engineers.
This position is for a Principal Software Engineer with extensive experience in databases and systems algorithms for distributed data platforms (databases, replication, HA, data-traversal, deduplication), who can lead the design and implementation of large, complex initiatives end to end.

Key Responsibilities
Own the end-to-end product lifecycle-from market analysis and requirements definition to feature delivery and adoption.
Define and refine product vision, roadmap, and KPIs for network and infrastructure-centric solutions.
Collaborate closely with engineering teams to design scalable, resilient architectures and ensure timely execution.
Lead discovery with customers, partners, and internal stakeholders to identify needs in ISP, carrier, and enterprise environments.
Translate networking and security requirements into clear product specifications and user stories.
Evaluate competitive offerings, industry trends, and emerging technologies in routing, infrastructure, and security.
Work with security teams to integrate and enhance security capabilities, address vulnerabilities, and ensure industry-standard protections.
Drive cross-functional alignment with sales, marketing, support, and operations to ensure product success.
Support customer engagements and represent the product in technical discussions, roadmap reviews, and strategic planning.

This is a high-impact technical leadership role designed for a "star" engineer who can own the entire hardware lifecycle. You will be responsible for stabilizing products from the first prototype through mass production, defining validation strategies, and managing the technical deployment of test stations at global Contract Manufacturers (CMs). You will bridge the gap between R&D, manufacturing, and field reliability to ensure world-class product quality.
Core Responsibilities
Outsourced Station & Vendor Management: Lead the design, setup, and qualification and scale-up of test stations (ICT/JTAG/FT) and debug infrastructure at CM/Outsource partners.
End-to-End Product Stabilization: Own the hardware stabilization process from the first build unit through ramp-up and transition to high-volume production.
Validation & Automation Strategy: Build comprehensive validation plans, review hardware designs for testability (DFT), and integrate automated software tests into production lines.
Advanced System Debugging: Develop hardware debug tools and methodologies to perform deep-dive failure analysis and root cause investigations on systemic issues.
Yield & Data Intelligence: Monitor and optimize yield performance using data analysis techniques to identify trends and failure modes during the NPI lifecycle.
Field & RMA Ownership: Lead technical investigations into field-deployed systems, analyzing diagnostics and telemetry to evaluate RMA claims and provide actionable engineering recommendations.
Cross-Functional Leadership: Collaborate with Mechanical NPI, Test Development, R&D, and manufacturing partners to align test requirements with business needs.
Statistical Process Control (SPC) Implementation: Establish and monitor SPC for critical manufacturing parameters to identify process "drifts" before they result in actual product failures.
Root Cause Corrective Action (RCCA): Lead the formal RCCA process for any manufacturing escapes, ensuring that the "fix" is implemented both in the hardware design and the test software.
Vendor Quality Engineering (VQE): Act as the technical quality lead for CMs and outsourced station builders, defining the "Golden Unit" standards and qualification protocols for all production lines.