Senior Software Engineer - Hyperconverged Infrastructure Data Path

Quantum Corp. leads the world in helping organizations build modern, software-defined infrastructure that simplifies IT operations and accelerates digital transformation. Whether its delivering unified compute, storage, and networking for enterprise workloads, enabling seamless hybrid cloud deployments, powering mission-critical virtualized environments, or driving AI-ready hyperconverged infrastructure at scale, Quantum has the tools and technology to help you engineer the solution that works now - and scales for decades to come. You are applying to an exceptional team that contributes to enhancing our position as a proven global leader in hyperconverged and software-defined infrastructure.

We are seeking a high-caliber Senior HCI Software Engineer to join our Hyperconverged Infrastructure Team. In this role, you will be responsible for the core software stack that unifies compute, storage, and networking into a single, seamlessly managed platform: the HCI Software Stack. You will design, implement, and optimize the software layers that converge compute, storage, and networking resources into a unified, policy-driven infrastructure platform. This is a full-stack infrastructure role requiring a passion for systems software, distributed resource management, and building platforms that make complex infrastructure simple to operate at scale.

Specific duties include but are not limited to:

• HCI Platform Architecture: Design and maintain the core HCI software stack including the distributed resource scheduler, software-defined storage engine, and virtual networking fabric that underpin Quantum's hyperconverged appliances.
• Performance & Resource Efficiency: Profile and optimize resource contention across compute, storage, and network layers. Work with technologies like iSCSI, NVMe-oF, SR-IOV, and DPDK to minimize overhead and maximize workload density on shared HCI nodes.
• Fault Tolerance & Self-Healing: Implement and maintain features such as automatic node failure detection, live VM migration, distributed snapshot management, and self-healing storage policies to ensure continuous availability of HCI workloads.
• Virtualization & Workload Management: Develop and extend integrations with hypervisors (KVM, VMware, Hyper-V) and container runtimes (Kubernetes, Docker) to enable seamless workload placement, live migration, and QoS enforcement across the HCI cluster.
• Scale-Out & Lifecycle Management: Ensure the HCI platform scales linearly as nodes are added, automating data rebalancing, capacity expansion, and rolling software upgrades without disrupting running workloads.

Job Requirements:

• Minimum 8 years of experience in systems or infrastructure software development using C/C++, Python, or equivalent languages.
• Leverage modern development tools and AI-assisted workflows (e.g., Claude code, GitHub Copilot, Cursor, LLMs) to accelerate prototyping, code generation, and test automation.
• Experience developing or optimizing the datapath in a software-defined storage layer, including I/O path, caching, replication, erasure coding, and low-latency data services.
• Experience with hypervisors (KVM, VMware vSphere, Hyper-V) and container orchestration (Kubernetes, OpenShift) is a plus.
• Experience with software-defined networking (OVS, VXLAN, BGP) and Linux networking stack is a plus.
• Experience with HCI platforms such as Nutanix AOS, VMware vSAN, or Azure Stack HCI is a plus.
• Experience with AI/ML infrastructure workloads and GPU resource management is a plus.
• Ability to work in a team environment.
• Strong communication skills.
• Ability to work with a globally distributed team.
• Self-motivated, able to identify and solve problems on their own.
• Ability to collaborate cross functionally and integrate other components into the solution.
• Approach problems creatively and not just repeat the same mistakes made before them.
• Effective communicator to both technical and non-technical audiences.

Desired Skills:

• Experience with Linux OS administration including kernel tuning, performance profiling (perf, eBPF), and HCI node lifecycle management
• Experience using GIT.
• Experience using JIRA.

Ideal Candidate:

Our ideal candidate is passionate about simplifying infrastructure complexity, thrives at the intersection of hardware and software, and has hands-on experience designing or operating hyperconverged or software defined infrastructure environments.