Software Engineer

Software Engineer The Software Engineering team delivers next-generation application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics — all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners. Join us to do the best work of your career and make a profound social impact as a Software Engineer on our Software Engineering Team in Hopkinton, Massachusetts, Seattle, Washington . What you'll achieve As a Software Engineer , you will deliver scalable, high-performance storage and systems software that powers secure, highly available private and hybrid cloud solutions for customers. Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements Strong foundation in systems programming and distributed systems (concurrency, networking, storage, consistency, fault tolerance), with hands-on Linux/BSD debugging and observability tool Proficient in C/C++, Java, or Python with solid programming fundamentals and experience writing clean, testable code across CI/CD pipelines Ability to translate business needs into clear technical specifications, with strong analytical, debugging, and problem-solving skills Familiarity with distributed systems, advanced AI prompting/context engineering, and a plus for cybersecurity and secure system design 2-5 years of related experience Desirable Requirements Bachelor's degree in computer science or related field Deep understanding and knowledge across kernel subsystems, device drivers, and firmware, with hands-on experience in RDMA/verbs and user space, high-performance I/O frameworks (SPDK, DPDK).

You will:

Own problems end-to-end across design, implementation, testing, deployment, and supportability within a cluster storage system Build and harden distributed services: durability, consistency, replication, data paths, metadata, control planes, scheduling, placement, and lifecycle management Optimize performance across compute, memory, IO, networking (including RDMA), and storage media (NVMe/SSD/HDD); drive latency and throughput improvements with data-driven profiling Advance reliability through observability, telemetry, failure injection, chaos testing, and automated remediation; raise the bar on serviceability and supportability Contribute to security & compliance with secure-by-default engineering