HPC Software Engineer

A well-funded and rapidly growing technology organization focused on building and scaling high-performance computing (HPC) and cloud infrastructure. The team operates at the forefront of distributed systems, enabling large-scale research, simulation, and data-driven decision-making. Their platform supports mission-critical workloads that drive innovation across advanced technical domains.The RoleWe're looking for a Software Engineer to join a team responsible for building and operating a large-scale HPC platform that powers complex batch workloads on Kubernetes.This role sits at the intersection of distributed systems, cloud infrastructure, and high-performance computing. You'll work on a modern scheduling platform designed to orchestrate workloads across multiple Kubernetes clusters at scale.You'll be joining a highly experienced engineering team working on cutting-edge infrastructure supporting ML and compute-intensive workloads.What You'll DoDesign and build backend systems using Go (Golang)Develop and operate highly scalable, distributed systems for large-scale workloadsBuild and manage containerized applications in Kubernetes environmentsOptimize and manage data across databases (primarily PostgreSQL and other data stores)Troubleshoot and tune Linux-based systems within a compute-heavy environmentDebug networking and system-level issues to improve performance and reliabilityDiagnose complex production issues across infrastructure and application layersApply strong software design principles and computer science fundamentals to your workContribute to CI/CD pipelines and engineering best practicesStay current with new technologies and apply them where relevantWhat We're Looking ForExperience building Kubernetes components (e.g. controllers, operators)Experience with event-driven architectures (Kafka, Pulsar, or similar)Background in high-performance computing, Kubernetes, or workflow orchestration systemsExperience running distributed systems in cloud environments (AWS preferred)Familiarity with monitoring/logging tools (e.g. Prometheus, Grafana)Experience with job scheduling systems (e.g. SLURM or similar)Why JoinWork on cutting-edge infrastructure at scaleTackle complex engineering challenges in distributed systems and HPCCollaborate with a high-caliber, deeply technical teamMake a direct impact on systems that power advanced research and innovationBenefitsLunch stipend (via delivery service)100% employer-covered medical, dental, and vision (for employees + families)16 weeks paid parental leave401(k) with company matchAdditional optional health and wellness benefitsGenerous PTO + company holidays