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 Role

We'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 Do

• Design and build backend systems using Go (Golang)
• Develop and operate highly scalable, distributed systems for large-scale workloads
• Build and manage containerized applications in Kubernetes environments
• Optimize and manage data across databases (primarily PostgreSQL and other data stores)
• Troubleshoot and tune Linux-based systems within a compute-heavy environment
• Debug networking and system-level issues to improve performance and reliability
• Diagnose complex production issues across infrastructure and application layers
• Apply strong software design principles and computer science fundamentals to your work
• Contribute to CI/CD pipelines and engineering best practices
• Stay current with new technologies and apply them where relevant

What We're Looking For

• Experience 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 systems
• Experience 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 Join

• Work on cutting-edge infrastructure at scale
• Tackle complex engineering challenges in distributed systems and HPC
• Collaborate with a high-caliber, deeply technical team
• Make a direct impact on systems that power advanced research and innovation

Benefits

• Lunch stipend (via delivery service)
• 100% employer-covered medical, dental, and vision (for employees + families)
• 16 weeks paid parental leave
• 401(k) with company match
• Additional optional health and wellness benefits
• Generous PTO + company holidays