Senior Software Engineer (Simulation Orchestration)

Join Applied Intuition as a Senior Software Engineer on the Simulation Orchestration team. You will own the compute platform for our autonomy products, develop a multi-environment compute platform, and solve distributed systems challenges. You will collaborate with customers and internal teams, ensure high reliability and scalability for production simulation systems, and drive architecture decisions. Benefits include health insurance, fitness stipend, 401(k) match, learning stipend, parental leave, and catered meals.

• Développer une plateforme de calcul multi-environnement pour la planification des charges de travail, l'allocation des ressources et le cycle de vie des nœuds.
• Collaborer avec les clients et les équipes internes pour traduire les besoins en calcul en fonctionnalités de la plateforme.
• Résoudre les défis des systèmes distribués, y compris la planification des GPU, l'autoscaling et l'efficacité des ressources.
• 5+ years of backend engineering experience, with a track record of owning production distributed systems
• 4+ years building complex backend systems on major cloud providers
• 4+ years of coding in Golang, Python, Java, or C++
• Deep Kubernetes expertise, including pod scheduling, node lifecycle, and autoscaling under load
• Experience building or operating workload scheduling systems (e.g., dispatch, bin-packing, quota enforcement)
• Self-starter with experience driving production system development from 0 to 1
• Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles
• Experience with cloud cost optimization strategies for high-scale compute workloads
• Multi-cloud (AWS, OCI, GCP, Azure) or on-prem Kubernetes deployments
• Experience managing multi-cluster environments using Infrastructure as Code
• Experience scheduling GPU workloads or managing GPU capacity at scale
• Experience building custom Kubernetes controllers or operators