Top Tech Jobs & Startup Jobs in Austin, TX

Build scalable simulation and planning systems for complex communications networks. Model hypothetical scenarios, allow users to vary configurations and assumptions, evaluate impacts, compare tradeoffs, identify risks, and integrate simulation capabilities into broader product workflows. The role involves full-stack engineering across design, development, testing, and operations, with emphasis on distributed systems, algorithms, network modeling, and computational reliability.

Conduct applied research on scalable optimization and resource-allocation algorithms for large communication networks. Apply machine learning, reinforcement learning, integer optimization, graph-based methods, and metaheuristics to improve solution quality and efficiency. Collaborate with software engineers to integrate algorithms into production aerospace networking systems, evaluate performance at realistic scale, publish research, support patent applications, and document novel methods.

Design and develop backend distributed systems for 5G non-terrestrial networks, Direct-to-Cell services, satellite orchestration, and terrestrial network coordination. Build scalable cloud-native software using C++, Golang, Java, gRPC, Protocol Buffers, and Kubernetes. Translate 3GPP and O-RAN specifications into reliable software, integrate platform components, document implementations, troubleshoot issues, and collaborate with telecom solution architects.

Design and evolve core data models and durable APIs for complex communications networks. Build, test, operate, and maintain production-grade interfaces and abstractions for heterogeneous physical and logical networks while ensuring compatibility, consistency, quality, and performance. Manage project priorities, timelines, and deliverables within the Spacetime engineering team.

Design, evolve, and operate core data models and APIs for complex communications networks. Build durable abstractions for heterogeneous physical and logical networks, while maintaining interface quality, compatibility, consistency, and performance. Collaborate with experienced engineers to manage priorities, timelines, and deliverables across production systems. The role requires strong software engineering fundamentals and proficiency in Golang, C/C++, Rust, or Java.

Build and operate multicloud Kubernetes infrastructure and platform capabilities, including cloud foundations, networking, identity, cluster lifecycle, disconnected deployments, packaging, GitOps delivery, infrastructure as code, observability, upgrades, and incident response. Partner with engineering teams to provide reusable self-service infrastructure primitives across commercial, government, secure, classified, and disconnected environments.

Design and develop high-performance optimization and scheduling systems for complex network-resource allocation problems. Translate network and product requirements into computational models, improve solution quality, runtime, scalability, and explainability, and evolve solver architecture for reliability under increasing complexity and load. The role also involves managing priorities, timelines, deliverables, and maintaining production software.

Design and develop high-performance optimization and scheduling systems for complex network-resource allocation problems. Translate network requirements into computational models, improve solution quality and scalability, and evolve solver architecture for reliability. Responsibilities include managing project priorities, designing, testing, debugging, and maintaining production software. Preferred experience includes numerical optimization, solver development, performance profiling, distributed or cloud computing, and telecommunications or networking.

Build and operate multicloud Kubernetes infrastructure and platform capabilities across commercial, government, classified, and disconnected environments. Responsibilities include cloud foundations, networking, identity, cluster lifecycle, packaging, GitOps delivery, infrastructure-as-code, policy enforcement, staged rollouts, observability, incident response, and backup/recovery. The engineer will also create self-service infrastructure primitives for internal engineering teams and support reliable fleet-scale deployments.

Build simulation and planning systems for complex communications networks. Develop tools that model hypothetical scenarios, vary configurations and assumptions, compare outcomes, surface tradeoffs, and identify risks. Design scalable, reliable backend systems for complex, evolving network states while collaborating across product engineering to integrate capabilities into broader workflows. Responsibilities span system design, implementation, testing, debugging, and operational support.