Founding Senior Software Engineer

Founding Senior Software Engineer (SF In-Person Preferred) About Hyperscale Hyperscale is building the AI-native intelligence layer for physical operations, starting with trucking carriers. We are a team of ex-Samsara engineers and fleet operators automating the highest-volume back-office workflows (load coordination, scheduling, driver support, and more) with agentic AI. Our product is deployed with some of the largest fleets in the US, autonomously handling ~70% of tasks with strong customer satisfaction. We are small, moving fast, and backed by top investors. The Role We're hiring a Founding Senior Software Engineer who will help build the core product infrastructure that powers Hyperscale's agentic AI platform. You'll work directly with the founders and across the stack - from backend systems to real-time voice interfaces to customer-facing features. You'll be working on cutting-edge applied AI challenges: building production agentic systems that autonomously handle complex, multi-step workflows in real-world operations. This means solving hard problems in agent orchestration, real-time decision-making, tool use, and human-AI interaction patterns - not just integrating LLM APIs, but architecting the intelligence layer that makes autonomous operations reliable at scale. This is a broad, hands-on role where you'll own significant parts of the product and have the opportunity to shape our engineering culture from day one. If you like building from zero, shipping fast, and solving hard problems close to real customer impact, this role is for you. What You'll Do Engineering across the stackBuild and own core product features end-to-end, from data models to user interfaces (including conversational/agentic UX)Design scalable backend systems that power our AI agents in production environments, including agent orchestration, memory systems, and tool execution pipelinesWork on real-time communication infrastructure handling thousands of customer interactionsShip features that directly impact customer outcomes and business metrics Infrastructure and reliabilityBuild robust, observable systems that handle enterprise-scale workloads with autonomous agents in the loopOwn deployment pipelines, monitoring, and incident responseMake pragmatic technical decisions that balance velocity with quality and maintainabilityEstablish engineering practices and patterns that will scale with the team Cross-functional collaborationWork closely with founders, customers, and go-to-market teams to understand requirements and iterate quicklyTranslate customer problems into elegant technical solutions, including designing agentic workflows and interaction patternsParticipate in technical discussions and architecture decisionsHelp evaluate and integrate new technologies and tools across the rapidly evolving AI landscape Team and culture buildingSet the bar for code quality, system design, and engineering excellenceMentor and collaborate with engineers as the team growsShape our engineering culture, processes, and technical standardsContribute to hiring and building out the engineering team Who You Are5+ years of software engineering experience, with demonstrated ability to build and ship full-stack applicationsStrong fundamentals in backend systems, databases, APIs, and web applicationsComfortable working across the stack and learning new technologies quicklyTrack record of owning complex features or systems from design through deploymentExperience building production systems at scale with attention to reliability and performanceStrong judgment about technical tradeoffs and when to optimize for speed vs. robustnessExcellent communicator who can explain technical concepts to non-technical stakeholders Nice to HaveExperience with real-time communication systems, voice applications, or telephonyBackground in AI/ML product development, agentic systems, or integrating LLMs into production systemsPrior work in logistics, operations, or enterprise SaaSExperience at an early-stage startup or as a founding engineerOpen source contributions or side projects that demonstrate your craft Location San Francisco preferred (in-person). We move quickly and value tight feedback loops across product, engineering, and customers. Why HyperscaleReal product in production with major US fleetsClear ROI and strong metrics already working in the wildWork on the frontier of practical AI engineering - agentic systems, real-time voice, and enterprise infrastructureDefine the technical foundation for a category-defining productBuild the engineering team and culture from day one, with a path to technical leadership as we scaleBacked by top VCs and growing quickly - doubling the team in the first half of the year To apply: Send a note with your LinkedIn/GitHub and 1-2 examples of work you're proud of (a system you built, an open source project, a technical writeup, or anything that shows how you think and build).