Founding Senior Software Engineer

Founding Senior Software Engineer (SF In-Person Preferred)

About Hyperscale

Hyperscale is building AGI for physical operations. We're a team of ex-Samsara engineers and operators deploying frontier agentic systems in the real world.

The result is a superagent that autonomously handles the highest-volume, most complex back-office workflows physical operations depend on: load coordination, scheduling, support, finance and billing, and more. We're live with some of the largest fleets in the US, running millions of autonomous tasks each week, with strong customer satisfaction. We're backed by top investors and moving fast.

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 stack

Build 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 pipelines

Work on real-time communication infrastructure handling thousands of customer interactions

Ship features that directly impact customer outcomes and business metrics

Infrastructure and reliability

Build robust, observable systems that handle enterprise-scale workloads with autonomous agents in the loop

Own deployment pipelines, monitoring, and incident response

Make pragmatic technical decisions that balance velocity with quality and maintainability

Establish engineering practices and patterns that will scale with the team

Cross-functional collaboration

Work closely with founders, customers, and go-to-market teams to understand requirements and iterate quickly

Translate customer problems into elegant technical solutions, including designing agentic workflows and interaction patterns

Participate in technical discussions and architecture decisions

Help evaluate and integrate new technologies and tools across the rapidly evolving AI landscape

Team and culture building

Set the bar for code quality, system design, and engineering excellence

Mentor and collaborate with engineers as the team grows

Shape our engineering culture, processes, and technical standards

Contribute to hiring and building out the engineering team

Who You Are

5+ years of software engineering experience, with demonstrated ability to build and ship full-stack applications

Strong fundamentals in backend systems, databases, APIs, and web applications

Comfortable working across the stack and learning new technologies quickly

Track record of owning complex features or systems from design through deployment

Experience building production systems at scale with attention to reliability and performance

Strong judgment about technical tradeoffs and when to optimize for speed vs. robustness

Excellent communicator who can explain technical concepts to non-technical stakeholders

Nice to Have

Experience with real-time communication systems, voice applications, or telephony

Background in AI/ML product development, agentic systems, or integrating LLMs into production systems

Prior work in logistics, operations, or enterprise SaaS

Experience at an early-stage startup or as a founding engineer

Open 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 Hyperscale

Real product in production with major US fleets

Clear ROI and strong metrics already working in the wild

Work on the frontier of practical AI engineering - agentic systems, real-time voice, and enterprise infrastructure

Define the technical foundation for a category-defining product

Build the engineering team and culture from day one, with a path to technical leadership as we scale

Backed 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).