About this opportunity
Hyperscale lists this Founding Senior Software Engineer opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.