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Staff Engineer

Aqua Voice

San Francisco, CAFull-time$190–250K/yrPosted 8mo agoStill listed 4 days ago

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At a glance

Compensation
$190–250K/yr
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

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Job overview

Aqua Voice is hiring a Staff Engineer. Aqua Voice builds the voice input layer for AI, training its own models and creating deep OS integrations to control the entire stack. The company seeks a senior technical leader to own systems across the stack, manage AI agents, and deliver real‑time transcription and GPU inference solutions.

Key focus areas include Own technical systems across the stack, Run GPU inference for ASR models, and Track 30+ metrics per session.

Successful candidates bring Experience Building And Operating Systems At Scale. Preferred (not required): Bun, Fly, PyTorch, and GPU Inference.

Skills & qualifications

RequiredNice to have

Skills

BunFlyPyTorchGPU InferenceReal-Time TranscriptionWebSocket State MachinesMulti-Provider FailoverSub-100ms Latency TargetsNative AppsSwiftmacOSC#Electron IPCSystem-Level ProgrammingDjangoCeleryPostgreSQLTypeScriptPythonNode.jsFastAPITerraformAmazon RDSRedisgRPCRESTStrong Opinions About ArchitectureComfortable Being Most Senior Technical PersonAble to Take Vague Problems and Ship Working SystemsCode That Survives Production

Qualifications

Experience Building and Operating Systems at Scale

Full job description

ABOUT US

Aqua Voice is building the voice input layer for the age of AI. We train our own models and build deep OS integrations because doing voice well requires controlling the entire stack.

The way people work is changing. IC work is over; you manage AI agents now. This type of work is wonderfully suited for voice.

We aren't building conversational agents. We believe the most natural way to interact with your computer is voice in text out (VITO). We believe that voice belongs at a level above the application, and that a small company can win by pushing the envelope.

We are applying relentless energy to this opportunity and the results so far have been good. We hope you will join us.

THE ROLE

You will own technical systems across the stack. We're a small team, post-product-market-fit, and growing. We have real users and real problems.

We prefer modern tools—Bun over Node, Fly over AWS when it makes sense, PyTorch over legacy ML frameworks.

THE WORK

GPU inference: We run our own ASR models.

Real-time transcription: WebSocket state machines, multi-provider failover, sub-100ms latency targets. We track 30+ metrics per session.

Native apps: Swift on macOS, C# on Windows, Electron IPC. System-level programming.

Backend: Django for billing and analytics (oops). Celery for background jobs. PostgreSQL.

There are no separate infrastructure and product teams. You will work on all of it.

STACK

  • Languages: TypeScript, Python, Swift, C#

  • Runtime: Bun, Node.js, Django, FastAPI

  • ML: PyTorch

  • Infra: Fly.io http://Fly.io, Terraform, AWS (RDS), Redis

  • Protocols: gRPC, WebSocket, REST

WHAT WE'RE LOOKING FOR

  • Experience building and operating systems at scale

  • Strong opinions about architecture, loosely held

  • Comfortable being the most senior technical person in the room

  • Able to take vague problems and ship working systems

  • Code that survives production

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