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Senior Software Engineer for Platform Instrument Control (AI)

185 000 - 225 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Software Engineer for Platform Instrument Control (AI): Building clean APIs, device abstractions, and orchestration systems that control custom ultrasound, microscopy, imaging, and laboratory instruments with an accent on real-time control, safety, reproducibility, and high-throughput data acquisition. Focus on designing concurrency-aware systems, coordinating experimental triggers and checkpoints, integrating streaming and backpressure management, and enabling scientists to write protocols in Python.

Location: San Francisco Bay Area; on-site

Salary: $185,000–$225,000 per year plus equity

Company

hirify.global is a frontier research lab developing high-bandwidth brain-computer interfaces that integrate biological and artificial intelligence.

What you will do

  • Wrap heterogeneous instruments, including ultrasound-on-chip systems, cameras, stages, temperature controls, and delay generators, into reusable and well-tested device abstractions.
  • Design and build an orchestration layer for trigger management, checkpoint coordination, and safe experimental execution.
  • Implement safety and reproducibility features such as parameter bounds, interlocks, dry-run modes, and simulation.
  • Integrate streaming and backpressure management with the data platform team for large-scale acquisition.
  • Enable platform engineers and scientists to build robust protocols through clean APIs and Python-based interfaces.
  • Advise on hardware integration needs and mentor scientists and engineers on software best practices and the SDLC.

Requirements

  • Deep systems engineering experience with real-time device control, concurrency, memory, and performance.
  • Experience building hardware or scientific instrument integrations for a team.
  • Strong API and SDK design skills, including clean abstractions, sensible defaults, asynchronous workflows, and large-data handling.
  • Empathy for biologists, chemists, and other non-technical users building workflows on measurement platforms.
  • Ability to work on-site in the San Francisco Bay Area.

Nice to have

  • Experience with scientific instrumentation such as ultrasound or microscopy.
  • Experience with lab automation, liquid handling, robotics, or high-throughput data acquisition.
  • Experience shipping software from zero to one in a startup or newly formed team.

Culture & Benefits

  • Work alongside biologists, clinicians, neuroscientists, ML researchers, and platform engineers.
  • Build software infrastructure intended to make scientific data and computational resources more accessible across the company.
  • Receive equity in addition to the listed salary.
  • Join a team focused on software integrity, safe systems, and scientific collaboration.

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