8 дней назад
Product Engineer, Sciences (Robotics/AI)
160 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Engineer, Sciences (Robotics/AI) (Full-Stack, Scientific Software): Building full-stack products, integrations, and data workflows for scientists and laboratory operators developing robotics and embodied AI systems with an accent on scientific protocols, instrument data, traceability, and reliable production software. Focus on translating experimental workflows into usable interfaces, connecting incomplete and changing data sources, and maintaining software across frontend, backend, databases, and deployment.
Location: New York, United States; on-site
Salary: $160,000–$180,000 per year, including base salary and on-target incentives where applicable
Company
builds data infrastructure for robotics and embodied AI, including data capture, labeling, and hardware-enabled workflows for AI labs and robotics companies.
What you will do
- Build and maintain full-stack products with frontend interfaces, backend services, and data models for scientific workflows.
- Work directly with scientists to understand laboratory protocols, instruments, experimental records, and practical constraints.
- Develop integrations, imports, and exports while preserving data context and traceability across incomplete or changing records.
- Test, deploy, monitor, and support production software, including access controls, debugging, and performance improvements.
- Identify product improvements, validate them with users, and make scope and tradeoff decisions under ambiguity.
Requirements
- Production experience across frontend, backend, and databases, with the ability to debug across system boundaries.
- Understanding of experimental workflows, protocols, controls, and sources of variability through laboratory work or scientific software development.
- Ability to build clear, interactive, user-facing interfaces for complex requirements.
- Experience building reliable APIs, working with databases and file storage, and investigating data-processing errors.
- Product judgment, user collaboration, and ownership from initial release through ongoing production use.
Nice to have
- Experience building products used regularly by scientists or laboratory operators.
- Experience with scientific records, instrument integrations, or data-intensive review workflows.
- Practical use of AI tools in products or engineering, with attention to validation and failure handling.
Culture & Benefits
- Inclusive and supportive candidate experience.
- Accommodation available during the interview process upon request.
- Equal opportunity employment and a work environment free from discrimination, harassment, and retaliation.
- AI-assisted recruitment is reviewed and supplemented by human judgment in all candidate evaluations and hiring decisions.
- Additional equity, health and wellness benefits, and company programs may be included in the total rewards package.
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