
51 - 200 funcionários
💰 $50.000.000 Series C em 2022-09
Ceribell é uma startup de dispositivos médicos em rápido crescimento, apoiada por investidores, fundada por dois membros do corpo docente da Universidade de Stanford. Nossa missão principal é melhorar o cuidado neurológico para pacientes de emergência e UTI. A Ceribell está focada em tornar o EEG amplamente acessível, mais eficiente e mais econômico para melhorar o diagnóstico e o tratamento de pacientes em risco de convulsões. O sistema pode ser configurado por qualquer profissional de saúde em minutos. Agora, com o Clarity, a Ceribell oferece monitoramento contínuo de EEG à beira do leito e alerta 24 horas por dia, 7 dias por semana.
🕒 Junho 5
🏄 California – Remoto
💵 $141.000 - $173.000 / ano
⏰ Tempo Integral
🟡 Pleno
🟠 Sênior
⚙️ Engenheiro de Sistemas
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

51 - 200 funcionários
💰 $50.000.000 Series C em 2022-09
Ceribell é uma startup de dispositivos médicos em rápido crescimento, apoiada por investidores, fundada por dois membros do corpo docente da Universidade de Stanford. Nossa missão principal é melhorar o cuidado neurológico para pacientes de emergência e UTI. A Ceribell está focada em tornar o EEG amplamente acessível, mais eficiente e mais econômico para melhorar o diagnóstico e o tratamento de pacientes em risco de convulsões. O sistema pode ser configurado por qualquer profissional de saúde em minutos. Agora, com o Clarity, a Ceribell oferece monitoramento contínuo de EEG à beira do leito e alerta 24 horas por dia, 7 dias por semana.
• Implement internal tools and applications based on architectural direction from the Director of Data Architecture & Engineering, including taking stakeholder prototypes and re-engineering them into production-grade systems. • Manage and maintain the infrastructure supporting internal AI tools and data systems, including deployment, configuration, monitoring, and incident response. • Write clean, well-documented code across whatever languages and frameworks the work requires; apply sound engineering practices around testing, version control, and code review. • Evaluate and integrate AI tools and third-party services into internal workflows where they provide clear value, with attention to security, cost, and long-term maintainability. • Contribute to data quality practices: implementing automated checks, investigating pipeline failures, and helping establish clear data ownership and lineage. • Collaborate with stakeholders across the business to understand requirements, surface technical tradeoffs, and deliver solutions that meet actual needs rather than assumed ones. • Support access control and permissions management across systems and tooling, contributing to the team’s broader security and governance practices. • Maintain thorough documentation of systems, data flows, and processes so that institutional knowledge is preserved and accessible. • Other responsibilities as assigned by your Manager/Supervisor
• 3 - 6 years of hands-on experience in a technical role spanning some combination of software development, data engineering, and infrastructure or DevOps work. • Experience implementing and deploying AI solutions in a production environment, including model integration, API usage, and operational maintenance. • Proficiency in at least one general-purpose programming language (e.g. Python) and comfort picking up new languages or frameworks as the work demands. • Experience building and maintaining data pipelines, including working with APIs, relational databases, and cloud data platforms. • Working knowledge of DevOps practices and tools: CI/CD pipelines, containerization (Docker), cloud infrastructure (AWS, GCP, or Azure), and infrastructure-as-code concepts. • Demonstrated ability to read and understand existing codebases, including prototypes or AI-generated code, assess their quality, and refactor or rebuild them as appropriate. • Familiarity with enterprise business systems such as Snowflake, Salesforce, NetSuite, or similar platforms, including working with their APIs and data models. • Strong attention to detail. • Good written and verbal communication skills; able to explain technical decisions clearly to non-technical colleagues. • Bachelor’s degree in Computer Science, Engineering, or a related field preferred; equivalent practical experience accepted.
• Performance-based incentive compensation (varies by role) • Equity opportunities • 100% Employer paid Health Benefits for Employees • 50% - 70% Employer paid Health, Dental & Vision for dependents (depending on plan selection) • 100% paid Life and Long-Term Disability Insurance • 401(k) with a generous company match • Employee Stock Purchase Plan (ESPP) with a discount • Monthly cell phone stipend • Flexible paid time off • 13 Paid Holidays + 3 Company Wellness Days • Excellent parental leave policy • Fantastic culture with tremendous career advancement opportunities • Joining a mission-minded organization!
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