高级软件工程师
Senior Software Engineer
关于 Nucs AI
Nucs AI 正通过前沿的 AI 和医学影像技术重新定义癌症治疗。我们由跨学科的肿瘤科医生、AI 研究员和医疗创新者于 2024 年创立，致力于解决医学领域最紧迫的挑战之一：在扫描量不断上升且放射科医生资源有限的情况下，满足对准确、及时癌症诊断日益增长的需求。
我们处于诊断与治疗规划的交汇点——构建融合医学影像、放射配体疗法和人工智能的 AI 工具。从前列腺癌开始，并扩展到整个肿瘤学领域，我们与美国、欧洲和澳大利亚的世界领先医疗机构和制药公司合作，将精准肿瘤学带入日常临床实践。
我们的使命是提升诊断精度，扩大专家级癌症治疗的可及性，从而改善全球患者的预后。我们获得风险投资支持，处于早期阶段，正在组建一支兼具深厚临床专业知识和工程强度的团队——以医疗领域所需的严谨性和问题所需的敏捷速度前进。
机会
加入我们的工程团队，担任全栈工程师，帮助构建下一代医学影像平台。你将在医疗与技术的交汇点工作，开发直接对患者护理和临床流程产生影响的安全、可扩展系统。
你将设计并实现强大的分布式系统，为我们的 AI 诊断工具提供支持——构建能够可靠处理敏感医疗数据、在负载下优雅扩展并与医院基础设施无缝集成的服务。
你将构建
- 使用 Kubernetes 进行编排和部署的可扩展微服务架构
- 使用 RabbitMQ 实现可靠的异步医学数据处理事件驱动系统
- 可扩展的 FastAPI 后端，用于大规模处理和分发医学影像数据
- 具有全面测试、监控和回滚能力的生产级 CI/CD 流水线
- 使用 SQL 数据库的可扩展数据架构，结合智能索引和缓存策略
- 确保临床环境可靠性的监控、日志和告警系统
- 内部服务与外部医疗系统（HL7、FHIR）之间的无缝集成
- 用于临床流程和数据管理的现代 React 前端
要求
你带来的
- 3 年以上全栈工程经验，使用过 Python、React、Kubernetes、Stripe 等技术
查看英文原文
About Nucs AI
Nucs AI is revolutionizing cancer care through cutting-edge AI and medical imaging technology. Founded in 2024 by a multidisciplinary team of oncologists, AI researchers, and healthcare innovators, we’re tackling one of medicine’s most pressing challenges: the growing demand for accurate, timely cancer diagnostics in the face of rising scan volumes and limited radiologist capacity.
We sit at the intersection of diagnostics and treatment planning—building AI-powered tools at the convergence of medical imaging, radioligand therapy, and artificial intelligence. Starting with prostate cancer and expanding across oncology, we partner with world-leading medical institutions and pharmaceutical companies across the US, Europe, and Australia to bring precision oncology into everyday clinical practice.
Our mission is to enhance diagnostic precision and expand access to expert-level cancer care, improving patient outcomes worldwide. We’re venture-backed, early-stage, and building a team that blends deep clinical expertise with engineering intensity—moving with the rigor the medical field demands and the speed the problem deserves.
The Opportunity
Join our engineering team as a Full Stack Engineer and help build the next generation of medical imaging platforms. You'll work at the intersection of healthcare and technology, developing secure, scalable systems that directly impact patient care and clinical workflows.
You'll design and implement robust distributed systems that power our AI diagnostic tools—architecting services that handle sensitive medical data reliably, scale gracefully under load, and integrate seamlessly with hospital infrastructure.
What You'll Build
- Scalable microservices architectures using Kubernetes for orchestration and deployment
- Event-driven systems with RabbitMQ for reliable asynchronous processing of medical data
- Robust FastAPI backends that process and serve medical imaging data at scale
- Production-grade CI/CD pipelines with comprehensive testing, monitoring, and rollback capabilities
- Scalable data architectures using SQL databases with smart indexing and caching strategies
- Monitoring, logging, and alerting systems that ensure reliability in clinical environments
- Seamless integrations between internal services and external healthcare systems (HL7, FHIR)
- Modern React frontends for clinical workflows and data management
Requirements
What You Bring
- 3+ years of full-stack engineering experience with shipped products that real users depend on
- Strong system design skills with experience architecting distributed systems and microservices
- DevOps expertise with Kubernetes, containerization, CI/CD, and Google Cloud Platform
- Backend proficiency in Python with Flask or FastAPI for building reliable APIs and services
- Database expertise in SQL and relational data modeling for handling complex medical data
- Experience with message queues and event-driven architecture patterns
- Clear communication skills and a pragmatic approach to solving complex technical problems
- Frontend competency in TypeScript and React
- CEFR Level C1 or C2 certification in English, or equivalent demonstrable mastery of the language
- Strong academic background with a degree from a highly-ranked university
Bonus Points
- Experience in healthcare/medical software development
- Knowledge of regulatory requirements (GDPR, ISO 13485)
- Experience integrating ML/analytics into production workflows
- Strong security mindset with experience in threat modeling and compliance
- Familiarity with infrastructure-as-code tools (Terraform, Pulumi)
- Experience with WebGL, WebGPU, or medical imaging frameworks (Cornerstone3D, )
Why Nucs AI
- Mission with real impact – Your work directly improves how cancer patients are diagnosed and treated.
- Ground-floor opportunity – Early-stage company, meaningful equity, and outsized influence on the direction we take.
- World-class collaborators – Work alongside leading oncologists, nuclear medicine physicians, and AI researchers globally.
- Massive market tailwinds – Radioligand therapy and AI-driven oncology are multi-billion dollar growth markets.
- Autonomy and flexibility – Remote-first, flexible working. We hire great people and trust them to deliver.
- Equity upside – Competitive equity package. We’re building something big and want you to share in it.
How to Apply
Submit your resume and a brief note on why this role and Nucs AI excite you.
Equal Opportunity
Nucs AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Originally posted on Himalayas