Senior Software Engineer

About Pictor LabsPictor Labs is the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.Our breakthrough DeepStain and ReStain technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.Responsibilities:Design and implement REST APIs and web-based applications for PictorLabs cloud services and Pictor Edge device configuration, monitoring, and managementDevelop intuitive web UI for both cloud-based virtual staining workflows and edge device deployment and configurationBuild and maintain backend services that seamlessly operate across cloud (AWS) infrastructure and edge device environmentsDesign and implement efficient database schemas for cloud service management, edge device management, inference job tracking, results storage, and audit logging optimized for low latency responsesArchitect and implement containerized AI/ML inference pipelines for deployment on both cloud infrastructure and edge devices (NVIDIA DGX hardware)Isolate and address performance issues end-to-end for large pathology slide images across cloud and edge deploymentsImplement comprehensive observability solutions including telemetry, logging, monitoring, and alerting for distributed cloud and edge deploymentsWrite clean and extensible Python, TypeScript, and Node.js code with production-grade security, scalability, and debuggability best practicesEnsure all software implementations meet FDA compliance requirements (21 CFR Part 11, 820) and SOC2 security standards for both cloud services and edge devicesWork closely with ML Engineering, ML Research, and Edge Device teams to integrate AI models into production-ready inference servicesParticipate in design reviews, code reviews, and architecture discussions to maintain high software quality standardsIdentify performance bottlenecks in inference pipelines, cloud services, and edge-to-cloud communication. Deliver optimized solutions to address themDevelop and maintain comprehensive technical documentation including API specifications, deployment guides, and security documentation for regulatory submissionsParticipate in on-call rotation, incident management, and root cause analysis to improve system reliabilityCollaborate with QA teams to implement automated testing within CI/CD pipelines for both cloud and edge deploymentsMinimum Requirements:Bachelor's Degree (Master's Degree preferred) in Computer Science, Engineering, Mathematics, or related field5-7 years of software development experience building distributed systems and web applications4+ years of experience designing and implementing REST APIs and backend services in production environments3+ years of experience with AI/ML application development, including deploying and optimizing inference services4+ years of hands-on experience with Python and TypeScript/JavaScript for backend and frontend development3+ years of experience with cloud infrastructure (AWS preferred) including services such as EC2, S3, EKS, ECR, Lambda, and CloudWatch3+ years of experience with containerization technologies (Docker, Kubernetes) for both cloud and edge deployments3+ years of experience with database design and implementation (SQL and NoSQL databases)2+ years of experience developing software in regulated environments with understanding of FDA and/or SOC2 compliance requirementsExperience with observability platforms and tools (e.g., Prometheus, Grafana, CloudWatch, DataDog, or similar)Strong understanding of DevOps practices and CI/CD pipelinesExperience with frontend frameworks such as React for building web-based management interfacesExcellent problem-solving skills and attention to detailComfortable with ambiguity and ability to thrive in a fast-paced startup environmentStrong written and verbal communication skills for cross-functional collaborationNice to Have:Knowledge of medical imaging formats and workflows (DICOM, whole slide imaging, digital pathology)Experience with edge computing architectures and hybrid cloud-edge deploymentsFamiliarity with ML frameworks such as PyTorch and TensorFlowExperience with image processing, streaming large binary data and optimizing data transfer between edge and cloudKnowledge of IEC/ISO standards such as 62304, 14971, 13485, 27001, or UL 2900Experience with infrastructure-as-code tools (Terraform, CloudFormation, Ansible)Prior experience in healthcare technology, medical devices, or biotechnology industriesExperience with WebSocket or gRPC for real-time communicationKnowledge of cybersecurity best practices for medical device softwareEqual Employment OpportunityPictor Labs is an equal opportunity employer and does not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses. #J-18808-Ljbffr