Note: The job is a remote job and is open to candidates in USA. Pictor Labs is the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. They are seeking a Senior Software Engineer to design and implement REST APIs and web-based applications for their cloud services and edge device management, while ensuring compliance with FDA standards and collaborating with various teams to integrate AI models into production-ready services.
Responsibilities
- Design and implement REST APIs and web-based applications for PictorLabs cloud services and Pictor Edge device configuration, monitoring, and management
- Develop intuitive web UI for both cloud-based virtual staining workflows and edge device deployment and configuration
- Build and maintain backend services that seamlessly operate across cloud (AWS) infrastructure and edge device environments
- Design and implement efficient database schemas for cloud service management, edge device management, inference job tracking, results storage, and audit logging optimized for low latency responses
- Architect 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 deployments
- Implement comprehensive observability solutions including telemetry, logging, monitoring, and alerting for distributed cloud and edge deployments
- Write clean and extensible Python, TypeScript, and Node.js code with production-grade security, scalability, and debuggability best practices
- Ensure all software implementations meet FDA compliance requirements (21 CFR Part 11, 820) and SOC2 security standards for both cloud services and edge devices
- Work closely with ML Engineering, ML Research, and Edge Device teams to integrate AI models into production-ready inference services
- Participate in design reviews, code reviews, and architecture discussions to maintain high software quality standards
- Identify performance bottlenecks in inference pipelines, cloud services, and edge-to-cloud communication. Deliver optimized solutions to address them
- Develop and maintain comprehensive technical documentation including API specifications, deployment guides, and security documentation for regulatory submissions
- Participate in on-call rotation, incident management, and root cause analysis to improve system reliability
- Collaborate with QA teams to implement automated testing within CI/CD pipelines for both cloud and edge deployments
Skills
- Bachelor's Degree (Master's Degree preferred) in Computer Science, Engineering, Mathematics, or related field
- 5-7 years of software development experience building distributed systems and web applications
- 4+ years of experience designing and implementing REST APIs and backend services in production environments
- 3+ years of experience with AI/ML application development, including deploying and optimizing inference services
- 4+ years of hands-on experience with Python and TypeScript/JavaScript for backend and frontend development
- 3+ years of experience with cloud infrastructure (AWS preferred) including services such as EC2, S3, EKS, ECR, Lambda, and CloudWatch
- 3+ years of experience with containerization technologies (Docker, Kubernetes) for both cloud and edge deployments
- 3+ 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 requirements
- Experience with observability platforms and tools (e.g., Prometheus, Grafana, CloudWatch, DataDog, or similar)
- Strong understanding of DevOps practices and CI/CD pipelines
- Experience with frontend frameworks such as React for building web-based management interfaces
- Excellent problem-solving skills and attention to detail
- Comfortable with ambiguity and ability to thrive in a fast-paced startup environment
- Strong written and verbal communication skills for cross-functional collaboration
- Knowledge of medical imaging formats and workflows (DICOM, whole slide imaging, digital pathology)
- Experience with edge computing architectures and hybrid cloud-edge deployments
- Familiarity with ML frameworks such as PyTorch and TensorFlow
- Experience with image processing, streaming large binary data and optimizing data transfer between edge and cloud
- Knowledge of IEC/ISO standards such as 62304, 14971, 13485, 27001, or UL 2900
- Experience with infrastructure-as-code tools (Terraform, CloudFormation, Ansible)
- Prior experience in healthcare technology, medical devices, or biotechnology industries
- Experience with WebSocket or gRPC for real-time communication
- Knowledge of cybersecurity best practices for medical device software
Company Overview
Company H1B Sponsorship