Senior Software Engineer

About Pictor Labs

Pictor 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.

About the Role

We're seeking a Senior Software Engineer to design, build, and maintain the full-stack applications and AI/ML inference services that power our virtual staining platform. You'll develop production-grade software that seamlessly operates across our cloud-based SaaS platform and Pictor Edge device deployments, ensuring our solutions are secure, compliant, performant, and intuitive for end users. This role requires strong full-stack development expertise combined with experience in AI/ML inference pipelines and a solid understanding of regulated healthcare environments.

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

Minimum Requirements:

• 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

Nice to Have:

• 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

Equal Employment Opportunity

Pictor 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.