PictorLabs IncRemote
Senior Software Engineer
United States of America
Full Time
1 hour ago
$180,000 - $260,000 USD
H1B Sponsor Likely
Key skills
REST APIsWeb-based applicationsCloud servicesEdge device configurationPythonTypeScriptJavaScriptAWS EC2AWS S3AWS EKSAWS ECRAWS LambdaAWS CloudWatchDockerKubernetesSQL databasesNoSQL databasesFDA compliance 21 CFR Part 11FDA compliance 820SOC2 security standardsObservability platforms PrometheusObservability platforms GrafanaObservability platforms CloudWatchObservability platforms DataDogDevOps practicesCI/CD pipelinesReactAI/ML application developmentInference services deployment and optimizationSQLNoSQLAIMLPyTorchTensorFlowNode.jsgRPCAWSTerraformAnsibleEKSCloudFormationEC2LambdaS3CloudWatchPrometheusGrafanaDatadogCI/CDCommunicationCollaboration
About this role
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, develop intuitive web UI, and build backend services for their cloud services and edge devices.
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
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
- 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