Sr. Staff Engineer is responsible for independently leading the development and execution of new and existing products, processes, prototypes, fixtures, and tools. Serves as a recognized technical expert in design engineering, new product development, and design transfer, resolving complex technical challenges and driving continuous quality improvement.

Provides architectural leadership and integration for next-generation medical image visualization platforms, focusing on high‑performance rendering, interactive image manipulation (zoom, pan, rotate, window/level, overlays), and DICOM-based workflows.

Drives innovation aligned to company goals, shapes long-term technical strategy, and mentors engineers across functions. Acts as a domain authority, ensuring cross-team alignment across imaging, platform, and clinical stakeholders to deliver impactful advancements in patient care.

• Leads design and development of new and existing systems/products; defines and improves engineering standards, processes, and procedures.

• Creates requirements, specifications, and designs for medical devices in compliance with regulatory standards.

• Leads subsystem characterization, verification, and validation activities; designs tests, analyzes results, and documents outcomes.

• Applies experimental, empirical, and simulation-based analyses to evaluate designs, mitigate risks, and ensure reliability.

• Develops test methods, simulation models, and technical documentation governing processes and procedures.

• Leads development of product specifications, FMEAs, DOEs, and V&V strategies; manages risk documentation and mitigation.

• Recommends and improves Design Control and quality processes in accordance with FDA guidelines.

• Applies advanced troubleshooting and root cause analysis (RCA) for complex system-level issues.

• Provides technical justification and drives resolution of complex design challenges.

• Establishes technical leadership, identifies program risks, and ensures execution to timelines and schedules.

• Drives process improvements to enhance engineering efficiency across teams.

• Develops products, processes, and design tools for cross-organizational use.

• Defines and owns architecture for medical image visualization systems, including 2D/3D/4D viewers and rendering pipelines (web and device-based).

• Leads design of high-performance 3D visualization (volume rendering, MPR, zoom/pan/scroll, cine playback) and integration with backend systems.

• Establishes best practices for rendering performance, GPU acceleration, and memory management.

• Drives technical decisions across visualization frameworks (OpenGL, Vulkan, WebGL, DirectX, etc.).

• Serves as subject-matter expert in DICOM formats, image data handling, and diagnostic visualization features (window/level, LUTs, annotations, overlays).

• Ensures visualization workflows meet clinical, regulatory, and quality requirements.

• Drives system-level trade-offs across performance, scalability, latency, cost, and image quality.

Tools & Technologies

• Cloud: AWS, Azure, or GCP; serverless and containerized architectures

• Orchestration & IaC: Kubernetes, Helm, Terraform

• CI/CD & DevOps: GitHub, GitLab, or Azure DevOps; automated testing and artifact management

• Observability: Prometheus, Grafana, Datadog, OpenTelemetry

• Data & Streaming: Kafka, Spark/Databricks; event-driven architectures

• Proven ability to introduce modern engineering practices that improve team velocity and delivery quality

• Proficiency in software and system development tools such as MATLAB, Python, C++, VTK, and Qt/QML

• Experience architecting both on-premises and cloud-based imaging solutions, including integration of AI/ML for computer vision and diagnostic applications

• Experience working in regulated industries (e.g., healthcare); familiarity with software lifecycle and quality standards such as IEC 62304

• Deep expertise in imaging modalities such as CT, ultrasound, MRI, or X-ray

• Knowledge of regulatory and quality frameworks (e.g., FDA, ISO 13485, IEC 60601), including cybersecurity best practices

• Strong stakeholder management skills, with the ability to influence across Product, Marketing, IT, Security, and Compliance

• Practical experience with MLOps/LLMOps (model selection, fine-tuning, prompt engineering, evaluation, safety, and data governance)

• Track record of building platform capabilities (SDKs, templates, reference architectures) and enabling self-service for product teams

• Experience managing third-party vendors and system integrators, including negotiating technical contracts