Lead Technical Support Engineer, DICOM at RapidAI

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

Requirements

10+ years of experience working with PACS, DICOM, and radiology workflows
In-depth knowledge of DICOM standards, file structures, and transfer syntaxes
Proficient with DICOM viewers and diagnostic tools for file and network-level troubleshooting
Solid understanding of HL7, medical imaging systems, and radiology data flows
Experience debugging DICOM Query/Retrieve workflows and PACS integrations
Comfortable using packet capture and network tools such as Wireshark and TCPDump
Familiar with AWS, including CloudWatch, Lambda, and infrastructure-as-code tools like Terraform
Proven ability to collaborate with cross-functional teams and provide leadership across engineering, support, and product
5+ years of experience mentoring and managing team members in a technical or support capacity

Responsibilities

Provide subject matter expertise in DICOM viewer technologies and standards
Lead the debugging, validation, and enhancement of features tied to DICOM tags, SOP classes, and modalities
Analyze and interpret DICOM file structures, including tags (e.g., StudyInstanceUID, SOPInstanceUID, Modality), transfer syntaxes (Explicit/Implicit VR, Little/Big Endian), and differentiation between image metadata and pixel data
Utilize tools such as dcmdump, DCMTK, GDCM, RadiAnt, and 3D Slicer for advanced DICOM analysis and debugging
Oversee and troubleshoot DICOM network services including C-FIND, C-MOVE, C-STORE, and C-ECHO
Investigate and resolve issues such as DICOM timeouts, association rejections, and PACS misconfigurations
Use Wireshark and TCPDump to monitor and analyze DICOM and HL7 network traffic
Collaborate with engineering to evaluate, reproduce, and resolve viewer-related issues, including root cause analysis and validation of fixes
Provide insight into radiology workflows and ensure solutions align with user needs across imaging modalities
Work with support teams to ensure readiness for new module releases, including viewer updates, on both cloud and on-prem platforms
Embrace new technologies including AI-based troubleshooting, and contribute to internal tooling and training programs to scale support capabilities
Mentor and lead a team of specialists, fostering a customer-obsessed mindset and building a scalable, knowledge-driven support model

Skills

Key technologies and capabilities for this role

DICOMdcmdumpDCMTKGDCMRadiAnt3D SlicerC-FINDC-MOVEC-STOREC-ECHOWiresharkTCPDumpHL7PACS

Questions & Answers

Common questions about this position

What experience level is required for this Lead Technical Support Engineer role?

The role requires 10+ years of experience working with PACS, DICOM, and radiology workflows, plus 5+ years mentoring and managing team members in a technical or support capacity.

What key technical skills are needed for this position?

Candidates need in-depth knowledge of DICOM standards, file structures, and transfer syntaxes; proficiency with DICOM viewers and tools like dcmdump, DCMTK, GDCM; experience with DICOM network services (C-FIND, C-MOVE, C-STORE, C-ECHO); and familiarity with Wireshark, TCPDump, HL7, and AWS services.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What leadership responsibilities does this role involve?

The role includes mentoring and leading a team of specialists, fostering a customer-obsessed mindset, building a scalable support model, and collaborating with cross-functional teams across engineering, support, and product.

RapidAI

AI software for vascular condition detection

About RapidAI

With a pivotal role in enhancing clinical decision-making, this company offers a robust AI-driven platform that assists in detecting and managing severe vascular and neurovascular conditions. Leveraging intelligence from over 10 million scans, it empowers healthcare professionals in more than 2,000 hospitals to make quicker, more informed decisions. Working here not only places you at the forefront of medical technology partnerships but also within a culture dedicated to impactful innovation and elevated patient care.

Menlo Park, CaliforniaHeadquarters

2012Year Founded

$97.7MTotal Funding

SERIES_CCompany Stage

AI & Machine Learning, HealthcareIndustries

201-500Employees