Top Tech Jobs & Startup Jobs in Boston, MA

Architects and leads development of secure, high-performance C#/.NET software for embedded Windows medical devices and cloud-connected services. Responsibilities include concurrent application development, database integration, device-to-cloud connectivity, cybersecurity, Azure backend integration, testing, observability, CI/CD, regulatory documentation, and support for medical-device submissions. The role collaborates with systems, hardware, firmware, quality, and regulatory teams; leads design and code reviews; participates in Agile/Scrum planning; and mentors engineers.

Leads systems engineering for a safety-critical surgical robotic platform across its product lifecycle. Defines system architecture, requirements, interfaces, risk management, verification strategies, and design controls. Coordinates hardware, software, controls, mechanical, clinical, quality, manufacturing, and V&V teams. Supports regulatory submissions, reliability, design transfer, product launches, nonconformance investigations, CAPA, and post-market activities while applying MBSE and UML methods.

Leads the design, development, and deployment of Physical AI systems for autonomous laboratory experimentation. Develops world models, adaptive optimization, error diagnosis, scientific agents, robotics integrations, and closed-loop experimentation capabilities. Establishes reliable, safe, governed, and production-ready AI solutions while mentoring colleagues and collaborating with automation, engineering, data science, IT, and drug discovery teams.

Leads the strategy and team developing Physical AI systems for autonomous laboratory experimentation and drug discovery. Builds world models, agentic and multi-agent systems, adaptive optimization, error detection and recovery, and closed-loop learning across laboratory workflows. Partners with robotics, automation, engineering, data science, and scientific teams to deploy reliable, secure, and governed AI systems with uncertainty monitoring and human oversight.

Conducts AI and data science research in healthcare, analyzing wearable sensor, neuroimaging, physiological, behavioral, and clinical data. Develops and validates machine learning models for digital biomarkers, health endpoints, disease progression, severity prediction, and disease subtype discovery. Requires advanced Python or R, predictive modeling, statistical analysis, large-dataset expertise, and current PhD study in a quantitative discipline.

Leads as strategic advisor and integrator to the Worldwide President of Heart Recovery. The role drives enterprise strategy, cross-functional programs, executive business reviews, organizational cadence, regulatory readiness, change management, stakeholder communications, and culture building. It requires deep MedTech knowledge, experience with Class III medical devices and FDA pathways, strong executive communication, and over 10 years of progressive experience.

Lead product cybersecurity for connected heart-recovery medical devices across development and post-market lifecycles. Responsibilities include security architecture, threat modeling, risk assessments, cryptographic controls, secure boot, firmware protection, PKI, vulnerability management, penetration testing, SBOM analysis, secure OTA updates, regulatory submissions, and remediation planning. The role partners with R&D and cross-functional teams to implement secure development practices, embedded protections, cloud and device security, and compliance with medical-device cybersecurity standards.

Conducts market, technology, competitive, customer, and financial analyses to guide digital and robotics innovation opportunities in orthopaedics. Responsibilities include technology scouting, feasibility assessments, business modeling, customer research, AI-enabled market intelligence, KPI development, dashboards, trend reporting, and senior leadership communication. The role also partners with external agencies and supports prioritization of emerging technologies including navigation, robotics, augmented reality, and artificial intelligence.

Summer intern supporting computer vision and multimodal AI research for medical imaging and video. Responsibilities include interviewing clinical stakeholders, identifying business value, developing and evaluating computer vision models, extracting insights from reports, and communicating technical findings. Work covers modalities including endoscopy, ultrasound, X-rays, dermatology images, retinal OCT, and histopathology.

Leads global product security, privacy, and operating system programs for connected medical devices, robotics, and digital surgery products. Owns security strategy, regulatory submission content, vulnerability management, patching, privacy-by-design, audits, customer engagements, and market launches. Manages engineering teams, vendors, budgets, governance, and organizational development while influencing R&D, Quality, Regulatory, Legal, and Enterprise Security stakeholders. Ensures compliance with FDA and global cybersecurity requirements and drives secure development practices, standardization, automation, and risk-based decision-making.