Top Tech Jobs & Startup Jobs

Lead thermal and structural modeling for next-generation robotic-assisted surgery systems. Create FEA and modal models, develop thermal budgets for displays and PCBs, support design verification/testing, troubleshoot failures, and collaborate with cross-functional teams and suppliers to produce manufacturable electro-mechanical designs.

Lead high‑impact data science initiatives across Global Operations, building production‑grade analytics, models, and dashboards (primarily in R), using Snowflake and Posit platforms, applying advanced statistics, ML, and LLM techniques, mentoring junior staff, and presenting insights to senior leadership to reduce supply chain risk and optimize manufacturing.

Drive utilization and sales of the da Vinci Surgical System by developing territory strategies, training OR staff and surgical teams, supporting sales and marketing events, generating qualified leads, and managing sales administration and reporting.

Lead integration and optimization of GPU-accelerated ML for robotic systems: profile and tune models and kernels, design software interfaces across edge, firmware, OS, and cloud, develop Linux kernel and driver components, build containerized GPU runtimes, drive system architecture and roadmaps, and collaborate cross-functionally to deliver validated, high-performance medical device solutions.

Lead a global team of Salesforce business analysts and admins to develop and optimize commercial systems. Own roadmap, prioritize enhancements, deliver incidents/bugs/features, establish SLAs and dashboards, drive adoption and ROI, partner with IT and stakeholders, and grow team capabilities.

Manage and grow da Vinci surgical system adoption across integrated delivery networks by creating clinical and commercial strategies, training surgeons and residents, conducting clinical/economic value analyses, negotiating regional and group sales, and building executive-level relationships. Requires extensive travel to customer sites to drive clinical and capital business.

Manage, maintain, and support global logistics and supply-chain applications (primarily SAP). Lead an applications team, set SLAs, manage vendors and resources, drive change management, prioritize capabilities, and hire/coach staff to improve application performance and scalability.

Partner with business leaders and COEs to deliver high-touch HR support, resolve complex employee relations issues, lead recurring HR processes, coach senior management, drive talent and performance programs, support organizational transformations, and use data to inform HR solutions across a global, manufacturing environment.

Review customer revenue and lease contracts for ASC 606/842 compliance, partner with Commercial/Contracts to structure scalable deals, resolve data gaps between contracts and systems, support revenue automation implementations and testing, and improve processes to enable accurate downstream revenue recognition.

Design, build, and maintain production MLOps infrastructure: Kubernetes clusters, ML orchestration, GPU validation, storage and CI/CD integration, migrations, runbooks, on-call incident response, and security/compliance collaboration to support reproducible ML workflows at scale.