דרושים » הנדסה » Robotic Startup Specialist

We are seeking talented individuals that are eager to use all their skills and competencies to quickly deploy our ground-breaking robotic assisted surgical therapies to patients, surgeons and hospitals in several countries in Europe, the Middle East and Africa (EMEA).
Responsibilities may include the following and other duties may be assigned:
As a start-up specialist you will be responsible for the successful integration of our HUGO RAS-system into a hospital. This might be an expansion of a current robotic surgery program, the creation of a new robotic surgery program or a shift from another platform to our HUGO RAS-system. The main activities of a start-up specialist include:
Meet with the robotic program stakeholders and develop program goals and metrics for HUGO RAS-system. Conduct regular program review meetings to remain on-track.
Develop a surgeon training plan, coordinate attendance at Medtronics off-site training and arrange for proctored cases post-training as needed.
Develop a training plan to support staff to include attendance at a Medtronic off-site training class and support staff through their learning curve.
Support the technology adoption by attending to cases during a surgeon and staff members learning sessions.
Utilize change management techniques to engage clinical stakeholders and attain buy-in.
Coach hospitals staff to promote skill transfer and achieve self-sufficiency in operational excellence.
Cooperate with Medtronic field service engineer (FSE) and the hospital staff to prepare the operating room to host the HUGO RAS-system.

We are seeking talented individuals that are eager to use all their skills and competencies to quickly deploy our ground-breaking robotic assisted surgical therapies to patients, surgeons and hospitals in several countries in Europe, the Middle East and Africa (EMEA).
Responsibilities may include the following and other duties may be assigned:
As a start-up specialist you will be responsible for the successful integration of our HUGO RAS-system into a hospital. This might be an expansion of a current robotic surgery program, the creation of a new robotic surgery program or a shift from another platform to our HUGO RAS-system. The main activities of a start-up specialist include:

Meet with the robotic program stakeholders and develop program goals and metrics for HUGO RAS-system. Conduct regular program review meetings to remain on-track.

Develop a surgeon training plan, coordinate attendance at Medtronics off-site training and arrange for proctored cases post-training as needed.

Develop a training plan to support staff to include attendance at a Medtronic off-site training class and support staff through their learning curve.

Support the technology adoption by attending to cases during a surgeon and staff members learning sessions.

Utilize change management techniques to engage clinical stakeholders and attain buy-in.

Coach hospitals staff to promote skill transfer and achieve self-sufficiency in operational excellence.

Cooperate with Medtronic field service engineer (FSE) and the hospital staff to prepare the operating room to host the HUGO RAS-system.

In this role, you will join a world-class team of engineers within the Surgical Operating unit responsible for developing medical devices that focus on lung cancer diagnosis.
Our Surgical Operating Unit is one new, powerful operating unit bringing together the people and product portfolio of Surgical Robotics and Surgical Innovations. With our Mission as our North Star, we will build on our legacy of proven surgical solutions and advance the promise of robotics and digital solutions to benefit our customers and patients.
Make your impact by exploring a career with the worlds leading Medical Device company, striving to alleviate pain, restore health, and extend life.

We are seeking a highly qualified and detail-oriented Software Verification Engineer to join our software verification team. This position involves verification and integration of complex, multidisciplinary medical systems. The role requires direct collaboration with cross-functional teams, including software, algorithm, and hardware engineering, to ensure the system meets all functional and performance requirements.

Responsibilities may include the following and other duties may be assigned:
Designing and executing SW verification activities: Proactively identify gaps in performance, accuracy, and quality across the software and algorithmic components of the system. Develop and prioritize test strategies based on risk, impact, and business needs. Create comprehensive test plans to validate functionality, accuracy, and performance.
Automation and continuous improvement: Contribute to the development and expansion of automated testing solutions. Continuously look for ways to improve test efficiency, coverage, and reliability by adopting new tools, scripting approaches, and creative testing methods.
Performing script-based testing: Develop and maintain test scripts to automate and enhance testing processes using Python, MATLAB, or other tools.
Collaborating with cross-functional teams: Work closely with cross-functional teams, including software, algorithm, hardware engineering, quality, and regulatory, to ensure successful testing outcomes.

In this role, you will join a world-class team of engineers within the Surgical Operating unit responsible for developing medical devices that focus on lung cancer diagnosis.
Our Surgical Operating Unit is one new, powerful operating unit bringing together the people and product portfolio of Surgical Robotics and Surgical Innovations. With the Mission as our North Star, we will build on our legacy of proven surgical solutions and advance the promise of robotics and digital solutions to benefit our customers and patients.
Make your impact by exploring a career with the worlds leading Medical Device company, striving to alleviate pain, restore health, and extend life.

We are seeking a highly qualified and detail-oriented Software Verification Engineer to join our software verification team. This position involves verification and integration of complex, multidisciplinary medical systems. The role requires direct collaboration with cross-functional teams, including software, algorithm, and hardware engineering, to ensure the system meets all functional and performance requirements.
Responsibilities may include the following and other duties may be assigned:
Technical leadership: Serve as a technical leader within the verification team, providing guidance, reviewing test approaches and deliverables, and mentoring less-experienced engineers.
Independence: Demonstrated ability to independently lead complex verification initiatives, make sound technical decisions, and drive issues to resolution.
Designing and executing SW testing strategies: Proactively identify gaps in performance, accuracy, and quality across the software and algorithmic components of the system. Develop and prioritize test strategies based on risk, impact, and business needs. Create comprehensive test plans to validate functionality, accuracy, and performance.
Continuous improvement of testing processes: Identify process improvement opportunities by implementing new tools and optimizing methods.
Performing script-based testing: Develop and maintain test scripts to automate and enhance testing processes using Python, MATLAB, or other tools.
Collaborating with cross-functional teams: Work closely with cross-functional teams, including software, algorithm, hardware engineering, quality, and regulatory, to ensure successful testing outcomes.

We are looking for an experienced clinician to serve as the medical voice inside our AI organization. In this role, you will work shoulder-to-shoulder with AI researchers, product managers, clinical managers, and external partners to shape clinical AI products that are safe, useful, and genuinely valuable to patients and care teams.

You will act as the bridge between medicine and AI research - bringing deep clinical judgment to the design, evaluation, and continuous improvement of AI systems that touch real patient care. This is a hands-on, cross-functional role for someone who is as comfortable dissecting a model's clinical failure modes as they are defining the next product opportunity.

What you'll be doing
Partner directly with AI researchers as the resident domain expert, contributing clinical insight throughout the development of innovative clinical AI products - from framing the problem to validating the solution.
Design and lead the clinical evaluation of AI products, defining what "good" looks like from a medical standpoint and rigorously assessing model outputs for safety, accuracy, and real-world clinical value.
Serve as the medical product owner, working alongside product managers, clinical managers, the CMO, and external partners to identify unmet needs, surface gaps, translate clinical requirements into product specifications, and derive new features from them.
Ground product and research decisions in clinical reality, ensuring that what we build fits how medicine is actually practiced and improves outcomes for patients and clinicians.
Communicate clearly across disciplines - translating clinical nuance for technical teams and technical trade-offs for clinical and business stakeholders.