Develop and own the tele-operated motion performance of robotic surgical instruments, ensuring motion fidelity and safety through rigorous technical analysis and collaboration across clinical, mechanical, and manufacturing teams.
Compensation
We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.
Responsibilities
Develop and own the tele-operated motion performance of robotic surgical instruments
Work closely with clinical development team to understand performance requirements
Work closely with mechanical design team to optimize mechanism for motion fidelity
Use analysis and experimentation to develop deep understanding of instrument mechanism behavior
Modify and tune algorithms to optimize motion fidelity and ensure consistent performance in clinical environment
Requirements
PhD in robotics-related field
MS in robotics-related field
Nice to have: Knowledge of Python
Nice to have: Basic SQL
Nice to have: Knowledge of statistics and probabilistic reasoning
Develop, deploy, and maintain monitoring, alerting, and observability tools for Livermore Computing’s high-performance computing clusters, storage systems, networks, and data center facilities.
Compensation
$121,830 - $185,544 annually
$121,830 - $154,500 annually for SES.1 level
$146,340 - $185,544 annually for SES.2 level
Responsibilities
Develop, deploy, configure, and maintain monitoring, alerting, and observability tools for LC HPC clusters, storage systems, high-speed networks, and data center facility infrastructure.
Create and maintain software tools and processes that streamline alarm response, diagnostics, and routine operational tasks.
Configure and integrate data from building management and facility systems, such as power and cooling, with HPC system monitoring to provide a unified operational view.
Share alarm response and monitoring duties with operations staff, and analyze, diagnose, and resolve hardware, software, network, and facility problems of limited complexity.
Participate in the deployment, testing, and validation of new HPC systems and components, and the decommissioning of retired systems.
Requirements
Bachelor’s degree in computer science, computer engineering, or related field or the equivalent combination of education and related experience.
Software Developer within the Computing Directorate, matrixed to the Security & Protection (S&P) Program, developing and maintaining the Argus security system and related physical security hardware and software.
Compensation
$146,340 - $222,564 Annually
146,340 - $185,544 Annually at the SES.2 level
175,530 - $222,564 Annually at the SES.3 level
Responsibilities
Collaborate in the development and implementation of moderately complex software engineering methods using industry standard software development practices and modern programming languages and operating systems.
Participate in the requirements definition, analysis, design, implementation, debugging, testing, and optimization of computer programs on workstations.
Contribute to the fulfillment of technical projects and organizational objectives functioning as an effective team member on multi-disciplinary teams.
Interact with fellow developers, management, and sponsors frequently to share relevant knowledge, opinions, and recommendations.
Provide swift, creative technical solutions to moderately complex user requests and critical operational requirements.
Requirements
Bachelor’s degree in computer science
computer engineering
related technical field
Nice to have: Master’s degree in computer science or computer engineering
Lead human-robot interaction research and design for Intuitive’s robotic systems, instruments, and accessories, translating scientific evidence into product requirements and usability strategies.
Responsibilities
Apply deep expertise in robotics, HRI, and mixed-methods research to identify unmet user needs and performance limitations
Generate actionable design insights that shape product strategy and influence development priorities
De-risk design strategies focused on human performance, workflow, and usability factors
Serve as the human factors lead for complex initiatives, partnering with engineering, product management, quality, and regulatory teams
Lead the definition and management of usability design inputs across robotic systems, instruments, and accessories
Requirements
Minimum post-graduate degree in Mechanical Engineering, Computer Science, Biomedical Engineering, Bioengineering, Psychology, Neuroscience, Biomechanics with emphasis on Human-Robotic Interactions
Support data science and analytics initiatives across Global Operations, minimizing supply chain risk and optimizing manufacturing operations.
Compensation
We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.
Responsibilities
Support data science and analytics initiatives across Global Operations under the guidance of senior team members
Help translate well-defined business questions into analytical approaches with support from senior Data Scientists
Apply statistical methods and machine learning techniques to company data to generate insights
Build and maintain reports, dashboards, and data products using the R and/or Python ecosystem
Work with Snowflake and SQL to source, transform, and analyze datasets
Requirements
Minimum Quantitative Bachelor’s degree (Statistics, Computer Science, Math, Data Science or Similar) or equivalent professional experience
Nice to have: Advanced degree in Statistics, Computer Science, Math, Data Science or Similar
This role contributes to the Product Security Team and product development groups by designing, building, and maintaining security solutions and features for current and next-generation surgical robotic systems and manufacturing processes.
Responsibilities
Design, develop, and implement security solutions and features for products and manufacturing processes.
Collaborate with security analysis and implementation teams to validate security requirements and mitigations are correctly implemented.
Contribute to OS security hardening across embedded platforms, covering kernel patching, access control policies, filesystem protections, and reducing attack surface at the system level.
Apply network security principles to medical device architectures, including secure communication protocols, network segmentation, and interface hardening.
Design and implement security features across embedded platforms including Yocto Linux and QNX.
Design, develop, and implement software solutions for equipment that builds and tests medical devices such as robotic systems, instruments, and accessories; build and maintain software infrastructures; analyze and optimize manufacturing processes; develop software for diagnostic strategy; support and enhance existing production software.
Responsibilities
Design, develop, and implement software solutions for equipment that builds and tests medical devices such as robotic systems, instruments, and accessories
Build and maintain software infrastructures that enable value extraction from the data generated
Analyze and optimize manufacturing processes to improve efficiency, reduce costs, and enhance productivity
Understand products’ operations and controls, and develop the means to ensure their integrity in volume production
Document, direct and perform IQOQPQ and DQ validation activities on manufacturing equipment
Requirements
Bachelor’s or master’s in engineering (Software Engineering or Computer Science preferred)
Nice to have: Strong analytical and structured problem-solving skills
Nice to have: Scalable production quality software systems
Nice to have: Software Development Life Cycle (SDLC)
Forward Deployed Engineer responsible for deploying and prototyping AI-powered asset management solutions across customer environments, driving value and product adoption.
Compensation
Salary Range: $145,000 to $180,000 USD annually + bonus
Responsibilities
Work alongside Solutions Consultants and Account Executives on strategic accounts
Own discovery, technical scoping, architecture, implementation, evaluation, productionization, adoption, and handoff for strategic customer solutions