Principal Robotics Engineer - Advanced Automation & Systems Integration
Apply NowCompany: Vivodyne
Location: Brisbane, CA 94005
Description:
Human data before the clinic
Vivodyne accelerates the successful discovery, design, and development of human therapeutics through the convergence of novel biology, robotics, and AI. Our platform enables customers to massively de-risk drug candidates by testing them against functional, lab-grown, human organs and multi-organ systems. We conduct preclinical discovery and clinical development campaigns to generate new therapeutics and clinical strategies from these proprietary, physiologically-realistic human organ tissues at unprecedented scale, speed, and quality through automation and machine learning. We're financially backed by some of the most selective and successful venture funds, and several "top 10" global pharmaceutical innovators have already partnered with us to strengthen and speed their therapeutic pipelines.
To learn more visit us at www.vivodyne.com.
Role
As a Robotics Engineer at Vivodyne, you will be part of a multi-disciplinary team pushing the boundaries of automated, large-scale "organ-on-a-chip" robotics and related manufacturing systems. Your focus will be on developing and optimizing hardware and software that orchestrates robotic arms, embedded controllers, and microfluidic systems to enable high-throughput, high-precision biological workflows.
This role requires expertise across hardware and software, from high-level motion control and machine vision to robotics programming and embedded firmware. You'll work extensively with existing Python (less so with, C#, and C++) codebases, ensuring seamless system integration and performance.
Collaboration is key-you'll engage with mechanical engineers, biologists, immunologists, AI scientists, and process engineers to design and refine automation workflows that drive breakthroughs. We're looking for a problem solver comfortable working across multiple domains, thriving in a fast-paced, high-innovation environment that values continuous learning and technical excellence.
This is a full-time, onsite role in San Francisco, where you'll be designing, building, and testing some of the most advanced automation and high-throughput biology systems in the world.
Responsibilities
Requirements, Expectations and Qualifications
Technical Expertise & Knowledge
If you're excited about revolutionizing automation in organoid engineering and biotech-while pushing the boundaries of robotics, AI, and advanced systems-let's connect! Please submit your resume and a brief statement of interest. We look forward to exploring the opportunity together.
San Francisco pay range
$245,000-$270,000 USD
Vivodyne accelerates the successful discovery, design, and development of human therapeutics through the convergence of novel biology, robotics, and AI. Our platform enables customers to massively de-risk drug candidates by testing them against functional, lab-grown, human organs and multi-organ systems. We conduct preclinical discovery and clinical development campaigns to generate new therapeutics and clinical strategies from these proprietary, physiologically-realistic human organ tissues at unprecedented scale, speed, and quality through automation and machine learning. We're financially backed by some of the most selective and successful venture funds, and several "top 10" global pharmaceutical innovators have already partnered with us to strengthen and speed their therapeutic pipelines.
To learn more visit us at www.vivodyne.com.
Role
As a Robotics Engineer at Vivodyne, you will be part of a multi-disciplinary team pushing the boundaries of automated, large-scale "organ-on-a-chip" robotics and related manufacturing systems. Your focus will be on developing and optimizing hardware and software that orchestrates robotic arms, embedded controllers, and microfluidic systems to enable high-throughput, high-precision biological workflows.
This role requires expertise across hardware and software, from high-level motion control and machine vision to robotics programming and embedded firmware. You'll work extensively with existing Python (less so with, C#, and C++) codebases, ensuring seamless system integration and performance.
Collaboration is key-you'll engage with mechanical engineers, biologists, immunologists, AI scientists, and process engineers to design and refine automation workflows that drive breakthroughs. We're looking for a problem solver comfortable working across multiple domains, thriving in a fast-paced, high-innovation environment that values continuous learning and technical excellence.
This is a full-time, onsite role in San Francisco, where you'll be designing, building, and testing some of the most advanced automation and high-throughput biology systems in the world.
Responsibilities
- Architect, design, and implement advanced automation systems, ranging from automated microfluidic manufacturing to high-precision mammalian cell culture platforms-all of which are mission-critical and highly visible both internally and externally.
- Develop hardware and software systems that acquire and process data reliably, ensuring smooth handoffs to production through rigorous documentation, data acquisition, and analysis.
- Embrace the dynamic nature of a rapidly growing startup, working across multiple projects and disciplines-one month, you might be programming a 6DOF robotic arm repeatability to within tens of microns; the next, you could be developing firmware for a custom microfluidics cell expansion module.
- Collaborate cross-functionally with Product leads, tissue engineers, microfluidics specialists, and AI researchers etc. to gather requirements, set technical objectives, and integrate new features into our robotics platforms.
- Design and implement resilience mechanisms to ensure system robustness, enabling fault detection, fault recovery, and minimal downtime, while maintaining data integrity.
- Proactively identify optimization opportunities, selecting priorities through engineering analysis and data-driven decision-making.
- Communicate progress and findings to internal stakeholders-including mechanical engineers, data scientists, and senior leadership-through data-laden presentations and technical reports.
Requirements, Expectations and Qualifications
Technical Expertise & Knowledge
- Bachelor's degree (M.S. or Ph.D. preferred) in Bioengineering, Mechanical Engineering, Chemical Engineering, or a related field with a focus on microfluidics, tissue engineering, or lab automation at least six years of directly relevant industry experience.
- Broad experience in both hardware and software design for automation, spanning off-the-shelf solutions and custom-built systems-you have developed complex automation workflows for production-level environments.
- Proficiency in key hardware and software tools, including SolidWorks (expert-level, CAM experience is a plus), Python, and at least one additional programming language for systems (C#) or embedded development (C/C++ preferred).
- Strong understanding of process engineering principles and their application in automation workflows (e.g., Control Charts, Pareto analysis).
- Hands-on experience with commonly used automation hardware, such as vision/camera systems (optics and/or optomechanical expertise is a plus), motion control, liquid handling, and pick-and-place robotics.
- Highly knowledgeable in various Manufacturing Technologies, you know how things are made and which approaches fit a particular application
- Industry-specific expertise is highly valued:
- Biotech/lab automation or semiconductor robotics experience is a strong advantage.
- Knowledge of microfluidics and fluid handling systems.
- Biology background or familiarity with cell and tissue engineering concepts is a significant plus, especially in handling biological samples.
- Experience integrating robotics with high-content imaging and confocal microscopy systems, optimizing workflows for advanced imaging pipelines.
- Bonus points for experience with:
- Robotics frameworks like ROS, MoveIt, RViz, and Gazebo.
- Real-time control for industrial robots, particularly Kuka arms.
- You take an outcome-driven approach, translating project goals and technical challenges into systematic, resilient robotics solutions.
- Strong ownership mentality, ensuring the timely delivery of high-reliability features and improvements.
- Growth-oriented, continuously seeking ways to enhance automation processes, optimize robotic operations, and drive innovation.
- A team player, capable of working with engineers, scientists, and external stakeholders to define requirements, refine designs, and communicate project progress effectively.
- Clear communicator, able to explain complex robotics concepts to cross-functional teams, from software engineers to biologists.
- Interdisciplinary mindset, integrating feedback from various fields to develop thoughtful, iterative design improvements.
- Passionate about staying at the cutting edge of robotics, bringing fresh ideas from emerging technologies, best practices, and research to the team.
- Comfortable taking initiative in uncharted territories, whether it's developing new motion-planning algorithms or integrating novel sensors and hardware.
If you're excited about revolutionizing automation in organoid engineering and biotech-while pushing the boundaries of robotics, AI, and advanced systems-let's connect! Please submit your resume and a brief statement of interest. We look forward to exploring the opportunity together.
San Francisco pay range
$245,000-$270,000 USD