Staff Robotics Software Engineer, Diligent Robotics
Verification & Validation
+ Equity
AI-powered robots for patient care teams
Open for applications
AI-powered robots for patient care teams
201-500 employees
Open for applications
+ Equity
201-500 employees
Company mission
To create robot assistants that help healthcare workers with routine tasks so they can focus on what they do best: patient care.
Role
Who you are
- BS, MS, or PhD in Computer Science, ECE, Robotics, or a related field
- 5+ years of experience in test automation development
- Strong understanding of QE & software development
- Experience with ROS and ROS2
- Proficiency in C++ and Python
- Experience with Docker
- Experience with simulation tools such as Gazebo, WeBots, etc
- Strong understanding of QA Best Practices
- Good troubleshooting skills
- Excellent communication skills
- Collaborates well in a team environment
- Flexibility and the ability to quickly adapt to changes in project scope
- Excellent coding and testing habits
Desirable
- Experience with CI/CD pipelines
- Experience with ELK
- Experience with cloud computing, Robomaker
What the job involves
- Diligent Robotics is hiring for a Staff Robotics SWE, Verification & Validation to spearhead the development of testing automation, processes and procedures to ensure Moxi is working as reliably as possible
- The work will be fast-paced and you should love the challenge of tackling new problems that will arise
- You will need to get your hands dirty and dive head first to develop regression testing suites, identify and establish key test metrics, and enhance Diligent’s ability to ensure reliability of our product
- You will help build robots that manipulate objects and navigate in human environments in a way that is safe, robust, and socially acceptable
- This position is located at our HQ in Austin, TX and you must be local or open to relocate to be considered
- Provide technical vision and leadership for increasing reliability and availability of our robotic fleet (~100 robots and growing)
- Build dashboards and alerting to give high visibility into issues per-customer, per-bot, and per-site-feature (e.g. each elevator stack) so that we know about problems before the customer does
- Teach engineers without deep V&V experience how to design for reliability and visibility
- Build test tools and frameworks to reduce regression testing effort and time
- Write code to improve the overall testability and diagnostics of our robots' software
- Design test cases (manual and automated) and accurately report the coverage and findings
- Support simulation tool development for a robot navigating a hospital environment
- Automate stress tests of software modules and algorithms across multiple simulated variables, and collect data and analytics to feed this effort
- Unlock new ways of prototyping and algorithm development with parallelization and optimization within simulations
Our take
Healthcare workers do everything they can to provide high-quality care to patients, but the high-pressure work environment can make this difficult. Whilst in-person care is their most important job, different scenarios will require workers to constantly fetch different medical items for patients, increasing job pressure and restricting the time workers have to spend with patients.
Diligent Robotics develops AI-powered robots for patient care teams called Moxi that can fetch, store, and deliver items needed within healthcare facilities. The robots have specialized storage compartments for sensitive medical materials and can safely navigate through elevators, security doors, automatic doors, and other existing infrastructure.
Whilst AI is becoming more prevalent in the healthcare industry, Diligent Robotics has taken a bold move to develop AI-driven robots that tackle the constant frustrations of item fetching that workers face, allowing them to focus more on providing in-person care to patients.
Freddie
Company Specialist at Welcome to the Jungle
Insights
70% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Sep 2023
$25m
LATE VC
Apr 2022
$30m
SERIES B
Total funding: $70.9m
Company benefits
- A collaborative and mission-driven team working on challenging problems that promise to radically change the future of healthcare
- Competitive health plan coverage for individuals and dependents
- Experience working with some of the leading experts in human-robot interaction
- A positive and supportive working environment in Austin, TX
Company HQ
North Side, Austin, TX
Leadership
Andrea L. Thomaz
(CEO)Associate Professor for the Socially Intelligent Machines at the Georgia Institute of Technology from 2007 to 2016, and in Electrical and Computer Engineering for The University of Texas at Austin since 2016.
Vivian Chu
(CTO)Experience as User Experience Researcher at Google X (Project Wing). Graduate Research Assistant for the Georgia Institute of Technology from 2013 to 2017.
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