Sr. Software Engineer - Simulation / Support

Austin, Texas, United StatesHybridFull TimeSeniorPosted 2 months agoVisa sponsorship available

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Role summary

Diligent Robotics is seeking a Senior Software Engineer specializing in Simulation and Support to enhance engineering effectiveness. This hybrid role involves developing developer tooling, providing software support and triage, and maintaining simulation infrastructure. The engineer will build tools to improve productivity and debugging, develop simulation environments for testing various robotics functions, and integrate simulation into CI pipelines. Responsibilities include creating test harnesses, supporting release readiness through validation and regression testing, and contributing to architectural decisions for maintainability. The role also involves evaluating and integrating third-party simulation frameworks or building custom tools, and mentoring engineers on best practices in testing, debugging, and system design. A degree in a related field and 5+ years of experience in robotics or similar complex systems are required, along with strong C++/Python skills and experience with robotic middleware and simulation environments.

What we’re doing isn’t easy, but nothing worth doing ever is.

We envision a future powered by robots that work seamlessly with human teams. At Diligent Robotics, we build artificial intelligence that enables service robots to collaborate with people and adapt to dynamic, human-filled environments.

Diligent is one of the only companies in the world operating a production fleet of mobile manipulation robots in real environments. Every day, our robots work alongside hospital staff, generating the real-world data needed to advance the next generation of Physical AI. If you’re excited about solving the hardest problems in robotics, where simulation meets real-world deployment, this is the job for you.

As a Senior Software Engineer – Simulation / Support, you will accelerate the effectiveness of our engineering organization. This hybrid role spans developer tooling, software support and triage, and simulation infrastructure. You will help engineers build better software, faster, while strengthening the reliability and debuggability of our robotics stack in production.

You will develop state-of-the-art infrastructure to test and validate Physical AI models, and help bridge the gap between simulation and reality by improving synthetic data and scenario generation with real-world data from our growing fleet of operational robots.

Responsibilities

Design and build tools that improve productivity and debugging across the robotics software stack

Develop and maintain simulation infrastructure used for testing autonomy, navigation, perception, manipulation and system level behaviors

Partner with autonomy, perception, platform, and infrastructure teams to integrate simulation into CI pipelines and validation workflows

Create reproducible test harnesses and simulation scenarios that mirror real world operational edge cases found in our customer environments

Support release readiness by strengthening automated validation, regression testing, and scenario based simulation coverage

Contribute to architecture decisions that improve modularity, testability, and long term maintainability of the codebase

Evaluate and integrate third party simulation frameworks or build custom simulation tooling as needed

Mentor engineers on best practices in testing, debugging, observability, and system design

Basic Qualifications

Undergraduate or graduate degree in Robotics, Computer Science, Electrical Engineering, or related field.

5+ years of professional software engineering experience, ideally in robotics, autonomous vehicles, or other complex cyber physical systems

Strong proficiency in C++ and/or Python

Experience with robotic middleware such as ROS or similar distributed systems frameworks

Experience developing or extending simulation environments, such as Gazebo, Isaac Sim, Mujoco, or custom in house engines

Experience debugging distributed systems and working with real world hardware

Strong understanding of software architecture, systems design, and scalable tooling

Familiarity with CI/CD systems and automated testing frameworks

Comfort working across the stack, from low level systems to higher level autonomy behaviors

Excellent cross functional communication skills and a bias toward pragmatic solution

Ready to apply?

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