Senior Robotics Software Engineer, Simulation

About the role

We are seeking a Senior Robotics Software Engineer, Simulation to build and own our simulation platform. Our machines work in orchards, vineyards, and bedded crops, in changing light and weather, and across several vehicle form factors. Field time is expensive, slow, and seasonal.

Simulation is how we close that gap: it is where every software release is regression-tested, where field failures are reproduced and fixed, and where we generate synthetic data to train our perception models. This role owns that platform end to end, from vehicle, sensor, and environment models to the CI pipelines and metrics that tell us whether a change is safe to ship.

Above all, we care that what passes in simulation also works in the field. The ideal candidate is a pragmatic robotics engineer who is comfortable from physics and rendering up to CI infrastructure, and who treats "we can only find out in the field" as a bug.

What you'll do

• Build and maintain simulation environments that model real field conditions, including orchards, vineyards, bedded crops, uneven terrain, and variable lighting and weather.
• Own the interface between the simulator and our ROS 2 autonomy stack, and build SIL and HIL frameworks that run the full stack (perception, planning, and controls) in closed loop.
• Turn field logs into simulation: replay recorded drives, reproduce field failures as regression scenarios, and grow a scenario library that covers the edge cases our machines actually encounter.
• Create and maintain sensor models (cameras, GNSS/RTK, IMUs, LiDAR), including noise and failure modes, calibrated against real hardware.
• Model vehicle dynamics and terrain interaction for multiple robot form factors, using system identification against real vehicle data.
• Build automated scenario generation, evaluation metrics, and reporting, so every change to the autonomy stack is tested in simulation in CI before it reaches a machine.
• Keep simulation fast, deterministic, and reproducible, and measure how well simulation results predict real-world behavior.
• Generate synthetic data for perception training, working with the ML team on domain randomization and generative methods.
• Work with the perception, controls, and platform teams to define simulation requirements and prioritize the sim-to-real gaps that matter most.

Qualifications

• Strong computer science fundamentals and systems fluency
• Bachelor's, Master's, or PhD in Computer Science, Robotics, or a related field, with 5+ years of industry experience in robotics software engineering and a significant focus on simulation
• 2+ years building SIL, HIL, or closed-loop evaluation systems used in production
• Strong proficiency in C/C++ and Python, and the ability to read and debug a large existing codebase
• Experience building simulation environments with platforms such as NVIDIA Isaac Sim, MuJoCo, Gazebo, or similar
• Familiarity with physics engines (PhysX, Bullet, MuJoCo, oration
• Deep understanding of ROS 2
• Experience integrating simulation into CI/CD pipelines for
• A pragmatic approach to engineering: you choose the simplest model that answers the question and avoid over-engineering
• Strong debugging, testing, and problem-solving skills, withendently and collaboratively

Exceptional Candidates Will Also Bring

• Rust programming experience
• Exposure to agricultural, construction, or off-road robotics
• Experience with digital twins or synthetic data generation
• Experience using world models (e.g., NVIDIA Cosmos or similar generative video models) for synthetic data generation or scenario augmentation
• Experience with neural reconstruction (3D Gaussian Splattinon scenes from real sensor data
• Familiarity with USD/OpenUSD scene formats
• Experience with sim-to-real transfer techniques (domain ranication)
• GPU-accelerated rendering or ray tracing for camera simulation
• Experience with NVIDIA Jetson or other embedded deployment

Work-life Balance

The best employees are those who create balance in their lives, which is why we prioritize balance and well-being for everyone at Bonsai. We foster a supportive environment where teammates look out for each other.

Covered Lunch

On in-office days, we've got lunch covered. It's a small thing that makes a big difference, with more time to connect with teammates and less to worry about.

Wellness and Benefits

Your health matters. We offer comprehensive health insurance (medical, dental, vision), mental health support, and wellness programs designed to help you thrive both physically and mentally.

Collaborative Culture

• At Bonsai, you're not just part of a team, you're part of a community.
• We celebrate wins together, support each other through challenges, and genuinely enjoy the people we work with.
• From team events to cross-functional collaboration, we're building something together.

Mission-driven Work

Every day, you're contributing to advancements in robotics that matter. If you're excited about innovation and impact, you'll find it here.