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Added 1 min ago
Senior Staff Software Engineer, Site Reliability Engineering
Google
Mountain View, CA
…systems, building infrastructure and eliminating work through automation. On the SRE team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google,…
Added 1 min ago
Technology Leadership Program - Hybrid (Starting August 2027)
Target Enterprise Inc
NCD-0375 Brooklyn Park, MN
You’ll participate in structured construction, automation, debugging, and implementation activities, ensuring architectural and operational requirements and best practices are met. You will…
Added 1 min ago
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Staff Security Engineer – AI - R01573022
Brillio
Seattle, WA
- $120,000 to $130,000 USD / year
We are looking for an experienced AI Security Engineer who can drive AI and LLM security initiatives, establish security standards, and implement robust technical controls across AI/ML…
Added 1 min ago
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Senior Cloud Security Engineer - R01573020
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NY
- $120,000 to $130,000 USD / year
This role combines cloud security engineering, infrastructure protection, automation, and cross-functional collaboration.
Added 1 min ago
Senior Software Architect - Platform
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AWS and AI engineer
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AWS certification such as AWS Certified Data Engineer – Associate or AWS Certified Solutions Architect.
Added 2 mins ago
Sr. Systems Engineer II
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Added 4 mins ago
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Director of Information Security Engineering
Southern New Hampshire University
Remote, United States
- $129,057 to $206,531 USD / year
…disciplines, including network and cloud security, endpoint and data protection, application security, and security tooling…
Added 7 mins ago
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- $136,000 to $216,000 USD / year
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Added 9 mins ago
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Added 10 mins ago
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Subject Matter Expert (Manufacturing Engineer) - Optics Polishing
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Bonsai Robotics

Senior Robotics Software Engineer, Simulation

San Jose, CA, United States

$180,000 to $215,000 USD / year

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Job details

Pay: $180,000 to $215,000 USD / year
Posting language: English
Posted: Nov 4, 2026

Original job description

About Bonsai Robotics Bonsai Robotics develops affordable, vision-based autonomy that makes off-road equipment smarter, safer, and more productive. We are redefining outdoor autonomy with Bonsai Intelligence, a connected platform that’s inspired by biology to see, think, and act with precision like a human. We bring together advanced perception, embodied AI, integrations with equipment manufacturers, and our compact, modular Amiga vehicles to deliver reliable automation to the world’s most demanding field operations - reducing costs and increasing operational efficiencies.

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

Life at Bonsai Robotics At Bonsai, we're building the future of robotics and we know that means investing in our people. We're committed to creating a workplace where you can do your best work, grow your skills, and feel genuinely part of something bigger. Hybrid Flexibility (for selective roles) We operate on a hybrid model because we believe the best collaboration happens both in person and from where you work best. You'll have the flexibility to split your time between our office and home, so you can stay connected to the team while maintaining the balance that works for you. 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.

Bonsai Robotics is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status or any other category protected by law.

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More about this job

Skills

Robotics
SIL
Reporting
ML
Computer science
Grading systems
C
C++
Python
Gazebo
CI/CD
Debugging
Problem solving
Rust

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