Gatik

Senior/Staff Simulation Integration Engineer

Mountain View, CA
ROS2 C++ Python Linux Docker LiDAR Camera Radar IMU MCAP TF2
Description

Senior/Staff Simulation Integration Engineer

Location: Mountain View, CA

Department: Robotics and Autonomy

Who we are

Gatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply chain with its autonomous transportation-as-a-service (ATaaS) solution and prioritizing safe, consistent deliveries while streamlining freight movement by reducing congestion. The company focuses on short-haul, B2B logistics for Fortune 500 retailers and in 2021 launched the world’s first fully driverless commercial transportation service with Walmart. Gatik's Class 3-7 autonomous trucks are commercially deployed across major markets, including Texas, Arkansas, and Ontario, Canada, driving innovation in freight transportation. 

The company's proprietary Level 4 autonomous technology, Gatik Carrier™, is custom-built to transport freight safely and efficiently between pick-up and drop-off locations on the middle mile. With robust capabilities in both highway and urban environments, Gatik Carrier™ serves as an all-encompassing solution that integrates advanced software and hardware powering the fleet, facilitating effortless integration into customers' logistics operations. 

About the role

We are building a high-scale, web-based simulation platform designed to validate autonomous systems. We have an R&D team producing AI/ML models and a Senior Full-Stack Engineer building the platform interface. We are seeking a Simulation Integration Engineer to be the critical technical link between these two teams. Your role is to ensure that the autonomy stack runs reliably within a virtual environment, creating the complex testing scenarios and ROS2 infrastructure required to stress-test our AI models.

This is a "Sim-to-Stack" orchestration role. While you won't be deploying to physical hardware, you are responsible for ensuring the virtual world provides high-fidelity data to the
autonomy stack and correctly captures the model's performance

This role is onsite 5 days a week at our Mountain View, CA office!

What you'll do

  • ROS2 Stack Integration: Develop and maintain the ROS2 middleware layers (C++/Python) that allow AI models to receive sensor data and send control commands within the simulation.
  • Scenario Engineering: Script and implement dynamic testing scenarios (e.g., traffic interactions, pedestrian behavior, triggered events) using Python or simulator-specific APIs.
  • Sensor Simulation: Configure and tune simulated sensor suites (LiDAR, Camera, Radar, IMU) to provide realistic data streams for the AI models.
  • Bridge Development: Collaborate with our Senior Full-Stack Engineer to ensure simulation states and "Success/Failure" metrics are correctly streamed to our web-based dashboard.
  • Headless Orchestration: Ensure simulations can run in "headless" mode within Docker containers for automated, large-scale cloud testing.
  • Data Logging: Manage the serialization of ROS2 messages (MCAP/Bag files) for post-simulation analysis and playback.

What we're looking for

  • Expertise in ROS2: Mastery of ROS2 (Humble, Foxy, or Jazzy), including node composition, custom message types, and QoS configuration.
  • Programming: High proficiency in Python 3.x (for scenario logic) and Modern C++ (for performance-critical nodes).
  • Simulation Platforms: Proven experience with at least one major simulator (e.g., CARLA, Gazebo, NVIDIA Isaac Sim, or SVL).
  • Scenario Logic: Experience building event-driven logic and "adversarial" agent behaviors within a simulated environment.
  • Linux & Docker: Strong experience in Ubuntu-based development and containerizing robotics stacks for deployment.
  • Systems Thinking: Ability to debug complex timing and synchronization issues between a simulator and a distributed ROS2 stack.

Bonus Qualifications

  • Experience with automated testing frameworks for robotics.
  • Understanding of coordinate frames (TF2) and spatial transformations.
  • Knowledge of CI/CD pipelines for automated simulation runs.  

Salary Range - $170,000- $240,000

More about Gatik

Founded in 2017 by experts in autonomous vehicle technology, Gatik has rapidly expanded its presence to Mountain View, Dallas-Fort Worth, Arkansas, and Toronto. As the first and only company to achieve fully driverless middle-mile commercial deliveries, Gatik holds a unique and defensible position in the AV industry, with a clear trajectory toward sustainable growth and profitability.

We have delivered complete, proprietary AV technology - an integration of software and hardware - to enable earlier successes for our clients in constrained Level 4 autonomy.  By choosing the middle mile – with defined point-to-point delivery, we have simplified some of the more complex AV challenges, enabling us to achieve full autonomy ahead of competitors. Given extensive knowledge of Gatik’s well-defined, fixed route ODDs and hybrid architecture, we are able to hyper-optimize our models with exponentially less data, establish gate-keeping mechanisms to maintain explainability, and ensure continued safety of the system for unmanned operations.

Visit us at Gatik for more company information and Careers at Gatik for more open roles.

Notable News

Taking care of our team

At Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environment’s sustainability. We are diverse in our backgrounds and perspectives yet united by a bold vision and shared commitment to our values. Our culture emphasizes the importance of collaboration, respect and agility.

We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

 

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