Senior ML Software Engineer – Path Planning, Dynamics, and System Architecture

Company description:

BH Frontier Solutions Inc. is a venture-backed fast-growing agricultural robotics company that is currently transforming the technological landscape in agriculture. We specialize in designing and manufacturing agricultural robots that leverage frontier technology and AI research to tackle significant issues in agriculture. We apply artificial intelligence, perception, electrification technology, and robotics that enable data-driven agricultural management and precision treatment, and help growers to build a fully autonomous, efficient and sustainable farming system.

We would like to invite the smartest and most committed engineers, scientists, agricultural experts, and technologists, who united around the mission to drive the next Agtech revolution, to join us.

Summary:
We are seeking a highly skilled Senior Software Engineer with expertise in path planning, optimization, and system architecture to join our advanced robotics development team. The ideal candidate will have hands-on experience in Model Predictive Control (MPC), real-time robotic operations, system architecting, and computer vision, along with the ability to design and integrate complex robotic software systems from concept to deployment.

Responsibilities:

• Design, implement, and optimize path planning algorithms for dynamic and unstructured environments.
• Develop Model Predictive Control (MPC) and optimization-based motion control frameworks for real-time robotic operation.
• Conduct performance validation, simulation, and field testing to ensure real-world reliability and safety.
• Lead system architecture design for autonomy software stacks — integrating planning, perception, and control modules into scalable and maintainable frameworks.
• Produce computationally efficient software that can meet real-time requirements
• Balance hands-on development, code reviews, and research to achieve product-driven milestones in a fast-paced startup environment.
• Debug complex interactions between hardware and software in real-world conditions.
• Participate in on-machine testing, including occasional travel to the field to experience the product in its intended use.

Qualifications:

Required skills:

• 3+ years of software engineering experience in robotics, autonomous vehicles, or related fields
• Strong foundation in path planning algorithms (e.g., A*, D*, RRT, RRT*, lattice-based, or graph based methods).
• Deep understanding of MPC, trajectory optimization for manipulation tasks, and control theory.
• Proven experience in system identification and dynamics modeling for robotic systems.
• Hands-on experience with system architecting for robotic or autonomous systems.
• Programming proficiency in Python, C++, or MATLAB, with solid software engineering practices.
• Familiarity with ROS/ROS2 for integrating planners, controllers, and perception modules.
• Knowledge of real-time systems for robotics operations.
• Understanding of Docker, containerization, and deployment processes.
• A strong understanding of software engineering development practices (git, CI/CD)
• Extensive experience with robotic waypoint generation, path planning, and trajectory optimization.
• Previous experience in robotics, autonomous systems, or high-growth startups.
• Bachelor's, Master's, or Ph.D. in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related discipline.

Preferred skills:

• Experience working across the entire software lifecycle, encompassing requirements, design, development, testing, code review, documentation, and deployment.
• Experience with robot arms, calibration, real-time sensor fusion (e.g. IMU, lidar, camera, odometry, radar), and state estimation.
• Exposure to simulation tools such as Gazebo, Isaac Sim, or Webots.
• Familiarity with optimization libraries (CasADi, Ceres, Gurobi, IPOPT) or GPU acceleration (CUDA).
• Strong understanding of embedded systems and real-time computing.
• Experience with CAN bus and sensor fusion for speed estimations in high precision condition.
• Working knowledge of computer vision frameworks (OpenCV, ROS perception stack, or deep learning-based methods).

Soft Skills:

• Excellent analytical, problem-solving, and system-level thinking.
• Highly self-motivated and comfort with working in a fast-paced startup environment with startup-oriented hours
• Commitment to working onsite five days a week to contribute to positive in-office culture
• Excellent problem-solving ability, with both scrappiness and precision when tackling challenges.
• Strong collaboration and communication skills, with a willingness to "get your hands dirty" during field testing.
• Passion for robotics, autonomous driving, and Agtech technology.

Benefits:

• Premium Extended Health & Dental & Vision Care Plans
• Unparalleled Stock Options Grant
• Bonus Plan Employee & Family Benefits Program
• Global Travel Assist Plan
• Company covered Gym Access