Mid/Senior Level Robotics Software Engineer

AlphaOne Robotics•Dallas, TX

43d•Onsite

About The Position

Join our innovative robotics team as a Robotics Software Engineer, where you'll play a pivotal role in building foundational technologies for a disruptive company transforming warehouse automation. In this startup environment, you'll independently develop features, integrate hardware-software solutions, and optimize robotic systems for real-world logistics challenges—gaining broad, hands-on experience across object detection, action planning, manipulation, and navigation. Leverage a diverse array of cutting-edge sensors (e.g., cameras, LiDAR, IMUs, and more) and AI models to enable sophisticated, intelligent robot behaviors. This is your chance to contribute to something truly awesome, grow with us, and shape the company's long-term future. Ideal for passionate engineers seeking meaningful impact and a lasting career in pioneering automation solutions.

Requirements

Bachelor's or Master's degree in Robotics, Electrical Engineering, Mechanical Engineering, Software/Computer Engineering, Mechatronics, Automation, or a closely related field. Equivalent practical experience may substitute for formal education.
Proficiency in Python and/or C++ programming and object-oriented design ideally in Linux and familiarity with Git/version control
Hands-on expertise in software-hardware integration, system testing, and debugging in robotic or automation environments
Experience with computer vision and image processing techniques (e.g., object detection, segmentation, or feature extraction)
3+ years of relevant professional experience in robotics software development or related fields (e.g., warehouse automation, industrial controls)
Proven track record of independently delivering features or projects from concept to deployment

Nice To Haves

Experience with industrial robots (e.g., Fanuc, Universal Robots) and control systems/PLC programming
Knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow) and models (eg. Yolo) for robotics applications like perception or decision-making.
Experience in computer vision and image processing techniques using libraries like OpenCV (e.g., object detection, segmentation, feature extraction)
Familiarity with simulation tools (e.g., Gazebo, Isaac Sim)
Experience with 3D data processing libraries (e.g., PCL, Open3D) for handling point clouds, depth maps, or spatial data from sensors like LiDAR or stereo cameras
Experience with autonomous navigation systems (e.g., path planning, SLAM, obstacle avoidance, or localization techniques)
Demonstrated ability to take full ownership of projects, driving them to completion with minimal supervision.
Advanced analytical and problem-solving skills for complex debugging and system-level optimizations.
Strong communication skills, including technical writing (e.g., reports, specs) and presenting ideas to non-technical stakeholders.
Effective collaboration with multidisciplinary teams.
Adaptability to handle ambiguous requirements and iterate quickly in a fast-paced tech environment.
Commitment to innovation and continuous learning in robotics and automation.

Responsibilities

Lead independent feature development for robotic systems in a collaborative small-team environment
Own features from ideation to final testing and deployment: collaborate with cross-functional teams to define requirements, brainstorm solutions, identify edge cases, implement code, and validate functionality.
Develop software enhancements to improve system efficiency, reliability, and functionality, tackling challenges across object detection, planning, manipulation, and navigation for real-world warehouse automation.
Prototype and iterate using simulations and real hardware, incorporating team feedback for seamless integration in warehouse environments.
Optimize existing codebase for performance, scalability, and maintainability, while soliciting input from cross-functional colleagues.
Perform end-to-end testing of integrated hardware-software systems, identifying and resolving complex issues autonomously.
Analyze production data, logs, and metrics to diagnose root causes and implement fixes.
Collaborate with cross-functional teams to integrate features with mechanical, electrical, and control systems.
Create detailed documentation for features, test plans, and system architectures to support team scalability and knowledge transfer.
Contribute to code reviews, version control, and continuous integration pipelines to uphold high-quality standards.
Adhere to safety standards when working with and around robotic equipment in warehouse environments.