Senior Robotics AI Engineer

Responsibilities

• Own the development and productionization of ML systems, including model design, training, fine tuning, optimization, deployment and continuous improvement.
• Develop and adapt models across multimodal inputs (e.g., camera, LiDAR) and other AI domains as product needs evolve.
• Integrate ML outputs into the robotics stack, ensuring reliable performance under real-time and hardware constraints.
• Investigate customer reported issues and drive root-cause analysis to improve system robustness.
• Build and improve infrastructure for rapid experimentation, model iteration, evaluation and deployment.
• Improve and scale data collection, labeling, preprocessing and validation pipelines to ensure high-quality training datasets.
• Implement robust simulation and field testing workflows, along with production monitoring to detect drift and performance degradation.
• Collaborate cross-functionally with Product and Engineering to translate requirements into scalable AI solutions.
• Master's degree or PhD in Robotics, Computer Science or a related technical field.
• 4+ years of professional experience in developing software for robotics and machine learning.
• Strong proficiency in Python and C++.
• Experience using ML frameworks like TensorFlow, PyTorch, or similar
• Proven experience building, deploying and maintaining ML models in production, ideally on edge systems.
• Hands-on experience working with camera and LiDAR data for perception and navigation tasks.
• Experience with ML optimization and acceleration tools (e.g., TensorRT), including familiarity with quantization, pruning and other model compression techniques.
• Strong problem solving mindset and comfort working across system boundaries.
• Ability to clearly communicate complex advanced concepts to both technical and non-technical stakeholders.
• Continual learning mindset and staying updated with the latest ML research and methodologies.

Nice To Haves

• MLOps Experience (experiment tracking, dataset versioning)
• Proficiency in ROS
• Familiarity with Docker, Linux and production infrastructure environments

Perks

• Competitive salary and benefits package (medical/dental/vision)
• Early-Stage Equity
• 401K Plan
• Unlimited PTO
• Paid parental leave

Recruiters

• We are not accepting agency resumes for this position.
• Please do not forward or submit resumes through our website or to any of our employees directly.
• Burro is not responsible for any fees related to unsolicited resumes from recruitment agencies.