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Senior Robotics AI Engineer

Burro
Philadelphia, USA
Full-time
Senior · 4+ years experience
Onsite
USD 160000-180000 / year
Discovered 1 months ago
cplusplusdockerlinuxpythonpytorchtensorflow

Full Job Posting

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

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