AI Software Engineer
Role details
Job location
Tech stack
Job description
Asylon is hiring a full-time AI Software Engineer to join our Norristown, PA team. This role sits at the intersection of data science, robotics engineering, and software engineering, and is focused on bringing AI into the core of our robotic technologies. You will build models and systems that make our robots smarter and safer in the field, for example, suggesting preventive maintenance before components fail, using onboard video to detect and avoid hazards before the robot reaches them, and acting as a "backseat driver" that recommends safe paths under unexpected conditions and flags situations for human operator attention. You will work closely with teams throughout Asylon to take these capabilities from research and prototype through to deployment on our commercially fielded products. The ideal candidate is equally comfortable using machine learning models, writing production-quality code, and reasoning about the realities of robotic hardware operating in the real world.
Primary Duties
- Design, train, and deploy machine learning models that bring new AI-driven capabilities to our ground and aerial robotic systems.
- Develop AI tools that improve robot safety, helping our systems perceive their surroundings and respond appropriately to hazards and unexpected conditions.
- Develop AI tools that increase operational efficiency and reliability, drawing on robot telemetry and sensor data to anticipate problems and reduce downtime.
- Build decision-support and human-in-the-loop tools that surface the right information to human operators at the right time.
- Take models and AI features from research and prototype through to production, ensuring they run reliably and efficiently on deployed robotic hardware.
- Work closely with our robotics, software, and operations teams to understand field requirements and translate them into AI capabilities that improve safety and uptime.
Requirements
Do you have experience in System deployment?, * 3+ years of professional experience building and shipping machine learning or AI systems, including taking models from prototype into production.
- Expert-level proficiency in Python, including the modern ML/data ecosystem (e.g. PyTorch or TensorFlow, NumPy, pandas).
- Strong foundation in machine learning, including model training, evaluation, and the practical tradeoffs of deploying models in resource-constrained, real-world environments.
- Experience working with one or more relevant data modalities, such as video/imagery, time-series or sensor telemetry, or point cloud (LiDAR) data.
- Comfortable writing production-quality software and collaborating with engineers across the stack to integrate AI into larger systems.
Bonus Points
- Experience with computer vision and perception (object detection, tracking, segmentation, depth estimation) for robotics or autonomous systems.
- Experience deploying and optimizing models for edge or embedded hardware (e.g. quantization, ONNX/TensorRT, GPU/accelerator inference).
- Experience with anomaly detection or predictive maintenance on sensor or telemetry data.
- Familiarity with autonomy concepts such as path planning, obstacle avoidance, sensor fusion, or SLAM.
- Experience with LiDAR or point cloud processing.
- Experience with MLOps practices and tooling.
- Background in robotics, IoT, autonomous systems, or another domain involving physical hardware operating in the real world.
Benefits & conditions
Pulled from the full job description
- 401(k)
- Health insurance
- Paid time off
- Vision insurance
- Dental insurance
- Life insurance, * 401(k)
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Vision insurance