AI Software Engineer

Asylon Incorporated
Norristown, PA, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$135,000.0 - $170,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Computer Vision Dataspaces Python (Programming Language) Machine Learning Motion Planning NumPy Object Detection Tensorflow Robotic Automation Software Sensor Fusion Software Engineering
+6 more
Pytorch Pandas ONNX (Open Neural Network Exchange) Format Machine Learning Operations TensorRT Lidar

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

About the company

www.asylonrobotics.com

Asylon automates security operations using robots, software, and AI in order to help its customers protect their people, property, and assets. Asylon was founded in 2015 by three MIT aerospace engineers who have worked on a variety of projects in the aerospace industry from the V-22 Osprey to commercial jet engines to defense systems on Navy destroyers. With our team’s strong background in aerospace, Asylon develops products consistent with the quality standards demanded by commercial and military customers. Today, Asylon is a dynamic team that is passionate about robots and committed to building and operating safe, high quality products that solve the greatest challenges facing the robotics and security industries.

We are building a diverse team that creates novel solutions and provides previously unrealized services via robotics. The Asylon team is perfect for those who wish to apply their expertise to revolutionize the robotics industry while expanding their own skillsets.

Product - Robotic Perimeter Security

Asylon develops field deployable infrastructure for automated robots to augment the security teams of our clients. We believe that the true advantages of robotics and automation come when we can have robots and humans working hand-in-hand to increase security and help save lives. We see robots as a means to deliver actionable, timely, and persistent intelligence. DroneCore, our full stack aerial and ground robotics solution, is revolutionizing the way the security industry operates by providing capabilities to security teams that they have never had before.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:17 min

Validating lidar sensor models against real noise

Ulrich Wurstbauer +1 · LIVE

2:34 min

Maximizing execution memory effectively via python numpy broadcasting

Jodie Burchell · LIVE

2:03 min

Accelerating pandas dataframes using cudf module plugins

Ankit Patel Ankit Patel · WWC 2024

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

2:08 min

Processing physical environment data with lidar models

Oliver Zimmert · LIVE

1:31 min

Essential AI and human skills for future teams

Alexander Weißhaupt Alexander Weißhaupt +1 · WWC 2025

Videos

See all

Related articles

See all