Why This Job is Featured on The SaaS Jobs
This AI Software Engineer role stands out in the SaaS ecosystem because it sits where subscription software meets deployed, customer operated systems. The listing emphasizes taking machine learning from prototype through production on fielded products, which mirrors a core SaaS challenge: delivering reliable, continuously improving capabilities in environments that cannot be treated like a controlled lab. The focus on safety, uptime, and human in the loop decision support also reflects how SaaS value is often measured in operational outcomes, not just model accuracy.
For a long term SaaS career, the work builds practical experience in turning ML into product, including integration with broader software systems and the realities of inference constraints. Exposure to telemetry, video, and edge deployment patterns translates well to modern SaaS categories such as IoT platforms, industrial analytics, and AI assisted operations, where monitoring, incident response, and iteration cycles are part of shipping.
This position is best suited to engineers who enjoy bridging applied ML and production engineering, and who prefer clear feedback loops from real world usage. It fits someone who wants ownership across the model lifecycle and is comfortable collaborating across robotics, software, and operations stakeholders.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
$135,000 - $170,000 a year - Full-time
Job details
Pay
-
$135,000 - $170,000 a year
Benefits
Pulled from the full job description
- 401(k)
- Health insurance
- Paid time off
- Vision insurance
- Dental insurance
- Life insurance
Full job description
AI Software Engineer
About Us
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.
Position
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.
Required Skills and Experience
- 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.
Pay: $135,000.00 - $170,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
Application Question(s):
- Are you a "U.S. Person" is defined in 22 C.F.R. § 120.62 to include individuals who are U.S. citizens, lawful permanent residents, or certain protected individuals, as well as U.S. government entities and corporations or other entities organized in the United States.
Ability to Commute:
- Norristown, PA 19401 (Preferred)
Work Location: In person
