Senior Software Engineer, AI/ML
Role details
Job location
Tech stack
Job description
You'll join our Solutions team, where we push the limits of autonomous robotic inspection intelligence. In this role you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. You will have the opportunity to work on complex technical problems, build new capabilities, and improve existing across various platforms and languages, including edge devices and cloud architecture. Your work will shape our technology roadmap, guiding long-term strategy and ensuring every solution is robust, reliable, and ready for impact. If you thrive on discovery, hands-on experimentation, and know your research can redefine robotics and industrial inspections, this role lets you make a real difference-for our customers and the robotics community. Market & Technology, * Build robust and scalable data collection infrastructure, to collect data, and evaluate its quality.
- Design and build ML evaluations framework. Deploy ML models to production, benchmark and optimize their latency.
- Conduct evaluations experiments, analyze results and suggest modeling improvements.
- Analyze and optimize code for quality, efficiency, and performance.
- Lead complex technical or product efforts and provide technical guidance to peers.
- Architect efficient and scalable ML systems that drive complex applications.
- Identify and resolve performance and scalability issues.
- Collaborate with Product Management and User Experience (UX) to translate product requirements into user-centric solutions.
- Partner with a cross-functional engineering team to build and deliver seamless, end-to-end solutions.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Demonstrated strong coding, debugging, and engineering skills in writing modern C++/Python.
- Good familiarity with GPU programming, performance bench-marking and optimization, to deploy ML systems on edge or cloud systems.
- Experience in software development, architecture design and implementation.
- Experience leading ML system design and infrastructure (e.g., data pipeline (collection, annotation, versioning, ingestion, storage, discovery), ML model training, evaluation and deployment).
- Experience in testing, and launching large scale software products.
Bonus Points
- Experience with state of the art deep learning and computer vision models (e.g. Transformer based architecture, Diffusion models, Multi-Modal, Large Vision Models).
- Experience with diverse HW sensing technologies e.g. vision, audio, thermal, gas.
- Experience with ROS2, robotics middle-ware, and simulation frameworks.
We offer you a very exciting and dynamic work environment, the opportunity to become part of a fast-growing company and an ambitious team that is on a mission to change the industrial inspection market, a chance to leverage your experience and bring in your own ideas, a fair market salary, and an attractive employee stock ownership plan.