Senior Software Engineer – Robotics, Machine Learning & Picking Intelligence
About The Position
We are looking for a senior robotics engineer with strong applied machine learning experience to help own and evolve the intelligence behind robotic picking in production. This is not a research role. You will build, deploy, and continuously improve perception, decision-making, and learning systems that directly affect robot performance in customer warehouses. You'll work across robotics, ML, and system architecture to improve: Pick success and reliability Segmentation and perception quality Grasp and suction selection strategies Placement and exception handling Overall system robustness in the real world
Requirements
- 5+ years of professional experience in robotics, ML engineering, or related fields
- Strong Python experience
- Experience delivering production-level code
- Hands-on experience with real-world systems, including robotics, sensors, or deployed ML
- Strong problem-solving mindset and comfort working across system boundaries
Nice To Haves
- Applied machine learning / MLOps experience (model deployment, iteration, monitoring)
- Computer vision experience (segmentation, detection, depth, perception pipelines)
- Strong kinematics background
- Experience with integrating and calibrating color and depth sensors
- Experience with manipulation, picking, grasping, or physical automation
- Familiarity with Docker, Linux, and production infrastructure
- Experience using production data to draw actionable insights
- DevOps experience
Responsibilities
- Improve pick success, reliability, and throughput across production robots
- Build and deploy perception and segmentation models for warehouse environments
- Develop intelligent picking, retry, and placement strategies that reduce exceptions
- Integrate ML outputs into real-time robotic decision systems
- Work hands-on with robots, cameras, and sensor data to harden systems
- Use production data to continuously improve performance and robustness
- Collaborate closely with hardware, operations, product, and customer teams
Benefits
- Work on robots in production, not demos
- Make tangible impact in a small, senior team
- Solve challenging real-world robotics + ML problems
- High ownership, high trust engineering culture
- Flexible work environment
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
