Senior Software Engineer – Robotics, Machine Learning & Picking Intelligence
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Key skills for this role
Role Overview
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
Key Skills for This Role
Full Job Posting
About the Role
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
What You'll Work On
Depending on your strengths and interests, you will contribute across areas such as:
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
Who We're Looking For
We're looking for a senior-level engineer who is either strong across robotics and ML — or very strong in one with the ability and curiosity to grow in the other.
Required Experience
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
Preferred Qualifications
- 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
Why Join RightHand Robotics
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
About RightHand Robotics
At RightHand Robotics, we build intelligent robotic piece-picking systems that operate in real warehouses, at real scale, every day. Our robots don't live in demos or research labs, they power production fulfillment across thousands of SKUs and demanding customer environments.
We are a small, highly practical engineering team focused on shipping reliable, scalable automation that delivers measurable customer value.
If you're excited by solving hard real-world robotics problems, working hands-on with robots, and seeing your work deployed quickly, this role is for you.
About RightHand Robotics
Develops autonomous robotic piece-picking systems for warehouse fulfillment.
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