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.
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
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
Strong Plus
- 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
- Dev-Ops experience
How We Work
- Encouragement to try new solutions to solve customer problems
- Practical > theoretical
- Shipping > endless experimentation
- Simple solutions for complex problems
- Close collaboration across disciplines
- Direct ownership and accountability
- We take the work seriously, but not ourselves. Curiosity, experimentation, and a little whimsy are part of how we build great systems
You’ll have real responsibility, real impact, and the ability to see your work change how robots perform.
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
