About the role

What will you do at RightHand Robotics?

Senior Software Engineer – Robotics, Machine Learning & Picking Intelligence

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.

Which skills does this role require?

PythonSensor IntegrationSystem ArchitectureWarehouseRobotic PickingData AnalysisHardware Integration

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
Machine learning jobsCompare current openings and review what to look for in this role.
Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.