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Senior Software Engineer – Robotics, Machine Learning & Picking Intelligence

RightHand Robotics
Charlestown, USA
Full-time
Senior · 5+ years experience
Onsite
USD 120000-175000 yearly / year
Discovered 1 weeks ago
PythonDockerLinuxMachine learningComputer visionRobotics
Free

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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.

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