Industrial Robotics Engineer

Divergent

$141K — $224K *
Manufacturing & Automotive
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's in Computer Science, Robotics, or related field with 5+ years of experience
  • Proficient in C++ and Python
  • Strong knowledge of data structures, algorithms, and design patterns
  • Fundamental understanding of industrial robotics including manipulator kinematics and dynamics
  • Expertise in search algorithms, optimization methods, and constraint satisfaction
  • Experience with MoveIt, ROS, or similar open-source robotic frameworks
  • Knowledge of CI/CD pipelines and containerization techniques like Docker and Kubernetes

Responsibilities

  • Develop and maintain high-quality software and testing practices
  • Collaborate with teams for seamless software integration
  • Contribute to robot task and motion planning solutions
  • Design and optimize algorithms in the planning framework
  • Assist in computer vision software integration and testing
  • Document work clearly for knowledge sharing
  • Stay updated on advancements in robotics planning technologies

Benefits

  • Holistic compensation package including salary and equity opportunities
  • Paid vacation, sick time, and company holidays with a year-end shutdown
  • Comprehensive health benefits and life insurance
  • Reimbursement opportunities for professional development
  • Dynamic and collaborative work environment fostering innovation
Full Job Description
Purpose

We are seeking a talented and motivated Industrial Robotics Engineer to join our Robotics & AI Software team. In this role, you will have the opportunity to work closely with experienced automation and software engineers to develop and implement innovative algorithms for task and motion planning plus computer vision in robotic systems. As a key member of our team, you will contribute to the design, development, and testing of software solutions aimed at enhancing the efficiency and reliability of robotic software algorithms. This involves symbolic task planning, robot kinematics, collision detection, optimization, and computer vision.
The Role
  • Develop and maintain software development best practices to ensure high-quality code, efficient testing, and timely releases.
  • Collaborate with other teams to ensure that our software integrates seamlessly with other software products.
  • Collaborate with senior engineers to understand project requirements and contribute to the development of software solutions for robot task and motion planning.
  • Design, implement, and optimize algorithms within our planning framework, leveraging your programming skills and understanding of robotics principles.
  • Assist in the integration and testing of computer vision software to ensure robustness and performance in real-world scenarios.
  • Document your work, including code, algorithms, user manuals, and procedures, to support knowledge sharing and future development efforts.
  • Stay updated on advancements in robot planning algorithms and technologies and contribute fresh ideas and insights to the team.
Basic Qualifications
  • Ability to lawfully access information and technology that is subject to US export controls
  • Bachelor's in Computer Science, Robotics, or related field with 5+ years of professional experience.
  • Proficient in programming languages such as C++ and Python.
  • Strong knowledge of data-structures, algorithms, and design pattern.
  • Fundamental understanding of industrial robotics including manipulator kinematics & dynamics, robot trajectory generation, and communications protocols.
  • Expertise with search algorithms, optimization methods, and constraint satisfaction.
  • Experience with open-source robotic planning and manipulation software packages such as MoveIt and ROS.
  • Knowledge of unit-testing, CI/CD pipelines, and containerization (Docker, Kubernetes).
  • Excellent communication and collaboration skills.
  • Ability to work effectively with cross-functional teams, including product managers & owners, engineers, and internal customers
Preferred Qualifications
  • Master's or Ph.D. in Computer Science, Robotics, or related field with 3+ years of professional experience.
  • Understanding of computer vision libraries such as OpenCV and PCL.
  • Experience using programming languages such as C#, TypeScript.
  • Explored using Generative AI in robotics.
  • Strong publication record and/or open-source contributions in the field of robotics.
Work Environment
  • Hybrid


Compensation

At Divergent, our pay range is based on the level of the job. For this role, we will consider candidates at levels E05 - E06 as evaluated through our interview process.
  • E05 / Senior: $141,380 -$194.390
  • E06 / Staff: $163,270 - $224,500


Pay Range

$141,380-$224,500 USD

What We Offer:
  • Holistic Compensation Package: Enjoy a world-class compensation package that includes a competitive salary, equity plan, and discretionary results-based incentive bonus opportunities, ensuring you're truly valued for your contributions.
  • Wellness and Time Off: Embrace a healthy lifestyle with paid vacation, sick time, and company holidays, including a year-end shutdown to recharge. We support growing families with paid parental leave, recognizing the importance of bonding time.
  • Comprehensive Health and Wellness: Prioritize your well-being with our comprehensive health and wellness benefits, offering both HMO and Premium PPO options. Additionally, benefit from company-sponsored life insurance and short and long-term disability coverage for peace of mind.
  • Investment in Growth: We're committed to your professional development. Take advantage of reimbursement opportunities for learning and development initiatives, empowering you to continuously expand your skill set and reach peak performance.
  • Collaborative and High-Performing Environment: Join our collaborative, dynamic, and high-performing team within a fast-paced, mission-driven company. Together, we're disrupting the traditional manufacturing industry, fostering innovation, and integrating people and technology to reduce our footprint.

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