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Scientist I / II, Robotics

Lila Sciences - Cambridge, MA USA

Posted Jan 20, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
Offered From the posting source checked Jun 20, 2026
Verification
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Salary
$176K-$304K From the posting source checked Jun 20, 2026
401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

106% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
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Company

Company stage
Early From the posting source checked Jun 20, 2026
Equity
Offered From the posting source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Scientist I / II, Robotics Cambridge, MA USA Your Impact at LILA As a Robotics Scientist at Lila, you will lead the research and development of autonomous robotic systems that serve as the intelligent physical infrastructure of our scientific superintelligence platform. You'll develop novel algorithms and deploy intelligent robotic solutions that interact seamlessly with human scientists and complex lab environments. Your work will accelerate our mission by enabling fully autonomous workflows for scientific discovery, combining cutting-edge robotics, machine learning, and systems engineering. What You'll Be Building - Design and develop autonomous robotic systems for transport and workcell operations, integrating advanced path planning, navigation, and motion planning algorithms - Build production-grade mobile manipulation platforms leveraging ROS/ROS2 and modular robotic architectures - Advance robotic perception by integrating sensing modalities such as 3D vision, LIDAR, and tactile sensors to enable robust, adaptable task execution - Use simulation environments to model, test, and optimize task planning, scheduling, and robot behaviors in diverse lab scenarios - Collaborate with AI, mechanical, and software engineering teams to translate theoretical robotics research into real-world autonomous systems What You'll Need to Succeed - Ph.D. in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field, or equivalent research experience - Expertise in motion planning, path planning, and navigation for manipulation and mobile robotics - Proficiency with ROS/ROS2, C++, and Python, with hands-on experience building robotic systems in real-world environments - Deep understanding of perception systems and sensor integration (e.g., camera, LIDAR, tactile sensors) - Proven ability to take robotic systems

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