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Senior II/ Staff Robotics Platform Evaluation Engineer

Lila Sciences · Cambridge, MA USA · 10 Wilson, Cambridge, MA

CHECKED 14H AGO

Bio & Science AIonsitestaff$137k–$218k
Apply on the lab’s site ↗

At a glance

Highlights

  • Lead dedicated team benchmarking alternative robotics platforms against baseline.
  • Commission new robots from unboxing through integration and hands-on testing.
  • Define evaluation methodology so results stay directly comparable across platforms.

What they offer

  • Competitive base compensation with bonus potential and early-stage equity
  • Medical, dental and vision coverage
  • Employer-paid life and disability insurance
  • Flexible time off with company-wide holidays
  • Paid parental leave
  • Educational assistance program
  • Commuter benefits and subsidized lunch program

Ideal candidate

Hands-on robotics leader who loves lab work and mentoring a small team. You enjoy building fair test frameworks from scratch and turning hardware results into clear platform decisions.

Requirements

  • Professional experience deploying robotics platforms in production, commercial, or applied R&D settings
  • Experience leading or mentoring engineers on a hands-on hardware or robotics team
  • Hands-on ROS2 and Nav2 experience in real deployments, not simulation alone
  • Experience with manipulation and pick-and-place, including motion planning and grasp execution, plus controls for arms or mobile bases
  • Direct experience with AMRs/AGVs, 6 to 7 DoF arms, grippers, and camera or lidar perception pipelines including calibration
  • Experience with NVIDIA Isaac Sim, or equivalent simulation, for reachability or navigation validation
  • Track record building a process, framework, or standard from scratch and turning test results into decision-ready comparisons

Lab profile

About Lila Sciences

Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.

What they build

  • Autonomous Science Platform
  • AI-designed biologics validated in wet-lab
  • Electro-optic materials and photonic devices

Known for

  • Large-scale automated data generation
  • High-throughput protein purification and analytics
  • Protein design and BioML modeling
  • Robotic orchestration and lab simulation
More about Lila Sciences →
Apply on the lab’s site ↗