Senior II/ Staff Robotics Platform Evaluation Engineer
Lila Sciences · Cambridge, MA USA · 10 Wilson, Cambridge, MA
CHECKED 14H AGO
Bio & Science AIonsitestaff$137k–$218k
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