Rethink recruit
Gritt Robotics
is building physical AI systems that automate the construction of renewable energy infrastructure — dramatically accelerating the global transition to clean energy. Founded by experts from Carnegie Mellon, MIT, and Stanford, and backed by top-tier VCs (early investors in Uber, Notion, and Lyft), Gritt is at the forefront of climate-impact robotics innovation.
We are looking for a
Lead Robotics AI Engineer
to join our early team and play a foundational role in developing intelligent, autonomous robots that operate in complex, unstructured outdoor environments. This role is ideal for someone passionate about robotics, eager to work hands‑on, and ready to lead technical development in a high‑impact, mission‑driven startup.
What You’ll Do
Design, develop, and deploy
state‑of‑the‑art AI systems
for robotic manipulation and navigation
Drive
AI architecture decisions
in perception, planning, and control
Build and optimize
simulation‑driven training and validation pipelines
Work across sensor modalities including
vision, LIDAR, and tactile sensing
Improve model performance in challenging outdoor conditions and on real hardware
Optimize training and inference for
GPU environments
Collaborate with cross‑functional engineering teams and grow into leadership roles
What We’re Looking For
M.S. or Ph.D. in
Robotics, Computer Vision, Machine Learning , or a related field — or equivalent experience
4+ years
of hands‑on experience developing and deploying AI solutions in robotics (manipulation, navigation, or similar)
Deep expertise in
computer vision, machine learning, deep learning, or reinforcement learning
Familiarity with techniques like
VLMs, deep RL, and imitation learning
Proficient in
Python
and modern frameworks such as
PyTorch
Comfortable working autonomously and taking ownership in fast‑paced environments
Strong analytical, debugging, and problem‑solving skills
Must be legally authorized to work in the U.S.
Why Gritt
Tackle some of the hardest problems in robotics with
climate‑impacting outcomes
Join a deeply technical founding team and grow into key leadership roles
Competitive salary, equity, and full health/vision/dental coverage
Build the future of physical AI for a sustainable planet
#J-18808-Ljbffr
is building physical AI systems that automate the construction of renewable energy infrastructure — dramatically accelerating the global transition to clean energy. Founded by experts from Carnegie Mellon, MIT, and Stanford, and backed by top-tier VCs (early investors in Uber, Notion, and Lyft), Gritt is at the forefront of climate-impact robotics innovation.
We are looking for a
Lead Robotics AI Engineer
to join our early team and play a foundational role in developing intelligent, autonomous robots that operate in complex, unstructured outdoor environments. This role is ideal for someone passionate about robotics, eager to work hands‑on, and ready to lead technical development in a high‑impact, mission‑driven startup.
What You’ll Do
Design, develop, and deploy
state‑of‑the‑art AI systems
for robotic manipulation and navigation
Drive
AI architecture decisions
in perception, planning, and control
Build and optimize
simulation‑driven training and validation pipelines
Work across sensor modalities including
vision, LIDAR, and tactile sensing
Improve model performance in challenging outdoor conditions and on real hardware
Optimize training and inference for
GPU environments
Collaborate with cross‑functional engineering teams and grow into leadership roles
What We’re Looking For
M.S. or Ph.D. in
Robotics, Computer Vision, Machine Learning , or a related field — or equivalent experience
4+ years
of hands‑on experience developing and deploying AI solutions in robotics (manipulation, navigation, or similar)
Deep expertise in
computer vision, machine learning, deep learning, or reinforcement learning
Familiarity with techniques like
VLMs, deep RL, and imitation learning
Proficient in
Python
and modern frameworks such as
PyTorch
Comfortable working autonomously and taking ownership in fast‑paced environments
Strong analytical, debugging, and problem‑solving skills
Must be legally authorized to work in the U.S.
Why Gritt
Tackle some of the hardest problems in robotics with
climate‑impacting outcomes
Join a deeply technical founding team and grow into key leadership roles
Competitive salary, equity, and full health/vision/dental coverage
Build the future of physical AI for a sustainable planet
#J-18808-Ljbffr