Samsonrose
Samson Rose has partnered with a climate-focused robotics startup to find a Robotics Software Engineer focused on simulation and training infrastructure. This is an opportunity to join an early, mission-driven team building physical AI systems that automate outdoor construction, starting with renewable energy infrastructure. You will play a key role in designing and building the platforms and tooling that enable robot learning for real-world manipulation and navigation.
A little about them: This team is developing physical AI systems to automate the construction of renewable energy infrastructure, helping accelerate the global transition to clean energy. Founded by experts from Carnegie Mellon, MIT, and Stanford and backed by top-tier venture capital firms with early investments in companies such as Uber, Notion, and Lyft, they are combining robotics, AI, and large-scale deployment in challenging real-world environments.
The person they are looking for should have:
Bachelor’s, Master’s, or Ph.D. in Computer Science, Robotics, Engineering, or equivalent practical experience
4+ years of experience developing simulation, training, or infrastructure software for robotics systems
Strong software engineering skills in Python, with experience using frameworks such as PyTorch
Experience working with simulation or rendering frameworks such as Isaac Sim, MuJoCo, Unreal, or similar
Familiarity with physics-based modeling for robotics or autonomous systems
Experience working with multimodal datasets, including cameras, lidar, or tactile sensing
Exposure to robot learning workflows such as reinforcement learning or imitation learning from an infrastructure or tooling perspective
Ability to take ownership of complex systems with minimal supervision
Must be legally authorized to work in the United States
You will be responsible for:
Designing and building scalable simulation infrastructure for robot training and validation
Integrating high-fidelity physics models to represent real-world environments
Developing tooling and platforms that support large-scale training of robot AI models
Working with multimodal sensor data to support simulation and learning workflows
Architecting and optimizing software systems for parallelization on GPU-based compute
Collaborating closely with roboticists and engineers to support manipulation and navigation development
Taking increasing ownership of core simulation and training infrastructure as the team grows
Why this role stands out
Work on robotics systems with direct climate impact
High ownership role in an early-stage, technically deep team
Opportunity to shape foundational infrastructure for robot learning and autonomy
Competitive salary and equity, plus health, vision, and dental benefits
Long-term growth opportunity as the company scales
If this role is of interest, please apply with your current resume. We will be in touch to schedule an initial conversation.
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A little about them: This team is developing physical AI systems to automate the construction of renewable energy infrastructure, helping accelerate the global transition to clean energy. Founded by experts from Carnegie Mellon, MIT, and Stanford and backed by top-tier venture capital firms with early investments in companies such as Uber, Notion, and Lyft, they are combining robotics, AI, and large-scale deployment in challenging real-world environments.
The person they are looking for should have:
Bachelor’s, Master’s, or Ph.D. in Computer Science, Robotics, Engineering, or equivalent practical experience
4+ years of experience developing simulation, training, or infrastructure software for robotics systems
Strong software engineering skills in Python, with experience using frameworks such as PyTorch
Experience working with simulation or rendering frameworks such as Isaac Sim, MuJoCo, Unreal, or similar
Familiarity with physics-based modeling for robotics or autonomous systems
Experience working with multimodal datasets, including cameras, lidar, or tactile sensing
Exposure to robot learning workflows such as reinforcement learning or imitation learning from an infrastructure or tooling perspective
Ability to take ownership of complex systems with minimal supervision
Must be legally authorized to work in the United States
You will be responsible for:
Designing and building scalable simulation infrastructure for robot training and validation
Integrating high-fidelity physics models to represent real-world environments
Developing tooling and platforms that support large-scale training of robot AI models
Working with multimodal sensor data to support simulation and learning workflows
Architecting and optimizing software systems for parallelization on GPU-based compute
Collaborating closely with roboticists and engineers to support manipulation and navigation development
Taking increasing ownership of core simulation and training infrastructure as the team grows
Why this role stands out
Work on robotics systems with direct climate impact
High ownership role in an early-stage, technically deep team
Opportunity to shape foundational infrastructure for robot learning and autonomy
Competitive salary and equity, plus health, vision, and dental benefits
Long-term growth opportunity as the company scales
If this role is of interest, please apply with your current resume. We will be in touch to schedule an initial conversation.
#J-18808-Ljbffr