Job Description

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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