Senior Software Engineer - Calibration Localization and Mapping
Location: San Francisco, CA (full time, in-person)
Company Overview
Our mission is to accelerate the construction of critical infrastructure on Earth while pioneering technologies to enable humanity to build beyond Earth. Starting with the Cosmic-1a system that installs solar panels 10x faster than today’s methods, our goal is to help transition the world to a clean energy future and laying the groundwork for the future of autonomous construction.
The Role
We are seeking a Senior Software Engineer in Calibration, Localization, and Mapping to lead the design, development, and implementation of performant and scalable state estimation algorithms that enhance the capabilities of our mobile manipulation robot.
In this role, you will take technical ownership of software that fuses data from lidar, inertial sensors, vision, and proprioception to estimate the robot’s ego-motion in its operating environment. You will work across the stack, balancing algorithmic performance, system constraints, and real-world reliability to deliver production-ready perception capabilities.
Responsibilities
Design, develop, and integrate robust high-throughput low-latency state estimation, pose estimation, mapping, and reconstruction algorithms for real-world robotic systems
Build simulation-based and on-robot evaluation
Build and maintain algorithms and workflows for intrinsics and extrinsics sensor calibration as well as hand-eye calibration
Translate business and operational requirements into well-scoped technical work packages and execution plans
Collaborate cross-functionally with controls, platform, and hardware engineers to ensure system-level success
Maintain and elevate code quality through code reviews, automated testing, and documentation
Contribute to technical direction and engineering standards through strong leadership and adherence to best practices
Travel to customer projects for on-site testing and deployment of robotic equipment in the field
Requirements
PhD or Master’s degree and 4+ years of applied research experience in Robotics, Electrical Engineering, Mechanical Engineering, Computer Science, or other related field
5+ years of professional engineering experience
Experience leading technical projects or small teams, including setting technical direction, coordinating execution, and mentoring other engineers
Fluency in modern C++ (C++17 or later), Python, and CUDA
Strong mathematical skills, including deep understanding of 3D geometry, probability, and linear algebra
Deep expertise in state estimation as on-manifold nonlinear least-squares, including SO(3)/SE(3) parameterizations, marginalization, and filter- and optimization-based techniques
Excellent written and verbal communication skills
Thrives in ambiguity and incomplete information
Bonus
8+ years of professional software engineering experience
Hands-on experience delivering production-grade ML models in latency-sensitive, edge-deployed systems
Using foundation models and simulation tools like Isaac Sim to accelerate data collection and model iteration
Optimizing or compressing models using tools such as TensorRT
Managing model lifecycles, including versioning, evaluation, and deployment
Experience with 3D scene representations such as TRIPS, Gaussian Splatting, TSDF, or vector maps