Senior Robotics Engineer: Perception

Summary

GrayMatter Robotics is a well-capitalized Physical AI company headquartered in Los Angeles, building Factory SuperIntelligence (FSI) through systems that learn, adapt, and develop genuine process intelligence across every part they touch. Our robots take on the tedious, hazardous, and ergonomically demanding work that has kept manufacturing dependent on a shrinking skilled workforce, delivering superhuman performance.

Robotics has a demo problem. GMR doesn't. Our systems are in active production today, adapting autonomously to real geometries, real materials, and real process variation without reprogramming. We deliver our system through a Robots-as-a-Service (RaaS) model that converts capital expenditure into an operating subscription, making Physical AI accessible to the manufacturers who need it most.

We hire people who want to solve hard physical problems at an industrial scale.

As a Senior Robotics Engineer: Perception, you will join our development team onsite in our Carson, CA office to support internal teams and develop algorithms and architecture for production software by working with physical robots, sensors, and tools. The role will focus on the fundamentals of perception to solve practical problems.

Role & Responsibilities

• Develop and implement algorithms, systems, and architecture for high-DOF robotic systems working in manufacturing environments.
• Ability to configure, troubleshoot, and develop low-latency robust interfaces for high-bandwidth, high-throughput sensor data.
• Develop and implement computer vision and perception algorithms using multi-modal sensing for 3D geometry reconstruction, segmentation, and inspection for manufacturing applications.
• Design and own full active perception pipelines, including exploration strategies, viewpoint planning, and coverage optimization, integrating them into robotic workflows
• Develop high-performance production-ready software packages and systems by enabling GPU programming and other hardware acceleration methods.
• Stay up to date with new research and novel findings in the fields of robotics and artificial intelligence.
• Maintain current knowledge of the product and related hardware to offer technical assistance to both internal and external teams, at our facilities and customer locations.
• Effectively identify and resolve complex and stochastic software issues through systematic debugging, ensuring optimal functionality of the system.
• Allocate 30% of the time to assist the application team for POCs, FATs and deployments, complementing core software development responsibilities with support in application-related tasks and collaborations.
• Travel to client locations as needed for on-site system-level debugging, ensuring the restoration and maintenance of optimal system functionality.

Minimum Qualifications

• Master’s degree in Robotics, Computer Science or similar engineering discipline.
• 2+ years of demonstrated industry experience in developing, implementing, and testing algorithms for planning/learning/perception/control.
• Experienced in developing complex function-based software that interacts with sensor inputs, control loops, and redundancy.
• Proficiency in C++ and Python production-level coding.
• Strong experience implementing and optimizing 3D geometry algorithms such as point cloud filtering, registration (ICP, feature-based), and segmentation.
• Ability to fuse multi-view 2D and 3D sensor data (e.g., RGB + depth, multiple point clouds) into a single aligned point cloud or mesh.
• Hands-on experience working with hardware vision sensors (e.g., Zivid, LMI, Ensenso, Realsense) and integrating them into existing software stacks.
• Familiar with ML/DL methods for image and point cloud processing.
• Proven track record of architecting perception pipelines that combine classical 3D geometry with ML/DL approaches.
• Strong ML/DL background as a core skill - including 2D image segmentation, 3D semantic/instance segmentation of point clouds, defect detection, and combining learned with geometry-based methods.
• Experience designing and deploying multi-sensor fusion frameworks (calibration, synchronization, merging outputs from multiple cameras) in real-world systems.
• Ability to lead hardware-software integration efforts and ensure robustness across deployments.

Preferred Qualifications

• Advanced degree in Robotics, Computer Science or similar engineering discipline.
• 5+ years of experience deploying software systems in production environments.
• Designing and owning full active perception pipelines, including exploration strategies, viewpoint planning, and coverage optimization, and integrating them into robotic workflows.

Additional information

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage and embrace applicants of all backgrounds to apply!

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Pay and benefits

Depending on the position and if listed, compensation may include the base salary range, bonus or commission, and equity. We also provide comprehensive benefits and perks which include but are not limited to medical, dental, vision, unlimited PTO, 401(k) plan + employer match, regular offsite events, a discretionary fund for enhancing productivity and so much more! The range listed on job postings reflect the minimum and maximum new hire salary across levels in Los Angeles, CA.