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About the Role

The Autonomous Factory Systems team builds the software that enables Hadrian's factories to sense, decide, and act autonomously. This includes the core robotics stack, orchestration between robots and manufacturing machines, and the hardware abstraction layer. In this role, you will lead the technical direction of the Perception team, defining the roadmap, shaping the architecture, and driving the work to expand robot sensing, understanding, and action capabilities. This is a hands-on role requiring deep technical expertise and the ability to drive alignment across teams working on cutting-edge industrial robotics.

Responsibilities

Define and drive the multi-year technical roadmap for the Perception Team, aligning perception capabilities with the broader Autonomous Factory Systems strategy and surfacing upstream dependencies and risks.
Lead the architecture of the full perception pipeline, including object detection and tracking, semantic and instance segmentation, 6-DoF pose estimation, and scene understanding, designed for industrial environments.
Define the integration surface between perception and adjacent systems (motion planning, manipulation, control, simulation), establishing clear contracts for downstream teams.
Drive sensor fusion strategy across LiDAR, structured light, RGB, and depth cameras, collaborating with hardware teams on sensor selection and calibration.
Establish rigorous practices for the team, including data collection and labeling pipelines, model training and evaluation workflows, deployment practices, and validation criteria.
Raise the technical bar in hiring by defining role requirements, conducting technical interviews, and assessing candidates.
Mentor engineers across levels on perception fundamentals and engineering craft.
Represent perception in cross-functional design reviews and planning.
Engage with hardware vendors and research collaborators.
Continuously evaluate state-of-the-art research and incorporate advances into production systems.

Requirements

10+ years of software engineering in computer vision, robotics perception, or autonomous systems, with a track record of technical leadership at Staff or Principal level (or equivalent scope).
Expert-level command of 3D computer vision: point cloud processing, depth estimation, stereo and structured light systems, multi-view geometry, and/or LiDAR-based algorithms in production.
Strong machine learning foundations — model architecture, training infrastructure, and production deployment — with the judgment to know when and how to apply learned approaches versus classical methods.
Experience in manufacturing, logistics, or other applied robotics environments, with familiarity with reliability and safety constraints of production deployment.
Experience building and deploying real-time perception systems under hard latency and reliability constraints.
Strong proficiency in C++ and Python; demonstrated ability to write production-quality code and hold a high bar in technical review.
Proven ability to define architecture across a domain, make and communicate high-stakes technical decisions, and build alignment across teams and organizational boundaries.
Experience contributing meaningfully to technical hiring — defining role requirements, evaluating candidates, and helping raise team caliber over time.
Must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State due to ITAR requirements.

Skills

Computer Vision
Robotics Perception
Autonomous Systems
3D Computer Vision
Point Cloud Processing
Depth Estimation
Stereo Systems
Structured Light Systems
Multi-view Geometry
LiDAR-based Algorithms
Machine Learning
Model Architecture
Training Infrastructure
Production Deployment
C++
Python
Sensor Fusion
Multi-modal Calibration
Temporal Alignment
Uncertainty Quantification
Model Optimization
Quantization
Distillation
TensorRT

Location

Remote

Work Type

Full-time

Experience Level

Staff or Principal level (or equivalent scope)

Education Level

M.S. or Ph.D. in Computer Science, Robotics, or a related field with a concentration in computer vision, machine learning, or perception

Salary/Compensations

$240,000 - $299,000

Benefits

Medical, dental, vision, and life insurance plans
401k
Relocation support may be provided
Flexible vacation policy
Equity

About the Company

Hadrian is building autonomous factories to reindustrialize America by combining AI, advanced software, robotics, and full-stack manufacturing.
We help aerospace and defense companies build rockets, satellites, aircraft, ships, and other mission-critical systems up to 10x faster and at significantly lower cost.
Following our $1.37B Series D at a $7.87B valuation, Hadrian is rapidly expanding our manufacturing footprint and scaling our Factory-as-a-Service platform.
Backed by leading investors including JPMorgan Chase, Valor Equity Partners, Andreessen Horowitz, Founders Fund, 137 Ventures, Lux Capital, T. Rowe Price, and Morgan Stanley.

Equal Opportunity

It is the Company’s policy to provide equal employment opportunity for all applicants and employees.
The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics.
When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.