Perception is central to the future of autonomous systems in the factory. In this role will lead the technical direction of the Autonomous Factory Systems organization’s Perception team. You will be defining the technical roadmap, shaping the architecture, and driving the work that will meaningfully expand what our robots can sense, understand, and act on. This is a deeply hands-on role for someone who brings sharp technical depth and the experience to drive alignment across teams working at the cutting edge of industrial robotics.
What You’ll Do
Define and drive the multi-year technical roadmap for the Perception Team; align perception capabilities with the broader Autonomous Factory Systems strategy and surface upstream dependencies and risks early
Lead architecture of the full perception pipeline. Object detection and tracking, semantic and instance segmentation, 6-DoF pose estimation, and scene understanding, designed for the reliability and throughput demands of industrial environments
Define the integration surface between perception and adjacent systems (motion planning, manipulation, control, simulation); establish clear, well documented contracts that downstream teams can build against with confidence
Drive sensor fusion strategy across LiDAR, structured light, RGB, and depth cameras; collaborate with hardware teams on sensor selection and calibration pipelines
Establish rigorous practices for the team: data collection and labeling pipelines, model training and evaluation workflows, deployment practices, and validation criteria across simulation and real-world environments
Represent perception in cross-functional design reviews and planning; engage with hardware vendors and research collaborators where relevant
Continuously evaluate state-of-the-art research; make deliberate, justified decisions about when and how to incorporate advances into production systems
What We’re Looking For
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. Familiarity with the reliability and safety constraints that production deployment demands beyond the lab
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
What Will Set You Apart
M.S. or Ph.D. in Computer Science, Robotics, or a related field with a concentration in computer vision, machine learning, or perception
Hands-on experience with sensor fusion techniques including multi-modal calibration, temporal alignment, and uncertainty quantification across sensor modalities
Familiarity with model optimization for edge deployment: quantization, distillation, TensorRT, or equivalent
Publications, patents, or significant open-source contributions in computer vision, robotics perception, or machine learning
Compensation
For this role, the target salary range is $299,000 - $359,000 (actual range may vary based on experience).
This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
BENEFITS FOR FULL-TIME EMPLOYEES
- Medical, dental, vision, and life insurance plans for employees
- 401k
Relocation support may be provided for certain situations, based on business need.
Flexible vacation policy
Equity
ITAR REQUIREMENTS
To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen or national, lawful permanent resident, 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. Learn more about the ITAR here.
USE OF AI IN HIRING
Hadrian uses AI-assisted tools in our recruiting and hiring processes to help our team work more efficiently. This may include tools that help organize and analyze recruiting data, as well as an AI-powered notetaker that can record and transcribe interviews and help coordinate feedback. These tools support our team and are not used to make hiring decisions. All candidate evaluations and hiring decisions are performed by humans. If an interview will be recorded, you will be notified in advance and may opt out at any time with no impact on your candidacy. Candidate data processed through these tools is subject to the same protections described in our Privacy Policy https://www.hadrian.co/privacy-policy.
CONSIDERATION OF CRIMINAL HISTORY
Hadrian will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of all applicable laws. We do not ask about criminal history on our application, and we do not consider criminal history before making a conditional offer of employment.
HADRIAN IS AN EQUAL OPPORTUNITY EMPLOYER
Hadrian does not unlawfully discriminate on the basis of race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, marital status, mental status, physical disability or any other legally protected status. 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.
