Job Description

Key Responsibilities

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Multidisciplinary Team Leadership

o Lead an engineering team to build out , scaling the perception organization pipeline--comprising Robotics, CV/ML, Data, Software, Embedded, and Integration engineering disciplines--by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution
o Own hiring, mentoring, and infrastructure investments critical to team success.
o Maintain hands-on technical oversight while optimizing performance, driving innovation, and ensuring stakeholder clarity.Full-Stack Perception System Ownership

o Manage the perception technology roadmap, systems architecture, and product execution, leveraging robotics, CV/ML, and high-quality software engineering to bring state-of-the-art solutions to market
o Prototype system concepts, validate hypotheses, and contribute to product roadmaps
o Conduct system analysis to identify bottlenecks and propose architectural or algorithmic improvements
o Evaluate and integrate new technologies, frameworks, and accelerators based on program requirementsLeading the Perception Software Development Team comprising of the following responsibilities:

o

Engineer high-quality software systems and integration architecture

--

the core of this team

--including:
Architecting end-to-end perception systems spanning edge platforms and GCS infrastructure to provide operators with comprehensive situational awareness.
Integration of third-party software and sensor systems with the perception stack.
Validation of system integration with the autonomy stack across simulated and operational environments
o

Develop sensor data acquisition and preprocessing methodologies

encompassing sensor data handling, interpretation, and synchronization; sensor control including configuration, rates, and gimbal behavior; and image processing techniques
o

Develop, optimize, deploy, and maintain perception models

including CV/ML architectures such as object detection, segmentation, tracking, and Vision Language Models; complementary image processing techniques including image matching and Structure from Motion; deployment on edge devices (such as NVIDIA SOCs) with performance optimization; secure development practices across the ML deployment lifecycle; and data curation and maintenance workflows - MLOps.
o

Apply robotics engineering methodologies

to define perception-driven robot behaviors such as desired platform trajectories, sensor parameters, and multi-robot target search strategies.

Required Qualifications

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Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field. Proven expertise in C++/Python and designing reliable software systems.

Technical Leadership

: Demonstrated leadership in guiding a multidisciplinary team, with hands-on contributions in core areas and clear technical direction in others.

Perception Systems and Software Engineering

:

o Proven ability to own and evolve an end-to-end perception pipeline (from sensors through inference to output translation), collaborating with specialists for advanced model development, MLOps, or embedded optimization as needed.
o Comfortable working across edge devices and backend systems.
o Proficiency integrating third-party libraries, sensor SDKs, and external frameworks.
o Ability to identify bottlenecks, propose architectural improvements, and validate solutions through simulation and testing.

ML/CV and Systems Knowledge:

o Working knowledge of modern architectures, training pipelines, and model optimization
o Understanding of MLOps concepts, data curation, and model lifecycle management

Domain Depth:

o Deep expertise in at least one of: edge deployment (NVIDIA SOCs), MLOps/ML pipelines, or robotics/UAV/autonomous vehicles perception systems
o Ability to learn and operate competently in adjacent domains

Desired Skills

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Familiarity with UAV systems or real-time autonomy stacks. Familiarity with ROS or robotics frameworks. Background in secure coding or Secure SDLC processes. Experience in algorithms for multi-robot coordination and behaviors. Vision Language Models, or advanced geometric computer vision algorithms. * Experience with Active Learning, Domain Adaptation, or edge-platform porting.