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AI ML Perception Engineer Defense Tech

Approach Venture Austin, TX

Live

$120k - $210k · Senior Full-time Posted 7 days ago 3 min read

AI/ML Perception Engineer – Build Autonomous Intelligence for Next-Gen Defense Robotics! Austin, TX | Onsite Opportunity Summary A rapidly scaling, venture-backed startup is forging the next generation of autonomous defense robotics designed to react in milliseconds to dynamic, high-threat scenarios. As a Principal AI/ML Perception Engineer, you will take the helm of the perception and autonomy stack, shaping the intelligence that powers a fully autonomous robotic system built for real-world deployment. In this early engineering role, you’ll architect and implement the full perception pipeline, from sensor fusion and model development to field validation and optimization on embedded platforms. This is a rare zero-to-one opportunity where your work becomes the foundation of the product’s decision-making capabilities. You'll see your models running in rugged outdoor environments, influence the platform’s long-term technical direction, and help define what modern autonomous defense systems are capable of.

About Us We’re an emerging technology company focused on building compact robotic systems that can perceive, think, and act autonomously under extreme conditions. Our team blends deep experience in autonomy, machine learning, sensing, and hardware development. We thrive at the intersection of software and real-world constraints, solving complex perception challenges across diverse and noisy environments. Our mission moves fast, demands creativity, and requires engineering excellence at every layer of the stack.

Job Duties

Build and refine perception pipelines leveraging multi-sensor inputs including camera, IMU, and audio sources
Deploy computer vision and ML models tailored for low-latency, compute-limited embedded environments
Develop and implement audio-enhanced detection and localization methods using microphone arrays or acoustic sensors
Lead the data lifecycle, including collection, annotation, training, validation, and field testing
Architect robust real-time sensor fusion frameworks for state estimation and situational awareness
Integrate and bring up sensors (cameras, IMUs, microphones) while writing and optimizing low-level drivers
Prototype, evaluate, and iterate rapidly through live field trials in outdoor operational settings
Partner closely with controls, embedded, and hardware engineers to ensure system-wide coherence
Build tooling for visualization, logging, replay, and real-time debugging
Contribute to perception strategy and influence the ongoing roadmap for autonomy and intelligence

Qualifications

3+ years of professional experience developing ML/CV-based perception systems for robotics, autonomy, or embedded products
Demonstrated success deploying vision or ML models into constrained, real-time environments
Strong proficiency in Python and C++ for research and embedded development
Applied experience with object detection, classification, tracking, and related CV workflows
Hands-on background with sensor fusion techniques (EKF/UKF or similar) using camera + IMU data
Exposure to acoustic or audio-driven sensing methods
Familiarity with embedded inference platforms such as NVIDIA Jetson, Coral, or comparable systems
Ability to bring up hardware, debug drivers, and tune systems directly on embedded devices

Preferred Experience

Experience working on unmanned systems, robotics autonomy, counter-UAS, or advanced defense hardware
Understanding of model compression techniques (quantization, pruning, TensorRT optimization)
Knowledge of acoustic localization, filtering, and triangulation methods
Prior contributions within early-stage or fast-iteration engineering teams
Background with real-time, safety-critical, or mission-driven embedded systems

Why Join Us

Opportunity to serve as a key technical leader and founding contributor
Build real autonomous systems that move from concepts to field demonstrations quickly
High-trust engineering environment with fast decision cycles
Meaningful influence on technical direction, product strategy, and culture
Work on technology that directly contributes to protecting people and infrastructure
Competitive equity offering
Strong PTO and flexible working environment
Relocation support for candidates moving to Austin
Long-term growth and leadership opportunities as the company expands

Compensation Details $120,000 - $210,000

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