Computer Vision Engineer

Principal Consultant | Edge AI, Computer Vision & Smart Manufacturing

Role: Staff Computer Vision & Machine Learning Engineer

Location: Austin

We're working with an emerging robotics organization developing autonomous systems designed to protect against modern airborne threats. Their platform combines high-speed perception, on-device intelligence, and tightly integrated hardware/software controls to identify and intercept small UAVs in real time.

The company operates with a deep engineering focus and is building a team of senior contributors who can influence architectural decisions, drive innovation, and help transform early-stage prototypes into deployable field systems.

This senior-level position centers on building the perception and machine intelligence stack for an autonomous counter-UAS platform. You’ll be responsible for designing robust computer vision pipelines, creating optimized ML models for low-latency environments, and ensuring seamless integration with custom hardware.

• Architect and refine real-time perception algorithms for detecting, tracking, and classifying airborne objects.
• Develop ML models that maintain performance under strict compute, latency, and reliability constraints.
• Collaborate with hardware, firmware, and systems teams to integrate vision pipelines into embedded architectures.
• Design test methodologies, evaluate performance across varied operational environments, and iterate toward greater resiliency.
• Provide technical leadership to less-experienced engineers and contribute to long-term ML/CV strategy.
• Support the evolution of early concept systems into ruggedized, mission-ready products.

• Strong enthusiasm for robotics, autonomy, and applied machine learning.
• Graduate-level degree in Computer Science, Electrical Engineering, or related technical field with emphasis on ML/CV.
• 9+ years of hands-on experience developing machine-learning-driven computer vision solutions.
• Experience shipping vision systems for real-time, autonomous, or safety-critical applications.
• Proficiency in Python and C++, along with experience using PyTorch, Tensor Flow, or similar ML tool chains.
• Experience deploying ML/CV algorithms onto embedded targets or specialized accelerators.
• Familiarity with sensing modalities such as optical cameras, LiDAR, and/or radar, and their integration into autonomy stacks.
• Collaborative mindset with a desire to guide teammates and tackle complex engineering problems.

• Salary: $200,000 (Possible flex, depending on Experience)
• Equity
• Strong PTO
• 401k
• Life Insurance
• Short/Long-Term Disability, Wellness Programs.

• Mid-Senior level

• Full-time

• Engineering and Information Technology

• Manufacturing, Defense and Space Manufacturing, and Appliances, Electrical, and Electronics Manufacturing

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