Senior Computer Vision Engineer

Anduril Industries

. Propose and prototype innovative solutions to solve real-world problems using state-of-the-art techniques .

Posted 10/15/2026full-timeRemote • California • United StatesSenior💰 $220,000 - $292,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing machine learning algorithms, particularly in deep learning and computer vision, while effectively collaborating across teams and mentoring junior engineers. Proficient in managing the end-to-end machine learning stack and deploying models for real-time applications.

Highest-signal resume keywords

Deep LearningComputer VisionC++ DevelopmentPython DevelopmentMachine Learning Algorithms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningComputer VisionML PipelinesMulti-Sensor Object DetectionData CollectionModel DeploymentPerformance BenchmarkingAutomated TestingSystem Profiling

Soft Skills

Technical MentorshipCollaboration

Tools & Technologies

PyTorchJAXTensorFlowTensorRTONNXLinux Environment

Certifications & Qualifications

U.S. Secret Security Clearance

Industry Keywords

Edge ComputeAutonomous SystemsPerformance TrendsAblation Studies

Tech Stack

Tools & technologies

LinuxPythonPyTorchTensorflowC++

About the role

Key responsibilities & impact

Propose and prototype innovative solutions to solve real-world problems using state-of-the-art techniques
Develop and maintain core ML pipelines
Train and deploy deep learning models for real-time applications
Collaborate cross-functionally with camera, systems and labeling teams
Curate datasets for evaluating performance and comparing performance trends over time
Provide technical mentorship to junior ML engineers
Own the whole machine learning stack for the Counter Intrusion team
Design and train multi-sensor object detection models for edge compute devices
Develop learning algorithms to optimize autonomous systems
Design, implement, and optimize the end-to-end ML stack, including data collection and training infrastructure
Identify and develop novel ML applications across Anduril's product portfolio

Requirements

What you’ll need

MS or PhD in Machine Learning, Robotics or Computer Science, with emphasis on Computer Vision
BS in Computer Science, Machine Learning, Electrical Engineering, or related field
6+ years of experience developing, benchmarking and optimizing ML algorithms on large-scale datasets
Strong Deep Learning and Computer Vision background
Proficiency in C++ development in a Linux environment
Experience with Python development and deep learning frameworks such as PyTorch, JAX and TensorFlow
Experience deploying models with TensorRT and ONNX
Ability to optimize on-device inference and vision kernels across CPU/GPU/NPU
Track record of developing and deploying CV models from R&D to production
Experience writing and maintaining automated continuous integration tests
Knowledge of system profiling and tuning for latency, memory and power efficiency
Ability to conduct experiments, ablation studies and create highly detailed reports
Eligible to obtain and maintain a U.S. Secret security clearance

Benefits

Comp & perks

Highly competitive equity grants included in the majority of full-time offers
Comprehensive, competitive benefits package available at little to no cost to employees
Top-tier benefits for full-time employees
Health, recovery, and broader employee support benefits