Senior Software Engineer, Perception

Anduril Industries

Quick summary

Work type: On-site
Location: Costa Mesa, CA
Salary: $220,000–$292,000 / yr
Posted: today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $256k

$98k most similar roles pay here $313k

This role pays more than 98% of similar roles. Most pay $142,400–$217,725 — the shaded band above. At the midpoint, this role pays about $256k versus about $180k for comparable roles.

Based on 240 similar postings.

Employer

About Anduril Industries

Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.

Anduril Industries currently has 1882 open roles on FindRole.

Listed pay typically runs $146,000–$194,000 across 1696 roles with salary data.

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View all roles at Anduril Industries

At a glance

TL;DR · Senior Software Engineer, Perception

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As a Senior Software Engineer specializing in Computer Vision and Machine Learning Engineering, you will join our team dedicated to advancing perception technologies for UAVs. Your primary responsibilities include developing and benchmarking machine learning algorithms on large-scale datasets, deploying models with TensorRT and ONNX, and working closely with the ML and Data Infra teams to construct performance benchmarks. You must be proficient in Python and deep learning frameworks like PyTorch and TensorFlow, and have hands-on experience with C++ or Python in a Linux environment. Ideal candidates will bring expertise in areas such as Object Detection, Tracking, Segmentation, Visual Odometry, SLAM, and Sensor Fusion, contributing to the development of cutting-edge perception solutions for autonomous systems at scale.

Skills

Python PyTorch TensorFlow CUDA C++ Linux ONNX TensorRT CI/CD

What you'll do

Develop and benchmark machine learning algorithms on large-scale datasets.
Construct benchmarks to analyze system performance with the ML team.
Deploy models using TensorRT and ONNX for optimized performance.
Write and maintain automated continuous integration tests for projects.
Specialize in areas like object detection, tracking, or semantic segmentation.

What we're looking for

MS or PhD in Machine Learning, Robotics, or Computer Science with a focus on Computer Vision.
4+ years of experience developing and benchmarking ML algorithms on large-scale datasets.
Experience deploying models using TensorRT and ONNX.
Proficiency in Python development and deep learning frameworks like PyTorch and TensorFlow.
Hands-on experience in C++ and/or Python within a Linux environment.
Expertise in Object Detection, Tracking, or related perception domains for UAVs.
Secret security clearance required.

Hybrid

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