Autonomy Systems Architect

20 hours ago


San Mateo, California, United States Skydio Full time
Job Overview:
Skydio is the leading US drone company and a world leader in autonomous flight technology. The company combines expertise in AI, best-in-class hardware and software development, and operational excellence to empower a broader audience of drone users.

About the Role:
We are seeking a talented Deep Learning Engineer to join our team. As a key member of our autonomy system development team, you will be responsible for designing, implementing, and deploying computer vision and multimodal deep learning models for Skydio's products. You will work closely with our team to leverage massive amounts of real-world video and sensor data for data mining, curation, labeling, training, and evaluation.

Your Impact:
You will make a significant impact by refining and optimizing models for low-latency on embedded hardware, developing evaluation benchmarks and metrics to quantify the performance of autonomous systems, and being a generalist helping out on all aspects of the software when needed.

What Makes You a Good Fit:
To succeed in this role, you should have a strong background in computer science, electrical engineering, or a related discipline, with demonstrated hands-on experience designing, training, and deploying deep learning models. You should be able to deliver high-quality, well-architected code (Python/PyTorch and C++) and leverage state-of-the-art academic papers and literature for fast iteration. Additionally, you should be comfortable navigating and delivering within a complex codebase, possess strong communication skills, and thrive in a fast-paced, collaborative, and highly technical team environment.

Compensation:
The annual base salary range for this position is $170,000 - $277,500. Compensation will vary based on factors including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Skydio full-time employees are eligible to enroll in our benefit plans and take advantage of various incentives and stipends.

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