Responsibilities
- Plan and execute innovative engineering development to advance the state-of-the-art in machine perception for AR/VR — including vision-language models (VLMs), multimodal and egocentric scene understanding, and foundation models
- Develop and prototype tightly integrated hardware/software technologies, from research prototype to on-device deployment
- Analyze and improve the efficiency, accuracy, scalability, and stability of currently deployed systems
- Design, implement, and evaluate algorithms against real sensor data and experimental hardware
- Build tooling and infrastructure (data pipelines, replay/evaluation systems, benchmarks) that accelerate the research team
- Collaborate with researchers and engineers across disciplines throughout the project lifecycle, and clearly communicate agenda, progress, and results
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 6+ years of C++ or Python experience building and shipping software systems
- Experience understanding, developing, and analyzing complex systems
- Experience with statistical analysis of data and mathematical modeling
- Interpersonal experience: cross-group and cross-functional collaboration
- Must obtain and maintain work authorization in the country of employment during employment
Preferred Qualifications
- Master's or PhD in Computer Science, Computer Vision, Machine Learning, or a related field
- Experience taking research prototypes to deployed products on constrained/embedded hardware
- Track record of results via first-authored publications at leading venues (CVPR, ICCV/ECCV, NeurIPS, ICLR, SIGGRAPH) or widely used open-source contributions
- Broad understanding of the full machine-perception pipeline, from sensors to high-level algorithms
- Experience with 3D computer vision, SLAM, vision-language models (VLMs), or multimodal learning
$154,003/year to $217,000/year + bonus + equity + benefits
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