# Vincent Tang

> Software Engineer – Brain-Computer Interfaces

Location: Fremont, California, United States
Profile: https://flows.cv/vincenttang

Senior Software Engineer with 20+ years of progressive experience in high-performance computing, real-time sensor fusion, and brain-computer interfaces. Expertise in low-level optimization (C++/CUDA), multi-modal data processing in noisy environments, neural decoding, and closed-loop systems. Currently at Neuralink, building implantable BCI software for seamless thought-to-action translation in patients with motor impairments.

## Work Experience
### Software Engineer @ Neuralink
Jan 2023 – Present | Fremont, California, United States
Worked on neural decoding and application-level software for the N1 implant, supporting real-time intent prediction and adaptive feedback in user interaction tasks such as cursor control and text entry.
Helped improve interaction accuracy and usability through iterative tuning of decoding parameters and closed-loop visual feedback, informed by patient sessions and clinical feedback.
Built and maintained high-bandwidth neural data pipelines handling thousands of channels with tight latency constraints, following FDA and IEC 62304 requirements for medical software.
Collaborated closely with clinicians, researchers, and patients to refine calibration workflows and improve long-term reliability of BCI applications.

### Senior System Software Engineer @ Cruise LLC (General Motors)
Jan 2017 – Jan 2023
Developed and maintained real-time multi-sensor fusion pipelines combining lidar, radar, and camera data for urban autonomous driving.
Implemented object tracking and sensor fusion algorithms, including Kalman-filter-based approaches, to improve robustness under sensor noise, occlusion, and adverse conditions.
Worked on performance tuning and latency reduction across the perception stack to support large-scale on-road testing and safety validation.
Partnered with mapping, planning, and safety teams to ensure perception outputs were reliable and usable in production driving systems.

### Software Engineer @ NVIDIA
Jan 2004 – Jan 2017
Worked on performance-critical C++ and CUDA components for real-time graphics and physics systems, with a focus on latency reduction and predictable execution.
Applied cache-aware memory layouts, low-level optimization techniques, and hardware-software co-design to improve throughput and determinism.
Contributed to internal GPU compute platforms used across multiple product generations.


## Education
### Master of Science in Computer Science
Carnegie Mellon University

### Bachelor of Science in Computer Engineering
National University of Singapore

### DEA in droit des affaires
Faculté de droit Aix en Provence


## Contact & Social
- LinkedIn: https://linkedin.com/in/vincent-tang-512679108

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Source: https://flows.cv/vincenttang
JSON Resume: https://flows.cv/vincenttang/resume.json
Last updated: 2026-04-11