BrightAI is a hyper-growth Infrastructure AIoT copilot platform company with a mission to revitalize and automate western infrastructure. Our commitment lies in empowering major infrastructure…
BrightAI is a hyper-growth Infrastructure AIoT copilot platform company with a mission to revitalize and automate western infrastructure. Our commitment lies in empowering major infrastructure…
Product: Stateful OS — edge + multimodal AI platform for infrastructure monitoring and autonomous operations
Scale: >250,000 AI endpoints across 25,000+ sites (reported)
Revenue milestone: $80M reported while bootstrapped
Funding: $15M seed (Nov 2024); $51M Series A (Jul 2025) reported
Company Overview
Problem Domain
Infrastructure monitoring, inspection, and autonomous operations for critical physical systems
Founded
2019
Industry
Software Development
Funding Track Record
Seed- Nov 2024
$15M
Raised after bootstrapping to reported revenue
Series A- Jul 18, 2025
$51M
Reported participation from BoxGroup, Marlinspike, VSC Ventures, Rsquared VC, Cooley LLP, and others
Investor Signal
“Backed by prominent venture firms including Upfront Ventures (seed) and Khosla Ventures & Inspired Capital (Series A)”
Founders
What we do
Join the Team
Staff Computer Vision/AI Engineer
On-SitePalo Alto, US
On-Site • Palo Alto, US
Related Companies
Company
HQ
Industry
Total Funding
VECROS
🇮🇳Bengaluru, IN
DeepTechHardwareManufacturing
$284K
OM Defence Systems
🇺🇸San Francisco, US
DeepTechManufacturingTransportation
-
Skild AI
🇺🇸US
Data and AnalyticsDeepTechHardwareInformation TechnologySoftware
-
Eridu
🇺🇸Saratoga, US
DeepTechManufacturing
-
Prodigy Technovations Pvt Ltd
🇮🇳Bengaluru, IN
Consumer ProductsDeepTechHardwareManufacturing
-
We are a high-growth company that is looking for teammates who want to be key contributors to changing the way businesses interact with the physical world through intelligent automation. This is an incredible opportunity to work on cutting-edge AI systems that are disrupting industries. Be a part of scaling a platform that processes real-world visual, spatial, and temporal data from billions of events across edge devices, mobile sensors, and cloud infrastructure. We have the best and brightest minds in AI, Computer Vision, IoT, and Cloud who have built industry-defining technologies at companies like Microsoft, Amazon, Tesla, and Meta.
We are looking for an experienced Staff Computer Vision/AI Engineer to join our high-performing team to build next-generation visual intelligence solutions. You will work on applied research and production-level machine learning systems that power real-time decision-making across devices and services. This role requires deep expertise in computer vision, machine learning, and AI system design, with a strong focus on solving real-world problems in scalable and impactful ways. You'll work alongside world-class engineers and product leaders to define, build, and ship state-of-the-art AI features that are embedded into our platform.
Responsibilities
Lead the full lifecycle of computer vision and machine learning model development — from data collection and labeling through deployment and monitoring in production environments
Skills And Expertise
7+ years of experience in machine learning, with a strong focus on computer vision and applied deep learning
Proven track record of delivering AI/ML solutions from research to production in fast-paced, real-world environments
Bonus Criteria
Experience applying AI/ML based CV solutions to real-world IoT systems or edge intelligence platforms (e.g., surveillance, monitoring, and anomaly detection)
Proficiency in Linux/Ubuntu environments; comfort with scripting and tooling around data and deployment workflows
Familiarity with Agile methodologies and collaborative development tools (JIRA, Git, etc.)
Background with embedded systems, containers (Docker), or Linux-based deployment pipelines
Prior experience in startup or high-growth environments, especially building 0-to-1 AI solutions
Startup jobs. A lot of them.
Your next opportunity is in here somewhere. Sign up to explore 52,000+ startups and their open roles. No spam. No gamification. Just jobs.
52,000+
Startups
59,000+
Open Roles
2,000+
New This Week
Technical Writer
Part-timeTel Aviv
Part-time • Tel Aviv
Backend Developer
InternshipBelgrade, RS
Internship • Belgrade, RS
Backend Developer
Part-timeHamburg, DE
Part-time • Hamburg, DE
Data Scientist
InternshipNew York, US
Internship • New York, US
Backend Developer
Part-timeUtrecht, NL
Part-time • Utrecht, NL
Product Designer
InternshipNew York, US
Internship • New York, US
Lead research and implementation of deep learning models for vision tasks such as detection, segmentation, classification, tracking, and real-time inference
Help in planning and executing AI/ML project phases in alignment with product and platform goals, from prototyping to scalable production rollouts
Work closely with product, hardware, and cloud teams to design end-to-end intelligent features integrated into devices and applications
Help in designing and building scalable pipelines for training, evaluating, and deploying models on both cloud and edge platforms
Develop logical solutions to complex physical-world problems using structured experimentation and performance tuning
Team with other senior engineers and cross-functional partners to architect technically sound, performant, and reliable AI systems
Prioritize and manage multiple initiatives, ensuring that all models and systems meet quality, performance, and compliance standards
Stay current with advancements in Computer Vision ML and AI, particularly in foundational vision models, and bring those innovations into the product roadmap
Understand the real-world implications of emerging AI/ML trends and apply them to support business transformation through intelligent automation
Experience with the full ML development lifecycle — data processing, model training, evaluation, optimization, and deployment
Deep hands-on technical skills with frameworks such as PyTorch or TensorFlow, and programming expertise in Python (C++ is a plus)
Deep expertise in convolutional and transformer-based vision models, model compression, and inference optimization
Experience deploying models in cloud environments (AWS/GCP/Azure) as well as to edge devices (using TensorRT, ONNX, or TFLite)
Excellent team work and collaboration skills; ability to work cross-functionally across software, hardware, and product teams
Strong problem-solving skills and the ability to translate ambiguous challenges into measurable solutions
Ability to communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders
Self-driven, proactive, and thrives in a dynamic, startup-like environment
