At BrightAI, we are transforming industries with cutting-edge AI, IoT, Cloud, and Mobile solutions. As a high-growth company, we seek talented individuals eager to drive meaningful change and shape the future of business operations. If you're ready to make an impact and be part of a team redefining what's possible, explore our current opportunities and build the future with us.
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The Supply Chain Manager is responsible for overseeing and optimizing the end-to-end supply chain operations, including procurement, inventory management, production planning, logistics, and supplier performance. This role ensures product availability, cost efficiency, quality standards, and on-time delivery while minimizing risk and improving operational performance.
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Apply to BrightAI CorporationBrightAI is a high-growth Physical-AI company transforming how businesses interact with the physical world through intelligent automation. We are building a cutting-edge AI platform that processes visual, spatial, and temporal data across billions of real-world events—from edge devices and mobile sensors to large-scale cloud systems.
We’re seeking a Cloud Engineer eager to take on the challenges of building the next generation of cloud-native applications and services in a fast-paced environment. You’ll work hands-on with cutting-edge technologies like drones, robots, industrial machinery, low-power devices packed full of sensors all communicating with cloud services. You’ll help architect and scale systems capable of processing hundreds of millions of events per day. In this role, you’ll have a direct impact on the design, scalability, and performance of our cloud platform, collaborating closely with world-class engineers as we continue to grow and innovate.
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Apply to BrightAI CorporationSenior Computer Vision/AI Engineer
BrightAI is a high-growth Physical-AI company transforming how businesses interact with the physical world through intelligent automation. We are building a cutting-edge AI platform that processes visual, spatial, and temporal data across billions of real-world events—from edge devices and mobile sensors to large-scale cloud systems.
Our team includes world-class engineers and researchers from companies like Microsoft, Amazon, Tesla, and Meta. We are now hiring a Senior Computer Vision / AI Engineer to help shape the future of real-time visual intelligence and deploy next-generation AI systems at scale.
This is an incredible opportunity to work on cutting-edge AI systems that are redefining physical infrastructure industries. You will work on applied research and production-level ML/AI 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. 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 ML model development — from data collection and labeling through deployment and monitoring in production environments.
Research and implement deep learning models for computer vision tasks including detection, segmentation, classification, tracking, and real-time inference.
Drive CV projects from prototyping to production, in alignment with product and platform goals.
Collaborate with product, hardware, and cloud teams to design end-to-end intelligent features across the stack.
Architect technically robust, scalable, and reliable AI systems in collaboration with cross-functional teams.
Solve complex physical-world challenges through structured experimentation and performance optimization.
Prioritize and manage multiple initiatives to ensure model performance, reliability, and compliance.
Stay at the forefront of ML/AI and foundational models, integrate key innovations into the product roadmap.
Evaluate emerging AI/ML trends and apply them to enable transformative infrastructure automation solutions.
Required Skills & Expertise:
7+ years of experience in computer vision and ML, with deep expertise in applied deep learning.
Proven ability to deliver production-grade AI/ML solutions in fast-paced, real-world environments.
Full-stack ML development lifecycle experience: data labeling and curation, model training, evaluation, optimization, and deployment.
Hands-on technical skills with DL frameworks (PyTorch or TensorFlow) and string programming skills in Python (C++ is a plus).
Hands-on experience with CNNs, YOLO, Vision Transformers, model compression, and real-time inference optimization.
Hands-on experience deploying models in cloud platforms (AWS/GCP/Azure) and edge devices using TensorRT, ONNX, or TFLite.
Strong problem solving and analytical skills, with the ability to convert ambiguity into actionable insights.
Excellent team work and collaboration skills; ability to work cross-functionally with software, hardware, and product teams.
Effective communicator, capable of conveying complex technical concepts to both technical and non-technical stakeholders.
Self-motivated, proactive, and thrives in a dynamic, fast-paced environment.
Educational Background:
PhD in Electrical Eng., Computer Science, or a related field with a focus on ML/AI for Computer Vision.
Demonstrated research experience in CV with a strong record of publications and/or patents.
Experience applying vision-based AI to real-time IoT systems or edge intelligence platforms.
Bonus Qualifications:
Applied experience in CV for surveillance, physical-world perception problems, remote sensing, or structural health monitoring.
Proficiency in Linux/Ubuntu environments; scripting and tooling around data and deployment workflows
Familiarity with Agile development practices and tools such JIRA, Git, Confluence.
Experience with embedded systems, Docker containers, or Linux-based deployment pipelines
Prior experience in startup or high-growth environments building zero-to-one AI solutions
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Apply to BrightAI CorporationCompany Overview:
We are a high-growth Physical AI company transforming how businesses interact with the physical world through intelligent automation. Our AI platform processes visual, spatial, and temporal data from billions of real-world events—captured across edge devices, mobile sensors, and cloud infrastructure—to enable intelligent decision-making at scale. We are searching for a Technical Program Manager to join our growing team.
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Skills and Expertise:
Bonus Criteria:
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Apply to BrightAI CorporationAs a Senior/Staff Embedded Linux Engineer at BrightAI, you will help support, maintain, and evolve an existing Yocto-based embedded Linux distribution used in production on custom hardware. This is a hands-on individual contributor role focused on improving platform reliability, maintainability, and scalability as the product and company grow. You will work closely with hardware, firmware, and application teams to support new hardware revisions, improve system behavior, and resolve complex system-level issues. This role also includes providing technical guidance and helping shape how the embedded Linux platform evolves over time.
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Apply to BrightAI CorporationBrightAI is a high-growth company at the forefront of AI, IoT, Cloud, and Mobile technologies. We are dedicated to revolutionizing industries and transforming the way businesses operate. Our team is composed of the best and brightest minds, many of whom have played key roles in leading companies such as Microsoft, Amazon Alexa, SmartThings, and Samsung. As we continue to expand, we are seeking innovative individuals to join us on this exciting journey.
We are looking for a Hardware Engineer to join our dynamic team in a fast-paced environment. As a Hardware Engineer at BrightAI, you will play a pivotal role in designing and building next-generation hardware / software / AI systems. You will be responsible for the design, component selection, layout, debug and validation for our world-class products.
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Apply to BrightAI CorporationSenior AI Engineer, Time-Series Signal Processing
Bright.AI is a high-growth Physical AI company transforming how businesses interact with the physical world through intelligent automation. Our platform processes visual, spatial, and temporal data from billions of real-world events—captured through edge devices, mobile sensors, and large-scale cloud infrastructure—to deliver intelligent, real-time decisions.
We are now hiring a Senior AI Engineer – Time-Series Signal Processing to lead the development of AI/ML solutions built on high-frequency multi-modal sensor data. This is a critical role focused on modeling and understanding time-series signals coming from IoT devices equipped with various sensors (IMU, acoustic, pressure, temperature, etc) that drive intelligent automation across physical infrastructure systems.
You’ll work on building cutting-edge real-time AI models that process noisy, high-throughput data streams and extract meaningful insights for real-world decision-making—at both the edge and cloud scale.
Responsibilities
Design and implement real-time signal processing and ML pipelines for multi-modal time-series data such as those acquired from IMUs, microphones, pressure or force sensors, ultrasonic transducers, and similar sensor sources.
Develop and deploy ML models for time-series classification, prediction, anomaly detection, activity recognition, condition monitoring and pattern analysis.
Lead research and implementation of RNN-based architectures (especially LSTMs and their variants) as well as temporal transformer models as needed.
Collaborate with hardware, embedded, and product teams to integrate models into edge devices and IoT platforms.
Drive experimentation and optimization of signal-processing techniques (e.g., filtering, feature extraction, event detection) to enhance model input quality.
Design and maintain scalable workflows for ingesting, labeling, training, and evaluating multi-channel time-series datasets.
Stay current with advances in time-series modeling, signal processing, and real-time inference, and incorporate them into product roadmaps.
Ensure model robustness, performance, and reliability in production environments, including edge deployments.
Educational Background
M.S. or Ph.D. in Electrical Engineering, Computer Science, or a related field, with a strong focus on signal processing, time-series analysis, and machine learning.
Strong academic or industry track record in time-series modeling, signal processing, or real-time AI systems.
Required Skills & Expertise
5+ years of experience developing signal processing and ML solutions for time-series sensor data. Track record of bringing at least one ML solution to market.
Deep understanding of digital signal processing (DSP) methods: filtering, sampling, windowing, FFT, feature extraction, etc.
Hands-on experience with RNNs (especially LSTMs/GRUs) and/or temporal convolutional networks for time-series modeling.
Proven experience with time-series data from physical sensors such as IMUs, microphones, vibration or pressure sensors.
Strong coding skills in Python and fluency with ML/DL frameworks (e.g., PyTorch, TensorFlow, Keras).
Experience in optimizing and deploying models in real-time or near-real-time environments, including edge devices or resource-constrained embedded systems.
Fluency with best practices in data labeling, augmentation, and evaluation for time-series tasks.
Excellent problem-solving and collaboration skills with the ability to work across teams.
Strong communication skills with the ability to convey findings and recommendations to internal and external stakeholders.
Bonus Qualifications
Experience building end-to-end AI systems for structural health monitoring, condition monitoring, anomaly detection, activity recognition, or motion tracking.
Proficiency in embedded software or deploying models to constrained environments (e.g., using TFLite, ONNX, or custom firmware).
Familiarity with containerized workflows and Linux-based development environments.
Experience with Agile workflows and tools such as JIRA, Git, and CI/CD pipelines.
Prior work in startup or high-pace teams with experience in building real-time systems from the ground up.
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Apply to BrightAI CorporationBright.AI is a high-growth Physical AI company transforming how businesses interact with the physical world through intelligent automation. Our AI platform processes visual, spatial, and temporal data from billions of real-world events—captured across edge devices, mobile sensors, and cloud infrastructure—to enable intelligent decision-making at scale.
We are now hiring a Senior AI Engineer – LLM, RAG to lead the development of Retrieval-Augmented Generation (RAG) systems that harness the power of large language models (LLMs) and real-world knowledge sources. This role is pivotal to building next-generation intelligent assistants that help technicians and operators troubleshoot complex issues in industrial settings.
You’ll work at the intersection of NLP, foundational models, and real-time information systems—developing intelligent tools that turn manuals, technician notes, and sensor data into actionable, conversational guidance for the physical world.
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Apply to BrightAI CorporationCookies & analytics
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