BrightAI
Palo Alto, California
Staff Hardware Engineer at BrightAI BrightAI 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. 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. Responsibilities Define and capture hardware system features, functions, and interfaces, guiding products seamlessly through their developmental and certification processes Lead and oversee the entire lifecycle of a hardware project, from conceptualization to production, ensuring all aspects align with project goals and specifications Specify, construct, and present proof-of-concept hardware, demonstrating a deep understanding of its functionality and potential Collaborate with both domestic and international suppliers, fostering effective communication and maintaining strong working relationships Establish and uphold comprehensive company-wide hardware development processes, adhering to industry standards such as CMMI or equivalent methodologies Identify, integrate, and troubleshoot issues in both mechanical and electrical hardware components, ensuring seamless system functionality Proficiently create and maintain circuit schematics and PCB layouts using Altium or Cadence tools, demonstrating precision and attention to detail Facilitate the successful initiation of new circuit boards containing ARM CPUs and MCUs, managing the entire process from conception to implementation Develop and execute hardware verification test plans, ensuring the robustness and reliability of the hardware solutions Contribute to the creation of board support packages for Linux OS, including the installation and modification of software drivers as needed Innovate electrical architecture solutions to optimize designs for the unique requirements of each new project Design, model, simulate, and verify both analog and digital circuits to meet project specifications and performance criteria Skillfully layout and optimize routing on PCBs, with a focus on high-speed buses to enhance overall system performance Provide essential support to software engineering in development and troubleshooting efforts, fostering a collaborative and cohesive work environment Undertake travel as necessary to support critical hardware bring-up, manufacturing processes, and customer support initiatives Fulfill other duties as assigned, contributing to the overall success and efficiency of the hardware development team Skills and Expertise Bachelor's or Master's degree in Electrical Engineering Over 7 years of hands-on experience with a strong emphasis on circuit board design Knowledge of embedded system design, encompassing circuit design, testing, debugging, and firmware development Strong skills in analog and mixed-signal circuit design and simulation Experience in selecting, interfacing, and configuring camera sensors Experience in designing and implementing digital interfaces, including MIPI (camera and display), USB, I2C/SPI, SDIO, UART as well as wireless protocols such as LTE, Bluetooth, and Wi-Fi/Bluetooth Regulatory experience, particularly with FCC and PTCRB certifications and familiarity with electronics test instruments (oscilloscopes, logic analyzers, meters, spectrum analyzers, etc.) Familiarity with video pipeline principals Applied knowledge of modern printed circuit board schematic and layout design software (Altium or Cadence) Excellent written and verbal communication skills with the ability to present a strong rationale for design decisions Proficient soldering skills, including placing and replacing both Surface Mount Technology (SMT) and thru-hole components; IPC-610 certification preferred Familiarity with using and testing software in the Linux operating system Understanding of verification and validation strategies/execution Bonus Expertise in wireless antenna design, simulation, and testing Skills in Python and Bash scripting Experience with Docker container technology Hands-on knowledge of Product Lifecycle Management (PLM) Systems Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Software Development Location: Mountain View, CA
Staff Hardware Engineer at BrightAI BrightAI 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. 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. Responsibilities Define and capture hardware system features, functions, and interfaces, guiding products seamlessly through their developmental and certification processes Lead and oversee the entire lifecycle of a hardware project, from conceptualization to production, ensuring all aspects align with project goals and specifications Specify, construct, and present proof-of-concept hardware, demonstrating a deep understanding of its functionality and potential Collaborate with both domestic and international suppliers, fostering effective communication and maintaining strong working relationships Establish and uphold comprehensive company-wide hardware development processes, adhering to industry standards such as CMMI or equivalent methodologies Identify, integrate, and troubleshoot issues in both mechanical and electrical hardware components, ensuring seamless system functionality Proficiently create and maintain circuit schematics and PCB layouts using Altium or Cadence tools, demonstrating precision and attention to detail Facilitate the successful initiation of new circuit boards containing ARM CPUs and MCUs, managing the entire process from conception to implementation Develop and execute hardware verification test plans, ensuring the robustness and reliability of the hardware solutions Contribute to the creation of board support packages for Linux OS, including the installation and modification of software drivers as needed Innovate electrical architecture solutions to optimize designs for the unique requirements of each new project Design, model, simulate, and verify both analog and digital circuits to meet project specifications and performance criteria Skillfully layout and optimize routing on PCBs, with a focus on high-speed buses to enhance overall system performance Provide essential support to software engineering in development and troubleshooting efforts, fostering a collaborative and cohesive work environment Undertake travel as necessary to support critical hardware bring-up, manufacturing processes, and customer support initiatives Fulfill other duties as assigned, contributing to the overall success and efficiency of the hardware development team Skills and Expertise Bachelor's or Master's degree in Electrical Engineering Over 7 years of hands-on experience with a strong emphasis on circuit board design Knowledge of embedded system design, encompassing circuit design, testing, debugging, and firmware development Strong skills in analog and mixed-signal circuit design and simulation Experience in selecting, interfacing, and configuring camera sensors Experience in designing and implementing digital interfaces, including MIPI (camera and display), USB, I2C/SPI, SDIO, UART as well as wireless protocols such as LTE, Bluetooth, and Wi-Fi/Bluetooth Regulatory experience, particularly with FCC and PTCRB certifications and familiarity with electronics test instruments (oscilloscopes, logic analyzers, meters, spectrum analyzers, etc.) Familiarity with video pipeline principals Applied knowledge of modern printed circuit board schematic and layout design software (Altium or Cadence) Excellent written and verbal communication skills with the ability to present a strong rationale for design decisions Proficient soldering skills, including placing and replacing both Surface Mount Technology (SMT) and thru-hole components; IPC-610 certification preferred Familiarity with using and testing software in the Linux operating system Understanding of verification and validation strategies/execution Bonus Expertise in wireless antenna design, simulation, and testing Skills in Python and Bash scripting Experience with Docker container technology Hands-on knowledge of Product Lifecycle Management (PLM) Systems Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Software Development Location: Mountain View, CA
BrightAI
Palo Alto, California
Bright.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. Responsibilities Lead the architecture and development of RAG systems that combine LLMs (e.g., LLAMA, Mistral, Claude, GPT) with structured and unstructured external information sources. Develop AI powered assistants to support technicians in diagnosing and resolving anomalies or failures in factory, plant, or industrial settings. Build pipelines to ingest, preprocess, and index large corpora of documents (manuals, logs, notes, procedures) for semantic search and grounding. Customize and fine tune foundational models to incorporate domain specific language, tone, and logic for industrial troubleshooting scenarios. Collaborate with product, data, and cloud teams to design scalable, privacy compliant, and latency sensitive LLM applications. Design evaluation strategies to measure performance, accuracy, and user experience of RAG enabled systems in production settings. Stay up to date with the latest advances in LLM architectures, retrieval methods, and prompt engineering, and integrate emerging techniques into the product roadmap. Educational Background M.S. or Ph.D. in Computer Science, AI, Machine Learning, or a related field, with specialization in NLP or deep learning. Strong research or applied background in large language models (LLMs) and retrieval augmented generation (RAG) systems. Agentic RAG experience is highly desirable. Required Skills & Expertise 5+ years of experience in machine learning or AI with a strong focus on NLP, LLMs, or conversational AI. Fluency with modern LLMs and open source foundational models (e.g., LLAMA, Falcon, Mistral, GPT, Claude). Experience building RAG pipelines with tools like LangChain, LlamaIndex, or custom vector database integrations, with at least one production grade system built. Fluency with prompt engineering, instruction tuning, or fine tuning open source models. Deep understanding of document retrieval (semantic search, embedding generation, similarity metrics) and vector stores (e.g., FAISS, Weaviate, Pinecone). Strong foundation in core machine learning techniques, including experience with reinforcement learning (RL) or decision making models. Proficiency with ML development frameworks such as PyTorch, Hugging Face Transformers, or similar. Strong Python programming is a must. Experience integrating AI systems into real world applications with user facing interfaces and operational constraints. Excellent problem solving and critical thinking skills; ability to design solutions for complex, ambiguous problems. Strong written and verbal communication skills, with ability to collaborate cross functionally with engineers, product managers, and domain experts. Bonus Qualifications Experience applying LLMs in industrial or physical infrastructure settings (e.g., manufacturing, logistics, utilities, energy). Knowledge of industrial control systems, maintenance workflows, or technician support processes. Exposure to multimodal models or integrating textual data with sensor and/or time series data. Prior experience in a startup or a fast paced environment building LLM powered products from the ground up.
Bright.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. Responsibilities Lead the architecture and development of RAG systems that combine LLMs (e.g., LLAMA, Mistral, Claude, GPT) with structured and unstructured external information sources. Develop AI powered assistants to support technicians in diagnosing and resolving anomalies or failures in factory, plant, or industrial settings. Build pipelines to ingest, preprocess, and index large corpora of documents (manuals, logs, notes, procedures) for semantic search and grounding. Customize and fine tune foundational models to incorporate domain specific language, tone, and logic for industrial troubleshooting scenarios. Collaborate with product, data, and cloud teams to design scalable, privacy compliant, and latency sensitive LLM applications. Design evaluation strategies to measure performance, accuracy, and user experience of RAG enabled systems in production settings. Stay up to date with the latest advances in LLM architectures, retrieval methods, and prompt engineering, and integrate emerging techniques into the product roadmap. Educational Background M.S. or Ph.D. in Computer Science, AI, Machine Learning, or a related field, with specialization in NLP or deep learning. Strong research or applied background in large language models (LLMs) and retrieval augmented generation (RAG) systems. Agentic RAG experience is highly desirable. Required Skills & Expertise 5+ years of experience in machine learning or AI with a strong focus on NLP, LLMs, or conversational AI. Fluency with modern LLMs and open source foundational models (e.g., LLAMA, Falcon, Mistral, GPT, Claude). Experience building RAG pipelines with tools like LangChain, LlamaIndex, or custom vector database integrations, with at least one production grade system built. Fluency with prompt engineering, instruction tuning, or fine tuning open source models. Deep understanding of document retrieval (semantic search, embedding generation, similarity metrics) and vector stores (e.g., FAISS, Weaviate, Pinecone). Strong foundation in core machine learning techniques, including experience with reinforcement learning (RL) or decision making models. Proficiency with ML development frameworks such as PyTorch, Hugging Face Transformers, or similar. Strong Python programming is a must. Experience integrating AI systems into real world applications with user facing interfaces and operational constraints. Excellent problem solving and critical thinking skills; ability to design solutions for complex, ambiguous problems. Strong written and verbal communication skills, with ability to collaborate cross functionally with engineers, product managers, and domain experts. Bonus Qualifications Experience applying LLMs in industrial or physical infrastructure settings (e.g., manufacturing, logistics, utilities, energy). Knowledge of industrial control systems, maintenance workflows, or technician support processes. Exposure to multimodal models or integrating textual data with sensor and/or time series data. Prior experience in a startup or a fast paced environment building LLM powered products from the ground up.