Senior Engineer (ML/AI)
$107K - $146.90K/yr
... OpenVINO targeting CPU, GPU, and NPU backends • Build pipelines for training, evaluation, benchmarking, and regression testing • Define and improve accuracy, latency, and resource metrics • ...
Senior Engineer (ML/AI)
$107K - $146.90K/yr
... OpenVINO targeting CPU, GPU, and NPU backends • Build pipelines for training, evaluation, benchmarking, and regression testing • Define and improve accuracy, latency, and resource metrics • ...
Senior Engineer (ML/AI)
$107K - $146.90K/yr
... OpenVINO targeting CPU, GPU, and NPU backends • Build pipelines for training, evaluation, benchmarking, and regression testing • Define and improve accuracy, latency, and resource metrics • ...
Senior Engineer (ML/AI)
$107K - $146.90K/yr
... OpenVINO targeting CPU, GPU, and NPU backends • Build pipelines for training, evaluation, benchmarking, and regression testing • Define and improve accuracy, latency, and resource metrics • ...
Senior Machine Learning Engineer - Fine-Tuning and On-device AI
Palo Alto, CA · On-site
$120K - $215K/yr
Optimize models for low-latency inference using frameworks like OpenVINO, ONNX Runtime, QNN etc.. * Data Pipeline & Deployment * Build robust data pipelines for domain-specific datasets, including ...
Senior Machine Learning Engineer - Fine-Tuning and On-device AI
Palo Alto, CA · On-site
$120K - $215K/yr
Optimize models for low-latency inference using frameworks like OpenVINO, ONNX Runtime, QNN etc.. * Data Pipeline & Deployment * Build robust data pipelines for domain-specific datasets, including ...
Computer Vision Engineer
Richardson, TX · On-site
$101.30K - $119.40K/yr
Solid knowledge of machine learning frameworks and tools - PyTorch, OpenVino, TensorRT, OpenCV, NumPy etc. * Solid knowledge of developing convolution neural networks from scratch. * Experience with ...
Computer Vision Engineer
Richardson, TX · On-site
$101.30K - $119.40K/yr
Solid knowledge of machine learning frameworks and tools - PyTorch, OpenVino, TensorRT, OpenCV, NumPy etc. * Solid knowledge of developing convolution neural networks from scratch. * Experience with ...
Senior Machine Learning Engineer - Fine-Tuning and On-device AI
Palo Alto, CA · On-site
$120K - $215K/yr
Optimize models for low-latency inference using frameworks like OpenVINO, ONNX Runtime, QNN etc.. * Data Pipeline & Deployment * Build robust data pipelines for domain-specific datasets, including ...
Senior Machine Learning Engineer - Fine-Tuning and On-device AI
Palo Alto, CA · On-site
$120K - $215K/yr
Optimize models for low-latency inference using frameworks like OpenVINO, ONNX Runtime, QNN etc.. * Data Pipeline & Deployment * Build robust data pipelines for domain-specific datasets, including ...
PyTorch, TensorFlow, ONNX Runtime, TVM, TensorRT, or OpenVINO. * Understanding of low-level hardware acceleration (e.g., SIMD, AVX, Tensor Cores, VNNI). * Familiarity with compiler optimizations for ...
PyTorch, TensorFlow, ONNX Runtime, TVM, TensorRT, or OpenVINO. * Understanding of low-level hardware acceleration (e.g., SIMD, AVX, Tensor Cores, VNNI). * Familiarity with compiler optimizations for ...
Machine Learning Engineer
Cambridge, MA · On-site +1
Experience with ONNX, TensorRT, or OpenVINO for deployment. * Robotics middleware (ROS2). * SLAM, 3D perception, or sensor fusion (LiDAR, IMU). * Real-time or low-latency inference pipelines. Why ...
Quick apply
Machine Learning Engineer
Cambridge, MA · On-site +1
Experience with ONNX, TensorRT, or OpenVINO for deployment. * Robotics middleware (ROS2). * SLAM, 3D perception, or sensor fusion (LiDAR, IMU). * Real-time or low-latency inference pipelines. Why ...
Experience with OpenCV, TensorRT, or OpenVINO for vision optimization. * Familiarity with ML frameworks like PyTorch or TensorFlow . * Knowledge of industrial protocols (MQTT, WebSockets) for real ...
Experience with OpenCV, TensorRT, or OpenVINO for vision optimization. * Familiarity with ML frameworks like PyTorch or TensorFlow . * Knowledge of industrial protocols (MQTT, WebSockets) for real ...
Nvidia CUDA/HPC, Intel OpenVINO/OneAPI * AI Model Performance Optimization * Responsible AI Cloud AI Platforms: * AWS Bedrock, GCP Vertex AI, Azure OpenAI, IBM Watsonx Top AI Models: * Llama, Gemini ...
Quick apply
Nvidia CUDA/HPC, Intel OpenVINO/OneAPI * AI Model Performance Optimization * Responsible AI Cloud AI Platforms: * AWS Bedrock, GCP Vertex AI, Azure OpenAI, IBM Watsonx Top AI Models: * Llama, Gemini ...
Software Engineer - ML Infrastructure
San Francisco, CA · On-site
$203.80K - $241.50K/yr
Strong experience with ML frameworks (PyTorch, TensorFlow) and model optimization tools (TensorRT, ONNX Runtime, OpenVINO). * Deep understanding of computer vision architectures and their deployment ...
Software Engineer - ML Infrastructure
San Francisco, CA · On-site
$203.80K - $241.50K/yr
Strong experience with ML frameworks (PyTorch, TensorFlow) and model optimization tools (TensorRT, ONNX Runtime, OpenVINO). * Deep understanding of computer vision architectures and their deployment ...
Sr. Staff Engineer, Machine Learning Engineering (Quantization SW)
San Diego, CA · On-site
$110.90K - $152.40K/yr
... OpenVino. • Proven hands-on experience establishing a high-quality software delivery process using industry best-practices (code review, CI/CD, automation, etc.) is a plus. Company : Qualcomm ...
Sr. Staff Engineer, Machine Learning Engineering (Quantization SW)
San Diego, CA · On-site
$110.90K - $152.40K/yr
... OpenVino. • Proven hands-on experience establishing a high-quality software delivery process using industry best-practices (code review, CI/CD, automation, etc.) is a plus. Company : Qualcomm ...
$122.40K - $161.30K/yr
Prior experience with AI frameworks and engines, such as TensorRT, PyTorch, ONNX, OpenVINO, vLLM, or TRT-LLM. * Knowledge of GPU memory management, cache management, or high-performance networking.
Senior System Software Engineer - Dynamo-Triton Inference Server
$139.40K - $183.80K/yr
Prior experience with AI frameworks and engines, such as TensorRT, PyTorch, ONNX, OpenVINO, vLLM, or TRT-LLM. * Knowledge of GPU memory management, cache management, or high-performance networking.
Senior System Software Engineer - Dynamo-Triton Inference Server
$139.40K - $183.80K/yr
Prior experience with AI frameworks and engines, such as TensorRT, PyTorch, ONNX, OpenVINO, vLLM, or TRT-LLM. * Knowledge of GPU memory management, cache management, or high-performance networking.
Senior System Software Engineer - Dynamo-Triton Inference Server
Santa Clara, CA · On-site
$143.90K - $189.70K/yr
Prior experience with AI frameworks and engines, such as TensorRT, PyTorch, ONNX, OpenVINO, vLLM, or TRT-LLM. * Knowledge of GPU memory management, cache management, or high-performance networking.
Senior System Software Engineer - Dynamo-Triton Inference Server
Santa Clara, CA · On-site
$143.90K - $189.70K/yr
Prior experience with AI frameworks and engines, such as TensorRT, PyTorch, ONNX, OpenVINO, vLLM, or TRT-LLM. * Knowledge of GPU memory management, cache management, or high-performance networking.
Senior System Software Engineer - Dynamo-Triton Inference Server
$143.90K - $189.70K/yr
Prior experience with AI frameworks and engines, such as TensorRT, PyTorch, ONNX, OpenVINO, vLLM, or TRT-LLM. * Knowledge of GPU memory management, cache management, or high-performance networking.
Senior System Software Engineer - Dynamo-Triton Inference Server
$143.90K - $189.70K/yr
Prior experience with AI frameworks and engines, such as TensorRT, PyTorch, ONNX, OpenVINO, vLLM, or TRT-LLM. * Knowledge of GPU memory management, cache management, or high-performance networking.
Proficiency in C or C++ and at least one of Python, Typescript, Node.JS, OpenVINO, or Go What We Offer * Medical, dental and vision benefits plus FSA * Family leave * 401(k) program * Unlimited Flex ...
Proficiency in C or C++ and at least one of Python, Typescript, Node.JS, OpenVINO, or Go What We Offer * Medical, dental and vision benefits plus FSA * Family leave * 401(k) program * Unlimited Flex ...
Practical experience implementing CV ML models using deep learning inference engines such as OpenCV, TensorRT, TensorFlow/Keras/TensorFlow Lite, PyTorch, OpenVINO, and/or Qualcomm Neural Processing ...
Practical experience implementing CV ML models using deep learning inference engines such as OpenCV, TensorRT, TensorFlow/Keras/TensorFlow Lite, PyTorch, OpenVINO, and/or Qualcomm Neural Processing ...
Proficiency in C or C++ and at least one of Python, Typescript, Node.JS, OpenVINO, or Go What We Offer * Medical, dental and vision benefits plus FSA * Family leave * 401(k) program * Unlimited Flex ...
Proficiency in C or C++ and at least one of Python, Typescript, Node.JS, OpenVINO, or Go What We Offer * Medical, dental and vision benefits plus FSA * Family leave * 401(k) program * Unlimited Flex ...
Software Engineer IV
Wilmington, MA · On-site
Practical experience implementing CV ML models using deep learning inference engines such as OpenCV, TensorRT, TensorFlow/Keras/TensorFlow Lite, PyTorch, OpenVINO, and/or Qualcomm Neural Processing ...
Software Engineer IV
Wilmington, MA · On-site
Practical experience implementing CV ML models using deep learning inference engines such as OpenCV, TensorRT, TensorFlow/Keras/TensorFlow Lite, PyTorch, OpenVINO, and/or Qualcomm Neural Processing ...
Must have experience exporting and serving models (ONNX, TensorRT/OpenVINO), containerization (Docker), and CI/CD for ML services. * Must be able to communicate effectively and translate model ...
Must have experience exporting and serving models (ONNX, TensorRT/OpenVINO), containerization (Docker), and CI/CD for ML services. * Must be able to communicate effectively and translate model ...
Openvino information
What are the key skills and qualifications needed to thrive as an OpenVINO Developer, and why are they important?
To thrive as an OpenVINO Developer, you need a solid background in computer vision, deep learning, and proficiency in Python or C++, often supported by a degree in computer science or a related field. Familiarity with the OpenVINO toolkit, neural network optimization, and frameworks like TensorFlow or PyTorch is essential. Strong problem-solving skills, attention to detail, and effective communication help developers collaborate and innovate in deploying AI solutions. These skills ensure optimized AI performance on edge devices and successful integration of machine learning models into production environments.
What are some common challenges faced by professionals working with OpenVINO in deploying AI models to edge devices?
Professionals working with OpenVINO often encounter challenges related to optimizing and converting AI models to ensure they run efficiently on diverse edge hardware. These challenges include ensuring compatibility with various device architectures, minimizing inference latency, and handling limitations in memory and compute resources. Additionally, troubleshooting model conversion errors and maintaining accuracy during optimization are frequent tasks. Collaboration with hardware engineers and software developers is also essential to address performance bottlenecks and integrate solutions smoothly into production environments.
What is OpenVINO and what is it used for?
OpenVINO (Open Visual Inference and Neural Network Optimization) is a free toolkit developed by Intel to help developers optimize and deploy AI inference, particularly deep learning models, across Intel hardware such as CPUs, GPUs, VPUs, and FPGAs. It is mainly used for accelerating computer vision applications like image classification, object detection, and facial recognition. OpenVINO streamlines the process of converting and optimizing models from popular frameworks, making them faster and more efficient for edge and cloud deployments.
What is the difference between Openvino vs Computer Vision Engineer?
| Aspect | Openvino | Computer Vision Engineer |
|---|---|---|
| Required Credentials | Knowledge of AI frameworks, hardware optimization, programming skills | Degree in Computer Science, Electrical Engineering, or related fields; experience in AI and image processing |
| Work Environment | Tech companies, AI development labs, hardware manufacturers | Research institutions, tech firms, startups, or industry-specific companies |
| Employer & Industry Usage | Primarily used in AI inference optimization, embedded systems, and hardware acceleration | Developing and implementing computer vision algorithms for applications like surveillance, robotics, and autonomous vehicles |
Openvino focuses on optimizing AI inference workloads and hardware acceleration, often requiring knowledge of AI frameworks and hardware. In contrast, a Computer Vision Engineer designs and develops vision algorithms, working across various industries. While both roles involve AI and image processing, Openvino is more specialized in deployment and optimization, whereas Computer Vision Engineers focus on algorithm development and application.
More about Openvino jobs
What cities are hiring for Openvino jobs? Cities with the most Openvino job openings:
What states have the most Openvino jobs? States with the most job openings for Openvino jobs include:
What job categories do people searching Openvino jobs look for? The top searched job categories for Openvino jobs are:
$107K - $146.90K/yr
Full-time
Posted 5 days ago
Job description
Job Summary:
Cephable is an innovative company focused on privacy-first, on-device AI solutions. They are seeking a Lead Machine Learning Engineer to advance their core ML systems, with responsibilities that include model development, optimization, and deployment for various applications.
Responsibilities:
• Design, train, fine-tune, and evaluate ML models for speech recognition, generative and reasoning models, and multimodal inference
• Adapt open-source and foundation models using Hugging Face and related tooling
• Translate research ideas into production-ready systems
• Optimize models for low-latency, low-power, offline execution
• Perform quantization, pruning, and distillation
• Deploy models via ONNX Runtime and OpenVINO targeting CPU, GPU, and NPU backends
• Build pipelines for training, evaluation, benchmarking, and regression testing
• Define and improve accuracy, latency, and resource metrics
• Partner with application and platform engineers to ensure seamless ML integration
• Communicate model performance, architectural decisions, and technical tradeoffs clearly to both technical and non-technical stakeholders
• Own Cephable’s ML architecture
• Set best practices and mentor team members
• Evaluate new tools, frameworks, and hardware
• Mentor engineers across the team on ML concepts and practices as the org grows
Qualifications:
Required:
• 4+ years of experience in machine learning or ML systems
• Strong PyTorch experience
• Hands-on experience with Hugging Face
• Production deployment using ONNX Runtime and/or OpenVINO
• Experience with acceleration frameworks like CUDA and GPU workflows
• Strong software engineering skills (Python, C++, or systems-level experience)
• Excellent communication skills — able to explain complex ML concepts, tradeoffs, and decisions clearly to engineers, product stakeholders, and non-technical partners alike
Preferred:
• Speech recognition or voice assistant experience
• LLMs, SLMs, or reasoning models
• Multimodal ML experience
• Edge or on-device AI background
• Experience with QNN, WinML, and CoreML
Company:
Cephable offers an ambient user interface platform that enables control of digital tools. Founded in 2023, the company is headquartered in Boston, USA, with a team of 11-50 employees. The company is currently Early Stage.
Cephable is an innovative company focused on privacy-first, on-device AI solutions. They are seeking a Lead Machine Learning Engineer to advance their core ML systems, with responsibilities that include model development, optimization, and deployment for various applications.
Responsibilities:
• Design, train, fine-tune, and evaluate ML models for speech recognition, generative and reasoning models, and multimodal inference
• Adapt open-source and foundation models using Hugging Face and related tooling
• Translate research ideas into production-ready systems
• Optimize models for low-latency, low-power, offline execution
• Perform quantization, pruning, and distillation
• Deploy models via ONNX Runtime and OpenVINO targeting CPU, GPU, and NPU backends
• Build pipelines for training, evaluation, benchmarking, and regression testing
• Define and improve accuracy, latency, and resource metrics
• Partner with application and platform engineers to ensure seamless ML integration
• Communicate model performance, architectural decisions, and technical tradeoffs clearly to both technical and non-technical stakeholders
• Own Cephable’s ML architecture
• Set best practices and mentor team members
• Evaluate new tools, frameworks, and hardware
• Mentor engineers across the team on ML concepts and practices as the org grows
Qualifications:
Required:
• 4+ years of experience in machine learning or ML systems
• Strong PyTorch experience
• Hands-on experience with Hugging Face
• Production deployment using ONNX Runtime and/or OpenVINO
• Experience with acceleration frameworks like CUDA and GPU workflows
• Strong software engineering skills (Python, C++, or systems-level experience)
• Excellent communication skills — able to explain complex ML concepts, tradeoffs, and decisions clearly to engineers, product stakeholders, and non-technical partners alike
Preferred:
• Speech recognition or voice assistant experience
• LLMs, SLMs, or reasoning models
• Multimodal ML experience
• Edge or on-device AI background
• Experience with QNN, WinML, and CoreML
Company:
Cephable offers an ambient user interface platform that enables control of digital tools. Founded in 2023, the company is headquartered in Boston, USA, with a team of 11-50 employees. The company is currently Early Stage.