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Openvino Jobs (NOW HIRING)

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 ...

Senior Machine Learning Engineer

Sterling, VA

$121.30K - $159.90K/yr

Experience integrating machine learning or computer vision inference engines (e.g., TensorRT, OpenVINO, ONNX Runtime) is a strong plus. * Familiarity with Linux-based development (build systems like ...

AI Software Development Engineer

Folsom, CA · On-site

$170.50K - $240.71K/yr

... OpenVINO or other AI inference frameworks Knowledge of neural network optimization techniques and performance tradeoffs Experience across multiple layers of the AI software stack, including: * AI ...

... ONNX, IREE, OpenVINO, TVM. * 5+ years of experience leading software architecture for complex AI, runtime, or accelerator software systems, including defining technical direction and guiding ...

Principal Software Engineer

Boston, MA · On-site +1

$151.51K - $249.95K/yr

Familiarity with model parallelization, quantization, and memory optimization (e.g., vLLM, DeepSpeed, OpenVino). * AI/MLOps: Experience with GitOps, automation pipelines, and managing the AI/ML ...

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 ...

SW Solutions Engineer

Hillsboro, OR · On-site

$149.75K - $275.58K/yr

AI/ML (vision AI, Gen-AI, VLM, VLA) understanding with evaluation experience. * experience with ML frameworks (PyTorch, OpenVINO,vLLM, TensorFlow) and AI benchmarking. Job Type:Experienced Hire Shift:

SW Solutions Engineer

Phoenix, AZ · On-site

$149.75K - $275.58K/yr

AI/ML (vision AI, Gen-AI, VLM, VLA) understanding with evaluation experience. * experience with ML frameworks (PyTorch, OpenVINO,vLLM, TensorFlow) and AI benchmarking. Job Type:Experienced Hire Shift:

... ONNX, IREE, OpenVINO, TVM. * 5+ years of experience leading software architecture for complex AI, runtime, or accelerator software systems, including defining technical direction and guiding ...

SW Solutions Engineer

Hillsboro, OR · On-site

$149.75K - $275.58K/yr

AI/ML (vision AI, Gen-AI, VLM, VLA) understanding with evaluation experience. * experience with ML frameworks (PyTorch, OpenVINO,vLLM, TensorFlow) and AI benchmarking. Job Type: Experienced Hire ...

AI Performance Library Architect

Hillsboro, OR · On-site

$170.50K - $315.49K/yr

... OpenVINO, Tensorflow, Pytorch, ONNX Runtime, and more. In this role, you will be responsible for design, development, and maintenance of new functionality in oneDNN to enable performance critical ...

Senior Machine Learning Engineer

Sterling, VA · On-site

$121.30K - $159.90K/yr

Experience integrating machine learning or computer vision inference engines (e.g., TensorRT, OpenVINO, ONNX Runtime) is a strong plus. * Familiarity with Linux-based development (build systems like ...

Senior AI Software Architect - Runtime

Austin, TX

$128.40K - $174.50K/yr

... ONNX, IREE, OpenVINO, TVM. * 5+ years of experience leading software architecture for complex AI, runtime, or accelerator software systems, including defining technical direction and guiding ...

... OpenVINO, ONNX Runtime, vendor SDKs). * Business Acumen: Ability to translate complex technical solutions into clear business value and ROI for executives. * Ability to design end-to-end Edge ...

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Showing results 1-20

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?

AspectOpenvinoComputer Vision Engineer
Required CredentialsKnowledge of AI frameworks, hardware optimization, programming skillsDegree in Computer Science, Electrical Engineering, or related fields; experience in AI and image processing
Work EnvironmentTech companies, AI development labs, hardware manufacturersResearch institutions, tech firms, startups, or industry-specific companies
Employer & Industry UsagePrimarily used in AI inference optimization, embedded systems, and hardware accelerationDeveloping 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:
Infographic showing various Openvino job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 81% Physical, and 19% Remote job distribution.

Data Scientist, Computer Vision

BWXT

Lynchburg, VA

Full-time

Medical, Dental, Retirement, PTO

Posted 14 days ago


Job description

At BWX Technologies, Inc. (NYSE: BWXT), we are People Strong, Innovation Driven. A U.S.-based company, BWXT is a Fortune 1000 and Defense News Top 100 manufacturing and engineering innovator that provides safe and effective nuclear solutions for global security, clean energy, environmental restoration, nuclear medicine and space exploration. With more than 7,800 employees, BWXT has 14 major operating sites in the U.S., Canada and the U.K. We are the sole manufacturer of naval nuclear reactors for U.S. submarines and aircraft carriers. Our company supplies precision manufactured components, services and fuel for the commercial nuclear power industry across four continents. Our joint ventures provide environmental restoration and operations management at a dozen U.S. Department of Energy and NASA facilities. BWXT’s technology is driving advances in medical radioisotope production in North America and microreactors for various defense and space applications. For more information, visit www.bwxt.com. Follow us on LinkedIn, X, Facebook and Instagram.

Welcome to BWXT
We believe in empowering our employees and cultivating a dynamic workplace that fosters growth and collaboration. Whether you’re an experienced professional or just starting your career, you'll find opportunities to challenge yourself, learn from seasoned experts, and contribute to nuclear innovation. We required a diverse range of skills to support our work in the markets that drive our business and welcome candidates from all backgrounds and life stages who are passionate about making a difference.

BWXT is People Strong, Innovation Driven - be part of BWXT’s innovation hub. BWXT’s Advanced Technologies (AT) group researches, designs, and develops innovative new nuclear reactors, nuclear rocket propulsion systems, and radioisotope production systems for both internal and external customers.

If you are looking for a career where your experience is valued, innovative thinking is fostered, and barrier-free teamwork is embraced every day, then this opportunity is for you.

Position Overview:

BWXT Advanced Technologies is seeking a Data Scientist, Computer Vision (Classification & Deep Learning) to design, train, evaluate, and productionize image classification models that power critical decisions across our products and operations. You will own datasets, modeling, and deployment for robust, scalable visual classification—delivering measurable accuracy, reliability, and latency improvements.

Location:

This position is based on-site in Lynchburg, VA at the Advanced Technologies Office.

Your Day to Day as a Data Scientist, Computer Vision:

  • Lead end to end Computer Vision classification: problem definition, dataset creation, experiment design, model training, evaluation, deployment, and monitoring.
  • Develop modern deep learning models using CNNs (ResNet/EfficientNet) and Vision Transformers (ViT/Swin), leveraging transfer learning, fine tuning, and self /weakly supervised methods as appropriate.
  • Handle imbalanced/noisy/multi label data with class aware sampling, focal/cost sensitive losses, label smoothing, and advanced augmentations (RandAugment, MixUp, CutMix).
  • Establish rigorous evaluation: precision/recall, F1, ROC/PR AUC, calibration, confusion analysis, per class metrics, subgroup fairness, and stress testing for lighting, occlusion, motion blur, and device variation.
  • Build data & experiment pipelines: image ingestion, labeling QC, dataset versioning and experiment tracking with automated reproducibility.
  • Production operations: deploy services, implement drift detection and alerting, schedule retraining, support A/B tests and human in the loop review.
  • Cross functional collaboration with data engineering, product, operations, and quality to integrate outputs into workflows and dashboards.

Required Qualifications:

  • A bachelor’s degree in computer science, electrical engineering, physics, or related field is required.
    • A minimum of six (6) years of building and deploying computer vision classification models in production or related work experience is required.
  • Must have strong experience with PyTorch (preferred) or TensorFlow/Keras; along with proficiency in Python (NumPy/Pandas); and familiarity with scikit learn for baselines and metrics.
  • Must have hands on with OpenCV, torchvision/timm, albumentations; image pre /post processing and dataset curation.
  • Must have demonstrated expertise with CNNs & Vision Transformers, transfer/self supervised learning (e.g., SimCLR/MoCo/DINO/MAE), mixed precision training, and training efficiency.
  • 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 results into actionable product/operations insights.
  • Must have a deep understanding of image classification theory and practice: loss functions, optimization, augmentation, calibration, and thresholding.
  • Must have strong software engineering discipline: code reviews, testing, logging/observability.
  • Must be proficient in experiment design, statistical analysis, and scientific communication.
  • Must have a strong understanding of security/privacy best practices for visual data (PII/PHI as applicable).
  • Must be a U.S. citizen.
  • Must be able to obtain and maintain a U.S. Department of Energy (DOE) or Department of Defense (DOD) security clearance, whichever is required.

 

Preferred Qualifications:

  • MS/PhD in Computer Science, Electrical Engineering, Physics, or related field.
  • Edge inference (NVIDIA Jetson/ARM), streaming pipelines, or multi camera systems.
  • Data labeling operations (CVAT/Label Studio), quality control, and consensus strategies.
  • Robustness to domain shift; techniques for generalization across environments/devices.
  • Weak supervision, active learning, or semi-automated data curation.
  • Interpretability (Grad CAM), calibration, and documentation (model cards, datasheets).

What We Offer:

  • Competitive salary and benefits package, including health, dental, and retirement plans.
  • Flexible work schedules and paid time off to promote a healthy work-life balance.
  • Professional development opportunities, including mentorship programs and sponsorship for continuing education.
  • An inclusive atmosphere that celebrates new perspectives and supports collaboration between different generations.
  • The chance to be part of a mission-driven organization making a positive impact on the future of energy.
  • Opportunities for continuous learning and training to grow throughout your career!

Pay: $76,000.00 - $119,000.00

The base salary range for this position in Virginia (US-VA) at the start of employment is expected to be between $76,000.00 and $119,000.00 per year. However, the base salary offered is based on local job market factors, and may vary further depending on factors specific to the selected job candidate, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to these considerations, the total compensation package for this position may also include other elements, such as an annual cash incentive in addition to a full range of medical, retirement, and/or other benefits. Details of participation in these benefit plans will be provided at such time the selected job candidate receives an offer of employment. If hired, the selected job candidate will be employed 'at-will,’ unless employed at a location and in a position subject to a collective bargaining agreement.  The company further reserves the right to modify base salary (as well as any other discretionary payment, compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and other market factors.

As a federal government contractor, BWX Technologies, Inc. and any subsidiaries, affiliates and related entities (“BWXT” or the “Company”) complies with all federal, state, and local laws and customer requirements regarding health and safety protocols.  As such, all BWXT new hires will be required to adhere to applicable Company health and safety requirements within the workplace as a condition of employment.

All candidates must be U.S. citizens. Selected applicants are required to successfully complete a pre-employment check and drug screening. In addition, the position may require the ability to obtain and maintain applicable federal eligibility requirements for access to classified/sensitive information or matter which involves an extensive criminal and financial background investigation, drug test, previous employment, and reference verifications.

BWXT is committed to the concept of Equal Employment Opportunity. We have established procedures to ensure that all personnel actions such as recruitment, compensation, career development, benefits, company-sponsored training and social recreational programs are administered without regard to race, color, religion, sex, national origin, citizenship, age, disability, protected veteran or other protected status.

BWX Technologies, Inc. and its affiliates and subsidiaries (BWXT) is not responsible for and does not accept any liability for fees or other costs associated with resumes or candidates presented by recruiters or employment agencies, unless a binding, written recruitment agreement between BWXT and the recruiter or agency exists prior to the presentation of candidates or resumes to BWXT and includes the specific services, job openings, and fees to be paid (“Agreement”). BWXT may consider any candidate for whom a recruiter or agency has submitted an unsolicited resume and explicitly reserves the right to hire such candidate(s) without any financial obligation to the recruiter or agency unless an Agreement is in place prior to presentation and such Agreement explicitly encompasses the job opening for which such fees or costs are sought. An email, verbal or other informal contact with any person within BWXT will not create a binding agreement. Agencies or recruiters without an Agreement are directed not to contact any hiring managers of BWXT with recruiting inquiries or resumes. Recruiters and agencies interested in partnering with BWXT may contact BWXT’s Talent Acquisition team at talent_acquisition@bwxt.com.