17,355 AI Development jobs in the United States

• Your primary responsibility will be to explore and develop new deep learning models to solve inverse problems in imaging.
• You'll also evaluate customer feedback and image data to gauge performance and refine your models based on real-world usage.

• PhD in related field, or equivalent industry experience
• Prior key contributor to significant deep learning projects for image enhancement or image processing
• Significant prior experience with CNNs and other common computer vision network architectures
• 2 years of hands-on experience with TensorFlow or PyTorch
• Good understanding of common image processing algorithms
• Working knowledge of C/C++
• Well-read on major recent research papers in deep learning for image or video enhancement

Headquartered in Silicon Valley, we are a newly established start-up, where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of Generative AI. Our team comprises leading minds and innovators in AI and Biological Science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.

We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our exceptionally strong R&D team and leadership in LLM and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.

Key Responsibilities:

• Design, develop, optimize, and maintain software systems for the entire foundation model development and deployment lifecycle (i.e., data pipeline, pre-training, fine-tuning, serving).
• Build and maintain scalable, efficient, and reusable codebases for large-scale foundation model training, adaptation, evaluation, and inference.
• Collaborate closely with data engineers and research scientists to integrate models into production environments.
• Implement and ensure best practices in software engineering, including code quality, testing, and documentation.
• Build and optimize robust back-end systems, APIs, and databases to support complex workflows.
• Ensure code quality, scalability, and performance through rigorous testing and code reviews.

• Bachelor's, Master's degree in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus.
• Strong programming skills in JavaScript, Python, and modern web development frameworks, and familiarity with GPU-accelerated tools (e.g., CUDA, cuDNN, Triton).
• Proficiency with major deep learning frameworks such as PyTorch, HuggingFace Transformers & Accelerate, or Megatron-LM/DeepSpeed.
• Familiarity with resource management and scheduling systems (e.g., SLURM, Kubernetes).
• Have direct ML Ops platform experience, such as kubeflow pipelines, argo workflows, apache airflow, or metaflow.
• Proficiency in back-end frameworks like Django, Flask, or Node. js, and database technologies (e.g., PostgreSQL, MongoDB).
• Expertise in distributed systems, cloud computing (AWS, GCP), and containerization tools (Docker, Kubernetes).

• Ph.D. degree in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus.
• Prior experience pre-training or serving large language models or large-scale foundation models.
• Experience with deep learning workflows.
• Knowledge of biological data types and challenges and experience with bioinformatics tools.
• Familiarity with version control systems like Git and CI/CD pipelines.
• Strong understanding of RESTful APIs, authentication, and deployment pipelines
• Familiarity with machine learning workflows and biological datasets.

The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy-all without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers address labor shortages and rising costs. Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington, the LaserWeeder is setting a new standard for automated weed control. With $157 million in funding from prominent investors such as BOND, NVentures (NVIDIA's venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital , Carbon Robotics is driving innovation.

As a no-nonsense team with a bias for action, we take pride in executing our ideas. Whether it's designing transformative technology or visiting farms to ensure our products are reliable and safe, we do whatever it takes to deliver for our customers.

Working here means tackling big problems with big impact. You'll find opportunities to grow professionally, solve complex challenges, and make meaningful contributions to a mission that matters. At Carbon Robotics, we trust our team to act independently and make practical, real-world decisions.

Join us as we innovate, execute, and build the future of farming together.

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As a Deep Learning Engineer at Carbon Robotics you will design experiments to test new models and algorithms, optimize them for daily deployments to operational resources in the field, document and produce reports on your findings, and integrate them with our robotics software stack.

• Build quickly through ownership and collaboration with Engineering and Product Management

• Professional experience designing and implementing novel deep learning architectures to deliver real world computer vision solutions
• Understanding of foundational mathematical principle of deep learning architecture
• Hands-on experience across the end-to-end Machine Learning workflow - including data preparation, pipeline development, experimentation, evaluation, and deployment
• Experience with developing deep learning models at scale from inception to business impact
• Familiarity with modern object detection techniques (vision transformers, embeddings, anchor-free)
• Comfortable navigating ambiguity and evolving technical landscapes
• Effective verbal and written communication skills to explain model details and behavior to non-technical staff and customers
• Experience in deep learning model optimization and deployment
• BS+ in Data Science, Computer Science, or related field

• Competitive salaries
• Pre-IPO Stock Options
• Generous Benefits:
  • Fully-paid medical, dental, and vision insurance premiums for you and all dependents
    • Choice of PPO or HDHP/HSA
    • Virtual Care - Doctor on Demand
    • Employee Assistance Program
  • Mental Health HRA
  • Restricted Healthcare Travel support
  • Menopause Support
  • Life Insurance
  • Long Term Disability
  • Flexible PTO
  • 401(k) plan
  • Pet Insurance
  • Commuter Benefits
• Work Culture: Be a part of an inclusive and tight-knit company culture that values innovation and mission-driven success.

We're Topaz Labs, an AI tech company that builds software to solve imaging problems like denoising, super-resolution, and deconvolution with deep learning. Over 1M photographers and designers trust us with their work, including on teams at Google, Nvidia, NASA, and more. We've processed over 1 billion images, achieved 1000% revenue growth in the last 4 years, and we're only getting started.

We're looking for a Deep Learning Researcher to help us push the state-of-the-art in image and video enhancement. Your primary responsibility will be to explore and develop new deep learning models to solve inverse problems in imaging. You'll also evaluate customer feedback and image data to gauge performance and refine your models based on real-world usage.

About us

• Rocketship growth and opportunity for impact ($3M - $30M revenue in four years)
• Over 1 million customers (including companies like Apple, NASA, Netflix) have used us for over 1 billion photos. Our tech has been covered by Fast Company, The Verge, Engadget, Mashable, BBC, and more
• World-class team that executes quickly, obsesses about the customer experience, and promotes from within
• Profitable company with infinite runway

• PhD in related field, or equivalent industry experience
• Prior key contributor to significant deep learning projects for image enhancement or image processing
• Significant prior experience with CNNs and other common computer vision network architectures
• 2 years of hands-on experience with TensorFlow or PyTorch
• Good understanding of common image processing algorithms
• Working knowledge of C/C++
• Well-read on major recent research papers in deep learning for image or video enhancement

About Matroid

Matroid is a full-service computer vision company that has developed an end-to-end platform allowing enterprise customers to rapidly train and
deploy automated visual inspection on imagery including EO, IR, X-Ray, CT, OCT, and others.

Founded in 2016 by a Stanford professor, Matroid has a broad and rapidly growing set of customers in manufacturing, industrial IoT, government and security.

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases. You will be working in a fast-paced environment, surrounded by experts who are passionate about their work.

This position is onsite at our downtown Palo Alto office, located near the Stanford campus and Caltrain.

What you'll do

• Advance the computer vision and deep learning technology powering Matroid's computer vision platform
• Keep on top of the latest developments and research in academic CV/DL and decide how we should apply them to our real world use-cases
• Engineer new DL capabilities end-to-end; research, experiment, iterate, develop, optimize and productionize

How you'll be doing it

• Operating in a collaborative but highly autonomous environment where you are empowered to make an impact
• Knowing that everything you build affects real-world users, with corresponding quality standards for your work
• Collaborating with other DL engineers, as well as our other expert teams, including product, infrastructure, and field engineering

What you bring to the table

• Masters in Computer Science, Software Engineering, Mathematics, or equivalent
• Passion for computer vision and deep learning; you are excited to adapt the latest VLMs, or implement a video transformer model from scratch, or get realtime segmentation running on a tiny edge device, or train a massive industry-specific foundation model
• 3+ years of industry and/or academic experience relating to software, deep learning and computer vision
• Experience using and modifying state-of-the-art CV models and frameworks, with understanding of their theoretical underpinnings
• Knowledge of model architectures and techniques across a broad range of domains, including object detection, segmentation, anomaly detection, object tracking, video-understanding and vision language models
• Strong software engineering skills - you care deeply about the quality of your code
• Solid oral, written, presentation, collaboration, and interpersonal communication skills

Bonus points if.

• Specialization in CV, artificial intelligence, machine learning, or related fields
• Significant computer vision & deep learning academic and/or research experience
• Prior work experience with applied computer vision in real-world use-cases
• Cool personal projects, competitions, hackathons, etc. demonstrating your passion & expertise
• Previous work at high-growth technology startups

What we offer in return

• Competitive pay and equity.
• The chance to constantly work on stimulating intellectual challenges.
• Gym membership reimbursement.
• Free lunch, healthy drinks, and snacks every day.
• Medical, dental, and vision insurance with 100% paid premiums.
• A flexible schedule that leaves time for all of your other interests.
• A budget for whatever hardware or software will make you most effective.
• Regular tech talks to discuss the latest advances in CV, DL and engineering

Matroid is committed to creating a diverse work environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Lyra is transforming mental health care through technology with a human touch to help people feel emotionally healthy at work and at home. We work with industry leaders, such as Morgan Stanley, Uber, Amgen, and other Fortune 500 companies, to improve access to effective, high-quality mental health care for their employees and their families. With our innovative digital care platform and global provider network, nearly 20 million people can receive the best care and feel better, faster. Founded by David Ebersman, former CFO of Facebook and Genentech, Lyra has raised more than $900 million.

We are looking for a licensed therapist who is passionate about leveraging state of the art technology, including artificial intelligence, to significantly expand access to evidence-based mental health interventions. Requirements for this role include extensive clinical knowledge, experience and skills in safety risk assessment and management as well as delivery of various evidence-based mental health interventions for anxiety and depression. Strong writing skills are also required. This role will apply clinical knowledge and expertise to support the development of Lyra's AI tools.

You will be part of a highly skilled and collaborative team with an established track record of cross functional collaboration for the development of clinical technology. By directly reaching hundreds of thousands of clients, your work on developing clinical AI tools will help create meaningful positive change on a large scale.

• Selecting and developing comprehensive sets of clinical scenarios that are representative of client situations (safety, distress) to support AI tools development
• Writing sets of gold standard responses to specific clinical situations to maximize clinical effectiveness and helpfulness of AI tools
• Evaluating AI responses in a systematic and reliable way to ascertain level of clinical quality
• Synthesizing areas of improvement for AI tools to meet clinical safety and effectiveness criteria
• Cross functional collaboration with other teams to support the development of AI tools

• MS, MA, MSW, PsyD,PhD in Clinical / Counseling psychology
• Licensed therapist with 4+ years of direct clinical work post-graduation
• Strong writing skills to convey clinical concepts and maximize clinical impact
• Passionate about disseminating evidence based therapy by leverage technology on a large scale
• Strong training in and experience in safety risk assessment and management (SI, self-harm)
• Excellent training in and deep understanding of evidence-based treatments (e.g., CBT, DBT, IPT, EFT, ACT)
• Strong case conceptualization, treatment planning skills
• Training and experience teaching skills groups directly to clients (DBT, CBT, MBSR)
• Strong training in and experience providing culturally responsive care is preferred
• Independent, flexible, can navigate uncertainty well, thrives in a fast-paced, high change, dynamic environment
• Excellent interpersonal and collaboration skills, compassionate, and open-minded

This position can be fully remote or hybrid (i.e., 2 days onsite at our Burlingame office, 3 days from home). Lyra Health, Inc. works in partnership with Lyra Clinical Associates P.C. and other contracted affiliates to deliver clinical services. We are an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, age, national origin or disability.

• Lead the planning, execution, and delivery of multiple AI development programs and projects simultaneously.
• Define program scope, goals, deliverables, and success metrics in collaboration with stakeholders.
• Develop detailed project plans, timelines, resource allocation, and budgets.
• Manage cross-functional teams, including data scientists, engineers, product managers, and researchers, fostering a collaborative and high-performing environment.
• Identify, assess, and mitigate program risks and dependencies.
• Facilitate effective communication and stakeholder management across all levels of the organization.
• Track program progress, identify critical paths, and implement corrective actions as needed.
• Ensure adherence to agile or other project management methodologies.
• Manage vendor relationships and contracts as required.
• Conduct regular program reviews and provide status updates to senior leadership.
• Champion best practices in program management and AI development lifecycle.
• Drive continuous improvement in program execution and team performance.
• Manage budget and resource allocation efficiently to ensure project success.
• Communicate project status, risks, and issues to all relevant stakeholders in a timely and transparent manner.

• Bachelor's or Master's degree in Computer Science, Engineering, Business Administration, or a related field.
• 7+ years of experience in program or project management, with a significant focus on AI, machine learning, or data science projects.
• Proven track record of successfully managing large-scale, complex technology programs from initiation to closure.
• Strong understanding of AI/ML concepts, algorithms, and development lifecycles.
• Expertise in project management methodologies (e.g., Agile, Scrum, Waterfall).
• Excellent leadership, team-building, and motivational skills.
• Exceptional communication, negotiation, and interpersonal skills.
• Proficiency in project management software (e.g., Jira, Confluence, Asana, MS Project).
• Ability to think strategically and translate business needs into actionable program plans.
• Experience managing budgets and resources effectively.
• PMP, CSM, or other relevant project management certifications are a plus.
• Experience working in a fast-paced, innovative technology environment.
• Strong analytical and problem-solving capabilities.

At BWX Technologies, Inc. (NYSE: BWXT), we are People Strong, Innovation Driven. Headquartered in Lynchburg, Va., BWXT provides safe and effective nuclear solutions for national security, clean energy, environmental remediation, nuclear medicine and space exploration. With approximately 6,400 employees, BWXT has 12 major operating sites in the U.S. and Canada. 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 remediation and nuclear operations management at more than 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. Follow us on Twitter at @BWXTech and learn more at .

BWXT's Nuclear Operations Group - Lynchburg is currently seeking a Data Science Engineer for its Lynchburg, VA location!

BWXT's Welding Manufacturing Operations section is seeking a highly skilled Data Scientist to join our Welding Engineering group. This group generates vast amounts of electronic data for a variety of welding processes and applications. This role will be instrumental in setting up data warehouses, monitoring

processes, and advancing Al applications in welding manufacturing operations. The ideal candidate will have expertise in data science, machine learning, and industrial process optimization, with a focus on leveraging Al to enhance welding efficiency, quality and predictive maintenance.

Key Responsibilities:

• Data infrastructure and warehousing

• Design, develop, and maintain data warehouses to store and manage large-scale welding operations data

• Ensure seamless integration of data from various sources, including sensors, PLCs, and production databases

• Implement ETL (Extract, Transform, Load) processes for efficient data extraction and processing

Process Monitoring & Optimization:

• Develop and deploy real-time monitoring systems to track key welding parameters to detect and report anomalies

• Analyze sensor and machine data to improve weld quality, defect detection, and predictive maintenance

• Utilize statistical models, Al, and ML techniques to enhance process control and automation

Al and Machine Learning in Welding Operations:

• Develop Al-driven solutions to predict weld defects, optimize settings, andimprove process consistency

• Implement computer vision techniques for weld quality inspection and automation

• Leverage deep learning and reinforcement learning to optimize robotic welding systems

Data Analytics & Reporting:

• Create dashboards and visualization tools to provide insights into production efficiency and quality

• Perform exploratory data analysis and present findings to engineers, production teams, and leadership

• Assist in root cause analysis by correlating welding data with production outcomes

Collaboration and Continuous Improvement:

• Work closely with welding engineers, automation specialists, and IT teams to enhance manufacturing intelligence

• Remain updated on emerging Al and data science technologies relevant to industrial welding

• Provide guidance on best practices for data governance, security and compliance

Required Qualifications:

• Bachelor's degree in Data Science, Computer Science, Engineering, Statistics or related field

• Must be a US citizen with no dual citizenship

• Must be able to obtain and maintain a U.S. Department of Energy (DOE) clearance CVAA,

Technical Skills:

• Proficiency in Python, R, SQL and big data technologies

• Knowledge or experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) - Knowledge of industrial loT and sensor data processing

• Familiarity with data warehousing tools, e.g., Microsoft SQL Server

• Knowledge or experience with predictive modeling, time-series forecasting, and anomaly detection

• Knowledge or experience in computer vision for industrial applications is a plus

• Dashboard creation with Power BI would be a plus

• Knowledge of web technologies (for example REST APIs) and frameworks (e.g. React, Vue.js) would be a plus

• Knowledge of C# would be a plus

Industry Knowledge & Experience:

• Understanding of welding processes, materials, and quality control (preferred, but not mandatory)

• Previous experience in manufacturing, automation, or industrial analytics is highly desirable, but not mandatory

• Knowledge of Six Sigma, Lean Manufacturing, or process optimization techniques is a plus

Soft skills:

• Strong problem-solving skills with an analytical mindset

• Ability to communicate complex data insights to technical and non-technical stakeholders

• A team player with a collaborative approach to interdisciplinary projects

• Must possess proven ability and willingness to learn new tools

• Must be able to demonstrate superior written, oral, and interpersonal communication skills

• Must be highly self-motivated and directed, with keen attention to detail

Preferred Qualifications :

• Certifications in data science, Al, or cloud computing (AWS Certified Machine Learning, Google Professional Data Engineer, etc.)

• Master's in Data Science Preferred

• Experience with robotic and mechanized welding systems and automation

• Understanding of edge computing for real-time data processing

#LI-TDA

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 COVID-19 and other health and safety protocols. As such, all BWXT new hires will be required to adhere to applicable Company COVID-19 requirements within the workplace as a condition of employment.

Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified information or matter. Position requires U.S. citizenship with (no dual citizenship) ability to obtain and maintain a Department of Energy (DOE) security clearance which involves an extensive criminal and financial background investigation, drug test and previous employment reference verifications.

BWXT supports diversity and 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, gender, national origin, citizenship, age, disability or veteran status.

At BWX Technologies, Inc. (NYSE: BWXT), we are People Strong, Innovation Driven. Headquartered in Lynchburg, Va., BWXT provides safe and effective nuclear solutions for national security, clean energy, environmental remediation, nuclear medicine and space exploration. With approximately 6,400 employees, BWXT has 12 major operating sites in the U.S. and Canada. 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 remediation and nuclear operations management at more than 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. Follow us on Twitter at @BWXTech and learn more at

BWXT’s Nuclear Operations Group - Lynchburg is currently seeking a Data Science Engineer for its Lynchburg, VA location!

BWXT's Welding Manufacturing Operations section is seeking a highly skilled Data Scientist to join our Welding Engineering group. This group generates vast amounts of electronic data for a variety of welding processes and applications. This role will be instrumental in setting up data warehouses, monitoring

processes, and advancing Al applications in welding manufacturing operations. The ideal candidate will have expertise in data science, machine learning, and industrial process optimization, with a focus on leveraging Al to enhance welding efficiency, quality and predictive maintenance.

Key Responsibilities:

• Data infrastructure and warehousing

• Design, develop, and maintain data warehouses to store and manage large-scale welding operations data

• Ensure seamless integration of data from various sources, including sensors, PLCs, and production databases

• Implement ETL (Extract, Transform, Load) processes for efficient data extraction and processing

Process Monitoring & Optimization:

• Develop and deploy real-time monitoring systems to track key welding parameters to detect and report anomalies

• Analyze sensor and machine data to improve weld quality, defect detection, and predictive maintenance

• Utilize statistical models, Al, and ML techniques to enhance process control and automation

Al and Machine Learning in Welding Operations:

• Develop Al-driven solutions to predict weld defects, optimize settings, andimprove process consistency

• Implement computer vision techniques for weld quality inspection and automation

• Leverage deep learning and reinforcement learning to optimize robotic welding systems

Data Analytics & Reporting:

• Create dashboards and visualization tools to provide insights into production efficiency and quality

• Perform exploratory data analysis and present findings to engineers, production teams, and leadership

• Assist in root cause analysis by correlating welding data with production outcomes

Collaboration and Continuous Improvement:

• Work closely with welding engineers, automation specialists, and IT teams to enhance manufacturing intelligence

• Remain updated on emerging Al and data science technologies relevant to industrial welding

• Provide guidance on best practices for data governance, security and compliance

Required Qualifications:

• Bachelor's degree in Data Science, Computer Science, Engineering, Statistics or related field

• Must be a US citizen with no dual citizenship

• Must be able to obtain and maintain a U.S. Department of Energy (DOE) clearance CVAA,

Technical Skills:

• Proficiency in Python, R, SQL and big data technologies

• Knowledge or experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) - Knowledge of industrial loT and sensor data processing

• Familiarity with data warehousing tools, e.g., Microsoft SQL Server

• Knowledge or experience with predictive modeling, time-series forecasting, and anomaly detection

• Knowledge or experience in computer vision for industrial applications is a plus

• Dashboard creation with Power BI would be a plus

• Knowledge of web technologies (for example REST APIs) and frameworks (e.g. React, Vue.js) would be a plus

• Knowledge of C# would be a plus

Industry Knowledge & Experience:

• Understanding of welding processes, materials, and quality control (preferred, but not mandatory)

• Previous experience in manufacturing, automation, or industrial analytics is highly desirable, but not mandatory

• Knowledge of Six Sigma, Lean Manufacturing, or process optimization techniques is a plus

Soft skills:

• Strong problem-solving skills with an analytical mindset

• Ability to communicate complex data insights to technical and non-technical stakeholders

• A team player with a collaborative approach to interdisciplinary projects

• Must possess proven ability and willingness to learn new tools

• Must be able to demonstrate superior written, oral, and interpersonal communication skills

• Must be highly self-motivated and directed, with keen attention to detail

Preferred Qualifications:

• Certifications in data science, Al, or cloud computing (AWS Certified Machine Learning, Google Professional Data Engineer, etc.)

• Master's in Data Science Preferred

• Experience with robotic and mechanized welding systems and automation

• Understanding of edge computing for real-time data processing

  #LI-TDA

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 COVID-19 and other health and safety protocols. As such, all BWXT new hires will be required to adhere to applicable Company COVID-19 requirements within the workplace as a condition of employment.

Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified information or matter. Position requires U.S. citizenship with (no dual citizenship) ability to obtain and maintain a Department of Energy (DOE) security clearance which involves an extensive criminal and financial background investigation, drug test and previous employment reference verifications.

BWXT supports diversity and 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, gender, national origin, citizenship, age, disability or veteran status.