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Certification in Middle Grades General Science 5-9
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SCIENCE SR

Berkner Group

<div>
 <p>
  Position Title:
  <strong>
   (Sr.) Polyol Scientist
  </strong>
 </p>
 <p>
  Location:
  <strong>
   Menlo Park, CA
  </strong>
 </p>
 <p>
  Employment Type:
  <strong>
   Full-time, On-site
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Company
  </strong>
 </p>
 <p>
  Our client is a company at the forefront of sustainable materials innovation, developing technologies to transform waste into valuable chemical products. The team is dedicated to advancing circular economy solutions through cutting-edge chemical technology, materials science, engineering, and process development.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Summary
  </strong>
 </p>
 <p>
  We are seeking a results-driven (Sr.) Polyol Scientist to lead formulation and innovation efforts for next-generation polyols derived from feedstocks. The ideal candidate will bring deep technical expertise in polyol synthesis and properties optimization, with a track record of enabling new polyurethane formulations and applications through improved polyol design.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Do
  </strong>
 </p>
 <ul>
  <li>
   Design and develop new grades of polyester polyols to expand the company&rsquo;s polyurethane (PU) application portfolio. Initial KPIs include the development of 2&ndash;3 viable new polyol grades for customer sampling within 6 months, and demonstration of scale-up readiness with a focus on successfully validating such polyols in downstream PU applications within 12 months.
  </li>
  <li>
   Serve as a subject matter expert in polyol products to support other company scientists in polyurethane product formulation development.
  </li>
  <li>
   Establish polyol structure-performance correlations through rigorous testing (GPC, FTIR, DSC, NMR, etc.) and performance benchmarking.
  </li>
  <li>
   Guide pilot- and production-scale synthesis of new polyol formulations in collaboration with internal scale-up team and external tollers.
  </li>
  <li>
   Contribute to IP generation, technical documentation, and scale-up readiness for commercialization.
  </li>
  <li>
   Support polyol sales and customer applications as the technical product expert, by providing product recommendations, and translating customer and sales feedback into product improvements as required.
  </li>
  <li>
   Collaborate with R&amp;D team members to ensure polyol product quality, supporting developments in other areas of the company&rsquo;s technology platform.
  </li>
  <li>
   Translate structure-property relationships into actionable polyol improvements (e.g., molecular weight, functionality, hydroxyl value, viscosity).
  </li>
  <li>
   Collaborate cross-functionally with scientists, engineers, and commercial teams to tailor polyol performance to customer and market needs.
  </li>
  <li>
   Evaluate downstream polyurethane formulations (e.g., foams, elastomers, coatings) using polyols, optimizing for technical feasibility and ease of production.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About You
  </strong>
 </p>
 <ul>
  <li>
   Ph.D. or M.S. in Polymer Chemistry, Organic Chemistry, or Materials Science, with 5&ndash;10 years of industry experience in polyol and polyurethane R&amp;D.
  </li>
  <li>
   Willing and able to conduct hands-on laboratory research in polyol and polyurethane synthesis, characterization, and product development.
  </li>
  <li>
   Effective collaborator with proven ability to work with team members of varying backgrounds and levels of training.
  </li>
  <li>
   Demonstrated success in, and hands-on experience with developing or improving polyol technologies that enabled broader polyurethane applications.
  </li>
  <li>
   Deep understanding of polyol types (e.g., polyester, polyether, hybrid), structure-property-performance dynamics, and downstream PU chemistries.
  </li>
  <li>
   Detail-oriented, with excellent problem-solving and project management skills.
  </li>
  <li>
   Strong communication skills to interface with internal technical teams and external partners/customers.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice To Have
  </strong>
 </p>
 <ul>
  <li>
   Experience with polyol scale-up, tolling, and manufacturing integration is a strong plus.
  </li>
  <li>
   Experience at a leading polyol or PU manufacturer.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Compensation &amp; Benefits
  </strong>
 </p>
 <ul>
  <li>
   $100,000.00 - $150,000.00 per year (depending on experience)
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits include:
  </strong>
 </p>
 <ul>
  <li>
   401(k)
  </li>
  <li>
   401(k) matching
  </li>
  <li>
   Dental insurance
  </li>
  <li>
   Health insurance
  </li>
  <li>
   Life insurance
  </li>
  <li>
   Paid time off
  </li>
  <li>
   Relocation assistance
  </li>
  <li>
   Vision insurance
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Berkner Group has been retained to execute this search. If you were contacted by Berkner Group, please reply to the person who contacted you. If you are applying to a job posting, please email your resume and a brief introduction to careers@berknergroup.com. Please include your name and the title for this position ([Your name] - (Sr.) Polyol Scientist - L793WYY5) in the subject line of your email. We look forward to hearing from you!
   </em>
  </strong>
 </p>
 <p>
 </p>
</div>


(Sr.) Polyol Scientist

NVIDIA

<div><p>NVIDIA is seeking Senior Application Engineer for technical collaboration on Materials and Chemical Discovery using AI. Sr Application Engineers s are drawn from elite developers and scientists who enjoy working with the latest in GPU hardware and AI Models. An ideal candidate is someone who is entrepreneurial, self-motivated, creative and passionate about bringing the latest techniques to customers who want to accelerate the discovery of novel materials using Predictive AI or Generative AI. Discovery of new materials and chemicals is one of the core workload across a broad range of customers including supercomputing, higher education, manufacturing, semiconductors, agriculture, etc.</p><p></p><p>
As a Sr Application Engineer you will be part of the team comprising Product Managers and Strategic Alliance Partners and working with customers.</p><p></p><p><b>
What you will be doing:
</b></p><ul><li><p>Work directly with developers and researchers who are building, fine-tuning or optimizing AI models for Chemistry and Material discovery</p></li><li><p>
Collaborate with publishers of open source applications, datasets, frameworks used for AI Driven Chemical and Materials discovery and display their ability to use NVIDIA ALCHEMI.</p></li><li><p>
Build examples, sample applications for tutorials</p></li><li><p>
Collaborate with domain experts on whitepapers and with marketing on blog posts</p></li></ul><p></p><p><b>
What we need to see:</b></p><ul><li><p>
Degree in Chemistry, Material Science or related field (Ph.D. or Masters preferred) or equivalent experience</p></li><li><p>
4+ years of experience with developing or using AI models for chemistry and material discovery using popular deep learning frameworks on CPUs and GPUs.</p></li><li><p>
Proven ability to benchmark and compare domain specific AI Models fo Materials discovery</p></li><li><p>
Strong written and oral communication skills with the ability to effectively articulate the value proposition to technical and non-technical audiences</p></li></ul><p></p><p><b>
Ways to stand out from the crowd:</b></p><ul><li><p>
Contributions to open source projects related to MLIPs</p></li><li><p>
Background in the development of chemistry/materials simulation software packages, machine learning interatomic potentials (MLIP) design, or generative AI for chemistry/material science.</p></li><li><p>
Prior experience in benchmarking AI models</p></li></ul><p></p>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 144,000 USD - 230,000 USD.<p></p><div><div><div><div><div><div><div><p>
You will also be eligible for equity and benefits.</p></div></div></div></div></div></div></div><p></p>
Applications for this job will be accepted at least until September 8, 2025.<p></p>
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div><p></p>

Senior Application Engineer

EOG Resources

<div><div><div>Job Description</div></div>
<p></p><div><div>Job ID#:
</div><div><p>10732</p>
</div></div><div><div>Job Category:
</div><div><p>Information Systems</p>
</div></div><div><div>Position Type:
</div><div><p>Full Time, Regular</p><br>
</div></div><br>
<p></p><div><div><div><div>The Sr. Data Engineer is responsible for designing, implementing and supporting full life-cycle data engineering projects for current and future economic planning applications. These project should include large data ingestion, persistence, transformation, and retrieval. Day-to-day responsibilities include designing, developing and maintaining the Oracle, MemSQL and Python code that supports iTypeCurve and iInvest applications. Will be responsible for the dataflow pipeline between Planning database and other data stores such as Primo, ODM and Accounting data.</div><br>
<p></p>
</div></div></div><div></div><div><div>Job Requirements</div></div><br>
<p></p><div><div><div><div>Bachelor's degree in Computer Science, Engineering or other equivalent degree, with 4+ years data engineering experience, or Master's degree in Computer Science, Engineering or other equivalent degree with 2+ years data engineering experience. Requires 2+ years' experience in the design, implementation and support of full life-cycle data engineering projects. Experience in event driven and cloud based architectures and working knowledge of containerization and streaming technologies. Proficiency using Python, .NET, Node, Java or similar language. Experience with SQL and other data query languages required.</div><div>
</div><div>
Position will be filled at a level commensurate with experience.</div><div><b>
</b></div><div><b>
EOG Resources is an Equal Opportunity Employer, including Veterans and Disabled.</b></div><br>
<p></p>
</div></div></div><br>
<br>
<div><div><b>Equal Employment is the Law</b><b><br>
</b><p><b>Requests for Accommodation</b><b><br>
</b></p><p>Individuals with a disability who wish to request an accommodation to complete an employment application, please Click here or call 713-651-6694.<br>
</p></div></div><p></p><div><div><br>
<br>
<br>
<div><div><p><b>** FRAUD ALERT ** If you are responding to a recruiting email, please ensure that the email has the domain @eogresources.com; if the email has a different domain DO NOT PROVIDE ANY INFORMATION. Instead, please contact Recruiting at </b><b>713</b><b>-651</b><b>-6694</b><b>.<br>
</b></p><b>
</b></div></div></div></div><br>
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Sr. Data Engineer

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>9/10/2025</p>
</div><div><p>Description</p>
<div>Senior Manager, AI Engineering (People Leader) (GenAI Platform Services)<p><b>
Overview</b>:</p><p>
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.</p><p><b>
Team Description:</b></p><p>
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.</p><p><b><br>
In this role, you will:</b></p><ul><li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li><li>
Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li><li>
Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li><li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</li><li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li><li>
Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI.</li></ul><p><b>
The Ideal Candidate:</b></p><ul><li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li><li>
You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example.</li><li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li><li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li><li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li><li>
At least 1 year of people leadership experience</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
3 years of experience managing and leading an engineering team</li><li>
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul><p><i>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
Sales Territory: $204,900 - $233,800 for Sr. Mgr, AI Engineering<br>
<p></p>
McLean, VA: $225,400 - $257,200 for Sr. Mgr, AI Engineering<br>
<p></p>
New York, NY: $245,900 - $280,600 for Sr. Mgr, AI Engineering<br>
<p></p>
San Francisco, CA: $245,900 - $280,600 for Sr. Mgr, AI Engineering<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p>
Senior Manager, AI Engineering (People Leader) (GenAI Platform Services)<p><b>
Overview</b>:</p><p>
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.</p><p><b>
Team Description:</b></p><p>
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.</p><p><b><br>
In this role, you will:</b></p><ul><li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li><li>
Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li><li>
Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li><li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</li><li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li><li>
Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI.</li></ul><p><b>
The Ideal Candidate:</b></p><ul><li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li><li>
You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example.</li><li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li><li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li><li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li><li>
At least 1 year of people leadership experience</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
3 years of experience managing and leading an engineering team</li><li>
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul><p><i>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
Sales Territory: $204,900 - $233,800 for Sr. Mgr, AI Engineering<br>
<p></p>
McLean, VA: $225,400 - $257,200 for Sr. Mgr, AI Engineering<br>
<p></p>
New York, NY: $245,900 - $280,600 for Sr. Mgr, AI Engineering<br>
<p></p>
San Francisco, CA: $245,900 - $280,600 for Sr. Mgr, AI Engineering<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>
</div><div><p>Salary</p><p>
204,900.00 - 233,800.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Senior Manager, AI Engineering (People Leader) (GenAI Platform Services)

Piper Companies

<div><p>Zachary Piper is seeking an Sr. DevOps Engineer - TS/SCI CI Polygraph in the Reston, VA area for a leading global technology organization. The Sr. DevOps Engineer- TS/SCI CI Polygraph will design, implement, and secure scalable solutions within a classified enviornment. The Sr. DevOps Engineer - TS/SCI CI Polygraph must hold an active TS/SCI with CI Polygraph clearance and working onsite in the SCIF 5 days a week.</p><p></p><p><b><br>
Responsibilities for the Sr. DevOps Engineer - TS/SCI CI Polygraph include:
</b></p><ul><li>Architect and implement scalable AWS solutions in classified setting</li><li>Automate infrastructure provisioning using Terraform and Terragrunt (IaC)
</li><li>Ensure system security, compliance, and timely patching
</li><li>Deploy and oversee container orchestration using Kubernetes</li></ul><p><br>
</p><p><b>Requirements for the Sr. DevOps Engineer - TS/SCI CI Polygraph include:
</b></p><ul><li>Active TS/SCI with CI Polygraph clearance</li><li>Over 5 years of systems architecture experience
</li><li>Extensive experience within AWS and service integrations
</li><li>Strong Linux/Windows background
</li><li>Security+</li></ul><p></p><p><b><br>
Compensation of the Sr. DevOps Engineer - TS/SCI CI Polygraph:</b> $145,000-$190,000 annually with Full Comprehensive benefits package including Medical, Dental, Vision, 401K, PTO, Sick Leave as required by law</p><p>
This job opens for applications on September 4, 2025. Applications for this job will be accepted for at least 30 days from the posting date.</p><p>
Must be eligible to work in the United States</p><p></p><p><b><br>
</b></p><p>Keywords: Engineer, Architect, AWS, Amazon Web Services, IaC, Terraform, Terragrunt</p><p></p><p><br>
&#65279;#LI-JA1</p><p>
#LI-ONSITE</p></div>

Sr. DevOps Engineer - TS/SCI CI Polygraph

Check-Mate Industries

<div><p>Check-Mate Manufacturing LLC located in Thomasville, GA. Over the past 40 years, Check-Mate has proven to be the winning move for hundreds of customers in a diverse range of industries including aerospace, automotive, firearms, cosmetics, and medical industries. The unsurpassed customer service of the company has long been recognized as an innovator and leader in tool &amp; die, stampings and assemblies. Whether producing high-precision tools and progressive dies, stamping, or assemblies for everything from healthcare to personal security products, <b>Check-Mate</b> <b><i>out-thinks</i></b><b>, </b><b><i>out-maneuvers</i></b><b>, and </b><b><i>out</i></b><i>-</i><b><i>performs</i></b> its competition.</p><div><b><br>
SR. MANUFACTURING ENGINEER</b></div><p>
<b> ***</b><b>UNITED STATES CITIZEN OR GREEN CARD HOLDER ONLY</b><b>***</b></p><p><b>
 ***(</b><b>NO SPONSORSHIPS AVAILABLE)</b><b>***</b><br>
<b>SUMMARY OF POSITION</b><b>:</b><br>
<br>
Sr. Manufacturing Engineer responsibilities include development and implementation of best practices and new processes, identifying and driving process improvements, ownership of new product launches, serving as a technical expert for the company and customers, leadership and mentoring of less experienced peers, and new equipment and process specification and design. The candidate for this position must have demonstrated the application of best practices and lessons learned, complex mechatronics design / quoting / implementation experience, process development, value stream mapping and improvement, and creativity to develop World Class Processes with our Operations, Tool &amp; Die, QA, HR, and Facilities teams.</p><p><b><br>
ESSENTIAL FUNCTIONS</b><br>
<br>
Includes, but may not be limited to the following:</p><br>
<ul><li>
Sr. Manufacturing Engineer utilizes complex data analysis techniques to identify and correct process variances.</li><li>
Sr. Manufacturing Engineer represents the Check-Mate Engineering organization.</li><li>
as a technical leader on projects to internal and external customers.</li><li>
Sr. Manufacturing Engineer leads and manages teams during product and process development.</li><li>
Sr. Manufacturing Engineer provides operations and supplier support domestically and internationally.</li><li>
Sr. Manufacturing Engineer leads and participates in design reviews, owning and resolving action items.</li><li>
Sr. Manufacturing Engineer interacts with senior external personnel (customers / suppliers) on significant technical matters requiring coordination within and between organizations.</li><li>
Sr. Manufacturing Engineer must have thorough understanding of ERP systems including process specific data collection, validation, and presentation.</li><li>
Key expectations for this position include high level problem solving, along with technical leadership in the development of new processes. Senior manufacturing engineers will be required to make sound technical decisions, provide mentoring and leadership to junior engineers, and manage expenses and requirements of assigned tasks.</li><li>
This position will require effective communications with other engineers, tooling designers, maintenance, operators, engineers from other disciplines, along with line and program management and Customers, and our Executive Team.</li></ul><p><b>
Minimum Requirements:</b></p><ul><li>
B.S. degree in Systems, Industrial, or Mechanical Engineering or equivalent manufacturing education and experience</li><li>
7+ years&rsquo; experience in technical process support of manufacturing operations</li><li>
High Level project management, value stream metric analysis, process control</li><li>
5+ years Solving complex technical problems that require the regular use of ingenuity and creativity</li><li>
5+ years&rsquo; Mechanical design, analysis, and documentation of tooling and processes</li><li>
Experience with Metal Stamping, Fabrication, Assembly and Tooling</li><li>
Must be able to communicate efficiently and effectively (verbal, written, and electronic) to all levels of the organization</li><li>
A3 Communication or other CER / Project justification methods</li><li>
Completely qualified with MS Office, ERP systems, 3D modeling (SolidWorks, Inventor, or Creo). CNC machine operation and / or setup a plus.</li><li>
Proven project leadership / planning / communication &ndash; must give specific examples</li><li>
Problem solving skills and familiarity with multiple methods are a must &ndash; Shainin / L6S / 5-Why / PDCA</li><li>
Attention to detail and time management, deadline driven</li><li>
Must be able to thrive in a team setting with cross functional teams</li><li>
Must be able to handle multiple projects and maintain deadlines for same</li></ul><p></p><p><b><br>
EOE/AA/M/F/VET/D</b></p><p></p><p><br>
</p><p>
</p><p>4X37pMVbMq</p></div>

Senior Manufacturing Engineer- Metal Stamping- Thomasville, Georgia

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