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Senior Distinguished AI Engineer 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 - along with our deep experience in machine learning - 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 & 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. Team Description: 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. In this role, you will: 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: 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. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. 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. 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. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level 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 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer 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's offer letter. 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. 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. 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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Sr. Distinguished Machine Learning Engineer Overview: As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You'll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. What you'll do in the role: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, C/C++ Leverage compute technologies such as Dask and RAPIDS Evangelize best practices in all aspects of the engineering and modeling lifecycles Help recruit, nurture, and retain top engineering talent Basic Qualifications: Bachelor's degree At least 10 years of experience designing and building data-intensive solutions using distributed computing At least 7 years of experience programming in C, C++, Python, or Scala At least 4 years of experience with the full ML development lifecycle using modern technology in a business critical setting Preferred Qualifications: Master's Degree 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models 3+ years of experience using Dask, RAPIDS, or in High Performance Computing 3+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) Ability to communicate complex technical concepts clearly to a variety of audiences ML industry impact through conference presentations, papers, blog posts, or open source contributions Ability to attract and develop high-performing software engineers with an inspiring leadership style Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $314,800 - $359,300 for Sr Distinguished Machine Learning Engineer Plano, TX: $286,200 - $326,700 for Sr Distinguished Machine Learning Engineer 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's offer letter. 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. 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. 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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Senior Distinguished AI Engineer 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 - along with our deep experience in machine learning - 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 & 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. Team Description: 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. In this role, you will: 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: 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. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. 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. 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. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level 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 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer 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's offer letter. 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. 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. 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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Distinguished AI Engineer 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 - along with our deep experience in machine learning - 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 & 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. Team Description: 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. In this role, you will: 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: 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. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. 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. 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. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 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 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level 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 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer Richmond, VA: $244,700 - $279,200 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer 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's offer letter. 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. 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. 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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Senior Distinguished AI Engineer 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 - along with our deep experience in machine learning - 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 & 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. Team Description: 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. In this role, you will: 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: 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. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. 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. 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. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level 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 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer 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's offer letter. 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. 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. 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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Distinguished AI Engineer Overview: 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 - along with our deep experience in machine learning - 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 & 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. Team Description: 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. In this role, you will: You will play a crucial role to architect and launch conversational experiences that are powered by state of art Generative AI capabilities to millions of Capital One customers 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: 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. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. 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. 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. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level 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 Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying on top of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer 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's offer letter. 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. 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. 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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Sr. Distinguished AI Engineer 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 - along with our deep experience in machine learning - 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 & 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. Team Description: 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. In this role, you will: 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: 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. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. 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. 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. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level 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 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in application such as robotics, digital assistants, industrial automation, autonomous driving, or related Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer 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's offer letter. 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. 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. 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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Sr. Distinguished AI Engineer 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 - along with our deep experience in machine learning - 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 & 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. Team Description: 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. In this role, you will: 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: 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. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. 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. 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. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level 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 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in application such as robotics, digital assistants, industrial automation, autonomous driving, or related Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer 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's offer letter. 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. 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. 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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

DCS Corp is seeking a distinguished Senior Systems Engineer to serve as the on-site Subject Matter Expert (SME) for Electromagnetic Environmental Effects (E3) for the Program Manager, Advanced Amphibious Assault (PM AAA). This pivotal role involves providing expert engineering, analytical, and Test & Evaluation (T&E) support for critical Marine Corps systems, including the ACV and AAV platforms. You will be integral to ensuring system performance, reliability, and mission readiness by leading E3 test activities, verifying system requirements, and developing essential technical documentation within a structured DoD and Marine Corps acquisition framework. Essential Job Functions: Serve as the lead E3 subject matter expert for all PM AAA programs, providing authoritative guidance on MIL-STD-464D and MIL-STD-461G compliance. Conduct in-depth analysis of E3 test reports and data to verify system performance and validate requirements. Lead all phases of the T&E lifecycle, from test planning and coordination to execution and final system evaluation at the component, subsystem, and vehicle levels. Develop and refine key T&E documentation, including the Test and Evaluation Master Plan (TEMP) and system evaluation reports. Author, review, and edit a wide range of classified and unclassified technical documents, briefings, and engineering proposals (ECPs). Serve as the primary engineering liaison, interfacing daily with Government clients, PM AAA technical staff, and other stakeholders. Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. Bachelor's degree in electrical engineering or a related technical discipline with a minimum of 8 years of progressive experience in E3 engineering and Test & Evaluation for DoD systems. Secret level clearance is required. Demonstrated mastery of E3 principles and hands-on experience with MIL-STD-464D and MIL-STD-461G as applied to ground vehicle or amphibious systems. Proven ability to develop high-quality technical documentation for a DoD audience. Exceptional communication, analytical, and time management skills. Desired Skills: Direct experience providing engineering support to U.S. Marine Corps (USMC) programs, particularly PM AAA, ACV, or AAV. Prior experience working within an ACAT I program environment.

Job Title: Systems & Network Infrastructure Engineer Location: Reno, NV & Walnut Creek, CA (Onsite) Duration:12 Months Contract Job Description: Network Engineer is a senior level engineering position within IT Services. The engineer is expected to provide technical leadership in supporting ITS's systems and network infrastructure in support of business operations. The engineer is expected to have expert level knowledge of technical architecture and infrastructure components (hardware, systems software, network topology and configuration). The engineer is expected to play a role in the evaluation, selection, design, and delivery of technical solutions to support application development projects and/or that support the technical infrastructure, while adhering to industry standards and best practices. This person is expected to be able to assign tasks and monitor the work of less senior engineers. Required Skills: • Hardware, operating systems, systems software, and communications technologies including VMware virtualization, RH Linux, Windows Server 2016+, and Intel-based servers. • Storage systems and applications including RAID, NAS, SAN, Veeam backup software. • Systems and network monitoring tools such as Logic Monitor, Datadog, etc. • Network technologies and products including Cisco routers, Cisco switches, Fortinet SD-WAN, TCP/IP, SMTP, SNMP, and Cisco Meraki wireless communications. • Email, collaboration, and office productivity tools such as Microsoft 365 and 8x8. • Security tools including Active Directory, Azure AD, Fortinet firewalls, Crowdstrike Falcon, Microsoft Defender 365, SIEM tools. • IT Service Management tools such as ServiceNow • Building and operating standardized/normalized, automated, secure, and self-service cloud platforms for engineering teams, Infrastructure as Code (IaC), and DevSecOps. Experience in Azure is highly desirable. • Bachelor's degree from a four-year college or university • Additional professional and management education is highly desirable. • 10+ years of experience as a senior systems and network engineer • Strong background in infrastructure technologies, have experience in a similar technical role in a multi-billion dollar global corporation, and possess evidence of distinguished performance in leading enterprise-wide technology and process transformations. ESSENTIAL JOB FUNCTIONS • Hands-on experience in ITS' technologies. Exhibits initiative to learn new technologies related to ITS's target architecture. • Designs enterprise-wide infrastructure solutions and their specifications and configuration. • Possesses a deep understanding of ITS's enterprise architecture, server and network hardware, network design, systems software and tools, and vendors. • Relied upon as an expert in relevant technical subject areas. Expert level skills in conducting evaluations and selection of new products and technologies being considered for use. • Able to apply business knowledge and insights to design sound solutions. Continually seeks to expand on business knowledge. • Provide 24X7 support for telecommunications, wired and wireless networking, computing &, storage infrastructure, and Azure cloud platform. • Implement necessary information security controls for all infrastructure components. • Work with vendors and service providers to ensure services are provided in an efficient and effective manner. • Communicate well in a small group setting. Able to present technical ideas and influence outcomes. • Proactive in providing input to principal-level engineers and/or managers with respect to technical issues or decisions under consideration. • Provides leadership in proactively recognizing and resolving issues. Continually strives to improve ITS's technical infrastructure and make improvements in processes and practices. • Works independently without supervision. Can be relied upon to deliver quality work. • Engage staff at all levels efficiently. Assign tasks and monitor the work of less senior engineers. • Perform On-Call responsibilities for production support of ITS enterprise infrastructure as needed. • This may be required on off-hours or on weekends. • Performs special projects as assigned. Thanks & Regards Vineeth Damarla Sr. BDM Delivery Manager

Category:: Faculty Subscribe:: Department:: Watson College of Engineering and Applied Science Locations:: Binghamton, NY Posted:: Dec 3, 2025 Closes:: Open Until Filled Type:: Full-time Ref. No.:: 1195 Position ID:: 195278 About Binghamton University: Binghamton University is a premier public R1 research institution in the State University of New York (SUNY) system that unites more than 130 broadly interdisciplinary educational programs with some of the most vibrant research in the nation. Our unique character - shaped by our mission, outstanding academics, facilities, and community life - promotes extraordinary student success, research, and service; Binghamton University is where our students, faculty and staff thrive. Working at Binghamton University is more than about having a great job - it is about having the opportunity to flourish in an exciting, engaging environment. Our faculty and staff appreciate Binghamton's collegial and inclusive culture and its commitment to excellence, education, innovation, and civic engagement. Our diverse campus community contributes to our success. Binghamton merges rigorous academics, distinguished faculty who value cutting-edge, and community-engaged research, teaching and service, exceptional staff, and ultramodern facilities to engage and challenge its 18,000+ students. Our high-achieving student body represents diverse experiences from first-generation college-goers to international students. Beyond their talent, these classmates share a desire to shape the future through technology, insight, intellectual exploration, and community service. Job Description: Binghamton University is nationally recognized for its leadership in microelectronic systems, semiconductors, and advanced packaging, leveraging a comprehensive ecosystem of research centers, state-of-the-art facilities, and industry partnerships. The Small Scale Systems Integration and Packaging (S3IP) center at Binghamton is a New York State Center of Excellence that houses multiple specialized centers, including the Center for Heterogeneous Integration Research in Packaging (CHIRP), Center for Advanced Microelectronics Manufacturing (CAMM), Integrated Electronics Engineering Center (IEEC), Energy Smart Electronic Systems (ES2) center, and Analytical and Diagnostic Laboratory (ADL). Our faculty members and scientists conduct sponsored research in advanced packaging, heterogeneous integration, semiconductor manufacturing and materials, flexible electronics, energy efficient electronics, and process optimization, among others. Since 1996, their research efforts have generated over $1.9 billion in economic impact for New York State, supported by collaborations with over 75 companies, including IBM, AMD, NVIDIA, Google, Intel, General Electric, Lockheed Martin, and GlobalFoundries. The Thomas J. Watson College of Engineering and Applied Science at Binghamton University invites applications from experts in Microelectronics for a tenured faculty position at the Full Professor level. This position will carry the title of Professor of Empire Innovation, and is supported in part by SUNY's Empire Innovation Program (EIP), a key initiative to recruit and retain faculty with an established track record of research and scholarship in areas of strategic priority. We are seeking a well-established expert who has a track record of leadership in funded research and scholarship in one or more areas of Microelectronics, including: Codesign for Heterogeneous Integration/Advanced Packaging: (a) EDA tools for chiplet integration or chiplet system design, including applied AI/ML techniques for microelectronics co-design, and (b) modeling for co-design with crosscutting considerations of the chiplet system architecture, thermal and mechanical issues, materials and reliability Digital Twinning for Semiconductor Manufacturing and Packaging (SMP): Process optimizations for SMP across lithography, device and chiplet fabrication, chiplet integration/assembly, material choices and materials synthesis for improving manufacturing yield Semiconductor Lifecycle Impact Reduction: Sustainable microelectronics manufacturing across the entire product lifecycle using use of eco-friendly materials, minimizing the use of hazardous chemicals (e.g., PFAS), energy-efficient processes, circular economy models, utilizing lifecycle assessment tools, and end-of-life microelectronics waste planning and management As a Professor of Empire Innovation, the successful candidate must have an established record of securing funding from federal/state agencies and industry. They will be expected to lead in pursuing large funding opportunities from federal and state agencies besides industry partners and enhance the collaborative research ecosystem involving multiple campus units across Binghamton University. The successful hire would also help recruit and attract top talent to complement existing strengths. Depending on the specialization and match, the successful candidate could be a tenured faculty in the Electrical and Computer Engineering (ECE) Department, the Mechanical Engineering (ME) Department, the School of Computing (CS), or the School of System Science and Industrial Engineering (SSIE). The successful candidate will receive a comprehensive startup package including competitive salary compensation and benefits commensurate with qualifications and experience. Requirements: A doctoral degree in Engineering, Computer Science, or a closely related discipline Proven record of research leadership in cross-cutting multi-institutional collaborative teams Proven record of sponsored research funding from federal and state agencies Proven record of peer-reviewed high-impact publications Experience as an educator and research mentor at the undergraduate and/or graduate level Preferred: Significant scholarly work and contributions within one or more of the focus areas of: Codesign for Heterogeneous Integration/Advanced Packaging Digital Twinning for Semiconductor Manufacturing and Packaging Semiconductor Lifecycle Impact Reduction. Potential for leading multi-disciplinary research in Microelectronics across different departments and schools of Watson College. Please be advised that H1B visa sponsorship may not be available for this position. Additional Information: Binghamton University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, please contact the ADA Coordinator by completing the following Request Form . The State University of New York is an Equal Opportunity/Affirmative Action Employer. It is the policy of Binghamton University to provide for and promote equal opportunity employment, compensation, and other terms and conditions of employment without discrimination on the basis of age, race, color, religion, disability, national origin, gender identity or expression, sexual orientation, veteran or military service member status, marital status, domestic violence victim status, genetic predisposition or carrier status, or arrest and/or criminal conviction record unless based upon a bona fide occupational qualification or other exception. As required by title IX and its implementing regulations, Binghamton University does not discriminate on the basis of sex in the educational programs and activities which it operates. This requirement extends to employment and admission. Inquiries about sex discrimination may be directed to the University Title IX Coordinator or directly to the Office of Civil Rights (OCR). Contact information for the Title IX Coordinator and OCR, as well as the University's complete Non-Discrimination Notice may be found here. Pursuant to Executive Order 161, no State entity, as defined by the Executive Order, is permitted to ask, or mandate, in any form, that an applicant for employment provide his or her current compensation, or any prior compensation history, until such time as the applicant is extended a conditional offer of employment with compensation. If such information has been requested from you before such time, please contact the Governor's Office of Employee Relations at or via email at . Binghamton University is a tobacco-free campus effective August 1, 2017. Offers of employment will be contingent upon successful completion of a pre-employment background check and verification of degree(s) and credentials. Application Instructions: All applicants must apply via Interview Exchange: Review of applications will begin immediately and continue until the vacancy is filled. After filling out contact information, you will be directed to an upload page where you must submit: a cover letter, a curriculum vitae, a statement of research interests, a statement of teaching interests, a diversity statement, and names and contact information of three references. Deadline for Applicants: Open until filled. To check/edit your profile or to upload additional documents, please log into

Program Analyst (7398) Job 82113 - Berkeley Institute for Data Science (BIDS) About Berkeley At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff. As a world-leading institution, Berkeley is known for its academic and research excellence, public mission, diverse student body, and commitment to equity and social justice. Since our founding in 1868, we have driven innovation, creating global intellectual, economic and social value. We are looking for applicants who reflect California's diversity and want to be part of an inclusive, equity-focused community that views education as a matter of social justice. Please consider whether your values align with our Guiding Values and Principles , Principles of Community , and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our full-time staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. Find out more about how you can grow your career at UC Berkeley. Departmental Overview The Berkeley Institute for Data Science (BIDS - ) was founded in 2013 to build on Berkeley's strength in data science with a multidisciplinary emphasis. BIDS aims to facilitate and enhance the development and application of cutting-edge data science techniques in the biological, physical, social, and engineering sciences. Today, BIDS is part of the new College of Computing, Data Science and Society (CDSS), where it serves as a hub for interdisciplinary research, tool development, and exchange of ideas between methodologies in computing, statistics, and AI. BIDS connects with domain experts from across the entire disciplinary spectrum on campus, and hosts collaborations with local and national partners, including Lawrence Berkeley National Lab and NASA, within the unique intellectual ecosystem of Berkeley. As CDSS further advances UC Berkeley's eminence in Data Science research and education, BIDS serves as a central hub connecting scholars on campus, as well as reaching out to other Berkeley institutions, including LBNL, the Simons Laufer Mathematical Sciences Institute, the Space Sciences Laboratory, the International Computer Science Institute, and the SkyDeck Startup Incubator. BIDS' expertise in open-source tool development and open science makes it an ideal place to be a home for communities of practice around open knowledge, at a time when both open-source software is becoming the norm for research computing and when open science ideas are becoming part of national science policies across multiple agencies. From this perspective, BIDS will help scholars from different fields to find shared needs, interests, and ideas and build new collaborations. BIDS also aims to foster conversations regarding the role of Science and Society in the development of new tools and systems for AI. As a discipline-neutral environment, it will provide open space for emerging work ranging from the representation of scientific knowledge in AI models and the use of AI as a scientific instrument, to explorations with social scientists and humanists of questions at the intersection of the human experience, our social context, and the role of AI in our lives. Reporting to the Assistant Dean for Interdisciplinary Initiatives, the Program Analyst manages a wide variety of analyses, strategies, and implementations to support the development and success of interdisciplinary initiatives in CDSS. The PA works closely with members of the Dean's Cabinet and centers and institutes within and affiliated with CDSS. Implements strategic initiatives for the college, including the Dean's Distinguished Lecture series and the State of the Planet Lectures Series, as well as staffing and research for a variety of committees, working groups, and task forces. The Program Analyst collaborates closely with faculty and staff of CDSS interdisciplinary units to support key objectives. This individual integrates input and lessons learned from across campus to understand the relative opportunities and challenges associated with new programs, such as research initiatives and corporate engagement strategy; works with key stakeholders to develop and implement the initiative. Manages a wide variety of internal and public-facing programs, including awards, lectures, and research convenings, especially related to core themes, including environment, social wellbeing, and human health. Application Review Date The First Review Date for this job is: 11/10/25 - Open until filled Responsibilities 20% Proposes and provides staffing for policy and planning committees, task forces, and working groups to meet the academic and operational goals of the college's interdisciplinary mission. Provides analysis and committee support for strategic and ad hoc efforts, including industry engagement, funding strategy, and efforts around CDSS research themes. Implements actions and events as recommended. Collaborates with the leadership of key units and programs, such as the Berkeley Institute for Data Science (BIDS), the Bakar Institute of Digital Materials for the Planet (BIDMaP), and others. 10% Proposes a strategy for programmatic and structural needs to promote interdisciplinary collaboration, specifically related to faculty-defined priorities for interdisciplinary research and identified intellectual themes. Incorporates recommendations from faculty committees, center directors, and individuals. Coordinates with faculty experts and stakeholders to generate content. 15% Performs ad hoc, analytical studies as needed for the wide variety of programs and complex issues for the wide variety of topics that faculty committees are handling. Determines, in collaboration with committee chairs, what materials will be constructive in advance of meetings and in follow-up; prepares materials and distributes to maximize committee productivity and limit faculty administrative burden. Provides analyses of internal and external corporate engagement programs as benchmarks. Performs budget, financial, academic, data, and systems analysis. Collaborates with executive leadership, academic leadership, program coordinators, and managers, to enhance corporate engagement strategy, communication, and implementation in CDSS. 15% Develops proposals to fund programming in collaboration with college leadership and/or leadership of interdisciplinary centers and institutes, and involved faculty. For philanthropic proposals, collaborates closely with Development. Researches complex programs, benchmarks similar processes, distils scientific data, and communicates plans clearly in writing. 15% Collaborates with events staff, faculty committees, faculty stakeholders, and the college leadership team to plan lectures and events. Liaises between faculty committees, which will set objectives, and the events staff to meet the objectives of each event. Coordinates implementation with cross-organizational departments or external entities. Prepares briefings, content, draft questions for panels, and talking points or scripts for leadership, including the dean. Establishes and maintains contacts internally and with external constituents for the collection and exchange of data. 5% Conducts post-implementation analysis to determine the need for further enhancements, finer distinctions, and/or additional process/policy components for the purpose of maintaining and improving event quality and stakeholder engagement over time. Tracks progress and prepares reports, including donor reports, in collaboration with development, to document results, including for donor-funded lectures and events. 5% Researches and summarizes best practices among peers on and off campus. Develops process and procedures handbooks to increase efficiency and process understanding, facilitates staff and faculty objectives when working through relevant processes, and promotes process transparency and increased understanding of best practices. Conducts programmatic benchmarks. 5% Research, monitors and analyzes regulations, legislation, research literature, and UC policies for a variety of needs within the college, such as preparing draft RFI responses to funding agencies. Prepares directives, regulations, technical guidance, and other instructions for issuance to stakeholders. 5% Develops scope of work, budgets, and reports for project requirements. 5% Other duties as assigned. Required Qualifications Knowledge of common organization, or research-specific, and other computer application programs. Excellent communication and interpersonal skills to communicate effectively, both verbally and in writing. Ability to use discretion and maintain all confidentiality. Analytical / problem-solving skills. Strong skills in analyzing, researching, and synthesizing large amounts of data for preparing sound and relevant proposals/analyses. Ability to multi-task with demanding timeframes. Strong policy analysis techniques. Ability to anticipate workflows and timing, generate workplaces, and prioritize. Ability to observe group dynamics and assess strategies for communication. . click apply for full job details

Category:: Faculty Subscribe:: Department:: School of Computing Locations:: Binghamton, NY Posted:: Dec 1, 2025 Closes:: Open Until Filled Type:: Full-time Ref. No.:: 13524 Position ID:: 195195 About Binghamton University: Binghamton University is a premier public R1 research institution in the State University of New York (SUNY) system that unites more than 130 broadly interdisciplinary educational programs with some of the most vibrant research in the nation. Our unique character - shaped by our mission, outstanding academics, facilities, and community life - promotes extraordinary student success, research, and service; Binghamton University is where our students, faculty and staff thrive. Working at Binghamton University is more than about having a great job - it is about having the opportunity to flourish in an exciting, engaging environment. Our faculty and staff appreciate Binghamton's collegial and inclusive culture and its commitment to excellence, education, innovation, and civic engagement. Our diverse campus community contributes to our success. Binghamton merges rigorous academics, distinguished faculty who value cutting-edge, and community-engaged research, teaching and service, exceptional staff, and ultramodern facilities to engage and challenge its 18,000+ students. Our high-achieving student body represents diverse experiences from first-generation college-goers to international students. Beyond their talent, these classmates share a desire to shape the future through technology, insight, intellectual exploration, and community service. Job Description: Department Overview Binghamton University is one of four University Centers in the State University of New York System and an R1 research institute. Binghamton University was recently named a Top 10 Public Ivy by Forbes. The School of Computing (formerly Computer Science Department) has well established Ph.D. and M.S. programs, an accredited B.S. program in Computer Science, and an M.S. program in Information Systems. The School of Computing is ranked between 201 - 250 in the world by the recent THE (Times Higher Education) world ranking. The School currently has 51 full-time faculty members, about 800 undergraduate students, about 700 MS students and about 90 PhD students. The NSF industry-university collaborative research center on energy-smart electronic systems and local high-tech companies such as IBM, Lockheed-Martin and BAE provide opportunities for collaboration. The university has a Data Science Transdisciplinary Area of Excellent (TAE), which will provide opportunities for collaboration across the entire campus. Binghamton University was recently designated as a National Center of Academic Excellence in Cyber Defense Research (CAE-R) by the National Security Agency and the Department of Homeland Security, and was also selected as an NSF CyberCorp Scholarship for Service (SFS) site. Our faculty members excel in research in the areas of computer systems, artificial intelligence and cybersecurity and have a significant record of success, with eight faculty members receiving the NSF CAREER Award in the past four years and significant annual research funding from a variety of agencies. The Binghamton University Institute for AI and Society, established under the SUNY STRIVE Artificial Intelligence strategic plan, addresses the transformational impact of AI on society through high-impact socio-technical research. The Institute integrates cross-disciplinary strengths across AI technology, community engagement, arts, social sciences, education, and healthcare to advance safe, secure, and ethical AI innovations. As a member of the Empire AI Consortium, researchers have access to state-of-the-art computational infrastructure, including large-scale GPU clusters and high-performance computing resources. The Institute has established research excellence in robotics and embodied-AI, safety and security, misinformation and inauthentic online behavior, as well as socio-technical analysis of emerging platforms, positioning faculty to tackle critical problems at the intersection of AI and society. Job Description The School of Computing in the Thomas J. Watson College of Engineering and Applied Science at Binghamton University (The State University of New York at Binghamton) invites applications for a tenure-track positions at the Assistant and Associate Professor level with an expected start date of September 1, 2026. We are looking for candidates in the area of AI and Society. We invite candidates in areas including, but not limited to: AI Safety, Trustworthiness, and Adversarial Systems: Research on adversarial manipulation of AI systems, bot detection, coordinated inauthentic behavior, platform integrity, and mechanisms for building robust and trustworthy AI systems at scale. Computational Social Science and Online Harms: Large-scale empirical analysis of online communities, toxic behavior, hate speech, harassment campaigns, radicalization pathways, and the socio-technical dynamics of fringe and mainstream social media. Misinformation, Disinformation, and Information Integrity: Detection and analysis of coordinated information operations, low-credibility content propagation, generative AI misuse for deception, and interventions for maintaining information ecosystem health. AI Systems and Societal Impact in Diverse Domains: Research on bias, fairness, and demographic representation in AI/ML systems; algorithmic accountability; healthcare; critical infrastructure; and the downstream effects of AI deployment in high-stakes social contexts. Machine Learning for Social Computing: Development of scalable ML methods for social media analysis, natural language processing for content moderation, and large-scale data mining of online behavior. The School of Computing and the Watson College are dedicated to the goal of building a diverse and inclusive teaching, research, and working environment. We are particularly interested in candidates with a commitment to diversity and inclusiveness. Historically underrepresented minorities, women, persons with disabilities, and veterans, are encouraged to apply. Requirements: Minimum Qualifications (Required) 1. Must have a Ph.D. in computer science or a relevant field by September 1, 2026 2. Record of research Preferred Qualifications (Optional) The following qualifications are preferred but not required: 1. College-level teaching experience. 2. Educational or teaching experience in a U.S.-based setting. Please be advised that H1B visa sponsorship may not be available for this position. Additional Information: Binghamton University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, please contact the ADA Coordinator by completing the following Request Form . The State University of New York is an Equal Opportunity/Affirmative Action Employer. It is the policy of Binghamton University to provide for and promote equal opportunity employment, compensation, and other terms and conditions of employment without discrimination on the basis of age, race, color, religion, disability, national origin, gender identity or expression, sexual orientation, veteran or military service member status, marital status, domestic violence victim status, genetic predisposition or carrier status, or arrest and/or criminal conviction record unless based upon a bona fide occupational qualification or other exception. As required by title IX and its implementing regulations, Binghamton University does not discriminate on the basis of sex in the educational programs and activities which it operates. This requirement extends to employment and admission. Inquiries about sex discrimination may be directed to the University Title IX Coordinator or directly to the Office of Civil Rights (OCR). Contact information for the Title IX Coordinator and OCR, as well as the University's complete Non-Discrimination Notice may be found here. Pursuant to Executive Order 161, no State entity, as defined by the Executive Order, is permitted to ask, or mandate, in any form, that an applicant for employment provide his or her current compensation, or any prior compensation history, until such time as the applicant is extended a conditional offer of employment with compensation. If such information has been requested from you before such time, please contact the Governor's Office of Employee Relations at or via email at . Binghamton University is a tobacco-free campus effective August 1, 2017. Offers of employment will be contingent upon successful completion of a pre-employment background check and verification of degree(s) and credentials. Application Instructions: To apply, submit the following documents via Interview Exchange: Cover letter (at the beginning of your cover letter please provide a single sentence indicating your primary teaching and primary research interest areas) Curriculum Vitae (CV) Teaching statement Research statement Diversity statement (which describes your experience and evidence of teaching a diverse population of students, including first generation students . click apply for full job details

Category:: Faculty Subscribe:: Department:: Department of Electrical and Computer Engineering Locations:: Binghamton, NY Posted:: Dec 12, 2025 Closes:: Open Until Filled Type:: Full-time Ref. No.:: 728 Position ID:: 195629 About Binghamton University: Binghamton University is a premier public R1 research institution in the State University of New York (SUNY) system that unites more than 130 broadly interdisciplinary educational programs with some of the most vibrant research in the nation. Our unique character - shaped by our mission, outstanding academics, facilities, and community life - promotes extraordinary student success, research, and service; Binghamton University is where our students, faculty and staff thrive. Working at Binghamton University is more than about having a great job - it is about having the opportunity to flourish in an exciting, engaging environment. Our faculty and staff appreciate Binghamton's collegial and inclusive culture and its commitment to excellence, education, innovation, and civic engagement. Our diverse campus community contributes to our success. Binghamton merges rigorous academics, distinguished faculty who value cutting-edge, and community-engaged research, teaching and service, exceptional staff, and ultramodern facilities to engage and challenge its 18,000+ students. Our high-achieving student body represents diverse experiences from first-generation college-goers to international students. Beyond their talent, these classmates share a desire to shape the future through technology, insight, intellectual exploration, and community service. Job Description: Binghamton University, considered by many organizations as the top State University of New York, is a world-class institution that unites more than 130 broadly interdisciplinary educational programs with some of the most vibrant research in the nation. Binghamton University is a Carnegie Classification R1 Doctoral University, with Forbes calling it a top Public Ivy while ranking it # 24 among U.S. public universities and U.S. News & World Report's ranking it # 34 among public universities. Our unique character - shaped by outstanding academics, facilities and community life - promotes extraordinary student success. Binghamton merges rigorous academics, distinguished faculty and state-of-the-art facilities to engage and challenge its 18,000 students. The high-achieving Binghamton student body also represents a great diversity of life experiences, from first-generation college-goers to international students. Beyond their talent, these classmates share a desire to shape the future through technology, insight, intellectual exploration and community service. The Department of Electrical and Computer Engineering in the Thomas J. Watson College of Engineering and Applied Science at the State University of New York (SUNY University Center at Binghamton) invites applications for a faculty position at the rank of assistant professor to begin fall 2026. Individuals with an established record of obtaining competitive research funding and a history of scholarly excellence will be considered for appointment at the Associate Professor rank. The Department seeks candidates who are able to expand our research expertise in the general area of control systems and their practical implementation, with particular interest in robotics (perception, sensing, and real-world autonomous operation) or relevance to other ECE's research areas. The successful applicant will be expected to engage in scholarly activities, establish and lead an externally funded research program, and maintain excellence in teaching students at the BS, MS, and PhD levels. The department is particularly interested in candidates with experimental focus and those whose application expertise will have synergy with the research areas of our existing faculty, including Power & Energy, Cyber Physical Resilience & AI Security, Quantum Information Science & Engineering, Bioelectronics & Bioinformatics, and Semiconductors. The successful candidate will help advance Watson College's commitment to a diverse, equitable, and inclusive academic environment and will engage in collaborative initiatives across Binghamton University. Watson College Commitments: Watson College stands committed to fostering a community that reflects our diverse society to ensure that its teaching, research, scholarship, and outreach programs include and serve a wide range of individuals. Underpinning the technical, engineering, and computer science expertise of Watson College faculty, staff, students and alumni is an understanding that diverse and inclusive groups maximize potential, innovation, and impact. We, therefore, develop structures and opportunities that improve the experience of all students, especially those who are underrepresented in engineering and computer science. Watson faculty, staff, and students assist in cultivating a community of members that are conscious of barriers to social mobility, exhibit and act on empathy and compassion, and advocate for diversity, equity, and inclusion (DEI), both within the college and beyond. Together, we learn, educate, innovate, and work toward a more just and inclusive future. We embrace and cultivate our diversity and thrive because of it. We strongly encourage potential applicants who share these goals, especially underrepresented minorities, women, and persons with disabilities to apply. Requirements: Requirements: Ph.D. in Electrical Engineering, Computer Engineering, or a related field Effective communication skills Record of scholarship as evidenced by peer-reviewed publications and citations Teaching experience at the undergraduate/graduate levels Commitment to research Commitment to inclusive academic culture Preferred: Experience in proposal writing Please be advised that H1B visa sponsorship may not be available for this position. Additional Information: Binghamton University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, please contact the ADA Coordinator by completing the following Request Form . The State University of New York is an Equal Opportunity/Affirmative Action Employer. It is the policy of Binghamton University to provide for and promote equal opportunity employment, compensation, and other terms and conditions of employment without discrimination on the basis of age, race, color, religion, disability, national origin, gender identity or expression, sexual orientation, veteran or military service member status, marital status, domestic violence victim status, genetic predisposition or carrier status, or arrest and/or criminal conviction record unless based upon a bona fide occupational qualification or other exception. As required by title IX and its implementing regulations, Binghamton University does not discriminate on the basis of sex in the educational programs and activities which it operates. This requirement extends to employment and admission. Inquiries about sex discrimination may be directed to the University Title IX Coordinator or directly to the Office of Civil Rights (OCR). Contact information for the Title IX Coordinator and OCR, as well as the University's complete Non-Discrimination Notice may be found here. Pursuant to Executive Order 161, no State entity, as defined by the Executive Order, is permitted to ask, or mandate, in any form, that an applicant for employment provide his or her current compensation, or any prior compensation history, until such time as the applicant is extended a conditional offer of employment with compensation. If such information has been requested from you before such time, please contact the Governor's Office of Employee Relations at or via email at . Binghamton University is a tobacco-free campus effective August 1, 2017. Offers of employment will be contingent upon successful completion of a pre-employment background check and verification of degree(s) and credentials. Application Instructions: All applicants must apply via the university applicant tracking system, Interview Exchange: Applicants should submit: A cover letter, A curriculum vitae (including a list of publications), Research Statement (3-5 pages), Teaching statement (1-2 pages) A diversity statement that describes your experience teaching a diverse population of students, which may include first-generation students, students from diverse racial and ethnic backgrounds, and international students, and how this experience would contribute to enhancing the diversity and climate of the department, college, and university, and The names and contact information of three professional references; Associate Professor applicants will be asked to provide contact information for a fourth reference at a later stage. Applications received by January 25, 2026, will receive full consideration. Position will remain open until filled.

Job Title: Department Chair and Professor, 9 Month Salaried (Department of Electrical and Computer Engineering -Florida A&M University -Florida State University College of Engineering Location: Tallahassee, FL Regular/Temporary: Regular Full/Part Time: Full-Time Job ID: 61570 Department The Department of Electrical and Computer Engineering (ECE) at the Florida A&M University (FAMU)-Florida State University (FSU) College of Engineering invites applications from highly qualified individuals for the position of Chair and Professor. Responsibilities The Chair of the Department of Electrical and Computer Engineering will: Provide visionary leadership in advancing a compelling departmental mission aligned with the College's Engineering Our Future () strategic plan. Guide the development and implementation of a dynamic research agenda, fostering collaboration among faculty, research centers, and external partners to enhance infrastructure and secure intramural and extramural funding. Oversee and strengthen the department's educational programs, promoting excellence in curriculum design, delivery, assessment, and pedagogical innovation across all degree levels. Lead student recruitment and engagement efforts, with particular emphasis on attracting high-quality doctoral candidates and supporting student success. Recruit, mentor, and retain outstanding faculty, building a strong team of scholars in emerging and high-impact areas of electrical and computer engineering. Cultivate strategic industry and government partnerships that expand research opportunities, experiential learning, and workforce development. Serve as a vital liaison to college and university administration, funding agencies, policymakers, and professional organizations, representing the department's interests with clarity and purpose. Collaborate as an active member of Dean's leadership team, contributing to the College's collective growth, resource development, and strategic initiatives. Foster synergy and interdisciplinary collaboration within the department and with major research centers-including CAPS, ASC, HPMI, FCAAP, and InSPIRE-as well as with national laboratories and external stakeholders. Engage in advancement and external relations, maintaining and strengthening relationships with the Department Advisory Council and working closely with the College's advancement team to support fundraising and alumni engagement. Qualifications An earned Ph.D. or equivalent in Electrical or Computer Engineering, or a closely related discipline, with professional and academic credentials meriting appointment as a tenured Full Professor in the department. A distinguished record of research and scholarship, including sustained external funding, graduate student mentorship, impactful publications, and recognized intellectual leadership. Demonstrated excellence in teaching and a strong commitment to advancing engineering education through innovative pedagogy, curriculum design, and emerging modes of delivery. Proven ability to articulate and implement a forward-looking vision for departmental growth, foster strategic planning, and lead organizational change in a complex academic environment. A record of effective leadership and administrative experience, including budget management, faculty recruitment, and operational oversight of academic and research programs. Active engagement with professional societies, industry, government laboratories, and multi-organization collaborations, with a demonstrated capacity to build strategic partnerships that enhance research and educational impact. Ability to collaborate effectively across departments, research centers, and university leadership to align departmental priorities with the College's Engineering Our Future () plan and institutional missions. A demonstrated commitment to advocating for faculty, students, and staff while cultivating resources, infrastructure, and support systems that promote academic and research excellence. Preferred Qualifications Exceptional communication and interpersonal skills. Prior academic leadership experience as an associate department head/chair, center director, or similar level of responsibility. Have a demonstrated record of high-quality research and scholarly publications that are recognized nationally and/or internationally. Helpful The FAMU-FSU College of Engineering is the nexus of two major public universities, each with a distinct mission but focused on world-class engineering education and research. Created by the Florida Legislature in 1982, the joint organization is the college of engineering for both Florida A&M and Florida State universities. This unique combination of focus, resources and mission from our parent organizations has created on our campus a truly innovative atmosphere that leverages the benefits of the traditional HBCU model with the innovations of an R-1 public research university. Contact Info Any questions about the position should be directed to the search committee chair: Dr. Rodney Roberts (). University Information One of the nation's elite research universities, Florida State University preserves, expands, and disseminates knowledge in the sciences, technology, arts, humanities, and professions, while embracing a philosophy of learning strongly rooted in the traditions of the liberal arts and critical thinking. Founded in 1851, Florida State University is the oldest continuous site of higher education in Florida. FSU is a community steeped in tradition that fosters research and encourages creativity. At FSU, there's the excitement of being part of a vibrant academic and professional community, surrounded by people whose ideas are shaping tomorrow's news! Learn more about our university and campuses. FSU Total Rewards FSU offers a robust Total Rewards package. Visit our website to learn more about our Compensation, Benefits, Wellness, Recognition, and Employee Development programs. Use our interactive tool to calculate Total Compensation options based on potential salary, benefits and retirement contributions, earned leave, and other employment-related perks. How To Apply If qualified and interested in a specific Faculty job opening as advertised, apply to Florida State University at If you are a current FSU employee, apply via myFSU > Self Service. Applicants are required to complete the online application with all applicable information. Applications must include: A cover letter A full curriculum vitae A 2-to-5-page statement describing how the candidate's experience positions them well to serve as the Department Chair for Electrical and Computer Engineering at The FAMU-FSU College of Engineering. A research statement including research interests and plans The names and contact information of five potential references Faculty Information The ECE Department currently has 35 faculty, 90+ graduate students, 450+ undergraduate students, and annual research expenditures exceeding $17M. The two universities and outstanding research facilities in the affiliated research buildings/centers provide opportunities for collaboration with faculty in Computer Science and Scientific Computing, the Center for Advanced Power Systems , FAMU Center for Cyber Security , National High Magnetic Field Laboratory (NHMFL ), Center for Intelligent Systems, Control and Robotics , FSU Institute of Molecular Biophysics , FSU Jim Moran College of Entrepreneurship, and FSU College of Medicine Considerations This is a Faculty position. This position requires successful completion of a criminal history background check . To ensure full consideration, please submit your application by December 8, 2025. The applications will be reviewed beginning November 30, but the position will remain open for applications until filled. The appointment is expected to begin in August 2026. Equal Employment Opportunity FSU is an Equal Employment Opportunity Employer.

Category: : Faculty Subscribe: : Department: : Computer Science - 02110 Locations: : Albany, NY Posted: : Oct 20, 2025 Closes: : Open Until Filled Type: : Full-time Ref. No.: : WF250122 Position ID: : 193984 About University at Albany: Established in 1844 and designated a University Center of the State University of New York in 1962, the University at Albany's broad mission of excellence in undergraduate and graduate education, research and public service engages a diverse student body of approximately 17,000 students in nine schools and colleges across three campuses. Located in Albany, New York, New York State's capital, the University is convenient to Boston, New York City and the Adirondacks. Job Description: The Computer Science Department within the College of Nanotechnology, Science, and Engineering at the University at Albany, SUNY, is seeking applicants for an Associate or Full Professor to begin Fall 2026. Areas of particular interest include computer science Systems, and the specific research topic this EIP targets is AI-Supported microelectronic chip design. The position is a SUNY Empire Innovation Program position, which is intended to recruit and support faculty with particularly strong records of research accomplishments. More information about the SUNY Empire Innovation Program can be found here: The successful candidate is expected to develop an externally funded research program in computer science. In addition, the applicant will be responsible for teaching 3-4 courses per year at the undergraduate and graduate levels and participate in curriculum development. Specific teaching assignments will be determined by the candidate's expertise and the needs of the Department. Faculty are expected to provide service to the College and their home departments and programs by participating in governance as well as providing professional service to the community and their disciplines. The successful applicant will be expected to actively mentor undergraduate and graduate students, including underserved and historically underrepresented students, and participate in pipeline programs to help build a diverse and representative student population. EIP professors are expected to work in an interdisciplinary way with faculty in other departments, including the departments of Nanoscale Science & Engineering, Electrical & Computer Engineering, and Environmental & Sustainable Engineering. EIP professors are also expected to mentor junior faculty. Primary Responsibilities: Teach classes in the computer science systems domain, including but not limited to computer architectures, computer networks, operating systems, and software engineering Research, including supervision of PhD students and postdoctoral scholars Service to the CS department, CNSE, and UAlbany participating in departmental meetings, service activities such as student recruitment and outreach Functional and Supervisory Relationships: Reports to Computer Science Chair Supervises the following positions: NA May supervise as assigned: Graduate and undergraduate students working as teaching assistants, lab supervisors, and graders Job Requirements: A distinguished record of scholarship, teaching, and service that qualifies for a tenured appointment at the rank of Associate or Full Professor Strong communication, interpersonal, and organizational skills Demonstrated teaching experience or strong potential for effectively teaching CS courses and otherwise communicate effectively about CS concepts at the undergraduate and graduate level A demonstrated commitment to diversity, equity, inclusion, and student success Requirements: Minimum Qualifications: Ph.D. in Computer Science or related discipline from a college or University accredited by the US Department of Education or internationally recognized accrediting organization A record of undergraduate and graduate teaching that meets the criteria for a tenured faculty appointment at the rank of Associate Professor or Full Professor A record of research that meets the criteria for a tenured faculty appointment at the rank of Associate Professor or Full Professor A record of service that meets the criteria for a tenured faculty appointment at the rank of Associate Professor or Full Professor A strong record of scholarly publications A record of research funding Experience in graduate student mentorship Applicants must demonstrate an ability to develop inclusive and equitable relationships within our diverse campus community Applicants must demonstrate an ability to support diversity, equity, access, inclusion, and belonging relative to their role Preferred Qualifications: A record of interdisciplinary research with scientists in fields such as chip design and nanotechnology Recognized as an international leader in their research area Working Environment: Faculty will be provided with personal office space and lab space to support research Teaching will be scheduled across the different campus teaching facilities Class schedules may include courses offered after 5 pm on weekdays Online courses may be scheduled at the discretion of the department chair This position will require occasional evening and weekend work to support events and community activities Travel within New York State and beyond may be necessary Additional Information: Professional Rank and Salary Range: Associate Professor / Full Professor, A4, Salary commensurate with experience The Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, or Clery Act, mandates that all Title IV institutions, without exception, prepare, publish and distribute an Annual Security Report. This report consists of two basic parts: disclosure of the University's crime statistics for the past three years; and disclosures regarding the University's current campus security policies. The University at Albany's Annual Security Report is available in portable document format PDF by clicking this link Pursuant to Executive Order 161, no State entity, as defined by the Executive Order, is permitted to ask, or mandate, in any form, that an applicant for employment provide his or her current compensation, or any prior compensation history, until such time as the applicant is extended a conditional offer of employment with compensation. If such information has been requested from you before such time, please contact the Governor's Office of Employee Relations at or via email at . THE UNIVERSITY AT ALBANY IS AN EO/AA/IRCA/ADA EMPLOYER Please apply online via Application Instructions: Applicants MUST submit the following documents: CV Cover letter stating all the required minimum qualifications and any of the applicable preferred qualifications. Contact information for three references Note: After submitting your CV, the subsequent pages give you instructions for uploading additional documents (i.e. cover letter etc.). See the FAQ for using our online system. Please contact us if you need assistance applying through this website. Returning Applicants - Login to your UAlbany Careers Account to check your completed application. A review of applications will start on October 31, 2025 and the search will remain open until the position is filled.

Information Systems Analyst 3 (7309U) - College of Engineering About Berkeley At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff. As a world-leading institution, Berkeley is known for its academic and research excellence, public mission, diverse student body, and commitment to equity and social justice. Since our founding in 1868, we have driven innovation, creating global intellectual, economic and social value. We are looking for applicants who reflect California's diversity and want to be part of an inclusive, equity-focused community that views education as a matter of social justice. Please consider whether your values align with our Guiding Values and Principles , Principles of Community , and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our full-time staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. Find out more about how you can grow your career at UC Berkeley. Departmental Overview UC Berkeley's College of Engineering, the second largest college at Berkeley, with 4,200 undergraduates, 2,500 graduate students, 400 staff and 250 faculty, is a community of visionaries, technology leaders, and industry pioneers. Berkeley Engineering is consistently ranked among the top three engineering programs - and the No. 1 public program - in the nation. Its individual disciplines also maintain top rankings. Among Berkeley Engineering's active and emeriti faculty members, 71 are members of the esteemed National Academy of Engineering. In addition, 25 faculty are recipients of the campus's Distinguished Teaching Award and more than 100 hold endowed chairs and distinguished professorships. The college's 73,000+ alumni comprise one of the most innovative, talented, and networked communities in the world. The Information Systems Analyst serves as the primary point of contact for IT user support and IT system management for College of Engineering Dean's Office personnel, and provides IT support to other groups within the College of Engineering as needed. The Information Systems Analyst manages day to day operations of the COE WordPress website hosting service, which runs on the WP Engine platform, including creating new websites, assisting users, and ensuring compliance with accessibility and security standards. The Information Systems Analyst provides AV support in College of Engineering spaces. Application Review Date The First Review Date for this job is: December 29, 2025 - Open Until Filled Responsibilities 30% End User IT Support Provide timely and thoughtful IT user support. Manage staff MacOS and Windows computers, including laptops used off site. Provide local assistance for campus services such as Zoom, Google Suite, Box, VPN, DocuSign, Wi-Fi, Ethernet, telecom, etc. Work with campus technology partners to resolve technical issues. Select and purchase computer hardware and software. 30% WordPress Web Hosting Service Management Manage day to day operations of the College of Engineering WP Engine WordPress web hosting service, including responding to email inquiries, spinning up new websites, and assisting users in resolving hosting and plugin issues. Manage bulk theme and plugin upgrades across multiple websites. Troubleshoot hosting platform issues in coordination with WP Engine support. Perform outreach to users and create user training to encourage user self-sufficiency and adherence to policies including accessibility. Work with College of Engineering Web Director to modify and improve web hosting services and processes as technologies and campus policies change. 20% IT Operations and System Management Implement technology that improves the effectiveness and efficiency of College of Engineering operations. Manage Active Directory users, computers, security groups, and Group Policy. Manage Google SPA (role) accounts, Google calendars, Google Drive Shared Drives, email lists, CalGroups (Grouper), and Box folders. Manage usage of campus IT services such as NetApp storage, virtual servers, and campus data network. Manage desktop printers and shared multifunction copiers. Manage security of IT systems and resolve campus network security notifications. Ensure compliance with campus IT policies. Write and maintain internal and user documentation. 20% AV Support Manage Zoom Rooms and associated hardware. Manage digital signage systems. Provide support for audiovisual equipment such as displays, projectors, cameras, and microphones. Provide AV support for special events including recording and streaming. Required Qualifications Knowledge of Windows and MacOS desktop, laptop, and server system management, Active Directory, Group Policy, Jamf, VMWare, Citrix. Experience with TCP/IP networking, network security, Wi-Fi, Ethernet. Experience in end user IT technical support for computers, mobile devices, printers, Google Suite, DocuSign, Zoom, Box, VPN, etc. WordPress website management experience including plugins, themes, and accessibility. Ability and motivation to write and maintain comprehensive technical documentation. Interpersonal and customer service skills for working with technical and non-technical personnel at all levels of the organization. Ability to work as part of a team, including collaboration, accountability, positive attitude, and flexibility. Problem-solving skills, motivation to learn, and persistence to work through challenges. Ability to communicate in a clear and concise manner. Preferred Qualifications Experience working with the WP Engine WordPress hosting service. Experience providing audiovisual support. Salary & Benefits For information on the comprehensive benefits package offered by the University, please visit the University of California's Compensation & Benefits website. Under California law, the University of California, Berkeley is required to provide a reasonable estimate of the compensation range for this role and should not offer a salary outside of the range posted in this job announcement. This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, analysis of internal equity, and other business and organizational needs. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary offers are determined based on final candidate qualifications and experience. The budgeted salary or hourly range that the University reasonably expects to pay for this position is $91,500 to $130,200 yearly ($7,625 to $10,850 monthly); the full salary range for this title is $91,500 to $168,900 yearly ($7,625 to $14,075 monthly). This is a 100% FTE career position eligible for full benefits. This position is FLSA Exempt and paid monthly. Other Information This position is 100% in person. Conviction History Background This is a designated position requiring fingerprinting and a background check due to the nature of the job responsibilities. Berkeley does hire people with conviction histories and reviews information received in the context of the job responsibilities. The University reserves the right to make employment contingent upon successful completion of the background check. Misconduct Disclosure As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct: UC Sexual Violence and Sexual Harassment Policy UC Anti-Discrimination Policy Abusive Conduct in the Workplace Equal Employment Opportunity The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status . click apply for full job details

Posting Number: PG194226EP Internal Recruitment : No Working Title: CLAWS Electronics Test Engineer Anticipated Hiring Range: Commensurate with Experience Work Schedule: M-F Job Location: Raleigh, NC Department : CLAWS About the Department: North Carolina State University is leading the charge as the recipient of a $39.4 million award from the Department of Defense to establish the regional Microelectronics Commons regional innovation hub, Commercial Leap Ahead for Wide Bandgap Semiconductors ( CLAWS ). This initiative, part of the larger $238 million investment through the Creating Helpful Incentives to Produce Semiconductors (CHIPS) and Science Act, aims to revolutionize the field of wide bandgap semiconductors. Hub leadership, Distinguished Professors John Muth and Fred Kish, are dedicated to the "lab to fab" journey-translating laboratory advancements into fabrication capabilities for wide bandgap semiconductors. The hub brings together a dynamic partnership with N.C. A&T State University and industry leaders, including Wolfspeed, Coherent Corp., General Electric, Bluglass, Adroit Materials, and Kyma Technologies, Inc. This collaborative effort will propel the development of semiconductors crucial for national defense, electric vehicles, power grid technologies, 5G/6G, quantum technologies, and artificial intelligence applications. Wolfpack Perks and Benefits: As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being. What we offer: Medical , Dental , and Vision Flexible Spending Account Retirement Programs Disability Plans Life Insurance Accident Plan Paid Time Off and Other Leave Programs 12 Holidays Each Year Tuition and Academic Assistance And so much more! Attain Work-life balance with our Childcare benefits, Wellness & Recreation Membership , and Wellness Programs that aim to build a thriving wolfpack community. Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered. Essential Job Duties: We are seeking a highly skilled Test Engineer to join our team and contribute to the development of next-generation GaN semiconductor devices. The ideal candidate will have expertise in Power or RF semiconductor device test, preferably with deep hands-on experience testing RF devices. Key Responsibilities Execute on-wafer and packaged device tests in state-of-the-art CLAWS test facility (50%) RF devices, including amplifiers, passives, and MMICs. Small signal (S-parameter), load-pull, pulsed I-V, DC characteristics, parametric test, thermal effects. Power devices, including transistors and diodes. DC and switching characteristics of high voltage and high current electronics. Go/No-Go electrical testing of process control monitors. Reconfigure test equipment to support varied test specifications. Implement new device/wafer characterization plans, methods for data reduction, and parameter extraction (30%) Support design for test (DFT) initiatives that facilitate high throughput testing. Develop and qualify new test capabilities. Collaborate with MES engineers to integrate test capabilities with centralized data infrastructure. Ensure the availability of test equipment and capabilities (20%) Leverage statistical methods to define test capabilities such as GR&R or MSA. Oversee equipment calibrations and apply known-good standards regularly to demonstrate conformance with specifications. Develop and document SOPs, training other users where necessary. Maintain or repair test equipment with support from OEMs. Replace consumables. Other Responsibilities: The successful candidate will: Comply with stated workplace policies. Communicate results, plans, and other updates to a variety of audiences. Adhere to and mentor others in known best practices. Support CLAWS activities such as tours, meetings, and conferences. Minimum Education and Experience: M.S. or B.S. in Electrical Engineering, or a related field with a focus on semiconductor devices. 3+ years experience in RF or Power semiconductor device test. Other Required Qualifications: The successful candidate must demonstrate: Experience testing power or RF semiconductor devices (on-wafer and packaged). Excellent communication and interpersonal skills. Ability to multitask and meet deadlines with moderate supervision. Ability to follow safe procedures for working with semiconductor test equipment, and machine guarding and interlocks. Comfort in collaborating with students, faculty, and staff of varying experience and backgrounds. Preferred Qualifications: The successful candidate would preferably have additional experience in: RF discrete device, MMIC, and passive components test. Parameter extraction and supporting EDA or PDK. Reliability test. MES and SPC systems. PCB design, build, and test. Standardized tests and methods (e.g., JEDEC, ASTM) Statistical methods (e.g., DOE, GR&R) and tools (e.g., JMP, Minitab) Programming or scripting languages (e.g., Python, JSL, SQL) Required License(s) or Certification(s): n/a Valid NC Driver's License required: No Commercial Driver's License required: No Job Open Date: 09/09/2025 Anticipated Close Date: Open Until Filled Special Instructions to Applicants: Applicants should upload a cover letter, CV/resume, and contact information for at least three professional references. Optional documents - you may upload any previous projects as Other Document (1). Position Number: Position Type: EPS/SAAO Full Time Equivalent (FTE) (1.0 = 40 hours/week): 1.0 Appointment: 12 Month Recurring Mandatory Designation - Adverse Weather: Non Mandatory - Adverse Weather Mandatory Designation - Emergency Events: Non Mandatory - Emergency Event Department ID: 140110 - CLAWS EEO: NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact to speak with a representative of the Office of Equal Opportunity. If you have general questions about the application process, you may contact Human Resources at or . Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit. NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.

Apply now Job no: 527829 Work type: Regular Full-time (Benefits eligible) Location: Tuscaloosa Categories: Tenure/Tenure-Track Faculty Department Computer Science Rank Professor Position Summary The Department of Computer Science (CS) and the Lee J. Styslinger Jr. College of Engineering at The University of Alabama invite applications for multiple tenure-track faculty positions at all ranks for candidates with research interests across all domains relevant to computer science. Candidates with research in Quantum Information Systems, High-Performance Computing, and Augmented/Virtual Reality are of particular interest. Detailed Position Information The Department of Computer Science (CS: ) and the Lee J. Styslinger Jr. College of Engineering (SCoE: ) at The University of Alabama (UA: ) invite applications for multiple tenure-track and tenured faculty positions at all ranks, including Assistant, Associate, and Full Professor levels, within the CS department. This posting is specific for candidates applying for a position at the rank of Full Professor. Applications from candidates with appropriate experience and a strong record of scholarly productivity and impact who would seek appointment at the rank of Assistant or Associate should apply through related postings advertised at those other position/rank levels. Candidates with prestigious achievements in their field and exceptional national and international reputations will be eligible for consideration for significant endowment support through appointment as an Endowed Shelby Distinguished Professor ( ). These Endowed Shelby Distinguished Professor are one of the most prestigious honors bestowed upon faculty at The University of Alabama. Candidates wishing to be considered for such an appointment should indicate this in their cover letter. Towards achieving excellence in all our efforts, the CS department and the Styslinger College of Engineering seek to hire faculty that can contribute to both: (1) build upon existing strengths in the Department, College, and University and (2) expand the scope of research within the department, College, and UA as a whole. Candidates with research interests across ALL domains relevant to computer sciences are encouraged to apply. Candidates with research in Quantum Information Systems, High-Performance Computing, and Augmented/Virtual Reality are of particular interest. There are numerous exciting developments around the department, the College, and the campus that provide outstanding support to the department's faculty. The University has demonstrated strong institutional support for quantum research, as highlighted by the recent appointments of distinguished professors in this and related areas as the inaugural Endowed Shelby Distinguished Professor. The University has an ongoing project to build the next-generation High Performance Computing (HPC) and Data Center on campus and will provide the infrastructure and instrumentation to support cutting-edge computational research for many years to come. The CS department and College consider teaching, research, and service as the three critical and complimentary portions of their overall mission. Candidates must demonstrate a clear potential to successfully develop, lead, mentor, and extramurally fund a highly productive research group with significant scholarly impact in a focus area with long-term potential to further build upon the rapid rise and great success of the CS department and the College. An ability to collaborate with existing faculty in the key focus areas both within the CS department and the College, as well as potential colleagues across the campus, is also highly desirable. The department, college and university are also notable for the collegial, welcoming and supportive spirit built into the fabric of who we are and how we interact across our college family of students, faculty, and staff. It is therefore expected that candidates demonstrate an ability to support this important aspect of our community. The CS department and College also pride themselves on the outstanding educational experience provided to their students, and thus faculty candidates must demonstrate an ability to develop and teach courses at both the undergraduate and graduate levels in the faculty member's area(s) of expertise, as well as to teach courses that support the delivery and accreditation of the CS department's core degree programs. At the undergraduate level, the department offers Bachelor of Science degrees in Computer Science and Cyber Security, with undergraduate student enrollments in the department consistently being maintained at approximately 1000 students. The department also offers minors in computer science and computing technology and applications. At the graduate level, the department offers the Master of Science degrees in Computer Science and Artificial Intelligence, and the Doctor of Philosophy in Computer Science. Graduate enrollments in the department are currently on the order of 100 students and growing quickly as the research programs in the department continue to grow rapidly. Appointments to the faculty of The University of Alabama are based on the personnel requirements of the University's academic programs and on the goal of achieving and maintaining excellence in its teaching, research, and service/academic citizenship activities. Minimum Qualifications Earned Ph.D. in Computer Science or a closely related discipline from an accredited institution. Exemplary record of prior research work and an exceptional record of impactful scholarly publications in refereed journals, conference proceedings, and similarly impactful venues. Demonstrated interest and record in computer science education and professional service in area(s) of specialization. Effective verbal and written communication skills. Evidence of construction and sustainment of a quality research program. Exhibit excellent teaching at both the graduate and undergraduate levels. Applicants must also meet all university criteria for appointment to the rank of Full Professor. Preferred Qualifications 10+ years of experience as a tenured faculty member at a leading peer R1 institution. Demonstrated record of high-quality research and scholarly publications that is recognized nationally and internationally. Significant record of scholarship in a computer science or closely related department with both undergraduate and graduate degree programs. Evidence of success in securing competitive external research funding. Exceptional collegial, interpersonal, and mentoring skills. Instructions and Required Materials for Application Required application documents include a: (1) cover letter that includes the department name, the rank of position for which the candidate is applying (i.e. Assistant Professor/Associate Professor/Professor), and a brief description of the area(s) of specialization for the candidate; (2) a resume/curriculum vitae; (3) a three to five page statement of research interests and plans; (4) a one to two page statement of three teaching interests and plans; and (5) the names and contact information for at least four professional references. Review of applications will begin immediately. Applications are preferred on or before November 21, 2025 to receive fullest consideration, but the search will continue until the positions are filled. A position start date of August 16, 2026 would be typical, but flexibility with respect to start date is possible. The University of Alabama is an Equal Employment/Equal Educational Opportunity Institution. Questions about the position can be directed to . About the Lee J. Styslinger Jr. College of Engineering As the premier flagship university for the state of Alabama and as one of the first five universities in the nation to offer engineering instruction, The University of Alabama (UA) has more than 175 years of proud engineering history. The Styslinger College of Engineering is committed to conducting cutting-edge research that advances the frontiers of science and engineering, translating such fundamental advancements and knowledge through applied research and technology commercialization into impactful solutions which improve the human condition and address the challenges facing humankind, and using that immersive research environment to provide unparalleled educational experiences and opportunities for our students at both the undergraduate and graduate levels. As a College, we pride ourselves on educating and preparing the next generation of engineering and computer science scholars and professionals who will positively shape the future around us. Through our educational, research, and service activities that support our overall vision to be one of the most impactful engineering programs in the nation, our College continues to provide leadership in the many professional disciplines represented by our College and to the community, state, and nation as we advance our professions, the economy, and the lives of all those whom we serve. The Styslinger College of Engineering is comprised of seven departments: Aerospace Engineering and Mechanics, Chemical and Biological Engineering, Civil, Construction, and Environmental Engineering, Computer Science, Electrical and Computer Engineering, Mechanical Engineering, and Metallurgical and Materials Engineering . click apply for full job details

Apply now Job no: 527828 Work type: Regular Full-time (Benefits eligible) Location: Tuscaloosa Categories: Tenure/Tenure-Track Faculty Department Computer Science Rank Associate Professor Position Summary The Department of Computer Science (CS) and the Lee J. Styslinger Jr. College of Engineering at The University of Alabama invite applications for multiple tenure-track faculty positions at all ranks for candidates with research interests across all domains relevant to computer science. Candidates with research in Quantum Information Systems, High-Performance Computing, and Augmented/Virtual Reality are of particular interest. Detailed Position Information The Department of Computer Science (CS: ) and the Lee J. Styslinger Jr. College of Engineering (SCoE: ) at The University of Alabama (UA: ) invite applications for multiple tenure-track and tenured faculty positions at all ranks, including Assistant, Associate, and Full Professor levels, within the CS department. This posting is specific for candidates applying for a position at the rank of Associate Professor. Applications from candidates with appropriate experience and a strong record of scholarly productivity and impact who would seek appointment at the rank of Assistant or Full Professor should apply through related postings advertised at those other position/rank levels. Candidates with prestigious achievements in their field and exceptional national and international reputations will be eligible for consideration for significant endowment support through appointment as an Endowed Shelby Distinguished Professor ( ). These Endowed Shelby Distinguished Professor are one of the most prestigious honors bestowed upon faculty at The University of Alabama. Candidates wishing to be considered for such an appointment should indicate this in their cover letter. Towards achieving excellence in all our efforts, the CS department and the Styslinger College of Engineering seek to hire faculty that can contribute to both: (1) build upon existing strengths in the Department, College, and University and (2) expand the scope of research within the department, College, and UA as a whole. Candidates with research interests across ALL domains relevant to computer sciences are encouraged to apply. Candidates with research in Quantum Information Systems, High-Performance Computing, and Augmented/Virtual Reality are of particular interest. There are numerous exciting developments around the department, the College, and the campus that provide outstanding support to the department's faculty. The University has demonstrated strong institutional support for quantum research, as highlighted by the recent appointments of distinguished professors in this and related areas as the inaugural Endowed Shelby Distinguished Professor. The University has an ongoing project to build the next-generation High Performance Computing (HPC) and Data Center on campus and will provide the infrastructure and instrumentation to support cutting-edge computational research for many years to come. The CS department and College consider teaching, research, and service as the three critical and complimentary portions of their overall mission. Candidates must demonstrate a clear potential to successfully develop, lead, mentor, and extramurally fund a highly productive research group with significant scholarly impact in a focus area with long-term potential to further build upon the rapid rise and great success of the CS department and the College. An ability to collaborate with existing faculty in the key focus areas both within the CS department and the College, as well as potential colleagues across the campus, is also highly desirable. The department, college and university are also notable for the collegial, welcoming and supportive spirit built into the fabric of who we are and how we interact across our college family of students, faculty, and staff. It is therefore expected that candidates demonstrate an ability to support this important aspect of our community. The CS department and College also pride themselves on the outstanding educational experience provided to their students, and thus faculty candidates must demonstrate an ability to develop and teach courses at both the undergraduate and graduate levels in the faculty member's area(s) of expertise, as well as to teach courses that support the delivery and accreditation of the CS department's core degree programs. At the undergraduate level, the department offers Bachelor of Science degrees in Computer Science and Cyber Security, with undergraduate student enrollments in the department consistently being maintained at approximately 1000 students. The department also offers minors in computer science and computing technology and applications. At the graduate level, the department offers the Master of Science degrees in Computer Science and Artificial Intelligence, and the Doctor of Philosophy in Computer Science. Graduate enrollments in the department are currently on the order of 100 students and growing quickly as the research programs in the department continue to grow rapidly. Appointments to the faculty of The University of Alabama are based on the personnel requirements of the University's academic programs and on the goal of achieving and maintaining excellence in its teaching, research, and service/academic citizenship activities. Minimum Qualifications Earned Ph.D. in Computer Science or a closely related discipline from an accredited institution. Exemplary record of prior research work and an exceptional record of impactful scholarly publications in refereed journals, conference proceedings, and similarly impactful venues. Demonstrated interest and record in computer science education and professional service in area(s) of specialization. Effective verbal and written communication skills. Evidence of construction and sustainment of a quality research program. Exhibit excellent teaching at both the graduate and undergraduate levels. Applicants must also meet all university criteria for appointment to the rank of Associate Professor. Preferred Qualifications 5+ years of experience as a tenured faculty member at a leading peer R1 institution. Demonstrated record of high-quality research and scholarly publications that is recognized nationally and internationally. Significant record of scholarship in a computer science or closely related department with both undergraduate and graduate degree programs. Evidence of success in securing competitive external research funding. Exceptional collegial, interpersonal, and mentoring skills. Instructions and Required Materials for Application Required application documents include a: (1) cover letter that includes the department name, the rank of position for which the candidate is applying (i.e. Assistant Professor/Associate Professor/Professor), and a brief description of the area(s) of specialization for the candidate; (2) a resume/curriculum vitae; (3) a three to five page statement of research interests and plans; (4) a one to two page statement of three teaching interests and plans; and (5) the names and contact information for at least four professional references. Review of applications will begin immediately. Applications are preferred on or before November 21, 2025 to receive fullest consideration, but the search will continue until the positions are filled. A position start date of August 16, 2026 would be typical, but flexibility with respect to start date is possible. The University of Alabama is an Equal Employment/Equal Educational Opportunity Institution. Questions about the position can be directed to . About the Lee J. Styslinger Jr. College of Engineering As the premier flagship university for the state of Alabama and as one of the first five universities in the nation to offer engineering instruction, The University of Alabama (UA) has more than 175 years of proud engineering history. UA's Styslinger College of Engineering is committed to conducting cutting-edge research that advances the frontiers of science and engineering, translating such fundamental advancements and knowledge through applied research and technology commercialization into impactful solutions which improve the human condition and address the challenges facing humankind, and using that immersive research environment to provide unparalleled educational experiences and opportunities for our students at both the undergraduate and graduate levels. As a College, we pride ourselves on educating and preparing the next generation of engineering and computer science scholars and professionals who will positively shape the future around us. Through our educational, research, and service activities that support our overall vision to be one of the most impactful engineering programs in the nation, our College continues to provide leadership in the many professional disciplines represented by our College and to the community, state, and nation as we advance our professions, the economy, and the lives of all those whom we serve. The Styslinger College of Engineering is comprised of seven departments: Aerospace Engineering and Mechanics, Chemical and Biological Engineering, Civil, Construction, and Environmental Engineering, Computer Science, Electrical and Computer Engineering, Mechanical Engineering, and Metallurgical and Materials Engineering . click apply for full job details