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Akkodis is seeking a hybrid Firmware Engineer with experience in power converter controls or power electronics to work a 6 month plus temporary role in the Schenectady, NY area. The Firmware Engineer will develop, maintain, and test embedded control firmware for power electronic converters (e.g., inverters, rectifiers, DC/DC converters). Qualified candidates will have 5+ years of embedded firmware development experience, including at least 3 years with power converters or motor drives. Salary Range: $80-100 per hour; salary negotiable based on experience, education, geographic location, and other factors This is a great opportunity to work with an industry leader! Firmware Engineer job responsibilities include: • Implementing control algorithms, digital signal processing, and hardware interface code on embedded controllers to meet performance, safety, and reliability requirements., • Design, implement, and optimize embedded C/C++ firmware for power converter controls (e.g., current/voltage loops, PWM generation, protection logic)., • Implement and tune control algorithms (e.g., PID, field-oriented control, grid-tied control, active front-end control) in fixed- or floating-point on MCUs/DSPs., • Hardware Interface- develop low-level drivers for peripherals (ADC, PWM, timers, GPIO, communication interfaces such as CAN, SPI, I2C, UART, Ethernet)., • Systems integration-Integrate firmware with power hardware, sensors, gate drivers, and communication networks in collaboration with hardware and systems engineers., • Plan and execute unit tests, bench tests, and hardware-in-the-loop (HIL) tests; use oscilloscopes, logic analyzers, and debuggers to troubleshoot issues., • Create and maintain firmware design documents, interface specifications, test procedures, and release notes., • Follow coding standards, code review practices, and relevant safety/quality processes (e.g., MISRA, ISO, DO-178C or similar where applicable)., • Propose and implement improvements in performance, stability, and robustness of control firmware and development workflows. QUALIFICATIONS: • 5+ years of embedded firmware development experience, including at least 3 years with power converters or motor drives., • Bachelor degree in Electrical or Computer Engineering, OR equivalent experience., • Strong proficiency in C/C++, Mathworks Simulink; experience with embedded IDEs, debuggers, version control (e.g., Git)., • Hands-on experience with microcontrollers or DSPs commonly used in power electronics (e.g., TI C2000, STM32, NXP, Microchip, etc.)., • Experience with MATLAB/Simulink, PLECS, or similar tools for control design and plant modeling., • Experience with HIL (e.g., Speedgoat, dSPACE, OPAL-RT, Typhoon) and automated test setups. If you are interested in this hybrid Firmware Engineer role near Schenectady, NY, please click APPLY NOW. For other opportunities available at Akkodis go to ___. If you have questions about the position, please contact Kathy Becher at Equal Opportunity Employer/Veterans/Disabled Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs which are direct hire to a client To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit ___ The Company will consider qualified applicants with arrest and conviction records.

Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration. Our company promotes a positive culture while ensuring the safety and reliability of our nation's naval nuclear reactors, and training the Sailors who operate those reactors in the U.S. Navy's submarines and aircraft carrier Fleets. Looking for a lifetime career? Apply today! Ready to influence the future of naval nuclear propulsion? Join a team where your ideas and engineering skills will shape first-of-a-kind reactor servicing systems that keep the U.S. Navy mission-ready. If you're looking for challenging projects, cutting-edge technology, and work that truly matters, this is the role for you. The Spent Fuel Systems department in the Reactor Servicing organization plays a critical role in supporting the Naval Nuclear Propulsion Program by delivering innovative solutions for reactor servicing operations at the Naval Reactors Facility in Idaho. The successful candidate will join a Pittsburgh, PA or Niskayuna, NY based team responsible for the design, analysis, safety, and integration of specialized servicing equipment and associated software systems. This includes developing first-of-a-kind engineering solutions to enable safe and efficient reactor servicing activities across multiple facilities. Key responsibilities may include, but are not limited to: • Designing and analyzing reactor servicing equipment to meet stringent technical and operational requirements., • Developing and validating software tools that support equipment operation and servicing procedures., • Performing safety analyses to ensure compliance with nuclear safety standards during servicing operations., • Collaborating with multidisciplinary teams to ensure seamless integration of hardware and software systems., • Supporting the development of reactor servicing procedures and providing technical consultation during implementation., • Applying engineering principles to solve complex problems in an innovative way while in a highly regulated environment., • The position offers the opportunity to work on unique, mission-critical projects that directly impact the safety and reliability of naval nuclear propulsion systems. Technical mentors, advisors, and lead engineers are assigned to support new engineers through on-the-job training. • Bachelors degree from an accredited college or university in a related technical, engineering or science field and a minimum of 4 years of relevant experience; or, • Masters degree from an accredited college or university in a related technical, engineering or science field and a minimum of 2 years of relevant experience; or, • Doctorate degree from an accredited college or university in a related technical, engineering, science field; or, • Currently an Advanced Reactor Training Engineer, Refueling Engineer, or Field (RPCO) Engineer at the Company., • Degrees in Mechanical, Nuclear, Chemical, Aerospace, Industrial, or Environmental Engineering are preferred, but not required., • Solid foundation in engineering design and analysis., • Strong problem-solving skills., • Detail-oriented., • Quick learner with continuous improvement mindset., • Interest in nuclear systems and service operations., • Skilled technical writer., • Experienced in engineering documentation and configuration management., • Collaborative team player in cross-functional environments., • Clear and effective communicator of technical concepts., • Proven leadership and project management abilities., • Strong time management and task prioritization skills., • Experience with engineering safety or industrial engineering., • Ability to collaborate virtually across sites and time zones., • Experience with software development and modeling tools (e.g., MATLAB, Python, CAD), • Health, Dental, Vision & Voluntary Benefits, • Disability, Life & Accident Insurance, • 401(k) Savings program & Capital Accumulation Plan, • Personal & Medical Time Off, • Paid Parental Leave, • Flexible Work Schedules, • Tuition Assistance for Eligible Employees, • Student Debt Benefit Personal Time Off Sell Program, • Employee Assistance Program (EAP), • Wellness Program All candidates must be U.S. citizens. Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter. FMP is a government contractor and maintains a drug free workplace and workforce. All candidates must be able to pass a drug test in compliance with FMP company policy and 10 CFR 707. Marijuana is a Federal Schedule I controlled substance and illegal under Federal Law. Therefore, FMP is required to test for marijuana. Fluor Marine Propulsion, LLC is an Equal Opportunity Employer, including disability/vets. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by federal, state, or local law. ___ Back to results

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 4901-4920; 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 1-800-304-9102 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).

Lead AI Engineer (FM Hosting, LLM Inference) 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: 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 4 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 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services 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 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: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead 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 4901-4920; 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 1-800-304-9102 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).

Lead AI Engineer (GenAI Platform Services) 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: 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 4 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 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services 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 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: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead 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 4901-4920; 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 1-800-304-9102 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).

Lead 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: 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 4 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 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services 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 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: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead 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 4901-4920; 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 1-800-304-9102 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 Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) 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: 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 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders 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: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead 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 4901-4920; 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 1-800-304-9102 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).

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) 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: 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 4 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 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services 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 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: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead 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 4901-4920; 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 1-800-304-9102 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. Lead 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: 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 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders 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. Sales Territory: $209,000 - $238,500 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead 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 4901-4920; 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 1-800-304-9102 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 AI Engineer (Gen AI Platform Services, Agentic Systems) 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: 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 3 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 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services 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 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: $161,800 - $184,600 for Senior AI Engineer McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Francisco, CA: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior 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 4901-4920; 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 1-800-304-9102 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).

Min - 1year Retail Sales/Service Experience - Hardware knowledge is plus. Retail Sales Associate - Experienced. Cooperate with others and work well as part of a retail team.

Senior Lead AI Engineer (FM Hosting) 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: 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 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders 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: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead 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 4901-4920; 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 1-800-304-9102 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. Lead AI Engineer (MLX) 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: 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 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders 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: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead 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 4901-4920; 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 1-800-304-9102 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. Lead AI Engineer (AI Foundations) 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: 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 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders 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: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead 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 4901-4920; 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 1-800-304-9102 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).

We’re looking for a Amazon IT Support Technician to diagnose and resolve hardware, software, and network issues for employees.Ensure all safety and quality standards are met.Stay adaptable to meet changing priorities and business needs.Perks include competitive pay, flexible scheduling, training o

Pay attention to customers’ descriptions of their computer problems Ask customers questions to properly diagnose the problem Walk customers through the recommended problem-solving steps Set up or repair computer equipment and related devices Train users to work with new computer hardware or softwa

Job Description Job Title: Help Desk Technician Company: Quotient Location: Niskayuna NY Travel: 10% or less Position Type: Full-Time, Part-Time, Employee Type: FTE Compensation Range: 50k-60k Company Overview: Quotient is a leading provider of customized information technology solutions, specializing in systems integration, full-stack software development, cybersecurity, project management, and operational support. We serve a diverse range of clients, including federal agencies, defense, civilian communities, and commercial customers across the United States. As a subsidiary of Virtual Technologies Group (VTG), Quotient continues to uphold its reputation as one of the most innovative, respected, and ethical providers of technology solutions. We are dedicated to providing growth and opportunity for our team while delivering exceptional value to our clients. Position Summary: The Help Desk Technician delivers frontline technology support across the district’s eight schools, ensuring staff and students can rely on the tools they use every day. This role troubleshoots a wide range of devices from large Chromebook deployments to Mac and Windows systems while managing incoming requests through the district’s ticketing platform to keep classrooms running smoothly. The technician also supports key instructional applications, including account and access management for core digital learning tools, and helps maintain classroom equipment such as interactive displays and other instructional hardware. Through responsive service and strong technical problem‑solving, this position plays a vital part in sustaining an effective, technology‑rich learning environment. Role Overview: These frontline roles provide technical support to staff and students across the district's eight schools. Multi-Platform Support: Provides comprehensive troubleshooting for a diverse fleet, including 6,000+ Chromebooks, 775+ Mac devices, and Windows laptops/desktops. Ticket Resolution: Manages and resolves end-user tickets through the district's help desk system to ensure minimal instructional downtime. Core Application Admin: Administers essential educational software, including Google Workspace (Google Admin) and student web-filtering tools. Classroom Tech: Ensures the performance of classroom hardware, such as 300 interactive whiteboards and 50 TV displays. Powered by JazzHR rB6d3xLNJ9

Job DescriptionAs a Technical Support Specialist at Kitware, you will play a vital role on the Systems Administration team, working closely with teammates in maintaining critical infrastructure used by Kitware's research and development engineers and support staff across a diverse range of projects.In This Position You Will: • Provide support for end-user hardware and software including Windows, Linux, and macOS, • Install, configure, and update software in accordance with policies and security requirements, • Manage user accounts including account creation, modification, and deactivation, • Support regulated and customer-sponsored computing environments, including environments subject to security clearance, as needed, • Handle support requests submitted via the helpdesk system, • Maintain hardware inventory, including ordering of equipment, • Act as liaison to outside vendors such as Dell and Apple, and coordinate/assist with service calls, • Advise on future hardware and software needs, • Other related support duties as necessaryRequired Qualifications:, • Due to contractual requirements, U.S. citizenship is required, along with the willingness and ability to obtain, use, and maintain a TS/SCI security clearance with the ability to obtain a CI polygraph, • Bachelor's or associate's degree in an IT-related field, with 2 to 3 years of relevant experience, or equivalent amount of education and experience, • Security+ or willingness to successfully obtain required certifications, • Experience with MS Windows and Linux, • Experience with wired and wireless networks, • Strong analytical and problem-solving skills, • Strong written and oral communication skills

Job Description Damage Assessor – Job Description American Resources, LLC Position Type: 1099 Independent Contractor Industry: Utility / Storm Response / Emergency Field Services Travel: Required during storm events Schedule: On-call / As needed (not full-time) Position Overview A Damage Assessor is responsible for assessing, documenting, and reporting damage to electrical utility infrastructure following storms, natural disasters, or emergency events. Damage Assessors work in the field—often under challenging conditions—to quickly and accurately identify hazards, collect data, and support utility crews in restoring power safely and efficiently. This role is vital to storm response operations and requires strong observation skills, reliability, and a commitment to safety. Key Responsibilities • Survey and assess damage to electric utility equipment, including:, • Downed wires, • Broken poles, • Damaged transformers, • Crossarms, insulators, and hardware, • Trees or debris impacting lines, • Document all findings using:, • Utility-provided forms, • Mobile apps or tablets, • Photographs and GPS coordinates, • Report hazards promptly and accurately to utility dispatch or designated supervisor., • Identify and categorize damage using utility standards and guidelines., • Provide detailed and clear information to assist repair crews in efficient restoration., • Work safely around energized lines and hazardous storm conditions (without performing electrical work)., • Communicate effectively with dispatch, line crews, first responders, and the public., • Travel to assigned locations during storm events, sometimes with short notice., • Follow all company and utility safety requirements at all times. Safety Responsibilities • Maintain situational awareness around downed wires, traffic, and storm debris., • Wear required PPE, including high-visibility apparel, boots, gloves, and hard hat., • Never touch or handle electrical equipment., • Establish safe distances from hazards while assessing damage. Qualifications • Valid driver’s license, • Ability to travel to storm sites, • Ability to work long hours in unpredictable weather, • Strong communication and note-taking skills, • Ability to follow instructions and utility guidelines carefully, • Experience in utility, construction, forestry, or field inspection roles, • Previous storm response experience, • Basic knowledge of electrical distribution systems (not required but helpful) Compensation • Paid hourly or per-diem structure depending on deployment, • Storm events may include:, • Premium rates, • Guaranteed daily minimums

Job DescriptionDescription: Mayhew Technology Solutions is looking for Cleared Technology System Administrators to support a new team under our government customer in West Mifflin, PA. This individual must have an active DOE Q clearance or an active DOD Top Secret clearance at a minimum. This individual will be a full-time employee whose primary responsibility will be providing system administrative coverage for equipment and software under the guidance of the Computer Technology System Support Team (CTSS). Requirements: Hardware Maintenance: · Hardware problem diagnosis · Replacement parts and materials are provided by Technology Engineers and/or Hardware Suppliers · Replacement of hardware components under the direction of the CTSS team and the equipment's supplier (as required) Software Maintenance: · Aid engineers in software problem diagnosis. · Aid engineers in operating system problem diagnosis. · Implement solutions under the guidance of the CTSS team, engineer, and equipment supplier as required. · Provide Anti-Virus Patching Services - based on a maintenance schedule. · Provide Operating System Debug and Patching Services -with concurrence and direction from CTSS, System LOB Owner, and Equipment Supplier. Procurement, Auditing, and Documentation: · Aid engineers in purchasing new equipment using the buyer's internal required process. · Work with the CTSS team to purchase the required equipment via the buyer's internal business system or by purchasing a credit card. · Aid engineers in the completion and documentation related to the assessment process. · Aid engineers in completing any required audits for the LOB Systems. · Aid engineers in the implementation of the Continuous Monitoring (CM) process that will be implemented during the next phase of the RMF process. Miscellaneous Computer System Support · Aid engineers with general system-related issues · Aid engineers with system design questions for upgrades/ new purchases · Consult with CTSS and Engineers on new technology implementations · Other duties as assigned by the customer. Required Experience · Experience level must meet or exceed the following: Bachelor's degree in a related field from an accredited college or university and a minimum of 2 years relevant experience. · Ability to creatively solve challenging technology problems · Must be able to manage multiple tasks simultaneously, prioritize workload effectively, and thrive in a dynamic and complex environment. · Strong communicator who can work without direct supervision or detailed direction. · Active DOE Q Clearance or DOD Top Secret Clearance required. Can hold up to TS/SCI.

Job Description Whether it’s unlocking the potential of digital content, powering breakthrough innovations, creating entertainment that enriches lives, or keeping nations secure, Quantum works with customers and partners to make the world a happier, safer and smarter place. Job Summary: As part of our North Americas sales team, the west-coast Regional Sales Manager - Enterprise Solutions Group (RSM ESG) will be responsible for identifying and closing business opportunities for assigned territory and accounts in their assigned Region, and fully executing against revenue targets. Our most successful sales people are able to position Quantum’s differentiators using a solutions-based approach that leverages our hardware, software and services products to solve customer business problems and needs. In addition to quickly establishing strong customer relationships and understanding our customer’s business, we expect the RSM will also build effective relationships internally with engineering, service, marketing, operations, etc. so our customer’s expectations are routinely exceeded. Job Duties: • Actively pursue net-new business opportunities with aggressive prospecting into existing accounts and new business prospects; working closely with the Pre-Sales Engineers, Sales Management and Inside Sales Representative to ensure geography based objectives are being met., • Build strong relationships with existing and new Quantum Channel Partners and Technology Partners to help identify and close business., • The ability to speak with customers and partners at both a business-level and technical-level., • Understanding of AI/ML fundamentals and use cases for on-prem storage, from high performance NVMe flash to long-term archive., • With your extended team, prepare and present customer business reviews, workshops and other customer satisfaction sessions with your strategic customers., • Working knowledge of Block, File and Object Storage, as well as Data Archive., • Utilize consultative, solution based selling techniques to identify opportunities for Quantum’s portfolio including Enterprise NAS, object storage, backup appliances, LTO archives, as well as archive management software., • Deal management skills and attention to detail, in order to accurately forecast deals through SalesForce.com and participate in weekly funnel calls with management., • Manage all RFI, RFQ, and RFP processes., • Represent both the voice of the customer to Quantum and the voice of Quantum to the customer as required to resolve issues and attain revenue goals., • Act as a customer advocate to assist with escalating customer concerns and supply chain/technical issues until resolved., • Consistent track record of exceeding quota and managing long-term business with large enterprise customers, • A minimum of 8 years of enterprise sales experience directly with end users, in the data storage, software or technology industry, is required., • A minimum of 5 years’ experience working in the data storage industry focused on selling storage solutions for high performance primary storage and nearline/archive use cases., • Consultative or solutions selling experience is a must., • Exceptional organization skills and time management techniques, with consistent attention to detail and follow-up., • Must have a dedicated home office space to conduct video-based meetings and expect to be on road/travel 25-50% every week., • Ability to motivate and inspire others., • Exemplary interpersonal and verbal communication skills, as well as presentation skills., • Individual must exhibit a positive, "can-do" attitude with excellent customer serviced skills., • Strong problem solving abilities., • A high degree of honesty, integrity and sound judgment. Anticipated Total Compensation Range: $160,000 to $300,000 for qualified applicants. The above pay range represents Quantum's good faith and reasonable estimate of possible compensation at the time of posting. Pay within the range will be based on a variety of factors, including but not limited to, relevant experience, knowledge/education, skills/abilities, internal equity, and budgetary considerations. #LI-REMOTE

Job DescriptionAs a Systems Administrator at Kitware, you will play a vital role on the Systems Administration team, working closely with teammates in supporting critical infrastructure used by Kitware's research and development engineers and support staff across a diverse range of projects.In This Position You Will: • Support end-user hardware and software (Windows, Linux, macOS), • Participate in the support of Linux (Ubuntu) and Windows server infrastructure, • Support regulated and customer-sponsored computing environments, including environments subject to security clearance, as needed, • Assist in administering device management systems (Active Directory, JAMF, Puppet), • Provide support for virtual infrastructure (VMware), cloud-computing services (AWS), and various cloud service providers, • Maintain backup infrastructure (Veeam), • Configure networking, including firewalls, wireless networks, VPN tunnels, and VLANs, • Make recommendations on new system purchases (end-user and infrastructure), • Maintain documentation in support of new technologies and applicationsRequired Qualifications:, • Due to contractual requirements, U.S. citizenship is required, along with the willingness and ability to obtain, use, and maintain a TS/SCI security clearance with the ability to obtain a CI polygraph, • Bachelor's or associate's degree in an IT-related field, with 2 to 5 years of relevant experience, or equivalent amount of education and experience, • Strong written and verbal communication skills, • Security+ or willingness to successfully obtain required certificationsPreferred Qualifications:, • Experience with Linux system administration and Active Directory management, • Experience working alongside software development teams

Job Description About NECI NECI is the leading Automation solutions provider transforming manufacturing, lab operations, process development and process control across a range of process industries in Northeast. NECI relentlessly seeks to drive the outcomes that ‘change the game’ for our clients and is seeking team members to join in our mission. Here’s What You’ll Get • Highly competitive Medical, Dental, and Vision Insurance, • Flexible Spending or Health Savings Accounts, • Unlimited Vacation Time, • 10 Paid Holidays, • 12 Paid Weeks Maternity Leave, • Pet Insurance, • Retirement Savings: 401(k) and Employee Stock Ownership Plan, • Employee Referral Bonus, • Professional Development Reimbursement The Field Service Reliability Engineer is a key member of NECI’s Reliability Solutions team, responsible for delivering Reliability Engineering Services to industrial clients throughout the region. In this role, you will apply your technical expertise in vibration analysis, condition monitoring, and reliability engineering to help customers improve equipment performance and reduce unplanned downtime. You will be trained and certified in Emerson Reliability Solutions hardware and software, working both independently and collaboratively to solve complex technical challenges and maintain strong client relationships. Key Responsibilities • Serve as a technical resource for NECI’s predictive maintenance, reliability, and wireless technologies — including online vibration monitoring systems, wireless instrumentation, and other solutions as assigned., • Perform route-based vibration data collection using the Emerson AMS 2140 Machinery Health Analyzer., • Conduct data analysis using Emerson AMS Machinery Health Management software to identify mechanical faults, assess severity, and recommend corrective actions., • Monitor, collect, and evaluate rotating equipment health data to assess machinery condition and ensure optimal reliability., • Perform dynamic field balancing and shaft laser alignments using Emerson AMS 2140 instrumentation., • Develop and deliver detailed asset health reports with maintenance recommendations to improve equipment reliability and performance., • Communicate technical findings effectively through clear, detailed customer reports and presentations., • Troubleshoot complex machinery issues to improve customer uptime and reliability., • Support and participate in root cause failure analyses (RCFA) for mechanical issues., • Build, configure, and optimize machinery databases within the Emerson AMS Machinery Manager platform., • Contribute to business development efforts to help grow NECI’s Reliability Services business., • Conduct Infrared Thermography Inspections on mechanical and electrical systems to identify thermal anomalies and potential failures., • Perform Ultrasonic Inspection Surveys to detect steam trap failures, compressed air, and gas leaks., • Carry out Motion Amplification Inspections using RDI Technologies systems to visually diagnose machinery vibration issues., • Execute Mechanical Repair Services, including maintenance, troubleshooting, and repair of rotating equipment such as pumps, motors, gearboxes, fans, etc....., • Bearing and motor replacements, • Belt and coupling replacements, • Sheave-to-sheave laser alignments, • Rigging and installation support for rotating equipment, • Perform root cause analysis of mechanical failures and recommend corrective actions or design improvements., • Assist with installation, startup, and commissioning of mechanical systems and rotating assets., • Bachelor’s degree in Facilities, Mechanical, or related Engineering discipline (or equivalent technical experience)., • 2+ years of experience in machinery health, reliability engineering, or a related field preferred with a strong desire to grow within the reliability engineering field., • Certification or training in vibration analysis (Category I–II) is highly desirable., • Familiarity with Emerson Reliability Solutions products and software (e.g., AMS Suite, CSI analyzers) a plus., • Strong analytical, problem-solving, and communication skills (English speaking required)., • Ability to work independently, manage multiple service commitments, and deliver results under minimal supervision., • Valid U.S. driver’s license., • Must be a U.S. citizen (no work visa or sponsorship available)., • Must successfully pass a pre-employment drug screening and background check., • Certification in Vibration Analysis, Infrared Thermography Inspections, Ultrasonic Inspections or Motion Amplification., • Intellectual curiosity and demonstrate proficiency in problem solving., • Proven experience with mechanical and electrical troubleshooting., • Working knowledge of mechanical and electrical maintenance tasks., • Prior experience in industrial environments such as Life Sciences, Power Generation, Natural Gas, Pulp & Paper, Food & Beverage, or Commercial HVAC., • Strong computer and software proficiency., • A positive attitude and a team-first mindset. Must be currently authorized to work in the United States. Policy on Third-Party Unsolicited Resume Submissions: Please note that any third-party unsolicited resume submissions will immediately become the property of NECI. NECI will not pay any fee to a submitting employment agency, person, or entity unless a signed agreement is established. Please Note: NECI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by law.

Job Description Electro-Mechanical Assembler Met Weld International, a Gavial Holdings company, provide services, solutions and technology to the industrial, power generation, commercial nuclear and green economy customers. Met Weld International and its employees are dedicated to delivering the highest level of quality and service to its customers. The MWI team draws upon decades of experience and knowledge to build high-quality, high-reliability parts and systems for some of the most demanding industries. We apply our Quality Assurance Program to strong processes, industry knowledge, and dedicated people to deliver quality product on time and are committed to our core attributed: Quality, Craftsmanship, Knowledge, and Knowhow. We are located in Altamont, NY, and are looking to hire a full-time Electro-Mechanical Assembler to join our team. The ideal candidate will be an organized and detail-oriented individual who values customer service and has experience in a manufacturing environment. We are located in Altamont, NY, and are looking to hire a full-time Electro-Mechanical Assembler to join our team. This position could work on the regular day shift from 7:00 a.m. - 3:30 p.m. or on the 2nd shift which would include a 10% shift differential. Assembler Job Summary: Met Weld is looking to fill an Electrical and Mechanical Assembler position that requires Soldering and Assembly experience with a willingness to learn. Candidate must be willing to learn, have an electro-mechanical aptitude, ask questions, and adapt to completing different projects in a timely manner. Required to have the ability to understand engineering drawings, schematics, wiring diagrams and work instructions. Assembler Essential Duties and Responsibilities: • Assembler must read and understand production drawings, assembly instructions, work orders, and sample assemblies. Must also be able to receive verbal instructions regarding duty assignments., • Assembler crimps, stakes, screws, bolts, rivets, welds, solders, cements, press fits, or performs similar operations to join or secure parts in place., • Mounts assembled components, such as transformers, resistors, transistors, capacitors, integrated circuits, and sockets, on chassis panel or printed wiring boards., • Positions and aligns parts in specified relationship to each other in jig, fixture, or other holding device., • Connects component lead wires to printed circuit or routes and connects wires between individual component leads and other components, connectors, terminals, and contact points., • Manufactures cables and wiring harnesses using copper wire, co-axial cable, twin-axial cable, and fiber-optic cable., • Installs finished assemblies or subassemblies in cases and cabinets., • Assembles and attaches hardware, such as caps, clamps, knobs, and switches, to assemblies., • Performs intermediate assembly tasks, such as potting, encapsulating, sanding, cleaning, epoxy bonding, curing, stamping, etching, impregnating, and color-coding parts and assemblies., • 1 - 3 years of Assembly experience in a manufacturing environment, • High School Diploma or equivalent preferred, • 401(k) and 401(k) employer match, • Medical, Dental, and Vision Insurance, • Employee assistance program, • Life insurance, • Vacation time, • 8-hour shift ITAR requirements: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Met Weld is an Equal Opportunity Employer.

Job DescriptionSalary: $16.80-$20.40 Company Summary Grace Fellowship is a Christ-centered, non-denominational Christian church in the Capital District that believes in the authority of the Bible. All of the Churchs teaching focuses on integrating the truth of God's Word into our daily lives. Grace Fellowships mission is to glorify God by making more and better disciples. We believe that God, in His wisdom, has chosen us to be an integral part of helping to fulfill this mission. Its Grace Fellowships goal to see our community continually moving forward in their journey towards being Christ-centered. Grace Fellowship has 3 locations: Latham, Halfmoon, and Saratoga. Position Summary The Production Coordinator provides leadership and technical oversight to support worship services, rehearsals, and special events. This role ensures reliable, high-quality audio, video, and lighting through effective programming, preparation, system maintenance, and troubleshooting. The Production Coordinator oversees production volunteer teams and collaborates with the Worship Arts Pastor to carry out their vision for services. Essential Functions • Oversee weekend preparation and setup as directed by the Worship Arts Pastor, ensuring production spaces are ready, organized, and fully functional for services, • Operate, maintain and monitor all production equipment, including audio, video, lighting, and stage systems, ensuring safe and reliable execution during services and events, • Build and lead the Production Ministry alongside the Worship Arts Pastor by recruiting, training, and supporting volunteers., • Coordinate scheduling for production volunteers serving during Sunday services and special events, prioritizing accuracy, clear communication, and timely updates. Ensure adequate coverage for all campus production roles across services and events., • Produce in-person worship services by providing technical oversight and hands-on support in the preparation and execution of services and special events, serving as a technical operator as needed., • Develop and maintain a master plan for production equipment maintenance, replacement, and upgrades, including documentation of needs and timelines, • Participate in the design and construction of stage designs, special elements, and event rentals as assigned, • Collaborate with multi-campus worship leaders, production teams, and church-wide staff on all-staff meetings, events, and volunteer gatherings to support unified standards and effective execution, • Assist with annual budget planning and responsible stewardship of production resources, including equipment planning and cost awareness, • Ensure safe operation of production equipment and adherence to technical and safety standards, including proper setup, cable management, and risk awareness, • Use a scissor lift, ladder, or other powered or manual equipment as needed to install, maintain, and adjust production equipment or stage design, in accordance with training and safety requirements, • Perform other related production and service support duties as assigned in support of campus ministry and worship initiatives Knowledge, Skills, & Abilities (KSAs) Required KSAs • Associates degree from a 2-year college and/or four (4) years related experience or training, or an equivalent combination of education and experience, • Knowledge of live production systems, including audio, video, lighting, with the ability to apply best practices in a worship environment, • Demonstrated ability to exercise sound judgement and make timely decisions during live services and events, • Consistently produces high-quality work with strong attention to detail and accuracy, • Strong interpersonal skills & the ability to effectively work with a wide range of individuals, • Proven ability to communicate clearly, both verbally and in writing, with calm professionalism during time-sensitive situations, • Ability to safely operate production equipment and maintain awareness of technical and physical safety standards in worship environments, • Current active member of Grace Fellowship, or willingness to become a member and actively support the mission, values, and beliefs of Grace Fellowship Desired KSAs • Working knowledge of production software and hardware such as Planning Center, Vista by Chroma-Q, GrandMA, Ableton Live, Pro Tools, ProPresenter, Resolume, and Allen & Heath consoles, • Experience managing volunteers or teams strongly preferred, including scheduling, coaching, and accountability What We Believe Grace Fellowship expects all staff to align with our nine (9) statements of faith. These can be found on our website. Working Conditions • Work is performed in office, sanctuary, rehearsal, and live production environments, • Transportation to & between work locations, as required, • Weekend and some evening work required, • This position requires regular in-person work on campus, with limited remote work at the discretion of the supervisor, • Exposure to varying sound levels and stage lighting during rehearsals and worship services Physical & Mental Demands • Ability to perceive and respond to auditory cues necessary for production coordination and team communication, with or without reasonable accommodation, • Ability to visually monitor and adjust lighting cues, video feeds, stage environments, and production elements with or without reasonable accommodation, • Ability to operate production technology using fine motor skills, with or without reasonable accommodation, • May be required to lift up to 50 lbs., • Ability to look at a computer screen for a significant part of the workday, • Continuous talking and hearing while communicating with staff and volunteers, • Finger dexterity required to use computers, tablets, and ministry-operated equipment, • Ability to plan and organize tasks, solve problems, and make independent decisions, • Reading, writing, and interpreting information, • Strong communication, leadership, and interpersonal skills, • Ability to safely operate ladders, scissor lifts, and other powered or manual equipment required for stage setup, lighting adjustments, and production-related tasks, in accordance with safety training and procedures, with or without reasonable accommodation

Job DescriptionBenefits: • 401(k), • 401(k) matching, • Bonus based on performance, • Company parties, • Dental insurance, • Free uniforms, • Health insurance, • Opportunity for advancement, • Training & development, • Vision insurance Youll be responsible for installing, servicing, and repairing residential garage doors and openers while representing a company that is focused on professionalism, efficiency, and long-term growth in this market. What Youll Do • Install new residential garage doors, openers, and related systems, • Diagnose and repair mechanical and electrical issues, • Replace springs, cables, rollers, tracks, and hardware safely, • Complete service calls and preventative maintenance, • Educate customers on repairs, upgrades, and properdoor operation, • Maintain clean, organized job sites and company vehicles, • Follow company processes to ensure consistent, high-quality installations, • Accurately document work performed and materials used, • Work closely with the operations team to complete jobs on scheduleWhat Were Looking For, • Strong mechanical aptitude (construction, automotive, HVAC, or similar experience is helpful), • Dependable, hard-working, and able to work independently, • Ability to lift heavy materials and perform physical work daily, • Problem-solving mindset and attention to detail, • Professional communication and customer-service skills, • Valid drivers license with a clean driving record, • Willingness to learn we will train the right candidateGarage door experience is a plus, but not required. Candidates with strong hands-on trade experience are encouraged to apply. What We Offer • Competitive hourly and performance based pay with the potential to make over $150k, • Consistent, year-round work in the Philadelphia market, • Training in a specialized, in-demand trade, • Company vehicle (for qualified technicians), • Tools and equipment provided, • Opportunities for advancement as we expand operations, • A professional, team-oriented environment focused on doing things the right wayWhy Join Us? Were not just filling a position were building a team to support long-term growth in the Albany region. This is an opportunity to develop a career in the skilled trades with a company that values structure, accountability, and quality workmanship.

Job Description Job Overview: Join a leading property restoration company specializing in rebuilding and repairing homes and businesses after fire, water, storm, and other damage. As a Carpenter, you’ll play a key role in restoring structures by performing framing, trim, finishing, and general carpentry tasks. This position offers steady, full-time work with opportunities for growth in a respected restoration and construction environment. Job Type: Full-time, permanent, in person Pay: $26-35+/hour depending on experience Benefits: Health insurance, retirement plan, paid time off, and career development opportunities Tasks: • Perform a wide range of carpentry duties, including rough framing, drywall repair, trim work, cabinetry installation, and the installation of doors, windows, and hardware, • Assist with structural repairs, remodeling, and finish carpentry on both residential and commercial properties affected by fire, water, storm, or other damage, • Restore and rebuild interior and exterior spaces to pre-loss condition, following blueprints, drawings, and specifications, • Safely operate and maintain carpentry tools, equipment, and materials to complete work efficiently, • Ensure all tasks meet safety, quality, and building code requirements while maintaining a clean and organized worksite, • Collaborate closely with project managers, supervisors, and team members to complete restoration projects on schedule, • Provide excellent customer service by maintaining professionalism and clear communication with clients on-site Qualifications: • Proven carpentry experience (residential and/or commercial), • Knowledge of tools, equipment, and construction techniques, • Ability to read blueprints and follow specifications, • Strong attention to detail and problem-solving skills, • Valid driver’s license and reliable transportation Schedule: 7AM - 4PM, Monday – Friday, with some overtime or weekend work as needed To Apply: Submit an online application here. Need help with your resume? Visit Company DescriptionExpress Employment Professionals is a leading staffing provider in the U.S., Canada, South Africa, and Australia. Every day, we help job seekers find work and help businesses find qualified employees. The Capital Region Express Employment Professionals is a leading staffing agency in the Albany area servicing professional direct hire roles as well as short term workforce solutions to employers.Express Employment Professionals is a leading staffing provider in the U.S., Canada, South Africa, and Australia. Every day, we help job seekers find work and help businesses find qualified employees. The Capital Region Express Employment Professionals is a leading staffing agency in the Albany area servicing professional direct hire roles as well as short term workforce solutions to employers.

Job Description Sales Specialist Virginia Beach, VA Bring Your Ambition. We'll Bring the Tech. Are you ready to launch your career with a dynamic, forward-thinking company that values your growth and success? At Cobb Technologies, success starts with our people! We've been a leader in the Virginia marketplace for over 30 years, empowering businesses with cutting-edge technology solutions and unparalleled service.We're seeking motivated individuals to join our Sales Specialist team. If you're passionate about connecting with people, presenting innovative solutions, and thriving in a collaborative environment, we want to hear from you!What You'll Do as a Sales Specialist • Generate Sales: Meet and exceed annual revenue goals by delivering tailored technology solutions., • Understand Client Needs: Become a trusted business advisor by aligning our offerings with customer goals., • Provide Solutions: Present and sell a range of technology solutions, including print hardware, software, managed IT, and VoIP., • Prospect & Network: Expand your client base through in-person meetings, phone calls, social media, and events., • Build Relationships: Use active listening, empathy, and emotional intelligence to form meaningful client connections., • Support Clients: Offer exceptional customer service, proposal generation, and conduct virtual meetings., • Grow Professionally: Participate in on-going training to refine your skills and product knowledge.What You Bring, • Excellent communication, interpersonal, and customer service skills., • A passion for connecting with people and uncovering their needs., • Resilience, enthusiasm, and a team-oriented mindset., • Strong organizational skills and proficiency in MS Office Suite., • Willingness to learn and adapt to new technologies and techniques., • Prior sales experience is a plus, but not required-our training programs will set you up for success., • An associate or bachelor's degree, or equivalent business experience.Why Choose Cobb Technologies?We believe in a culture that energizes and inspires our team to excel while making an impact in the community.Here's what we offer:, • Competitive Pay with opportunities for growth and advancement., • Comprehensive Benefits including health plans and retirement options., • Flexible Scheduling to support work-life balance., • Pet-Friendly Workplace because we know furry friends make life better!, • Commitment to Development with ongoing training and career growth opportunities., • Employee Recognition Events to celebrate your success., • Community Impact through our charitable arm, Imprint, where we work together to support youth and make a difference.About Cobb TechnologiesAt Cobb, we're more than a business-we're a family. With over 115 team members across six offices in Virginia, we've built a dynamic, fun, and family-friendly culture. We are passionate about empowering our employees, fostering growth, and giving back to the community.If you're ready to build a rewarding career with an organization that's dedicated to your success and the success of the community, apply now! The selected candidate will be required to complete a criminal history background check and drug screen. Job Posted by ApplicantPro

Job DescriptionSalary: 6089.17 per month *10% below if not yet certified This posting is open until filled A 5th Judicial Circuit Application is required for this position. Please upload this completed form when you apply. Distinguishing Characteristics of Work: The essential function of the position within the organization is to interpret legal proceedings for non-English speaking individuals to ensure due process. The position is responsible for interpreting the spoken or written word from a source language to a target language, translating court evidence to a target language, testifying as an expert witness regarding accuracy of translated documents or tapes, and collecting statistical data. The position works under direct supervision according to set procedures. The position requires travel to provide services to all the five counties of the circuit as needed. Education and Training Guidelines: This position is open to any Florida Certified, Provisionally Approved, or Registered interpreter and requires proof of Florida Court Interpreter designation. Bachelors degree or a closely related field and two years of court/legal related experience. Additional relevant education may substitute for the recommended experience on a year-for-year basis. Knowledge, Skills and Abilities: Listens to speakers statements during regular court proceedings and prepares interpretations or interprets statements simultaneously or consecutively into specified languages. Translates documents and recorded materials presented in court from a source language to a target language. Provides interpreting services for court appointed psychological evaluations and competency evaluations. Maintains message content, context and style as much as possible during interpreting process. Testifies as expert witness regarding accuracy of documents translated for court proceedings. Collects and inputs data for statistical purposes concerning the number and type of interpreting tasks performed. Ability to communicate clearly with coworkers, management, staff and the public in a courteous and professional manner, both verbally and in writing. Effective use of business English, spelling, grammar and punctuation. Ability to research information and analyze data. Ability to prepare worksheets containing statistical data. Ability to handle sensitive matters before the court with integrity and confidentiality. Ability to handle multiple tasks with deadline requirements. Ability to work in a fast- paced environment with many interruptions. Ability to utilize word processing applications, e-mail, specialized hardware and software applications and the Internet. WE ARE AN EQUAL OPPORTUNITY EMPLOYER. WE DO NOT DISCRIMINATE ON THE BASIS OF RACE, RELIGION, COLOR, SEX, AGE, NATIONAL ORIGIN OR DISABILITY. IF YOU NEED AN ACCOMMODATION TO PARTICIPATE IN THE APPLICATION/SELECTION PROCESS, PLEASE CALL THE CONTACT PERSON AT THE NUMBER INDICATED. PERSONS USING A TDD MAY CALL THE CONTACT PERSON THROUGH THE FLORIDA RELAY SERVICE AT 1-800-955-8771

Job Description Senior Security Design Engineer Engineering data centers with precision and expertise. At Strategic Mission Critical, we are more than just engineers; we are experts focusing solely on mission critical facilities. Our seasoned leadership team brings together decades of experience, equipping data center providers worldwide with robust, reliable solutions that keep pace with the evolving digital landscape. With a rapidly expanding market and the anticipated increase in demand driven by AI advancements, SMC is at the forefront of industry growth. We offer not just jobs, but career paths that reward innovation and expertise. If you want to work alongside highly skilled professionals with years of mission critical experience, then we want you to be part of our team, a team that works on major projects for top-tier data center providers. Your work will ensure the resilience and efficiency of data infrastructure that millions depend on. SMC is actively looking for a Senior Level Security Engineer to direct and execute security access control, intrusion alarm, and surveillance systems design for mission critical projects. Typical project types may include design of greenfield and brownfield data center facilities, design of fit-out packages for hyperscale and enterprise clients of colocation providers, data center campus planning, conceptual designs and feasibility studies, and other mission critical applications such as command-and-control centers. This candidate shall be capable of executing security access control, intrusion alarm, and surveillance design projects independently, beginning with driving concept level discussions and proceeding through generation of design plans and specifications for permitting and construction. The telecommunication design scope will be a part of a broader project and therefore this candidate will be highly capable of interfacing with design leads within SMC (mechanical, electrical, fire protection, plumbing) as well as externally including architectural, civil, structural, etc. The ideal candidate will additionally be involved in growing the security access control, intrusion alarm, and surveillance expertise within the company, through internal training as well as recruiting and hiring as project work grows; development and implementation of design standards; oversight and execution of quality control practices. RESPONSIBILITIES This candidate will have the opportunity to direct and execute the security access control, intrusion alarm, and surveillance design while working and coordinating with clients and design leads from all disciplines. This candidate shall have the ability to communicate effectively with co-workers and with clients while being able to meet scheduled project deadlines. Responsibilities include but are not limited to: • Design access control, intrusion alarm, and surveillance systems and infrastructure for mission critical buildings and campuses including campus Perimeter Intrusion Detection Systems (PIDS) as well as vehicle and pedestrian entrances and exits. Design infrastructure, inside plant cabling, cable tray and conduit conveyance systems, security space layouts, security network systemsthat include access control and intrusion wall and rack elevations., • Produce complete sets of construction drawings suitable for stamping and submission utilizing Autodesk Revit., • Working knowledge of access control and intrusion alarm system software (ACS), and video management systems software (VMS) and Manufacturer’s standards, Coordinate with Architects and Door Hardware Contractor on the access control and surveillance security design, • Coordinate with all disciplines for required security interfaces., • Creating, editing, and understanding of Division 28 Specifications and Industry standards., • Coordinate power requirements with internal or external electrical and Telecommunication engineers., • Be capable of reviewing and understanding client standards and BOD, design criteria, applicable standards, and best practices in order to apply them to a design project., • Understand local and national construction codes and project specifications., • Perform construction administration tasks, including but not limited to responding to RFI’s and Submittals., • Have experience with the use of Microsoft tools such as Word, Power Point, Excel, and Teams., • Meet project deadlines, including working necessary hours to complete major deliverables., • Have the ability to travel when required to project sites (approximately 10-15% travel)., • Have the ability to clearly communicate with others in both written and spoken forms., • Lead junior engineers, designers, and modelers, and coordinate the tasks of small project teams to execute delivery of specific design elements., • Mentor and train other designers and modelers to develop security design knowledge base., • Education in an engineering or construction-related field, or equivalent hands-on experience., • Minimum of 10 years of experience in access control, intrusion alarm, and surveillance design installations, with a strong emphasis on Autodesk Revit for drawing development. Experience with MEP or telecommunications firms, consulting roles, or telecommunications construction will also be considered., • Minimum 7 years of experience with an MEP/Telecommunications consulting firm or specialty access control and surveillance consulting firm.., • Experience in access control, intrusion alarm, and surveillance design for industrial and commercial buildings., • Experience in access control, intrusion alarm, and surveillance design for mission critical projects is a plus., • Experience working across the entire construction process, from schematic design through construction administration, including review of submittals, RFIs, and Integrator’s shop drawings, and field work such as existing condition surveys, site observations, and punch lists., • Experience using construction management tools such as Procore and Autodesk Construction Cloud., • Experience with design of Telecommunications systems is not required but would be a plus., • Knowledge of controls and monitoring systems for mechanical and electrical systems is a plus., • Registered Communications Distribution Designer (RCDD) certification a plus. Base Compensation: $125,000-$200,000 (Actual compensation is subject to variation due to factors such as education, experience, skills, and/or location). SMC offers a competitive benefits package, with a 36-hour standard work week, hybrid working arrangement, 13 paid holidays, 100% coverage of medical, health, and dental insurance premiums for our full-time employees, and reimbursement of professional licensing costs. Spouse and family insurance premiums are subsidized by SMC. All full-time employees are additionally eligible for employer-sponsored life and long-term disability insurance as well as participation in our 401(k) plan, with annual safe harbor contribution.

Job Description Job Opening: Software Developer (Contract) Engineering data centers with precision and expertise. At Strategic Mission Critical, we are more than just engineers; we are experts focusing solely on mission critical facilities. Our seasoned leadership team brings together decades of experience, equipping data center providers worldwide with robust, reliable solutions that keep pace with the evolving digital landscape. With a rapidly expanding market and the AI adoption driving huge growth in the data center market, SMC is at the forefront of industry growth. We offer not just jobs, but career paths that reward innovation and expertise. If you want to work alongside highly skilled professionals with years of mission critical experience, then we want you to be part of our team; a team that works on major projects for top-tier data center providers. Your work will help ensure the resilience and efficiency of data infrastructure that millions depend on. SMC is actively looking for a Contract Software Developer to help us refine, expand, and maintain internally-developed software platforms for business operations and support our continued growth. The ideal candidate is a self-starter, comfortable working autonomously and has excellent communication skills including collaborative problem solving. Familiarity with consulting engineering or other project / resource / deliverable driven work is a big plus! This is a 1099 Contract Role with the candidate expected to set their own hours, provide their own computer hardware, invoice regularly for hours worked, and take responsibility for completing tasks and delivering results on a regular basis. You will collaborate with our internal engineering team to help define requirements, solicit UI/UX feedback, roll out new features, and develop documentation for both use and maintenance of associated software platforms. Required Skills • Python and TypeScript., • Django and Django REST Framework., • SQL with PostgreSQL (query tuning, indexing, transactions, data modeling)., • Production experience building and consuming REST APIs., • React development experience (hooks, state management, component architecture)., • Experience with background processing (Celery, Redis)., • Experience with testing frameworks and CI workflows., • Experience with authentication/security patterns (JWT, CORS, CSRF, RBAC)., • Experience with monitoring/error tracking tools (e.g., Sentry)., • Experience with Playwright, Vitest, or similar modern testing tools.

Job Title: Specialist, Electrical Engineer Job Code : 33357 Job Location: Rochester, NY Job Schedule: 9/80; Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: As a member of the Hardware Design Verification and Validation (HDV) team, r

Ace Hardware - - Responsibilities: Welcome customers and help them find items needed to complete their project in one trip; Assist customers in locating products in a fast-paced and high-energy environment; Stand on feet for 6 to 8 hours; Lift up to 50 pounds.

Unloads shipments of toilet partition hardware. Communicates with Partitions Shop, Customer Service and Production Control regarding orders, hardware and inventory. Understands and uses pack scan equipment to verify packing of components and hardware.

Ace Hardware - - Responsibilities: Greet customers entering and throughout the store.

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Unloads shipments of toilet partition hardware. Communicates with Partitions Shop, Customer Service and Production Control regarding orders, hardware and inventory. Understands and uses pack scan equipment to verify packing of components and hardware.

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We’re looking for a Hardware Manufacturing Engineer to support the design and scale-up of our foam spray system. You’ll work closely with our current hardware engineer and our Chief Scientific Officer to improve our system and help setup and scale our manufacturing. You’re excited about buildi

Ace Hardware - - Responsibilities: Greet and assist customers; Help customers find items for their projects; Work in a fast-paced, high-energy environment; Stand for 6 to 8 hours per shift; Lift up to 50 pounds.

Ace Hardware - - Responsibilities: Welcome customers and assist with their projects; Help customers find everything necessary to complete their project in one trip; Provide friendly, high-energy customer service in a fast-paced environment; Stand on your feet for 6 to 8 hours per shift; Lift up to

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DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Whether you’re looking for a side hustl

A career at Whole Foods Market is more than just the work you do- it's about your personal growth and creating meaningful change.Our purpose is to nourish people and the planet.That means improving how people eat, funding grants for school gardens, providing access to fresh and healthy food to peopl