Manufacturing Engineer jobs at Honeywell

Job Title Deployment Site Reliability Engineer Corporate Title Associate As a Deployment Site Reliability Engineer, you will be responsible for planning and executing complex network deployments that support high availability and performance across the organization. You will collaborate with cross-functional teams to automate infrastructure, monitor systems, and drive continuous improvement. Your role will help shape the technical direction of network operations while ensuring scalable and secure delivery. You will be a key contributor to innovation and operational excellence in a dynamic, enterprise environment. What We Offer You A diverse and inclusive environment that embraces change, innovation, and collaboration A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days Employee Resource Groups support an inclusive workplace for everyone and promote community engagement Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits Educational resources, matching gift and volunteer programs What You'll Do Plan, design, and execute deployment of network infrastructure including routers, switches, firewalls, and wireless systems across multiple sites Design and implement Infrastructure as Code solutions using tools like Terraform, CloudFormation, or Ansible Collaborate with operations and engineering teams to improve network design, optimize performance, and reduce latency Automate deployment and monitor tasks using scripting and configuration management tools Analyze current network deployments and propose improvements for scalability, security, and efficiency Influence technical direction by identifying trends and recommending innovative solutions and architectures Skills You'll Need Proficiency in Linux and Unix systems commonly used in server environments Experience with monitoring tools such as Datadog or Prometheus for performance tracking and incident response Understanding of networking protocols including Border Gateway Protocol (BGP), Open Shortest Path First (OSPF), Multiprotocol Label Switching (MPLS), Spanning Tree Protocol (STP), and Virtual Extensible LAN (VXLAN) Familiarity with enterprise network environments, preferably within financial institutions Certified technical engineer (e.g., Cisco Certified Network Associate) Skills That Will Help You Excel Experience with hardware from Cisco, Juniper, Arista, Fortinet or equivalent Proficiency in network automation tools and scripting languages like YAML, JSON, or Python Experience with version control systems, preferably Git Exposure to Infrastructure as a code or keenness to learn it Experience in agile or DevOps-oriented environments Expectations It is the Bank's expectation that employees hired into this role will work in the Jacksonville office in accordance with the Bank's hybrid working model. Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion. The salary range for this position in Jacksonville is $60,000 to $86,000. Actual salaries may be based on a number of factors including, but not limited to, a candidate's skill set, experience, education, work location and other qualifications. Posted salary ranges do not include incentive compensation or any other type of remuneration. Deutsche Bank Benefits At Deutsche Bank, we recognize that our benefit programs have a profound impact on our colleagues. That's why we are focused on providing benefits and perks that enable our colleagues to live authenti cally and be their whole selves, at every stage of life. We provide access to physical, emotional, and financial wellness benefits that allow our colleagues to stay financially secure and strike balance between work and home. Click here to learn more! Learn more about your life at Deutsche Bank through the eyes of our current employees *************************** The California Consumer Privacy Act outlines how companies can use personal information. If you are interested in receiving a copy of Deutsche Bank's California Privacy Notice please email **************** #LI-HYBRID We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Click these links to view Deutsche Bank's Equal Opportunity Policy Statement and the following notices: EEOC Know Your Rights; Employee Rights and Responsibilities under the Family and Medical Leave Act; and Employee Polygraph Protection Act.

What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.” We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! About this Position: Lead in development of problem solving, continuous improvement and associate mentoring/development, in alignment with efficient production, new model introduction, business plan implementation and innovation to achieve or exceed targets that promote associate success. Responsibilities include: • Oversee equipment function and line flow of assigned area. • Continuous development of self, colleagues and team through training and mentoring to proactively improve areas of management expertise for personal and team growth. • Evaluate and ensure management of critical production issues (down time, quality and safety issues etc.) for allocation of resources and appropriate action is taken in a timely manner. • Evaluate and assess concerns identified by team to help or guide them to address or correct and resolve issues utilizing PDCA. • Monitor daily SEQDCM conditions by reviewing daily reports to manage department outflow. • Manage projects for business plan and new model • Manage required organizational resources (manpower, structure, budget) necessary to achieve operational expectations. • Collaborate in the development of Business Plan Strategy and new technologies or model introductions to improve production characteristics and ensure voice of the floor is heard. Who we are seeking: Required Education: Bachelor's degree in engineering or engineering technology Required Experience 12 or more years of experience based on education Desired skills: Aligns planning and goal setting to company vision. Develops practical and realistic plans that ensure efficient use of resources Ensures development plans exist for all engineers and that these plans consider the associates career aspirations Celebrates the accomplishments of individuals. Ensures that associates feel seen, heard, and valued as key contributors to Honda's success. Demonstrates a genuine interest in new ideas through openness, accessibility and two-way discussions on how new ideas can work for NCM Ensures continuous improvement processes and improvement targets are in place and followed. Furthers cooperation by facilitating up, down and across the organization Considers customer viewpoint in decision making. Utilize production, equipment, and plant data to make informed decisions. Ability to evaluate the input vs the output on tasks quickly to make the team more efficient. Additional Position Factors: General office environment, including ability to use computing equipment and software applications, along with the ability to work remotely and with individuals who may work remotely Must be able to conceptualize data processes and workflows and articulate complex technology processes through self-developed documents and / or direct communication What differentiates Honda and makes us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Regional Bonus (when applicable) Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued learning Training and Development Programs Additional Offerings: Lifestyle Account Childcare Reimbursement Account Elder Care Support Tuition Assistance & Student Loan Repayment Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

Job Title: Splunk Cloud Engineer Corporate Title: Associate Splunk Cloud Engineer with experience in Security Information and Event Management, log management and data onboarding. The role focuses on ingesting, normalizing and validating data sources into Splunk to support Security Operations, Information Technology operations and Compliance use cases. The Associate will work closely with System on a Chip analyst, platform engineers and application owners to engineer different kinds of solutions. What We Offer You A diverse and inclusive environment that embraces change, innovation, and collaboration A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days Employee Resource Groups support an inclusive workplace for everyone and promote community engagement Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits Educational resources, matching gifts, and volunteer programs What You'll Do: Work with stakeholders to gather requirements for new sources and translate them into onboarding plans Configure and manage Splunk data inputs (Syslog, Universal forwarders, Application Programming Interface, Hybrid Electronic Cluster, cloud connectors etc.) Develop and maintain technical add-ons for field extractions, data parsing and normalization Ensure logs are onboarded following best practices for Common Information Model compliance and security frameworks (MITRE ATT&CK Framework, National Institute of Standards and Technology etc.) Troubleshoot ingestion issues across forwarders, indexers and parsing capabilities Automate onboarding workflows with scripts, dashboards, automation tools (Python, Ansible, Terraform etc.) Skills You'll Need: Bachelors Degree or equivalent experience required Experienced in Splunk developing, onboarding and SIEM engineering along with Splunk universal forwarders, heavy forwarders and indexers Expertise in Splunk SPL for data validation and dashboards Proficiency in data parsing and field extractions using props.conf, transforms.conf and Regex Skills That Will Help You Excel: Knowledge of operating system logs (windows, Linux), Network/Security devices (firewalls, Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS), proxies) and cloud platforms (Google Cloud Program, Azure, Amazon Web Services) Scripting/programming knowledge (Python, Bash, Power shell) Strong problem-solving and communication skills Experience on migration to Splunk cloud Expectations It is the Bank's expectation that employees hired into this role will work in the Arlington office in accordance with the Bank's hybrid working model. Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion. The salary range for this position in Arlington, VA is $85,000 to $120,750. Actual salaries may be based on a number of factors including, but not limited to, a candidate's skill set, experience, education, work location and other qualifications. Posted salary ranges do not include incentive compensation or any other type of remuneration. Deutsche Bank Benefits At Deutsche Bank, we recognize that our benefit programs have a profound impact on our colleagues. That's why we are focused on providing benefits and perks that enable our colleagues to live authenti cally and be their whole selves, at every stage of life. We provide access to physical, emotional, and financial wellness benefits that allow our colleagues to stay financially secure and strike balance between work and home. Click here to learn more! Learn more about your life at Deutsche Bank through the eyes of our current employees: *************************** The California Consumer Privacy Act outlines how companies can use personal information. If you are interested in receiving a copy of Deutsche Bank's California Privacy Notice please email ****************. #LI-HYBRID We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Click these links to view "Deutsche Bank's Equal Opportunity Policy Statement" and the following notices: "EEOC Know Your Rights"; "Employee Rights and Responsibilities under the Family and Medical Leave Act"; and "Employee Polygraph Protection Act".

What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.” We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose Lead, create, and implement innovative technical activities and solutions in the areas of Mass Production, Business Plan and New Model to efficiently meet or exceed Safety, Environment, Quality, Delivery, Cost, and Morale characteristic targets. Key Accountabilities Effectively communicate upstream and downstream to all levels of the organization to assure common understanding and direction. Review and analyze daily report(s) to identify safety, quality, delivery gaps and develop potential countermeasures and /or root cause analysis opportunities striving for continuous improvement. Utilize data analysis and PDCA to lead, support, develop and justify solutions with related groups/departments for your area of responsibility to solve complex problems. Monitor and manage equipment and processes to ensure optimal manufacturing performance and function while minimizing operating expense. Develop capability of self, colleagues, and team through training, mentoring, and sharing of experiences in area of technical expertise and understanding. Establish priorities and make decisions based on data analytics to most effectively accomplish business objectives. Manage project implementation, schedule, budget and resource allocations to ensure successful completion and target achievement. Test, evaluate, and implement new and innovative technologies to improve overall equipment and process efficiency. Develop and manage investment and expense budgets to achieve overall cost targets. Qualifications, Experience, and Skills Minimum Educational Qualifications Bachelors or Associates degree in engineering or engineering technology with relevant experience (mechanical, manufacturing, industrial or electrical, etc) with interest in manufacturing, if no degree 6 years of experience required Minimum Experience Mfg. co-op experience preferred but not required Decisions ExpectedWorking Conditions Work in production environment requiring PPE and lockout in manufacturing operations Manufacturing environment with the potential of working near hydraulic oils, cutting lubricants, ferrous and aluminum materials Work in production environment requiring PPE and lockout in manufacturing operations Working near oils, cutting lubricants Hands-on investigation and troubleshooting within equipment to countermeasure issues and to determine improvement activity Working with hand/power tools, quality gauging and instrumentation 50% office environment/ 50% manufacturing lineside activity Possible weekend or off-shift support as necessary 10-15 hours overtime per week Possible weekend or off-shift support as necessary Travel 5% (domestic & international) What differentiates Honda and make us an employer of choice? Total Rewards: • Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) • Paid Overtime • Regional Bonus (when applicable) • Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) • Paid time off, including vacation, holidays, shutdown • Company Paid Short-Term and Long-Term Disability • 401K Plan with company match + additional contribution • Relocation assistance (if eligible) Career Growth: • Advancement Opportunities • Career Mobility • Education Reimbursement for Continued Learning • Training and Development programs Additional Offerings: • Tuition Assistance & Student Loan Repayment • Lifestyle Account • Childcare Reimbursement Account • Elder Care Support • Wellbeing Program • Community Service and Engagement Programs • Product Programs • Free Drinks Onsite Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Site Reliability Engineers who are passionate about marrying data with emerging technologies to join our team. As a Site Reliability Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services Basic Qualifications: Bachelor's degree At least 4 years of experience in DevOps Engineering (Internship experience does not apply) At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) At least 4 years of Unix or Linux system administration experience At least 2 years of people management experience Preferred Qualifications: 7+ years of DevOps Engineering experience 4+ years of experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) 4+ years of experience with technologies Apache Mesos, Marathon, or Apache Spark 4+ years of experience using build and deployment tools (Jenkins, Docker) 2+ years of experience with distributed database systems (Cassandra, ElasticSearch) 2+ years of experience with deploying clustered web services 2+ years of experience working within Agile Development Practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. Chicago, IL: $175,800 - $200,700 for Manager, Software EngineeringMcLean, VA: $193,400 - $220,700 for Manager, Software EngineeringRiverwoods, IL: $175,800 - $200,700 for Manager, Software Engineering 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 ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. 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).

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Site Reliability Engineers who are passionate about marrying data with emerging technologies to join our team. As a Site Reliability Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services Basic Qualifications: Bachelor's degree At least 4 years of experience in DevOps Engineering (Internship experience does not apply) At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) At least 4 years of Unix or Linux system administration experience At least 2 years of people management experience Preferred Qualifications: 7+ years of DevOps Engineering experience 4+ years of experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) 4+ years of experience with technologies Apache Mesos, Marathon, or Apache Spark 4+ years of experience using build and deployment tools (Jenkins, Docker) 2+ years of experience with distributed database systems (Cassandra, ElasticSearch) 2+ years of experience with deploying clustered web services 2+ years of experience working within Agile Development Practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. Chicago, IL: $175,800 - $200,700 for Manager, Software EngineeringMcLean, VA: $193,400 - $220,700 for Manager, Software EngineeringRiverwoods, IL: $175,800 - $200,700 for Manager, Software Engineering 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 ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. 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).

Jacobs Levy Equity Management, located in Florham Park, NJ, is seeking a C# Engineer/Developer for application development. This role will assist in building and maintaining C# GUI and workflow application systems that support our financial application development. Primary Responsibilities The successful candidate will be responsible for developing and supporting the financial applications in the firm, including the following: Partner with Finance, Accounting and Compliance on how best to use the technology platform to optimize the business processes Collaborate with business users to gather requirements and incorporate User Experience (UX) enhancements to the workflow management applications Work closely with the development team to incorporate additional data feeds, and design and develop visual workflows Demonstrate a strong commitment to product quality: provide manual testing of the applications as needed and automate comprehensive testing Facilitate QA and UAT efforts for production systems Build scripts and utility tools to help the development team, as needed Requirements Master's degree in Engineering/Computer Science or equivalent 3+ years of experience in C# programming, industry experience with C++ is a big plus Must have working knowledge of back-office workflows and operations Strong knowledge of Accounting processes; Working knowledge of Advent Geneva is a big plus 3+ years of experience with Microsoft SQL Server 3+ years of experience in the financial services industry is preferred Able to deliver product enhancements on time with quality in a fast-paced environment Good communication skills and the ability to work well in a team Strong troubleshooting and reasoning skills

Pay: $80,000.00 - $135,000.00 per year Note: This position requires employees to be on-site five days a week at either the Raleigh, NC or Charlotte, NC office. Note: The qualified candidate for this position must have at least 5 years of transportation hydraulic design experience, preferably with NCDOT projects. About Our Client Our client is a privately held, employee-owned, and woman-owned engineering firm with over three decades of success. Headquartered in Raleigh, NC, they are recognized among the top firms in the Southeast and are a certified DBE and HUB business. With offices in Raleigh and Charlotte, they provide engineering services in transportation, roadway design, hydraulics, and more, delivering innovative solutions with a hands-on approach. Job Description Lead and support hydrology and hydraulic analysis for roadway and transportation projects Design stormwater management systems, ponds, and conveyance systems Perform erosion control and outfall analysis to ensure compliance with environmental standards Contribute to all aspects of roadway drainage design including culverts, bridges, ditches, BMPs, and watershed studies Conduct site visits and fieldwork to confirm existing conditions Develop hydrologic and hydraulic improvements for roadway and drainage projects Collaborate with multidisciplinary teams, sub-consultants, and permitting agencies Extract and analyze data from MicroStation, GEOPAK Drainage, HEC-RAS, and related tools Provide technical guidance and mentorship to junior staff Manage project scopes, schedules, and budgets when assigned Qualifications Bachelors or Masters degree in Civil Engineering or related discipline Professional Engineer (PE) license preferred Minimum of 5 years of hydraulic design experience, ideally with NCDOT projects Proficiency with MicroStation, GEOPAK Drainage, and HEC-RAS Working knowledge of NCDOT Guidelines for Drainage Studies and Hydraulic Design and FHWA Hydraulic Design Manual Soil erosion and sediment control design experience Familiarity with OpenRoads Designer and SUDA is a plus Strong written and verbal communication skills with the ability to work collaboratively in a team environment Must be authorized to work in the U.S. (sponsorship not available) Why This Is a Great Opportunity Join a top-ranked engineering firm with over 30 years of growth and recognition Relocation assistance available for qualified candidates Opportunity to work on diverse transportation and drainage projects with state-wide impact Professional growth potential, including project management opportunities and leadership development Comprehensive benefits package including health, vision, dental, life insurance, PTO, retirement plan, and paid holidays. JPC-384 Job Type: Full-time Benefits: Dental insurance Health insurance Life insurance Paid time off Relocation assistance Retirement plan Vision insurance

Must Have Technical/Functional Skills • Knowledge on Quality Management and its tools & techniques • Knowledge about GMP (Good Manufacturing Practices), FDA, ISO 13485 and compliance regulations • Knowledge on Medical Device Regulatory Standards, MDD and MDR • Knowledge on NC, CAPA, Root Cause Analysis and Audit processes • Knowledge on Validation process, writing protocols/ reports • Very good understanding/ experience in writing procedures, product specs and work instructions • Knowledge in Statistics, Risk Management and Design control • Must possess good communication skills (verbal and written), familiar with project management methodology, problem solving, and presentation skills • Experience in creating FMEAs & Writing reports • Experience in PMS (Post Market Surveillance) • Experience in PLM Tool (Windchill) • Good understanding of Design, Drawing and GD&T • Excellent Interpersonal / communication skills, Organizational / planning and Project management skills preferred • Personal computer skills, Windows: word processing, presentation, e-mail, web browsers & spreadsheet software • Ability to work efficiently, meet timelines, and communicate status (generate trackers, send emails, etc.) Roles & Responsibilities • Under limited supervision and in accordance with all applicable federal, state and local laws/regulations and Corporate Johnson & Johnson, procedures and guidelines, the duties and responsibilities for this position are: • Development and review of PDP (Product development Process) deliverables • Review and approve R&D/ Engineering protocol/ reports • Development of Risk management records (i.e. DFMEA/ PFMEA) in collaboration with SMEs • Support and provide guidance on Validations and if required write Validation Protocols/ Reports • Support/ Remediation of Validation/ Quality Documentation • Support Root Cause Investigation and closure of NC and CAPA • Review and approve the Change Orders (CR/ CN) • Review and update the design/ process control documents like procedures/ work instructions/ product specs etc. • Work with cross functional teams and internal teams to create deliverables • Performs other duties assigned as needed Salary Range: $90,000 $95,000 Year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Join a high-impact team transforming Finance through simplified, standardized, and strategically aligned processes. As a Process Engineer Manager , you will lead efforts to improve operational efficiency, enhance controls, and define scalable solutions across complex workflows. You will partner with key stakeholders - primarily Tech, Product, and Finance business teams, on high-visibility projects to reimagine and optimize the core Finance processes that power our day-to-day operations. Process design and streamlining focuses not only on effectiveness and efficiency, but also on building transparency, governance, and controls into every solution. Many of the processes you will support involve complex stakeholder interactions and some technology integration, making this a unique opportunity to gain visibility and make an impact across the organization. This role is ideal for someone who thrives in ambiguity, brings structure to complexity, and consistently delivers results. This role provides an opportunity to think strategically, apply structured methodologies, and operate decisively to influence strategic decisions and scalable solutions. Responsibilities : Lead medium to large-scale, cross-functional process improvement initiatives Lead end-to-end process evaluations using structured methodologies Leverage Six Sigma methodology and standardization tools and resources to support strategic initiatives and continuous improvement Partner with Finance business, Product and Tech teams to redesign existing or implement new processes that reduce manual effort, improve control, and increase transparency Build strong stakeholder relationships to drive alignment with business objectives, regulatory expectations, and risk management frameworks Document processes using tools such as swim lane process maps, critical-to-quality trees, performance metrics, control plans, RACI roles/responsibilities Translate complex or incomplete information into clear, actionable solutions Drive change management and adoption through clear communication and stakeholder engagement Anticipate and mitigate risks through proactive process controls and governance frameworks Own deliverables and timelines by working iteratively, adapting to shifting priorities, and guiding team through ambiguity Evaluate finance processes from a risk management perspective across areas like General Ledger, Accounting, Financial Planning and Analysis, Capital and Liquidity management, and related activities Keep abreast of financial industry laws and regulations and provide consultative guidance across stakeholders Basic qualifications : Bachelor's degree or military experience At least 3 years of experience in process engineering, improvement, or design At least 3 years of experience in project management At least 3 years of experience in risk management Preferred qualifications : Strong analytical, critical thinking, and problem solving skills Experience defining, measuring, and improving financial processes, especially those supporting General Ledger, Accounting, Financial Planning and Analysis, Capital and Liquidity management, and related activities Proven ability to successfully lead strategic cross-functional process initiatives Ability to distill complexity and drive alignment across stakeholders Proven ability to work independently; flexible to change in a fast paced environment that requires the balancing of competing priorities Process excellence certifications (e.g., Six Sigma Green or Black Belt, PMP, Agile) Experience supporting cross-functional process design in collaboration with technology and business teams Relevant experience in risk and control, operational excellence, or business transformation Proficient with business process mapping, process documentation, and process optimization Demonstrated use of structured methodologies for sustainable improvements Proven ability to enhance operational effectiveness while maintaining or enhancing strong controls Self-starter that establishes structure, prioritizes, and adapts quickly to change Excellent communicator and influencer across various levels of stakeholders At this time, Capital One will not sponsor a new applicant for employment authorization for this position. This role is hybrid, where you will be expected to spend 3 days per week working in office. 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: $158,400 - $180,800 for Manager, Capital Markets & Risk Richmond, VA: $144,000 - $164,400 for Manager, Capital Markets & Risk Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Must Have Technical/Functional Skills A minimum of 8-10 years of industry experience is required with at least 3 years of Package Development experience. Specific experience within the Consumer, OTC, or Pharmaceutical industry is must. GMP experience is must. Experience in a highly regulated environment is preferred. Demonstrated technical knowledge related to package materials, equipment, testing and package development is required. Roles & Responsibilities o Plan and execute package engineering assignments concerned with large life cycle management initiatives. o Engage in the development of the material and structural aspects of packages, including Primary, Secondary & Tertiary materials to ultimately deliver a robust packaging system to the market. o Design, Create & approve component specifications. Work closely with R&D for primary components design and product related changes. o Lead the package design development and assessment, Develop, write, gain cross-functional alignment, and route for approval package development documentation that captures the end-to-end project specific information. (Examples of documentation: Package Component Specifications, Package Development Assessment and Plan documents, Packaging Line Trial Protocols and Reports, Package Development Reports, etc.) o Lead packaging development projects. o Determine and coordinate physical testing to ensure product and package integrity for manufacturing through end users. o Lead troubleshooting in the resolution of packaging related issues in manufacturing and the field. o Execute packaging projects in compliance with government and corporate guidelines. o Execute package line trials and package testing. o cGMP (Current Good Manufacturing Practice) working experience. cGMP documentation proficiency. o Creating: Copy and graphics specification, Pallet patterns and Finished Put-up specifications. o SAP related tasks including Data Entry, Raw Material Code requests, Bill Of Material Creation and revisions. Generic Managerial Skills, If any Co-ordination with Stakeholders to trace, monitor & package development process Salary Range: $70,000 $90,000 Year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn't exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One's pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face - things like data publishing, data consumption, data governance, and infrastructure management - we've built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Machine Learning Engineer, you'll have the opportunity to be on the forefront of building this business and bring these tools to market. Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Collaborate on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelors Degree At least 7 years of experience in Software Engineering At least 5 years of experience in Machine Learning Systems and Infrastructure Preferred Qualifications: Masters' Degree 7+ years of experience using Python, Java, Go, and SQL 6+ year of experience deploying machine learning models Ability to understand deploying Machine Learning models in production environments at scale Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At this time, Capital One will not sponsor a new 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. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Machine Learning Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Must Have Technical/Functional Skills • Assist in fine-tuning VLA (Vision-Language Alignment) models for robotic perception and interaction tasks • Curate and preprocess multi-modal datasets (images, text, sensor data) from simulation and real-world sources • Evaluate model performance for tasks such as semantic understanding, object recognition, and scene interpretation • Collaborate with simulation engineers to validate models in Isaac Sim and Omniverse environments • Support real-world deployment and testing of VLA models on robotic platforms • Work with AWS teams to optimize training pipelines and model integration workflows • Analyze model outputs and provide insights for iterative improvements Roles & Responsibilities • Hands-on experience with PyTorch, TensorFlow, OpenCV, and vision-language models • Familiarity with synthetic data generation, auto-annotation, and simulation tools (Isaac Sim, Omniverse) • Experience with model evaluation metrics and performance tuning • Knowledge of ROS/ROS2, Python, and C++ for robotics integration • Exposure to cloud-based ML workflows (AWS SageMaker, EC2, S3) is a plus • Prior work in multi-modal AI systems, VLMs, or robotics perception is highly desirable Generic Managerial Skills, If any The engineers will play a critical role in bridging simulation and deployment pipelines for advanced perception systems. Base Salary Range: $130,000 - $170,000 per annum TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn't exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One's pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face - things like data publishing, data consumption, data governance, and infrastructure management - we've built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Machine Learning Engineer, you'll have the opportunity to be on the forefront of building this business and bring these tools to market. Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Collaborate on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelors Degree At least 7 years of experience in Software Engineering At least 5 years of experience in Machine Learning Systems and Infrastructure Preferred Qualifications: Masters' Degree 7+ years of experience using Python, Java, Go, and SQL 6+ year of experience deploying machine learning models Ability to understand deploying Machine Learning models in production environments at scale Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At this time, Capital One will not sponsor a new 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. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Machine Learning Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer -ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our internal Audit team and partners across the company to build and deploy proprietary solutions that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. You will: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. 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. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. 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. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Go, Scala, or Java At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: 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 6 years of experience designing, developing, delivering, and supporting AI services at scale 3 years of experience developing AI and ML algorithms or technologies using Python 2 years of experience with Retrieval Augmented Generation (RAG) Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) 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: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $193,400 - $220,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Legal Entity: American Honda Motor Co., Inc. Business Unit: Development & Manufacturing Division: PSP Purchasing Shift: 1st Workstyle: Onsite Career Level: 4 Job Grade: Exempt-2 Job Purpose The Quality Engineer will manage New Model project activity and review supplier part & process maturation to meet New Model project timing and successful mass production launch. The Quality Engineer will provide technical engineering analysis to ensure part and process can meet Honda's mass production quality requirements and demands. Key Accontabilities Parts Quality Project leader responsibilities for new model development projects. Monitors new model project and coordinates New Model Parts Quality team to complete milestones according to schedule. Lead New Model Reviews virtually or on site at suppliers to confirm full Part Maturation of all parts prior to mass production. Provide status updates to Parts Quality management team, New Model Evaluators. Complete Part by Part Reviews and Trial Event parts inspection using metrology tools such as calipers, height gauge, optical comparator, microscope, etc. Prepare evaluation documentations and present to Purchasing management team, new model team, and division leads and project evaluators. Track, analyze and report part tooling development throughout the new model cycle for assigned suppliers as well as giving tool goals and objectives to suppliers at New Model development timing. Request and Manage receipt of all Quality Assurance Notice documents from suppliers to evaluate technical contents and request countermeasures as needed to achieve part approval Share all concern items, analysis, recommendations and countermeasures through documentation to management for New Model Evaluation reports Qualifications, Experience, and Skills Minimum Education: Bachelor or Associate's degree in quality Engineering, Project Management, or Supply Chain Managemen Minimum Experience: 2 or more years of experience within a manufacturing environment and working with OEM supplier Working Conditions Schedule onsite meetings with suppliers to review problem details and set plans for improvement. Must be able to work a flexible schedule including off-shifts and weekends as necessary. Must be able to work overtime as necessary to support department needs (short term and/or scheduled). Must be able to travel by ground/air to domestic and/or international supplier locations. What differentiates Honda and makes us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Regional Bonus (when applicable) Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued learning Training and Development Programs Additional Offerings: Lifestyle Account Childcare Reimbursement Account Elder Care Support Tuition Assistance & Student Loan Repayment Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $175,800 - $200,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Anytown, IL: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

In this role, you will impact our manufacturing operations by optimizing production processes and driving continuous improvement initiatives, contributing to increased efficiency, reduced costs, and improved quality. Your expertise will help us stay at the forefront of advanced manufacturing technologies and ensure that we deliver innovative and high-quality products to our customers. At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying and developing successors, driving retention and engagement, and fostering an inclusive culture. + Lead and oversee advanced manufacturing processes to ensure quality, efficiency, and productivity. + Develop and implement strategies to optimize production processes and drive continuous improvement. + Collaborate with cross-functional teams to identify and implement advanced manufacturing technologies. **YOU MUST HAVE** + Proven experience in advanced manufacturing, process optimization, and lean manufacturing principles. + Strong knowledge of manufacturing technologies, such as automation, robotics, and additive manufacturing. + Experience with data analysis and statistical process control. + Excellent problem-solving and decision-making skills. **WE VALUE** + Advanced Engineering degrees like ME (Mechanical Engineering) or EE (Electrical Engineering). + Proven track record of driving process improvements and achieving results. + Ability to think strategically and implement innovative solutions. + Strong project management skills. + Knowledge of industry best practices and emerging trends in advanced manufacturing. **U.S. PERSON REQUIREMENTS** Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization. **BENEFITS OF WORKING FOR HONEYWELL** In addition to a performance-driven salary, cutting-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: Benefits at Honeywell (******************************** The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. **Posting Date** : 12/1/2025 **ABOUT HONEYWELL** Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell click here: Honeywell - The Future Is What We Make It (******************************** **THE BUSINESS UNIT** Honeywell Aerospace Technologies (AT) products and services are found on virtually every commercial, defense, and space aircraft in the world. We build aircraft engines, cockpit and cabin electronics, wireless connectivity systems, mechanical components and more, and connect many of them via our high-speed Wi-Fi offerings. Our solutions create healthier air travel, more fuel-efficient and better-maintained aircraft, more direct and on-time flight arrivals, safer skies and airports, and more comfortable flights, along with several innovations and services that reflect exciting and emerging new transportation methods such as autonomous and supersonic flight. Revenues in 2023 for Honeywell Aerospace Technology were $14B and there are approximately 21,000 employees globally. To learn more, please visit click here _(********************************** . Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable. Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.