Up to: $85/Hourly Refer & Earn $1000 View Referral Details Job Number ITWQG JOB DESCRIPTION client in Houston, TX in need of an AI Engineer to play a critical role in designing, training, and deploying advanced machine learning and generative AI solutions that address complex, real-world challenges. You will be working on cutting-edge AI initiatives, large language models (LLMs), agentic workflows, and multimodal systems, delivering impactful and responsible AI applications at enterprise scale. This is a hybrid role which requires 3 days onsite, 2 days remote in Houston, TX. Responsibilities: Design, develop, and train machine learning and deep learning models for production use Build agentic AI systems, including multi-step reasoning workflows, tool using agents, and autonomous or semi-autonomous processes Evaluate, customize, and fine-tune open-source and commercial large language models (LLMs) for domain-specific use cases Develop impactful AI applications that deliver measurable business and operational value Design robust ML systems capable of handling multimodal data (text, tabular data, images, documents, etc.) Apply advanced statistical analysis and machine learning techniques to large, complex datasets Leverage state-of-the-art Generative AI techniques such as Retrieval Augmented Generation (RAG), prompt engineering, embeddings, and model orchestration Lead the design and implementation of AI solutions leveraging Microsoft AI and Azure services, and open-source LLM models (e.g. HuggingFace, etc.) Collaborate closely with product managers, domain experts, data engineers, and software engineers to define and deliver AI-driven solutions Participate in fast-paced proof-of-concepts (POCs) and pilots to validate solution designs Ensure best practices for MLOps, including CI/CD, monitoring, versioning, and lifecycle management Bachelor's degree in Computer Science, Mathematics, Engineering, Data Science, or a related field (Master's or PhD preferred) Proven experience as a Machine Learning Engineer, AI Engineer, or similar senior-level role Strong foundation in mathematics, probability, statistics, and algorithms Demonstrated experience training and deploying machine learning and deep learning models Expertise in Python and experience with production-quality codebases (experience with C#, Java, or similar languages is a plus) Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras Strong experience working with language foundation models and techniques for adapting them to specific use cases (fine-tuning, prompt engineering, RAG, evaluation) Experience working with both open-source LLMs (e.g., LLaMA, Mistral, Falcon) and commercial LLM platforms Familiarity with CI/CD practices across the model lifecycle Solid understanding of software architecture, data structures, and data modeling Excellent communication skills with the ability to explain complex technical concepts to diverse audiences Strong analytical thinking and problem-solving skills Ability to work effectively in cross-functional, collaborative teams Nice to have: Experience designing, building, and maintaining AI solutions on commercial cloud platforms, especially Microsoft Azure Hands-on experience with Azure AI services, Azure Machine Learning, or similar platforms Strong knowledge of MLOps and DevOps tools such as Azure DevOps, GitHub Actions, or GitLab Experience with data engineering and end-to-end data science workflows Familiarity with responsible AI practices, model governance, and risk management Experience delivering AI solutions in regulated or mission-critical environments Passion for continuous learning and staying at the forefront of AI and machine learning advancements
04/02/2026
Up to: $85/Hourly Refer & Earn $1000 View Referral Details Job Number ITWQG JOB DESCRIPTION client in Houston, TX in need of an AI Engineer to play a critical role in designing, training, and deploying advanced machine learning and generative AI solutions that address complex, real-world challenges. You will be working on cutting-edge AI initiatives, large language models (LLMs), agentic workflows, and multimodal systems, delivering impactful and responsible AI applications at enterprise scale. This is a hybrid role which requires 3 days onsite, 2 days remote in Houston, TX. Responsibilities: Design, develop, and train machine learning and deep learning models for production use Build agentic AI systems, including multi-step reasoning workflows, tool using agents, and autonomous or semi-autonomous processes Evaluate, customize, and fine-tune open-source and commercial large language models (LLMs) for domain-specific use cases Develop impactful AI applications that deliver measurable business and operational value Design robust ML systems capable of handling multimodal data (text, tabular data, images, documents, etc.) Apply advanced statistical analysis and machine learning techniques to large, complex datasets Leverage state-of-the-art Generative AI techniques such as Retrieval Augmented Generation (RAG), prompt engineering, embeddings, and model orchestration Lead the design and implementation of AI solutions leveraging Microsoft AI and Azure services, and open-source LLM models (e.g. HuggingFace, etc.) Collaborate closely with product managers, domain experts, data engineers, and software engineers to define and deliver AI-driven solutions Participate in fast-paced proof-of-concepts (POCs) and pilots to validate solution designs Ensure best practices for MLOps, including CI/CD, monitoring, versioning, and lifecycle management Bachelor's degree in Computer Science, Mathematics, Engineering, Data Science, or a related field (Master's or PhD preferred) Proven experience as a Machine Learning Engineer, AI Engineer, or similar senior-level role Strong foundation in mathematics, probability, statistics, and algorithms Demonstrated experience training and deploying machine learning and deep learning models Expertise in Python and experience with production-quality codebases (experience with C#, Java, or similar languages is a plus) Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras Strong experience working with language foundation models and techniques for adapting them to specific use cases (fine-tuning, prompt engineering, RAG, evaluation) Experience working with both open-source LLMs (e.g., LLaMA, Mistral, Falcon) and commercial LLM platforms Familiarity with CI/CD practices across the model lifecycle Solid understanding of software architecture, data structures, and data modeling Excellent communication skills with the ability to explain complex technical concepts to diverse audiences Strong analytical thinking and problem-solving skills Ability to work effectively in cross-functional, collaborative teams Nice to have: Experience designing, building, and maintaining AI solutions on commercial cloud platforms, especially Microsoft Azure Hands-on experience with Azure AI services, Azure Machine Learning, or similar platforms Strong knowledge of MLOps and DevOps tools such as Azure DevOps, GitHub Actions, or GitLab Experience with data engineering and end-to-end data science workflows Familiarity with responsible AI practices, model governance, and risk management Experience delivering AI solutions in regulated or mission-critical environments Passion for continuous learning and staying at the forefront of AI and machine learning advancements
2. Building server-side APIs using web application frameworks (Flask and Django) and translating to production level code to ship models to production environment at scale. 3. Leading experimental designs for product tests using both true A/B experiments and pseudo-experiments. 4. Employing statistical and numerical methodologies, including synthetic control methods, propensity score matching, and switchback experiments, to improve inference quality, conduct statistical analysis, including exploratory data analysis and hypothesis testing, ensure experimental rigor, and guide decision-making. 5. Implementing and assessing the latest memory-challenging GenAI/LLM, voice recognition (whisperx), Image Recognition, and other Artificial Intelligence updates to convert technology and algorithms to business impacts. 6. Using alternating least squares algorithm to get personalized product recommendations from customer history and applying fastAPI to deliver personalized recommendations under 250m sec and perform data integration from multiple systems and preparing cross-sectional reports using SQL. 7. Developing and maintaining predictive models, including regression analysis models and classification models, for reporting and analyzing data using Python, SAS, and R to improve customer retention. 8. Constructing a task scheduler (Maincontroller) to manage and coordinate model training and data processing pipelines, including logic for checking job dependencies, retries, and resource usage; this involves automating ETL workflows and overseeing data management and transfers through systems while maintaining data integrity, and performing validations, error resolution and decision making to support business processing requirements. 9. Building simulation systems to optimize supply chain workflows, incorporating visualizations for users to evaluate operational changes in real time. 10. Automating data cleansing, exploration analysis, feature engineering, the dimension reduction process and experimentation process for simulation systems in Python libraries, using Pandas, NumPy, SciPy, and PyJanitor. 11. Developing data-driven solutions and creating dashboards, visualizations, and reports to clearly present findings and insights from available data sources, including actionable recommendations, to management and stakeholders. 12. Developing probabilistic models for return rate forecasting, combining prior/posterior estimation techniques with neural forecasting models like N-BEATS, NHITS, and TFT, and fit analysis, factor analysis, forward and backward stepwise, and singular value decomposition, and time series feature extraction to evaluate model accuracy. 13. Designing and creating data pipelines using real time data for production processes, including fraud detection, PLP sort, etc., reducing the latency and cost by optimizing the batch allocation between servers and data based on region, version compatibility and server capacity. 14. Storing and retrieving generated data in relational databases (MySQL, Redshift, and S3 Bucket) in a performant, safe, and secure way, including performing data extraction using different database languages including HiveQL and COBOL. 15. Utilizing Docker to create isolated application environments and deploy machine learning models on both cloud-based servers and offline servers. May telecommute. The position requires three (3) years of experience in the job offered or a related occupation. Experience must include: a. Performing data integration from multiple systems and preparing cross-sectional reports using SQL. b. Conducting statistical analysis, including exploratory data analysis, hypothesis testing, and summary statistics. c. Developing and maintaining predictive models, including regression analysis models and classification models, for reporting and analyzing data using Python, SAS, and R to improve customer retention. d. Overseeing data management and transfers through systems, maintaining data integrity, and performing validations, error resolution and decision making to support business processing requirements. e. Developing data-driven solutions and creating dashboards, visualizations, and reports to clearly present findings and insights from available data sources to management and stakeholders. f. Using statistical and numerical methodologies, including fit analysis, factor analysis, forward and backward stepwise, and singular value decomposition. g. Automating data cleansing, exploration analysis, feature engineering, and the dimension reduction process in Python using Pandas, NumPy, SciPy, and PyJanitor. h. Developing challenger models using advanced machine learning algorithms in Python using Scikit-learn and XGB to explore various methodologies on model redevelopment. i. Performing data extraction using different database languages, including HiveQL and COBOL. Masters (or foreign educ. equiv.) Degree in Data Science, Applied Statistics, or related field. $130,300 per annum. 40 hours per week; M-F. Please send us your resume via email at candidates (at) placementservicesusa (dot) com with reference . Do not copy and paste your resume in the body email. Please attach it as a Word or PDF document. Thank you.
04/02/2026
2. Building server-side APIs using web application frameworks (Flask and Django) and translating to production level code to ship models to production environment at scale. 3. Leading experimental designs for product tests using both true A/B experiments and pseudo-experiments. 4. Employing statistical and numerical methodologies, including synthetic control methods, propensity score matching, and switchback experiments, to improve inference quality, conduct statistical analysis, including exploratory data analysis and hypothesis testing, ensure experimental rigor, and guide decision-making. 5. Implementing and assessing the latest memory-challenging GenAI/LLM, voice recognition (whisperx), Image Recognition, and other Artificial Intelligence updates to convert technology and algorithms to business impacts. 6. Using alternating least squares algorithm to get personalized product recommendations from customer history and applying fastAPI to deliver personalized recommendations under 250m sec and perform data integration from multiple systems and preparing cross-sectional reports using SQL. 7. Developing and maintaining predictive models, including regression analysis models and classification models, for reporting and analyzing data using Python, SAS, and R to improve customer retention. 8. Constructing a task scheduler (Maincontroller) to manage and coordinate model training and data processing pipelines, including logic for checking job dependencies, retries, and resource usage; this involves automating ETL workflows and overseeing data management and transfers through systems while maintaining data integrity, and performing validations, error resolution and decision making to support business processing requirements. 9. Building simulation systems to optimize supply chain workflows, incorporating visualizations for users to evaluate operational changes in real time. 10. Automating data cleansing, exploration analysis, feature engineering, the dimension reduction process and experimentation process for simulation systems in Python libraries, using Pandas, NumPy, SciPy, and PyJanitor. 11. Developing data-driven solutions and creating dashboards, visualizations, and reports to clearly present findings and insights from available data sources, including actionable recommendations, to management and stakeholders. 12. Developing probabilistic models for return rate forecasting, combining prior/posterior estimation techniques with neural forecasting models like N-BEATS, NHITS, and TFT, and fit analysis, factor analysis, forward and backward stepwise, and singular value decomposition, and time series feature extraction to evaluate model accuracy. 13. Designing and creating data pipelines using real time data for production processes, including fraud detection, PLP sort, etc., reducing the latency and cost by optimizing the batch allocation between servers and data based on region, version compatibility and server capacity. 14. Storing and retrieving generated data in relational databases (MySQL, Redshift, and S3 Bucket) in a performant, safe, and secure way, including performing data extraction using different database languages including HiveQL and COBOL. 15. Utilizing Docker to create isolated application environments and deploy machine learning models on both cloud-based servers and offline servers. May telecommute. The position requires three (3) years of experience in the job offered or a related occupation. Experience must include: a. Performing data integration from multiple systems and preparing cross-sectional reports using SQL. b. Conducting statistical analysis, including exploratory data analysis, hypothesis testing, and summary statistics. c. Developing and maintaining predictive models, including regression analysis models and classification models, for reporting and analyzing data using Python, SAS, and R to improve customer retention. d. Overseeing data management and transfers through systems, maintaining data integrity, and performing validations, error resolution and decision making to support business processing requirements. e. Developing data-driven solutions and creating dashboards, visualizations, and reports to clearly present findings and insights from available data sources to management and stakeholders. f. Using statistical and numerical methodologies, including fit analysis, factor analysis, forward and backward stepwise, and singular value decomposition. g. Automating data cleansing, exploration analysis, feature engineering, and the dimension reduction process in Python using Pandas, NumPy, SciPy, and PyJanitor. h. Developing challenger models using advanced machine learning algorithms in Python using Scikit-learn and XGB to explore various methodologies on model redevelopment. i. Performing data extraction using different database languages, including HiveQL and COBOL. Masters (or foreign educ. equiv.) Degree in Data Science, Applied Statistics, or related field. $130,300 per annum. 40 hours per week; M-F. Please send us your resume via email at candidates (at) placementservicesusa (dot) com with reference . Do not copy and paste your resume in the body email. Please attach it as a Word or PDF document. Thank you.
Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID:
04/02/2026
Full time
Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID:
In-Q-Tel In-Q-Tel is an Affirmative Action Employer who values diversity in the workplace. EOE/M/F/disability/vets Technology Architect - Cyber US-VA-McLean Job ID: Type: Regular Full-Time # of Openings: 1 Category: Technology Consulting IQT Overview This is an exempt position reporting to the Vice President of Technology. This position will work closely with IQT's government partners to understand their technology challenges and use their mastery of technology to investigate and recommend potential solutions from the venture-backed startup landscape. This position will lead the technical aspects of an investment to ensure that IQT delivers effective and compelling solutions to our government partners. This position is responsible for identifying and executing investments in technology areas including: Digital Forensics, Malware Analysis, and Reverse Engineering Cryptography, Data Protection, and Isolation Vulnerability Assessment, Penetration Testing, and Exploit Development Identity Management and Authentication Network Traffic Analysis Embedded Systems (IoT/OT) Security Next-Generation Endpoint Security and Incident Response/Recovery Secure Software Development (DevSecOps) Software Defined Infrastructure Security (Cloud, Containers, SDN) Threat Intelligence Application of Artificial Intelligence (AI) to Cybersecurity Responsibilities Identifies new technology areas for investment and provides technical diligence on multiple complimentary investments in that technology area. Develop and negotiation of Statements of Work contracts between IQT and start-up companies. Provide technical oversight on work programs; performs assessments of work program deliverables. Identifies and communicates paths for resolution of issues on work programs to key stakeholders and IQT Leadership. Leverages technical/market experience and understanding of government partner use cases to identify new topics for, and oversee development of, Market Surveys and Global Competitive Analysis products. Oversee development of technology architectures and solutions to address problems faced by IQT's government partners Provides thought leadership in one or more areas of subject matter expertise. Coordinates with customers on technology adoption strategy in development of multiple work programs in a government partner mission area. Qualifications Minimal Qualifications: Due to contractual reasons, U.S. Citizenship is required Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical field (or equivalent experience) preferred. 5+ years professional experience with some portion of that time overseeing a technology development effort in a business and/or intelligence environment. Demonstrated expertise in one or more of the following fields: secure software development, embedded systems security, cryptography, vulnerability assessment, endpoint security, network security, cloud security, and malware analysis. Previous experience negotiating milestone-based Statements of Work contracts. Candidates with active top-secret clearance preferred; at a minimum, candidate must meet eligibility requirements for access to classified information. Preferred Qualifications: Commitment to continued understanding of new technologies and their strategic advantages. Hands-on development experience in one or more of the following areas: Programming in Python, JavaScript, Golang, or Rust Assembly code programming in VHDL Cloud computing platforms such as GCP, AWS, and Azure REST APIs Machine learning techniques Capable of analyzing complex problems including identifying root cause issues, generating a concise summary of analysis; and presenting recommendations for non-technical audiences. Startup or entrepreneurial experience and proven ability to thrive in a non-traditional, entrepreneurial environment. Comfortable presenting complex technology subjects to both technical and non-technical audiences. Prior experience working with the US Intelligence Community Strong writer: experience in both technical writing and proposal/contract writing is preferred. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. PM22 PIb2b-2142
04/02/2026
Full time
In-Q-Tel In-Q-Tel is an Affirmative Action Employer who values diversity in the workplace. EOE/M/F/disability/vets Technology Architect - Cyber US-VA-McLean Job ID: Type: Regular Full-Time # of Openings: 1 Category: Technology Consulting IQT Overview This is an exempt position reporting to the Vice President of Technology. This position will work closely with IQT's government partners to understand their technology challenges and use their mastery of technology to investigate and recommend potential solutions from the venture-backed startup landscape. This position will lead the technical aspects of an investment to ensure that IQT delivers effective and compelling solutions to our government partners. This position is responsible for identifying and executing investments in technology areas including: Digital Forensics, Malware Analysis, and Reverse Engineering Cryptography, Data Protection, and Isolation Vulnerability Assessment, Penetration Testing, and Exploit Development Identity Management and Authentication Network Traffic Analysis Embedded Systems (IoT/OT) Security Next-Generation Endpoint Security and Incident Response/Recovery Secure Software Development (DevSecOps) Software Defined Infrastructure Security (Cloud, Containers, SDN) Threat Intelligence Application of Artificial Intelligence (AI) to Cybersecurity Responsibilities Identifies new technology areas for investment and provides technical diligence on multiple complimentary investments in that technology area. Develop and negotiation of Statements of Work contracts between IQT and start-up companies. Provide technical oversight on work programs; performs assessments of work program deliverables. Identifies and communicates paths for resolution of issues on work programs to key stakeholders and IQT Leadership. Leverages technical/market experience and understanding of government partner use cases to identify new topics for, and oversee development of, Market Surveys and Global Competitive Analysis products. Oversee development of technology architectures and solutions to address problems faced by IQT's government partners Provides thought leadership in one or more areas of subject matter expertise. Coordinates with customers on technology adoption strategy in development of multiple work programs in a government partner mission area. Qualifications Minimal Qualifications: Due to contractual reasons, U.S. Citizenship is required Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical field (or equivalent experience) preferred. 5+ years professional experience with some portion of that time overseeing a technology development effort in a business and/or intelligence environment. Demonstrated expertise in one or more of the following fields: secure software development, embedded systems security, cryptography, vulnerability assessment, endpoint security, network security, cloud security, and malware analysis. Previous experience negotiating milestone-based Statements of Work contracts. Candidates with active top-secret clearance preferred; at a minimum, candidate must meet eligibility requirements for access to classified information. Preferred Qualifications: Commitment to continued understanding of new technologies and their strategic advantages. Hands-on development experience in one or more of the following areas: Programming in Python, JavaScript, Golang, or Rust Assembly code programming in VHDL Cloud computing platforms such as GCP, AWS, and Azure REST APIs Machine learning techniques Capable of analyzing complex problems including identifying root cause issues, generating a concise summary of analysis; and presenting recommendations for non-technical audiences. Startup or entrepreneurial experience and proven ability to thrive in a non-traditional, entrepreneurial environment. Comfortable presenting complex technology subjects to both technical and non-technical audiences. Prior experience working with the US Intelligence Community Strong writer: experience in both technical writing and proposal/contract writing is preferred. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. PM22 PIb2b-2142
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead BizOps Engineer We are seeking a Lead Data Engineer to join Mastercard Architecture & Analytics team. You will help shape our innovation roadmap by exploring new technologies and building scalable, data driven prototypes and products. The ideal candidate is hands on, curious, adaptable, and motivated to experiment and learn.What You'll Do Drive Data Architecture: Own the data architecture and modeling strategy for AI projects. Define how data is stored, organized, and accessed. Select technologies, design schemas/formats, and ensure systems support scalable AI and analytics workloads. Build Scalable Data Pipelines: Lead development of robust ETL/ELT workflows and data models. Build pipelines that move large datasets with high reliability and low latency to support training and inference for AI and generative AI systems. Ensure Data Quality & Governance: Oversee data governance and compliance with internal standards and regulations. Implement data anonymization, quality checks, lineage, and controls for handling sensitive information. Provide Technical Leadership: Offer hands on leadership across data engineering projects. Conduct code reviews, enforce best practices, and promote clean, well tested code. Introduce improvements in development processes and tooling. Cross Functional Collaboration: Work closely with engineers, scientists, and product stakeholders. Scope work, manage data deliverables in agile sprints, and ensure timely delivery of data components aligned with project milestones.What You'll Bring Extensive Data Engineering Experience: 8-12+ years in data engineering or backend engineering, including senior/lead roles. Experience designing end to end data systems, solving scale/performance challenges, integrating diverse sources, and operating pipelines in production. Big Data & Cloud Expertise: Strong skills in Python and/or Java/Scala. Deep experience with Spark, Hadoop, Hive/Impala, and Airflow. Hands on work with AWS, Azure, or GCP using cloud native processing and storage services (e.g., S3, Glue, EMR, Data Factory). Ability to design scalable, cost efficient workloads for experimental and variable R&D environments. AI/ML Data Lifecycle Knowledge: Understanding of data needs for machine learning-dataset preparation, feature/label management, and supporting real time or batch training pipelines. Experience with feature stores or streaming data is useful. Leadership & Mentorship: Ability to translate ambiguous goals into clear plans, guide engineers, and lead technical execution. Problem Solving Mindset: Approach issues systematically, using analysis and data to select scalable, maintainable solutions.Required Skills Education & Background: Bachelor's degree in Computer Science, Engineering, or related field. 8-12+ years of proven experience architecting and operating production grade data systems, especially those supporting analytics or ML workloads. Pipeline Development: Expert in ETL/ELT design and implementation, working with diverse data sources, transformations, and targets. Strong experience scheduling and orchestrating pipelines using Airflow or similar tools. Programming & Databases: Advanced Python and/or Scala/Java skills and strong software engineering fundamentals (version control, CI, code reviews). Excellent SQL abilities, including performance tuning on large datasets. Big Data Technologies: Hands on Spark experience (RDDs/DataFrames, optimization). Familiar with Hadoop components (HDFS, YARN), Hive/Impala, and streaming systems like Kafka or Kinesis. Cloud Infrastructure: Experience deploying data systems on AWS/Azure/GCP. Familiar with cloud data lakes, warehouses (Redshift, BigQuery, Snowflake), and cloud based processing engines (EMR, Dataproc, Glue, Synapse). Comfortable with Linux and shell scripting. Data Governance & Security: Knowledge of data privacy regulations, PII handling, access controls, encryption/masking, and data quality validation. Experience with metadata management or data cataloging tools is a plus. Collaboration & Agile Delivery: Strong communication skills and experience working with cross functional teams. Ability to document designs clearly and deliver iteratively using agile practices.Preferred Skills Advanced Cloud & Data Platform Expertise: Experience with AWS data engineering services, Databricks, and Lakehouse/Delta Lake architectures (including bronze/silver/gold layers). Modern Data Stack: Familiarity with dbt, Great Expectations, containerization (Docker/Kubernetes), and monitoring tools like Grafana or cloud native monitoring. DevOps & CI/CD for Data: Experience implementing CI/CD pipelines for data workflows and using IaC tools like Terraform or CloudFormation. Knowledge of data versioning (e.g., Delta Lake time travel) and supporting continuous delivery for ML systems. Continuous Learning: Motivation to explore emerging technologies, especially in AI and generative AI data workflows. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $122,000 - $207,000 USD
04/02/2026
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead BizOps Engineer We are seeking a Lead Data Engineer to join Mastercard Architecture & Analytics team. You will help shape our innovation roadmap by exploring new technologies and building scalable, data driven prototypes and products. The ideal candidate is hands on, curious, adaptable, and motivated to experiment and learn.What You'll Do Drive Data Architecture: Own the data architecture and modeling strategy for AI projects. Define how data is stored, organized, and accessed. Select technologies, design schemas/formats, and ensure systems support scalable AI and analytics workloads. Build Scalable Data Pipelines: Lead development of robust ETL/ELT workflows and data models. Build pipelines that move large datasets with high reliability and low latency to support training and inference for AI and generative AI systems. Ensure Data Quality & Governance: Oversee data governance and compliance with internal standards and regulations. Implement data anonymization, quality checks, lineage, and controls for handling sensitive information. Provide Technical Leadership: Offer hands on leadership across data engineering projects. Conduct code reviews, enforce best practices, and promote clean, well tested code. Introduce improvements in development processes and tooling. Cross Functional Collaboration: Work closely with engineers, scientists, and product stakeholders. Scope work, manage data deliverables in agile sprints, and ensure timely delivery of data components aligned with project milestones.What You'll Bring Extensive Data Engineering Experience: 8-12+ years in data engineering or backend engineering, including senior/lead roles. Experience designing end to end data systems, solving scale/performance challenges, integrating diverse sources, and operating pipelines in production. Big Data & Cloud Expertise: Strong skills in Python and/or Java/Scala. Deep experience with Spark, Hadoop, Hive/Impala, and Airflow. Hands on work with AWS, Azure, or GCP using cloud native processing and storage services (e.g., S3, Glue, EMR, Data Factory). Ability to design scalable, cost efficient workloads for experimental and variable R&D environments. AI/ML Data Lifecycle Knowledge: Understanding of data needs for machine learning-dataset preparation, feature/label management, and supporting real time or batch training pipelines. Experience with feature stores or streaming data is useful. Leadership & Mentorship: Ability to translate ambiguous goals into clear plans, guide engineers, and lead technical execution. Problem Solving Mindset: Approach issues systematically, using analysis and data to select scalable, maintainable solutions.Required Skills Education & Background: Bachelor's degree in Computer Science, Engineering, or related field. 8-12+ years of proven experience architecting and operating production grade data systems, especially those supporting analytics or ML workloads. Pipeline Development: Expert in ETL/ELT design and implementation, working with diverse data sources, transformations, and targets. Strong experience scheduling and orchestrating pipelines using Airflow or similar tools. Programming & Databases: Advanced Python and/or Scala/Java skills and strong software engineering fundamentals (version control, CI, code reviews). Excellent SQL abilities, including performance tuning on large datasets. Big Data Technologies: Hands on Spark experience (RDDs/DataFrames, optimization). Familiar with Hadoop components (HDFS, YARN), Hive/Impala, and streaming systems like Kafka or Kinesis. Cloud Infrastructure: Experience deploying data systems on AWS/Azure/GCP. Familiar with cloud data lakes, warehouses (Redshift, BigQuery, Snowflake), and cloud based processing engines (EMR, Dataproc, Glue, Synapse). Comfortable with Linux and shell scripting. Data Governance & Security: Knowledge of data privacy regulations, PII handling, access controls, encryption/masking, and data quality validation. Experience with metadata management or data cataloging tools is a plus. Collaboration & Agile Delivery: Strong communication skills and experience working with cross functional teams. Ability to document designs clearly and deliver iteratively using agile practices.Preferred Skills Advanced Cloud & Data Platform Expertise: Experience with AWS data engineering services, Databricks, and Lakehouse/Delta Lake architectures (including bronze/silver/gold layers). Modern Data Stack: Familiarity with dbt, Great Expectations, containerization (Docker/Kubernetes), and monitoring tools like Grafana or cloud native monitoring. DevOps & CI/CD for Data: Experience implementing CI/CD pipelines for data workflows and using IaC tools like Terraform or CloudFormation. Knowledge of data versioning (e.g., Delta Lake time travel) and supporting continuous delivery for ML systems. Continuous Learning: Motivation to explore emerging technologies, especially in AI and generative AI data workflows. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $122,000 - $207,000 USD
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Principal BizOps Engineer We are seeking a Lead Data Engineer to join Mastercard Architecture & Analytics. You will help shape our innovation roadmap by exploring new technologies and building scalable, data driven prototypes and products. The ideal candidate is hands on, curious, adaptable, and motivated to experiment and learn. What You'll Do Drive Data Architecture: Own the data architecture and modeling strategy for AI projects. Define how data is stored, organized, and accessed. Select technologies, design schemas/formats, and ensure systems support scalable AI and analytics workloads. Build Scalable Data Pipelines: Lead development of robust ETL/ELT workflows and data models. Build pipelines that move large datasets with high reliability and low latency to support training and inference for AI and generative AI systems. Ensure Data Quality & Governance: Oversee data governance and compliance with internal standards and regulations. Implement data anonymization, quality checks, lineage, and controls for handling sensitive information. Provide Technical Leadership: Offer hands on leadership across data engineering projects. Conduct code reviews, enforce best practices, and promote clean, well tested code. Introduce improvements in development processes and tooling. Cross Functional Collaboration: Work closely with engineers, scientists, and product stakeholders. Scope work, manage data deliverables in agile sprints, and ensure timely delivery of data components aligned with project milestones.What You'll Bring Extensive Data Engineering Experience: 8-12+ years in data engineering or backend engineering, including senior/lead roles. Experience designing end to end data systems, solving scale/performance challenges, integrating diverse sources, and operating pipelines in production. Big Data & Cloud Expertise: Strong skills in Python and/or Java/Scala. Deep experience with Spark, Hadoop, Hive/Impala, and Airflow. Hands on work with AWS, Azure, or GCP using cloud native processing and storage services (e.g., S3, Glue, EMR, Data Factory). Ability to design scalable, cost efficient workloads for experimental and variable R&D environments. AI/ML Data Lifecycle Knowledge: Understanding of data needs for machine learning-dataset preparation, feature/label management, and supporting real time or batch training pipelines. Experience with feature stores or streaming data is useful. Leadership & Mentorship: Ability to translate ambiguous goals into clear plans, guide engineers, and lead technical execution. Problem Solving Mindset: Approach issues systematically, using analysis and data to select scalable, maintainable solutions.Required Skills Education & Background: Bachelor's degree in Computer Science, Engineering, or related field. 8-12+ years of proven experience architecting and operating production grade data systems, especially those supporting analytics or ML workloads. Pipeline Development: Expert in ETL/ELT design and implementation, working with diverse data sources, transformations, and targets. Strong experience scheduling and orchestrating pipelines using Airflow or similar tools. Programming & Databases: Advanced Python and/or Scala/Java skills and strong software engineering fundamentals (version control, CI, code reviews). Excellent SQL abilities, including performance tuning on large datasets. Big Data Technologies: Hands on Spark experience (RDDs/DataFrames, optimization). Familiar with Hadoop components (HDFS, YARN), Hive/Impala, and streaming systems like Kafka or Kinesis. Cloud Infrastructure: Experience deploying data systems on AWS/Azure/GCP. Familiar with cloud data lakes, warehouses (Redshift, BigQuery, Snowflake), and cloud based processing engines (EMR, Dataproc, Glue, Synapse). Comfortable with Linux and shell scripting. Data Governance & Security: Knowledge of data privacy regulations, PII handling, access controls, encryption/masking, and data quality validation. Experience with metadata management or data cataloging tools is a plus. Collaboration & Agile Delivery: Strong communication skills and experience working with cross functional teams. Ability to document designs clearly and deliver iteratively using agile practices.Preferred Skills Advanced Cloud & Data Platform Expertise: Experience with AWS data engineering services, Databricks, and Lakehouse/Delta Lake architectures (including bronze/silver/gold layers). Modern Data Stack: Familiarity with dbt, Great Expectations, containerization (Docker/Kubernetes), and monitoring tools like Grafana or cloud native monitoring. DevOps & CI/CD for Data: Experience implementing CI/CD pipelines for data workflows and using IaC tools like Terraform or CloudFormation. Knowledge of data versioning (e.g., Delta Lake time travel) and supporting continuous delivery for ML systems. Continuous Learning: Motivation to explore emerging technologies, especially in AI and generative AI data workflows. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $152,000 - $258,000 USD
04/02/2026
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Principal BizOps Engineer We are seeking a Lead Data Engineer to join Mastercard Architecture & Analytics. You will help shape our innovation roadmap by exploring new technologies and building scalable, data driven prototypes and products. The ideal candidate is hands on, curious, adaptable, and motivated to experiment and learn. What You'll Do Drive Data Architecture: Own the data architecture and modeling strategy for AI projects. Define how data is stored, organized, and accessed. Select technologies, design schemas/formats, and ensure systems support scalable AI and analytics workloads. Build Scalable Data Pipelines: Lead development of robust ETL/ELT workflows and data models. Build pipelines that move large datasets with high reliability and low latency to support training and inference for AI and generative AI systems. Ensure Data Quality & Governance: Oversee data governance and compliance with internal standards and regulations. Implement data anonymization, quality checks, lineage, and controls for handling sensitive information. Provide Technical Leadership: Offer hands on leadership across data engineering projects. Conduct code reviews, enforce best practices, and promote clean, well tested code. Introduce improvements in development processes and tooling. Cross Functional Collaboration: Work closely with engineers, scientists, and product stakeholders. Scope work, manage data deliverables in agile sprints, and ensure timely delivery of data components aligned with project milestones.What You'll Bring Extensive Data Engineering Experience: 8-12+ years in data engineering or backend engineering, including senior/lead roles. Experience designing end to end data systems, solving scale/performance challenges, integrating diverse sources, and operating pipelines in production. Big Data & Cloud Expertise: Strong skills in Python and/or Java/Scala. Deep experience with Spark, Hadoop, Hive/Impala, and Airflow. Hands on work with AWS, Azure, or GCP using cloud native processing and storage services (e.g., S3, Glue, EMR, Data Factory). Ability to design scalable, cost efficient workloads for experimental and variable R&D environments. AI/ML Data Lifecycle Knowledge: Understanding of data needs for machine learning-dataset preparation, feature/label management, and supporting real time or batch training pipelines. Experience with feature stores or streaming data is useful. Leadership & Mentorship: Ability to translate ambiguous goals into clear plans, guide engineers, and lead technical execution. Problem Solving Mindset: Approach issues systematically, using analysis and data to select scalable, maintainable solutions.Required Skills Education & Background: Bachelor's degree in Computer Science, Engineering, or related field. 8-12+ years of proven experience architecting and operating production grade data systems, especially those supporting analytics or ML workloads. Pipeline Development: Expert in ETL/ELT design and implementation, working with diverse data sources, transformations, and targets. Strong experience scheduling and orchestrating pipelines using Airflow or similar tools. Programming & Databases: Advanced Python and/or Scala/Java skills and strong software engineering fundamentals (version control, CI, code reviews). Excellent SQL abilities, including performance tuning on large datasets. Big Data Technologies: Hands on Spark experience (RDDs/DataFrames, optimization). Familiar with Hadoop components (HDFS, YARN), Hive/Impala, and streaming systems like Kafka or Kinesis. Cloud Infrastructure: Experience deploying data systems on AWS/Azure/GCP. Familiar with cloud data lakes, warehouses (Redshift, BigQuery, Snowflake), and cloud based processing engines (EMR, Dataproc, Glue, Synapse). Comfortable with Linux and shell scripting. Data Governance & Security: Knowledge of data privacy regulations, PII handling, access controls, encryption/masking, and data quality validation. Experience with metadata management or data cataloging tools is a plus. Collaboration & Agile Delivery: Strong communication skills and experience working with cross functional teams. Ability to document designs clearly and deliver iteratively using agile practices.Preferred Skills Advanced Cloud & Data Platform Expertise: Experience with AWS data engineering services, Databricks, and Lakehouse/Delta Lake architectures (including bronze/silver/gold layers). Modern Data Stack: Familiarity with dbt, Great Expectations, containerization (Docker/Kubernetes), and monitoring tools like Grafana or cloud native monitoring. DevOps & CI/CD for Data: Experience implementing CI/CD pipelines for data workflows and using IaC tools like Terraform or CloudFormation. Knowledge of data versioning (e.g., Delta Lake time travel) and supporting continuous delivery for ML systems. Continuous Learning: Motivation to explore emerging technologies, especially in AI and generative AI data workflows. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $152,000 - $258,000 USD
National Radio Astronomy Observatory
Charlottesville, Virginia
National Radio Astronomy Observatory Title: Scientific Data Analyst I Location: NRAO Headquarters, 520 Edgemont Rd, CHARLOTTESVILLE, Virginia, United States of America Requisition Number: 172 Job Family: Scientific Data Analyst Pay Type: Hourly Required Education: NET Position Description: The NRAO enables forefront research into the Universe at radio wavelengths. In partnership with the scientific community, we provide world leading telescopes, instrumentation and expertise. Additionally, we promote astronomy to foster a more scientifically literate society and train the next generation of scientists and engineers. The Atacama Large Millimeter/Submillimeter Array (ALMA) is the most powerful (sub)millimeter interferometer ever constructed and is transforming our understanding of topics ranging from the formation of nearby protoplanetary disks to the earliest epochs of galaxy formation. The National Radio Astronomy Observatory (NRAO) is seeking an enthusiastic Scientific Data Analyst (I). The primary goal of the Scientific Data Analyst (I) will be to provide assistance to observatory users by reducing data and assessing data quality, operating a data reduction pipeline, answering questions in the online helpdesk system, assisting with observing script preparation, testing observatory software, and contributing to the data delivery process. The position is assigned to the North American ALMA Science Center (NAASC). The North American ALMA Science Center is located at NRAO headquarters in Charlottesville, VA (on the grounds of the University of Virginia). The Data Analyst will work closely with members of observatory support groups and data services groups at all NRAO locations. The location for the position will be based at in Charlottesville, VA USA. A domestic remote work arrangement is not applicable for this position but limited teleworking might be possible. The successful applicant should have at least a basic understanding of astronomy. Knowledge of radio and/or millimeter astronomy and experience with radio telescope observations is desired but not required. Training will be provided for all job duties. ESSENTIAL DUTIES AND RESPONSIBILITIES Assists Observatory users by reducing data and assessing data quality, operating a data reduction pipeline, and testing ALMA software and data products. Responds, refers, and follows up on routine data analyst requests submitted through the helpdesk. Assists visiting scientists in data reduction, data analysis, and archive access, through one-on-one support (helpdesk and face-to-face visits) and group training activities (schools and tutorials). Maintains a working knowledge of all relevant user software for NRAO instruments, including those used for proposal submission, observation preparation, and especially post-processing data reduction. Ensures appropriate and timely responses to helpdesk user queries by responding to a query, forwarding to another expert as appropriate, following up on open queries, etc. Assists in the generation and editing of CASA Guides and helpdesk knowledgebase articles. Participates in scientific testing of software and procedures for user support and/or telescope operations. Maintains relevant web page content and other documentation to ensure information for users stays current. Pro-active compliance with Observatory and government safety policies and procedures in own work area is expected. Other duties as assigned. Work Environment: Work is typically performed in an office environment. Will be required to sit for long periods of time and operate a personal computer. Who You Are: You have a bachelor's degree in Astronomy, Physics or related field. You have the following competencies: Strong communication skills (written and verbal) Ability to remain calm while supporting demanding clients Analytical thinker Strong attention to detail Able to learn new systems quickly Ability to use computers with M/S Windows, MacOS, and Linux operating systems Although not required, you may have experience in: Python experience or development in another programming language. Experience working with large data sets, potentially using machine learning techniques. Experience working with radio astronomical data products and/or operating ratio telescopes is preferred. Experience with CASA data reduction software is desirable. Experience with other data reduction software (e.g. AIPS, MIRIAD) is welcomed. Additional Requirement: Observatory employees must be authorized to work in the United States. The Observatory presently cannot sponsor H-1B Visas for this position. Total Rewards: Associated Universities Inc. (AUI) offers a comprehensive total rewards package for this position, subject to eligibility requirements. We are committed to serving our employees and their families with an extensive and competitive compensation and benefits package that supports our employees' overall well-being and career growth. Compensation: AUI strives to attract and retain dedicated, highly qualified, competent, and motivated employees by offering competitive compensation and recognition for performance. Factors which may affect starting pay and level may include education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. Benefits: AUI's benefits package addresses the needs of employees and their families with most benefits beginning on the first day of employment. AUI provides excellent paid time off (13 holidays, annual accrual of up to 24 vacation days and 15 sick days, additional time off for doctor/dentist visits, and 8 weeks of paid parental leave). Medical, dental and vision plans are effective on the first day of employment. AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution; we also offer an optional supplemental, tax-deferred plan for employee retirement contributions. Application Instructions: Select the "Apply Now" button. Please be prepared to upload your current resume and a cover letter of interest and suitability for the position. Equal Opportunity Employer Statement: Associated Universities, Inc. (AUI) is an equal opportunity employer. To view our complete statement, please visit . If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to . PM20 PI56f2f84b5-
04/01/2026
Full time
National Radio Astronomy Observatory Title: Scientific Data Analyst I Location: NRAO Headquarters, 520 Edgemont Rd, CHARLOTTESVILLE, Virginia, United States of America Requisition Number: 172 Job Family: Scientific Data Analyst Pay Type: Hourly Required Education: NET Position Description: The NRAO enables forefront research into the Universe at radio wavelengths. In partnership with the scientific community, we provide world leading telescopes, instrumentation and expertise. Additionally, we promote astronomy to foster a more scientifically literate society and train the next generation of scientists and engineers. The Atacama Large Millimeter/Submillimeter Array (ALMA) is the most powerful (sub)millimeter interferometer ever constructed and is transforming our understanding of topics ranging from the formation of nearby protoplanetary disks to the earliest epochs of galaxy formation. The National Radio Astronomy Observatory (NRAO) is seeking an enthusiastic Scientific Data Analyst (I). The primary goal of the Scientific Data Analyst (I) will be to provide assistance to observatory users by reducing data and assessing data quality, operating a data reduction pipeline, answering questions in the online helpdesk system, assisting with observing script preparation, testing observatory software, and contributing to the data delivery process. The position is assigned to the North American ALMA Science Center (NAASC). The North American ALMA Science Center is located at NRAO headquarters in Charlottesville, VA (on the grounds of the University of Virginia). The Data Analyst will work closely with members of observatory support groups and data services groups at all NRAO locations. The location for the position will be based at in Charlottesville, VA USA. A domestic remote work arrangement is not applicable for this position but limited teleworking might be possible. The successful applicant should have at least a basic understanding of astronomy. Knowledge of radio and/or millimeter astronomy and experience with radio telescope observations is desired but not required. Training will be provided for all job duties. ESSENTIAL DUTIES AND RESPONSIBILITIES Assists Observatory users by reducing data and assessing data quality, operating a data reduction pipeline, and testing ALMA software and data products. Responds, refers, and follows up on routine data analyst requests submitted through the helpdesk. Assists visiting scientists in data reduction, data analysis, and archive access, through one-on-one support (helpdesk and face-to-face visits) and group training activities (schools and tutorials). Maintains a working knowledge of all relevant user software for NRAO instruments, including those used for proposal submission, observation preparation, and especially post-processing data reduction. Ensures appropriate and timely responses to helpdesk user queries by responding to a query, forwarding to another expert as appropriate, following up on open queries, etc. Assists in the generation and editing of CASA Guides and helpdesk knowledgebase articles. Participates in scientific testing of software and procedures for user support and/or telescope operations. Maintains relevant web page content and other documentation to ensure information for users stays current. Pro-active compliance with Observatory and government safety policies and procedures in own work area is expected. Other duties as assigned. Work Environment: Work is typically performed in an office environment. Will be required to sit for long periods of time and operate a personal computer. Who You Are: You have a bachelor's degree in Astronomy, Physics or related field. You have the following competencies: Strong communication skills (written and verbal) Ability to remain calm while supporting demanding clients Analytical thinker Strong attention to detail Able to learn new systems quickly Ability to use computers with M/S Windows, MacOS, and Linux operating systems Although not required, you may have experience in: Python experience or development in another programming language. Experience working with large data sets, potentially using machine learning techniques. Experience working with radio astronomical data products and/or operating ratio telescopes is preferred. Experience with CASA data reduction software is desirable. Experience with other data reduction software (e.g. AIPS, MIRIAD) is welcomed. Additional Requirement: Observatory employees must be authorized to work in the United States. The Observatory presently cannot sponsor H-1B Visas for this position. Total Rewards: Associated Universities Inc. (AUI) offers a comprehensive total rewards package for this position, subject to eligibility requirements. We are committed to serving our employees and their families with an extensive and competitive compensation and benefits package that supports our employees' overall well-being and career growth. Compensation: AUI strives to attract and retain dedicated, highly qualified, competent, and motivated employees by offering competitive compensation and recognition for performance. Factors which may affect starting pay and level may include education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. Benefits: AUI's benefits package addresses the needs of employees and their families with most benefits beginning on the first day of employment. AUI provides excellent paid time off (13 holidays, annual accrual of up to 24 vacation days and 15 sick days, additional time off for doctor/dentist visits, and 8 weeks of paid parental leave). Medical, dental and vision plans are effective on the first day of employment. AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution; we also offer an optional supplemental, tax-deferred plan for employee retirement contributions. Application Instructions: Select the "Apply Now" button. Please be prepared to upload your current resume and a cover letter of interest and suitability for the position. Equal Opportunity Employer Statement: Associated Universities, Inc. (AUI) is an equal opportunity employer. To view our complete statement, please visit . If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to . PM20 PI56f2f84b5-
Please read all the requirements listed below. This post will be taken down once we have received the first 100 qualified applications. EarthScope Consortium Inc. is not able to sponsor applicants for work authorization within the United States. EarthScope Consortium is only able to hire employees working inside the 50 U.S. States. To be considered, applicants must reside and work within the 50 U.S. States. Job Title: Educational Technologist I Reports to: Engagement Program Manager Employment/FLSA Status: Full-Time/Exempt Remote Eligible: Yes, National United States Travel Requirements: Up to 20% Salary Range: $60,000 - $70,000 (depending on experience, skills, and qualifications relative to the job requirements) Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 403(b) Plan with Company Match Life Insurance PTO, Paid Holidays Position Summary The Educational Technologist I serves as a critical bridge between the organization's Engagement and Data Science groups. This role focuses on integrating technology into education initiatives and ensuring data science best practices are followed. As part of a remote-first organization, this professional collaborates virtually with staff with a variety of backgrounds. This position plays a vital role in ensuring that educational programs are enriched with advanced data science while maintaining accessibility and engagement. Details of Responsibilities General Essential Job Duties: Under direct supervision, design, develop, and implement technology-based solutions that bridge pedagogical best practices with data science methodologies in remote learning environments Translate complex data science and geophysical concepts into accessible educational materials for diverse audiences in virtual settings Maintain e-learning tools, with a strong emphasis on interactive data analysis and coding (e.g. Jupyter Notebooks), to support educational initiatives Support accessibility standards and ensure all tools meet organizational policies and legal requirements Collaborate with geoscience educators, data scientists, researchers, and instructional designers to create engaging virtual learning environments. Stay informed of updates in both educational methodologies and data science techniques, with special attention to remote and asynchronous learning approaches Other duties may be assigned as necessary for the successful operation of the business. Specialized Essential Job Duties: Maintain educational modules for geophysical data processing and analysis in cloud-based environments using current programming and technology such as Python, R, and others. Participate in leading virtual workshops and training sessions Maintain training materials for geophysical data analysis tools, cloud computing platforms, and scientific workflows optimized for accessibility, usability, and engagement in both synchronous and asynchronous contexts Maintain documentation of training materials Leadership and Supervisory Responsibilities: This position does not have supervisory responsibility. Qualifications Minimum Education & Experience Requirements: Bachelor's degree in geophysics, earth sciences, computer science, data science, educational technology, or a closely related field 2+ years of combined experience in: Data science, computational geophysics, or similar technical field or educational technology Preferred Skills: Master's degree in geophysics, earth sciences, computer science, data science, educational technology, or a closely related field Certifications in cloud technologies from cloud providers including Amazon Web Services, Google Cloud Platform, and Microsoft Azure. Experience with cloud-based notebook environments for educational applications Experience with cloud computing platforms (AWS, Google Cloud, Azure) for scientific data processing Experience integrating computational tools into learning environments Experience working with geophysical data types (seismic, electromagnetic, gravity, magnetic, etc.) Demonstrated proficiency in programming languages commonly used for data analysis, statistical computing, machine learning, and scientific research (e.g. Python, R) programming Demonstrated experience working at the intersection of pedagogy and data science. Assignment-specific Position Summary Positions in Engagement Services will include job specific addenda that specify assignment-specific duties, knowledge, skills and abilities pertinent to the position. This is in addition to the general Position Description requirements associated with the job title. Assignment-specific Essential Duties: Manage the plan for managing digital educational resources balancing brand awareness, ability to get data analytics and user functionality. Manage the development of tools to enable the learning of geophysics and the use of facility data in instruction including: The development of no-code/low-code interactive simulations and notebooks, Webtools to deliver data to educators and students Contribute to the Data Science and Computing Academy. Serve as the product owner of Earthscope's learning management system including: Create and maintain information for users of Moodle to facilitate usage Identify needed functionality or plug-ins for Moodle to improve user experience Ensure metrics/usage data are collected for courses offered in GeoLab and Moodle Other duties may be assigned as necessary for the successful operation of the business. Assignment-specific Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Expert user of Google suite of tools Knowledge of learning theory and instructional design principles Knowledge of Universal Design for Learning (UDL) Familiarity with emerging educational technologies Knowledge of learning management systems for course design and analytics. Abilities to use data analytics to assess learner engagement, track performance, and inform instructional decisions. Knowledge of cybersecurity and digital ethics. Ability to work collaboratively with data scientists and software engineers in Data Services. Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Exceptional organizational and time management skills. Ability to work in a team-oriented environment with diverse members and different communication styles Ability to organize and prioritize work. Ability to communicate effectively with different audiences Ability to exercise independent judgment and interact effectively with internal and external partners Other Requirements: Appropriate availability consistent with EarthScope established practices and norms; hours may exceed 40 hours per week, particularly when traveling. Ability to occasionally travel (1-4 times per year) to in-person team gatherings, conferences, field sites, or partner institutions Environment Physical Setting and Requirements: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. PHYSICAL DEMANDS AND WORK ENVIRONMENT : Occasionally required to stand. Occasionally required to walk. Frequently required to sit. Continually required to utilize hand and finger dexterity. Occasionally required to talk and/or hear. While performing the duties of this job, the noise level in the work environment is usually quiet. Occasionally required to lift and /or move more than 25 pounds. Specific vision abilities required by this job include close vision and ability to adjust focus. Acknowledgment This job description is designed to provide a general overview of the requirements of the job and does not entail a comprehensive listing of all activities, duties or responsibilities that will be required. The EarthScope Consortium reserves the right to add to, remove or modify this job description at any time. This includes the right to assign or reassign duties and responsibilities as needed. The EarthScope Consortium also reserves the right to release or eliminate this position at any time. Equal Opportunity It is the policy of EarthScope Consortium not to discriminate against any applicant for employment, or any employee based on the criteria outlined in Title VI and Title VII of the Civil Rights Act of 1964. . click apply for full job details
04/01/2026
Full time
Please read all the requirements listed below. This post will be taken down once we have received the first 100 qualified applications. EarthScope Consortium Inc. is not able to sponsor applicants for work authorization within the United States. EarthScope Consortium is only able to hire employees working inside the 50 U.S. States. To be considered, applicants must reside and work within the 50 U.S. States. Job Title: Educational Technologist I Reports to: Engagement Program Manager Employment/FLSA Status: Full-Time/Exempt Remote Eligible: Yes, National United States Travel Requirements: Up to 20% Salary Range: $60,000 - $70,000 (depending on experience, skills, and qualifications relative to the job requirements) Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 403(b) Plan with Company Match Life Insurance PTO, Paid Holidays Position Summary The Educational Technologist I serves as a critical bridge between the organization's Engagement and Data Science groups. This role focuses on integrating technology into education initiatives and ensuring data science best practices are followed. As part of a remote-first organization, this professional collaborates virtually with staff with a variety of backgrounds. This position plays a vital role in ensuring that educational programs are enriched with advanced data science while maintaining accessibility and engagement. Details of Responsibilities General Essential Job Duties: Under direct supervision, design, develop, and implement technology-based solutions that bridge pedagogical best practices with data science methodologies in remote learning environments Translate complex data science and geophysical concepts into accessible educational materials for diverse audiences in virtual settings Maintain e-learning tools, with a strong emphasis on interactive data analysis and coding (e.g. Jupyter Notebooks), to support educational initiatives Support accessibility standards and ensure all tools meet organizational policies and legal requirements Collaborate with geoscience educators, data scientists, researchers, and instructional designers to create engaging virtual learning environments. Stay informed of updates in both educational methodologies and data science techniques, with special attention to remote and asynchronous learning approaches Other duties may be assigned as necessary for the successful operation of the business. Specialized Essential Job Duties: Maintain educational modules for geophysical data processing and analysis in cloud-based environments using current programming and technology such as Python, R, and others. Participate in leading virtual workshops and training sessions Maintain training materials for geophysical data analysis tools, cloud computing platforms, and scientific workflows optimized for accessibility, usability, and engagement in both synchronous and asynchronous contexts Maintain documentation of training materials Leadership and Supervisory Responsibilities: This position does not have supervisory responsibility. Qualifications Minimum Education & Experience Requirements: Bachelor's degree in geophysics, earth sciences, computer science, data science, educational technology, or a closely related field 2+ years of combined experience in: Data science, computational geophysics, or similar technical field or educational technology Preferred Skills: Master's degree in geophysics, earth sciences, computer science, data science, educational technology, or a closely related field Certifications in cloud technologies from cloud providers including Amazon Web Services, Google Cloud Platform, and Microsoft Azure. Experience with cloud-based notebook environments for educational applications Experience with cloud computing platforms (AWS, Google Cloud, Azure) for scientific data processing Experience integrating computational tools into learning environments Experience working with geophysical data types (seismic, electromagnetic, gravity, magnetic, etc.) Demonstrated proficiency in programming languages commonly used for data analysis, statistical computing, machine learning, and scientific research (e.g. Python, R) programming Demonstrated experience working at the intersection of pedagogy and data science. Assignment-specific Position Summary Positions in Engagement Services will include job specific addenda that specify assignment-specific duties, knowledge, skills and abilities pertinent to the position. This is in addition to the general Position Description requirements associated with the job title. Assignment-specific Essential Duties: Manage the plan for managing digital educational resources balancing brand awareness, ability to get data analytics and user functionality. Manage the development of tools to enable the learning of geophysics and the use of facility data in instruction including: The development of no-code/low-code interactive simulations and notebooks, Webtools to deliver data to educators and students Contribute to the Data Science and Computing Academy. Serve as the product owner of Earthscope's learning management system including: Create and maintain information for users of Moodle to facilitate usage Identify needed functionality or plug-ins for Moodle to improve user experience Ensure metrics/usage data are collected for courses offered in GeoLab and Moodle Other duties may be assigned as necessary for the successful operation of the business. Assignment-specific Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Expert user of Google suite of tools Knowledge of learning theory and instructional design principles Knowledge of Universal Design for Learning (UDL) Familiarity with emerging educational technologies Knowledge of learning management systems for course design and analytics. Abilities to use data analytics to assess learner engagement, track performance, and inform instructional decisions. Knowledge of cybersecurity and digital ethics. Ability to work collaboratively with data scientists and software engineers in Data Services. Knowledge, Skills, & Abilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability for the position: Exceptional organizational and time management skills. Ability to work in a team-oriented environment with diverse members and different communication styles Ability to organize and prioritize work. Ability to communicate effectively with different audiences Ability to exercise independent judgment and interact effectively with internal and external partners Other Requirements: Appropriate availability consistent with EarthScope established practices and norms; hours may exceed 40 hours per week, particularly when traveling. Ability to occasionally travel (1-4 times per year) to in-person team gatherings, conferences, field sites, or partner institutions Environment Physical Setting and Requirements: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. PHYSICAL DEMANDS AND WORK ENVIRONMENT : Occasionally required to stand. Occasionally required to walk. Frequently required to sit. Continually required to utilize hand and finger dexterity. Occasionally required to talk and/or hear. While performing the duties of this job, the noise level in the work environment is usually quiet. Occasionally required to lift and /or move more than 25 pounds. Specific vision abilities required by this job include close vision and ability to adjust focus. Acknowledgment This job description is designed to provide a general overview of the requirements of the job and does not entail a comprehensive listing of all activities, duties or responsibilities that will be required. The EarthScope Consortium reserves the right to add to, remove or modify this job description at any time. This includes the right to assign or reassign duties and responsibilities as needed. The EarthScope Consortium also reserves the right to release or eliminate this position at any time. Equal Opportunity It is the policy of EarthScope Consortium not to discriminate against any applicant for employment, or any employee based on the criteria outlined in Title VI and Title VII of the Civil Rights Act of 1964. . click apply for full job details
Software Imaging Intern US-CA-Irvine Job ID: 34091 Type: Full-Time # of Openings: 1 Category: Intern/Trainee CUSA Western Regional Office About the Role 2026 Canon Insights Summer Internship Canon, U. S. A., Inc. is currently hiring for our 2026 Canon Insights Internship Program. The program will be held from Monday, June 1, 2026 - Wednesday, August 5, 2026. Canon is an innovative global digital imaging leader that uses technology to dissolve the barriers we face in the connections we build, the experiences we create, and even the lives we live. We are looking for passionate and experienced students to join the Canon USA team. This is a paid summer 10-12 week internship for a robust experience based in our Irvine, CA. What You'll Do: You will have the opportunity to gain hands-on work experience by participating in significant work projects that help you learn, develop business skills, and provide a meaningful contribution to Canon's business and goals. You will be exposed to world-class teams and our business, marketing, and strategy initiatives through training, meetings, presentations, and other planned activities. You'll gain marketable skills and knowledge that you'll need in transitioning into the workforce. You'll come to the office 3 days a week and 2 days with the option to work from home (unless a specific business need arises requiring in-office attendance on other days). This position offers a hybrid work schedule on full-time (9 AM - 5 PM) schedule based on a 35-hour work week. Note that work schedules and office reporting requirements may change from time to time based on business needs. Perks & Benefits: A beautiful facility in Irvine, CA. Free coffee. "Dress for Your Day" attire program - Casual dress, including jeans is permitted! A dedicated peer buddy who will serve as a mentor during your internship experience. Learning and professional development opportunities. Opportunity to network with top-level Canon business leaders. A chance to be featured on Canon's social media sites. Swag! A Canon welcome kit and official merch you can't get anywhere else. Award-Winning Culture: Canon has a unique culture and is committed to our core values of integrity, mutual respect, fairness, and communication. Our corporate philosophy is Kyosei - which we define as "all people, regardless of race, religion, or culture, harmoniously living and working together into the future." This is reflected in our welcoming, respectful, and family-oriented atmosphere with a strong focus on diversity & inclusion, work-life balance, and community and environmental initiatives Your Impact The 2026 Canon Insights Summer Internship - Intern will be responsible for the following: This program is designed to provide undergraduate students with an opportunity to gain hands-on work experience by participating in significant work projects, training, meetings, presentations and activities. Investigate the feasibility of applying a wide variety of scientific principles and concepts to potential inventions, products and problems. Focus on creating and designing models for software solutions. Plan and execute applied research. Carry out research and development in one or more of the following areas: Computer Vision Applications 3D computer vision, Lighting condition analysis, Image and video analysis and understanding Machine learning Contribute to Canon's intellectual property portfolio Work with research team on investigations, software products, and software prototypes About You: The Skills & Expertise You Bring An enrolled undergraduate student who is currently a junior and entering their senior year as of Summer 2026, pursuing a Bachelor's degree aligned with the department of interest. A strong communicator-both written and verbal-with advanced proficiency in Google Workspace (Sheets, Docs, Slides, Chat, Calendar and Drive). Brings the ability to thrive as a collaborative team player while also working independently with confidence and enthusiasm. Undergraduate and graduate student in Computer Science, Engineering, or related field. Strong mathematical background and ability to apply it to new problems Working experience in Python, and/or Matlab Experience with libraries such as OpenCV and PyTorch The ability to work in a highly collaborative, fast moving, multi-cultural environment We are providing the anticipated rate for this role: $25.00 - $40.00 hourly. Company Overview About our Company - Canon U.S.A., Inc., is a leading provider of consumer, business-to-business, and industrial digital imaging solutions to the United States and to Latin America and the Caribbean markets. With approximately $28.5 billion in global revenue, its parent company, Canon Inc., as of 2024 has ranked in the top-10 for U.S. patents granted for 41 consecutive years. Canon U.S.A. is dedicated to its Kyosei philosophy of social and environmental responsibility. To learn more about Canon, visit us at and connect with us on LinkedIn at Who We Are Where Talent Fosters Innovation. Do you want your next professional experience to be filled with purpose and opportunity, world-class team members, and impactful work? Driven by our mission of exceeding customer expectations with our technologies and enriching the lives of our local communities and staff, we are a phenomenal team working collaboratively toward common goals. Our employees have a strong work ethic, creativity, and a cooperative spirit. We believe in integrity, respect, empowerment, and making a difference in the communities we serve. There is a strong sense of pride in what we do individually and together as a team. Join us and discover what it means to work for a global digital imaging leader with an unparalleled reputation for quality and innovation. What We Offer Youll be joining a leader in digital imaging and innovation with an immense opportunity to make an impact and create your own rewarding career. We demonstrate commitment to our employees by offering a full range of rewards, including competitive compensation and benefits. And Even More Perks! -Employee referral bonus -Employee discounts -Dress for Your Day attire program (casual is welcome, based on your job function) -Volunteer opportunities to give back to our local community -Swag! A Canon welcome kit and official merch you cant get anywhere else Based on weekly patent counts issued by United States Patent and Trademark Office. All referenced product names, and other marks, are trademarks of their respective owners. Canon U.S.A., Inc. offers a competitive compensation package including medical, dental, vision, 401(k) Savings Plan, discretionary profit sharing, discretionary success sharing, educational assistance, recognition programs, vacation, and much more. A more comprehensive list of what we have to offer is available at We comply with all applicable federal, state and local laws, regulations, orders and mandates, including those we may be required to follow as a federal government contractor/subcontractor. You must be legally authorized to work in the United States. The Company will not pursue or support visa sponsorship. All applicants must reside in the United States at the time of hire. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are not reviewing this job posting on our Careers site , we cannot guarantee the validity of this posting. For a list of our current postings, please visit us at Posting Tags PIae82fca0b5-
04/01/2026
Full time
Software Imaging Intern US-CA-Irvine Job ID: 34091 Type: Full-Time # of Openings: 1 Category: Intern/Trainee CUSA Western Regional Office About the Role 2026 Canon Insights Summer Internship Canon, U. S. A., Inc. is currently hiring for our 2026 Canon Insights Internship Program. The program will be held from Monday, June 1, 2026 - Wednesday, August 5, 2026. Canon is an innovative global digital imaging leader that uses technology to dissolve the barriers we face in the connections we build, the experiences we create, and even the lives we live. We are looking for passionate and experienced students to join the Canon USA team. This is a paid summer 10-12 week internship for a robust experience based in our Irvine, CA. What You'll Do: You will have the opportunity to gain hands-on work experience by participating in significant work projects that help you learn, develop business skills, and provide a meaningful contribution to Canon's business and goals. You will be exposed to world-class teams and our business, marketing, and strategy initiatives through training, meetings, presentations, and other planned activities. You'll gain marketable skills and knowledge that you'll need in transitioning into the workforce. You'll come to the office 3 days a week and 2 days with the option to work from home (unless a specific business need arises requiring in-office attendance on other days). This position offers a hybrid work schedule on full-time (9 AM - 5 PM) schedule based on a 35-hour work week. Note that work schedules and office reporting requirements may change from time to time based on business needs. Perks & Benefits: A beautiful facility in Irvine, CA. Free coffee. "Dress for Your Day" attire program - Casual dress, including jeans is permitted! A dedicated peer buddy who will serve as a mentor during your internship experience. Learning and professional development opportunities. Opportunity to network with top-level Canon business leaders. A chance to be featured on Canon's social media sites. Swag! A Canon welcome kit and official merch you can't get anywhere else. Award-Winning Culture: Canon has a unique culture and is committed to our core values of integrity, mutual respect, fairness, and communication. Our corporate philosophy is Kyosei - which we define as "all people, regardless of race, religion, or culture, harmoniously living and working together into the future." This is reflected in our welcoming, respectful, and family-oriented atmosphere with a strong focus on diversity & inclusion, work-life balance, and community and environmental initiatives Your Impact The 2026 Canon Insights Summer Internship - Intern will be responsible for the following: This program is designed to provide undergraduate students with an opportunity to gain hands-on work experience by participating in significant work projects, training, meetings, presentations and activities. Investigate the feasibility of applying a wide variety of scientific principles and concepts to potential inventions, products and problems. Focus on creating and designing models for software solutions. Plan and execute applied research. Carry out research and development in one or more of the following areas: Computer Vision Applications 3D computer vision, Lighting condition analysis, Image and video analysis and understanding Machine learning Contribute to Canon's intellectual property portfolio Work with research team on investigations, software products, and software prototypes About You: The Skills & Expertise You Bring An enrolled undergraduate student who is currently a junior and entering their senior year as of Summer 2026, pursuing a Bachelor's degree aligned with the department of interest. A strong communicator-both written and verbal-with advanced proficiency in Google Workspace (Sheets, Docs, Slides, Chat, Calendar and Drive). Brings the ability to thrive as a collaborative team player while also working independently with confidence and enthusiasm. Undergraduate and graduate student in Computer Science, Engineering, or related field. Strong mathematical background and ability to apply it to new problems Working experience in Python, and/or Matlab Experience with libraries such as OpenCV and PyTorch The ability to work in a highly collaborative, fast moving, multi-cultural environment We are providing the anticipated rate for this role: $25.00 - $40.00 hourly. Company Overview About our Company - Canon U.S.A., Inc., is a leading provider of consumer, business-to-business, and industrial digital imaging solutions to the United States and to Latin America and the Caribbean markets. With approximately $28.5 billion in global revenue, its parent company, Canon Inc., as of 2024 has ranked in the top-10 for U.S. patents granted for 41 consecutive years. Canon U.S.A. is dedicated to its Kyosei philosophy of social and environmental responsibility. To learn more about Canon, visit us at and connect with us on LinkedIn at Who We Are Where Talent Fosters Innovation. Do you want your next professional experience to be filled with purpose and opportunity, world-class team members, and impactful work? Driven by our mission of exceeding customer expectations with our technologies and enriching the lives of our local communities and staff, we are a phenomenal team working collaboratively toward common goals. Our employees have a strong work ethic, creativity, and a cooperative spirit. We believe in integrity, respect, empowerment, and making a difference in the communities we serve. There is a strong sense of pride in what we do individually and together as a team. Join us and discover what it means to work for a global digital imaging leader with an unparalleled reputation for quality and innovation. What We Offer Youll be joining a leader in digital imaging and innovation with an immense opportunity to make an impact and create your own rewarding career. We demonstrate commitment to our employees by offering a full range of rewards, including competitive compensation and benefits. And Even More Perks! -Employee referral bonus -Employee discounts -Dress for Your Day attire program (casual is welcome, based on your job function) -Volunteer opportunities to give back to our local community -Swag! A Canon welcome kit and official merch you cant get anywhere else Based on weekly patent counts issued by United States Patent and Trademark Office. All referenced product names, and other marks, are trademarks of their respective owners. Canon U.S.A., Inc. offers a competitive compensation package including medical, dental, vision, 401(k) Savings Plan, discretionary profit sharing, discretionary success sharing, educational assistance, recognition programs, vacation, and much more. A more comprehensive list of what we have to offer is available at We comply with all applicable federal, state and local laws, regulations, orders and mandates, including those we may be required to follow as a federal government contractor/subcontractor. You must be legally authorized to work in the United States. The Company will not pursue or support visa sponsorship. All applicants must reside in the United States at the time of hire. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are not reviewing this job posting on our Careers site , we cannot guarantee the validity of this posting. For a list of our current postings, please visit us at Posting Tags PIae82fca0b5-
"Ghosted by companies and/or Failing Interviews?-Start getting offers" For jobseekers who get interviews but don't convert them into offers Rejections can be discouraging, but they don't reflect your true potential - they reflect your preparation. If you're getting interviews but not offers, you're closer than you think-yet that final gap can feel brutal. Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds. The result is painful: "almost hired" over and over again, while the confidence drops. The truth is that interviewing is its own skill, and most bootcamps don't teach it deeply. They teach how to code-but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer. Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers. The best way to understand this: you can be smart and still fail interviews if you don't know what the interview is truly measuring. Interviews rarely test "can you write code at home." They test: Can you solve problems under constraints and time pressure? Can you communicate your approach clearly? Can you handle edge cases and complexity? Can you explain trade-offs and design choices? Can you show job-ready project depth, not just toy examples? SynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers. The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for. If your pattern is "I reach interviews but don't clear them," you likely need three upgrades: Stronger project narratives (what you built, why it matters, how it works) Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design) Mock interview reps (realistic simulation, feedback, improvement loops) Many jobseekers underestimate how much hiring is about clarity. You don't need to be perfect-you need to show you can think, collaborate, and deliver. That's why guided mock interviews and structured interview coaching can be a game-changer. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT Ideal candidates for this version include: Candidates who get interviews but repeatedly fall short Jobseekers stuck in "screen round limbo" Developers who panic during live coding Candidates who can build projects but struggle to explain them Professionals who haven't interviewed in years and feel rusty Career changers who fear "I'm behind CS grads" (often untrue with support) SynergisticIT provides support for candidates navigating STEM OPT extension, H1B filing, and Green Card processes (where applicable), which can matter when timing is critical. Event videos (OCW, JavaOne, Gartner): USA Today feature If you're tired of failing interviews and want a structured plan to convert interviews into offers, start here: Contact SynergisticIT: Because getting hired isn't about trying harder-it's about preparing smarter, practicing correctly, and having the right guidance. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
04/01/2026
Full time
"Ghosted by companies and/or Failing Interviews?-Start getting offers" For jobseekers who get interviews but don't convert them into offers Rejections can be discouraging, but they don't reflect your true potential - they reflect your preparation. If you're getting interviews but not offers, you're closer than you think-yet that final gap can feel brutal. Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds. The result is painful: "almost hired" over and over again, while the confidence drops. The truth is that interviewing is its own skill, and most bootcamps don't teach it deeply. They teach how to code-but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer. Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers. The best way to understand this: you can be smart and still fail interviews if you don't know what the interview is truly measuring. Interviews rarely test "can you write code at home." They test: Can you solve problems under constraints and time pressure? Can you communicate your approach clearly? Can you handle edge cases and complexity? Can you explain trade-offs and design choices? Can you show job-ready project depth, not just toy examples? SynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers. The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for. If your pattern is "I reach interviews but don't clear them," you likely need three upgrades: Stronger project narratives (what you built, why it matters, how it works) Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design) Mock interview reps (realistic simulation, feedback, improvement loops) Many jobseekers underestimate how much hiring is about clarity. You don't need to be perfect-you need to show you can think, collaborate, and deliver. That's why guided mock interviews and structured interview coaching can be a game-changer. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT Ideal candidates for this version include: Candidates who get interviews but repeatedly fall short Jobseekers stuck in "screen round limbo" Developers who panic during live coding Candidates who can build projects but struggle to explain them Professionals who haven't interviewed in years and feel rusty Career changers who fear "I'm behind CS grads" (often untrue with support) SynergisticIT provides support for candidates navigating STEM OPT extension, H1B filing, and Green Card processes (where applicable), which can matter when timing is critical. Event videos (OCW, JavaOne, Gartner): USA Today feature If you're tired of failing interviews and want a structured plan to convert interviews into offers, start here: Contact SynergisticIT: Because getting hired isn't about trying harder-it's about preparing smarter, practicing correctly, and having the right guidance. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
Who we are With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system - reinventing warehouse automation for increased efficiency, speed and flexibility. What we need Symbotic is seeking a System Engineer to support the day-to-day reliability, availability, and performance of our automated warehouse systems in a live production environment. This role is hands-on and operational in nature, aligned closely with a Maintenance Engineer or Lead Automation Technician profile. The System Engineer focuses on troubleshooting, maintaining , and stabilizing complex electro-mechanical and automated systems to ensure safe, consistent system uptime. This role is not commissioning-focused, not controls -programming-heavy, and not customer-facing, but instead centered on system health, equipment reliability, and technical execution on site What we do The System Engineer is part of the Customer Operations organization which is responsible for leading the day-to-day operations of Symbotic's robotic material handling system. The Customer Operations organization drives operational excellence by engaging and partnering with our onsite customers to drive best-in-class quality, safety and system performance. What you'll do Monitor and maintain the health of automated systems including conveyors, lifts, robotic vehicles, motors, sensors, and PLC-controlled equipment . Perform advanced electrical, mechanical, and automation troubleshooting to resolve production-impacting issues . Diagnose failures across PLCs (Allen-Bradley), VFDs, AC/DC motors, servo motors, sensors, and control hardware . Support and execute preventive and corrective maintenance activities on automated equipment . Utilize system data, alarms, logs, and dashboards to identify fault conditions and recurring issues . Document maintenance activities, repairs, and findings using CMMS systems (e.g., Maximo) and internal tools . Act as a senior technical escalation point during system disruptions or downtime events . Partner with on-site maintenance, operations, and technical teams to restore and stabilize system performance . Provide technical guidance and on-the-job support to maintenance technicians and operators . Step in to support critical on-site technical functions as needed to maintain operational continuity . Ensure compliance with OSHA, LOTO, electrical safety, and Symbotic safety standards . What you'll need Bachelor's degree in Electrical Engineering , Computer Science, Software Engineering, Automation Engineering, or a related field, or equivalent hands-on experience . Minimum of 1 year of hands-on experience with PLCs, preferably Allen-Bradley, focused on diagnostics and troubleshooting (not heavy programming) . Minimum of 1 year of experien ce with VFDs, including diagnosing speed, torque, and drive-related issues . Minimum of 1 year of experience working with AC and DC motors . Hands-on experience with automated systems such as conveyor systems, conveyor belts, vertical lifts, and motor-driven equipment . Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS, robotics, servo motors, or 480V systems . Working knowledge of SQL, Python, and Linux for diagnostics, log review, and system interaction . Strong hands-on experience assembling, operating , maintaining, and troubleshooting robotics and electro-mechanical systems . Prior experience in maintenance engineering, automation maintenance, or lead maintenance technician roles preferred . Our Environment Work is performed in an active industrial environment with high levels of automation . Ability to work at heights of up to 45 feet and within confined spaces . Ability to lift and/or move up to 50 pounds . Exposure to varying temperatures and production conditions . Must comply with all PPE, LOTO, fall protection, and electrical safety requirements . Ability to work flexible hours, including off-shifts , as needed to support system uptime and recovery . Valid driver's license required . About Symbotic Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world's largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit . We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work - for you and the world. That's why we're proud to be an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information. The base range for this position in the posted location is $71,000.00 - $97,900.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.
04/01/2026
Full time
Who we are With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system - reinventing warehouse automation for increased efficiency, speed and flexibility. What we need Symbotic is seeking a System Engineer to support the day-to-day reliability, availability, and performance of our automated warehouse systems in a live production environment. This role is hands-on and operational in nature, aligned closely with a Maintenance Engineer or Lead Automation Technician profile. The System Engineer focuses on troubleshooting, maintaining , and stabilizing complex electro-mechanical and automated systems to ensure safe, consistent system uptime. This role is not commissioning-focused, not controls -programming-heavy, and not customer-facing, but instead centered on system health, equipment reliability, and technical execution on site What we do The System Engineer is part of the Customer Operations organization which is responsible for leading the day-to-day operations of Symbotic's robotic material handling system. The Customer Operations organization drives operational excellence by engaging and partnering with our onsite customers to drive best-in-class quality, safety and system performance. What you'll do Monitor and maintain the health of automated systems including conveyors, lifts, robotic vehicles, motors, sensors, and PLC-controlled equipment . Perform advanced electrical, mechanical, and automation troubleshooting to resolve production-impacting issues . Diagnose failures across PLCs (Allen-Bradley), VFDs, AC/DC motors, servo motors, sensors, and control hardware . Support and execute preventive and corrective maintenance activities on automated equipment . Utilize system data, alarms, logs, and dashboards to identify fault conditions and recurring issues . Document maintenance activities, repairs, and findings using CMMS systems (e.g., Maximo) and internal tools . Act as a senior technical escalation point during system disruptions or downtime events . Partner with on-site maintenance, operations, and technical teams to restore and stabilize system performance . Provide technical guidance and on-the-job support to maintenance technicians and operators . Step in to support critical on-site technical functions as needed to maintain operational continuity . Ensure compliance with OSHA, LOTO, electrical safety, and Symbotic safety standards . What you'll need Bachelor's degree in Electrical Engineering , Computer Science, Software Engineering, Automation Engineering, or a related field, or equivalent hands-on experience . Minimum of 1 year of hands-on experience with PLCs, preferably Allen-Bradley, focused on diagnostics and troubleshooting (not heavy programming) . Minimum of 1 year of experien ce with VFDs, including diagnosing speed, torque, and drive-related issues . Minimum of 1 year of experience working with AC and DC motors . Hands-on experience with automated systems such as conveyor systems, conveyor belts, vertical lifts, and motor-driven equipment . Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS, robotics, servo motors, or 480V systems . Working knowledge of SQL, Python, and Linux for diagnostics, log review, and system interaction . Strong hands-on experience assembling, operating , maintaining, and troubleshooting robotics and electro-mechanical systems . Prior experience in maintenance engineering, automation maintenance, or lead maintenance technician roles preferred . Our Environment Work is performed in an active industrial environment with high levels of automation . Ability to work at heights of up to 45 feet and within confined spaces . Ability to lift and/or move up to 50 pounds . Exposure to varying temperatures and production conditions . Must comply with all PPE, LOTO, fall protection, and electrical safety requirements . Ability to work flexible hours, including off-shifts , as needed to support system uptime and recovery . Valid driver's license required . About Symbotic Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world's largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit . We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work - for you and the world. That's why we're proud to be an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information. The base range for this position in the posted location is $71,000.00 - $97,900.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.
Software Imaging InternUS-CA-IrvineJob ID: 34091Type: Full-Time# of Openings: 1Category: Intern/TraineeCUSA Western Regional OfficeAbout the Role 2026 Canon Insights Summer InternshipCanon, U. S. A., Inc. is currently hiring for our 2026 Canon Insights Internship Program. The programwill be held from Monday, June 1, 2026 - Wednesday, August 5, 2026. Canon is an innovative global digital imaging leader that uses technology to dissolve the barriers we face in the connections we build, the experiences we create, and even the lives we live. We are looking for passionate and experienced students to join the Canon USA team. This is a paid summer 10-12 week internship for a robust experience based in our Irvine, CA. What You'll Do:You will have the opportunity to gain hands-on work experience by participating in significant work projects that help you learn, develop business skills, and provide a meaningful contribution to Canon's business and goals. You will be exposed to world-class teams and our business, marketing, and strategy initiatives through training, meetings, presentations, and other planned activities.You'll gain marketable skills and knowledge that you'll need in transitioning into the workforce.You'll come to the office 3 days a week and 2 days with the option to work from home (unless a specific business need arises requiring in-office attendance on other days). This position offers a hybrid work schedule on full-time (9 AM - 5 PM) schedule based on a 35-hour work week. Note that work schedules and office reporting requirements may change from time to time based on business needs. Perks & Benefits:A beautiful facility in Irvine, CA.Free coffee."Dress for Your Day" attire program - Casual dress, including jeans is permitted!A dedicated peer buddy who will serve as a mentor during your internship experience.Learning and professional development opportunities.Opportunity to network with top-level Canon business leaders.A chance to be featured on Canon's social media sites.Swag! A Canon welcome kit and official merch you can't get anywhere else. Award-Winning Culture:Canon has a unique culture and is committed to our core values of integrity, mutual respect, fairness, and communication. Our corporate philosophy is Kyosei - which we define as "all people, regardless of race, religion, or culture, harmoniously living and working together into the future." This is reflected in our welcoming, respectful, and family-oriented atmosphere with a strong focus on diversity & inclusion, work-life balance, and community and environmental initiativesYour Impact The 2026 Canon Insights Summer Internship - Intern will be responsible for the following: This program is designed to provide undergraduate students with an opportunity to gain hands-on work experience by participating in significant work projects, training, meetings, presentations and activities. Investigate the feasibility of applying a wide variety of scientific principles and concepts to potential inventions, products and problems. Focus on creating and designing models for software solutions. Plan and execute applied research.Carry out research and development in one or more of the following areas:Computer Vision Applications3D computer vision,Lighting condition analysis,Image and video analysis and understandingMachine learningContribute to Canon's intellectual property portfolioWork with research team on investigations, software products, and software prototypes About You: The Skills & Expertise You Bring An enrolled undergraduate student who is currently a junior and entering their senior year as of Summer 2026, pursuing a Bachelor's degree aligned with the department of interest. A strong communicator-both written and verbal-with advanced proficiency in Google Workspace (Sheets, Docs, Slides, Chat, Calendar and Drive). Brings the ability to thrive as a collaborative team player while also working independently with confidence and enthusiasm. Undergraduate and graduate student in Computer Science, Engineering, or related field.Strong mathematical background and ability to apply it to new problemsWorking experience in Python, and/or MatlabExperience with libraries such as OpenCV and PyTorchThe ability to work in a highly collaborative, fast moving, multi-cultural environmentWe are providing the anticipated rate for this role: $25.00 - $40.00 hourly.Company Overview About our Company - Canon U.S.A., Inc., is a leading provider of consumer, business-to-business, and industrial digital imaging solutions to the United States and to Latin America and the Caribbean markets. With approximately $28.5 billion in global revenue, its parent company, Canon Inc., as of 2024 has ranked in the top-10 for U.S. patents granted for 41 consecutive years. Canon U.S.A. is dedicated to its Kyosei philosophy of social and environmental responsibility. To learn more about Canon, visit us at and connect with us on LinkedIn at Who We Are Where Talent Fosters Innovation. Do you want your next professional experience to be filled with purpose and opportunity, world-class team members, and impactful work? Driven by our mission of exceeding customer expectations with our technologies and enriching the lives of our local communities and staff, we are a phenomenal team working collaboratively toward common goals. Our employees have a strong work ethic, creativity, and a cooperative spirit. We believe in integrity, respect, empowerment, and making a difference in the communities we serve. There is a strong sense of pride in what we do individually and together as a team. Join us and discover what it means to work for a global digital imaging leader with an unparalleled reputation for quality and innovation. What We Offer Youll be joining a leader in digital imaging and innovation with an immense opportunity to make an impact and create your own rewarding career. We demonstrate commitment to our employees by offering a full range of rewards, including competitive compensation and benefits. And Even More Perks! -Employee referral bonus -Employee discounts -Dress for Your Day attire program (casual is welcome, based on your job function) -Volunteer opportunities to give back to our local community -Swag! A Canon welcome kit and official merch you cant get anywhere else Based on weekly patent counts issued by United States Patent and Trademark Office. All referenced product names, and other marks, are trademarks of their respective owners. Canon U.S.A., Inc. offers a competitive compensation package including medical, dental, vision, 401(k) Savings Plan, discretionary profit sharing, discretionary success sharing, educational assistance, recognition programs, vacation, and much more. A more comprehensive list of what we have to offer is available at We comply with all applicable federal, state and local laws, regulations, orders and mandates, including those we may be required to follow as a federal government contractor/subcontractor. You must be legally authorized to work in the United States. The Company will not pursue or support visa sponsorship. All applicants must reside in the United States at the time of hire. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are not reviewing this job posting on our Careers site , we cannot guarantee the validity of this posting. For a list of our current postings, please visit us at Posting Tags
04/01/2026
Software Imaging InternUS-CA-IrvineJob ID: 34091Type: Full-Time# of Openings: 1Category: Intern/TraineeCUSA Western Regional OfficeAbout the Role 2026 Canon Insights Summer InternshipCanon, U. S. A., Inc. is currently hiring for our 2026 Canon Insights Internship Program. The programwill be held from Monday, June 1, 2026 - Wednesday, August 5, 2026. Canon is an innovative global digital imaging leader that uses technology to dissolve the barriers we face in the connections we build, the experiences we create, and even the lives we live. We are looking for passionate and experienced students to join the Canon USA team. This is a paid summer 10-12 week internship for a robust experience based in our Irvine, CA. What You'll Do:You will have the opportunity to gain hands-on work experience by participating in significant work projects that help you learn, develop business skills, and provide a meaningful contribution to Canon's business and goals. You will be exposed to world-class teams and our business, marketing, and strategy initiatives through training, meetings, presentations, and other planned activities.You'll gain marketable skills and knowledge that you'll need in transitioning into the workforce.You'll come to the office 3 days a week and 2 days with the option to work from home (unless a specific business need arises requiring in-office attendance on other days). This position offers a hybrid work schedule on full-time (9 AM - 5 PM) schedule based on a 35-hour work week. Note that work schedules and office reporting requirements may change from time to time based on business needs. Perks & Benefits:A beautiful facility in Irvine, CA.Free coffee."Dress for Your Day" attire program - Casual dress, including jeans is permitted!A dedicated peer buddy who will serve as a mentor during your internship experience.Learning and professional development opportunities.Opportunity to network with top-level Canon business leaders.A chance to be featured on Canon's social media sites.Swag! A Canon welcome kit and official merch you can't get anywhere else. Award-Winning Culture:Canon has a unique culture and is committed to our core values of integrity, mutual respect, fairness, and communication. Our corporate philosophy is Kyosei - which we define as "all people, regardless of race, religion, or culture, harmoniously living and working together into the future." This is reflected in our welcoming, respectful, and family-oriented atmosphere with a strong focus on diversity & inclusion, work-life balance, and community and environmental initiativesYour Impact The 2026 Canon Insights Summer Internship - Intern will be responsible for the following: This program is designed to provide undergraduate students with an opportunity to gain hands-on work experience by participating in significant work projects, training, meetings, presentations and activities. Investigate the feasibility of applying a wide variety of scientific principles and concepts to potential inventions, products and problems. Focus on creating and designing models for software solutions. Plan and execute applied research.Carry out research and development in one or more of the following areas:Computer Vision Applications3D computer vision,Lighting condition analysis,Image and video analysis and understandingMachine learningContribute to Canon's intellectual property portfolioWork with research team on investigations, software products, and software prototypes About You: The Skills & Expertise You Bring An enrolled undergraduate student who is currently a junior and entering their senior year as of Summer 2026, pursuing a Bachelor's degree aligned with the department of interest. A strong communicator-both written and verbal-with advanced proficiency in Google Workspace (Sheets, Docs, Slides, Chat, Calendar and Drive). Brings the ability to thrive as a collaborative team player while also working independently with confidence and enthusiasm. Undergraduate and graduate student in Computer Science, Engineering, or related field.Strong mathematical background and ability to apply it to new problemsWorking experience in Python, and/or MatlabExperience with libraries such as OpenCV and PyTorchThe ability to work in a highly collaborative, fast moving, multi-cultural environmentWe are providing the anticipated rate for this role: $25.00 - $40.00 hourly.Company Overview About our Company - Canon U.S.A., Inc., is a leading provider of consumer, business-to-business, and industrial digital imaging solutions to the United States and to Latin America and the Caribbean markets. With approximately $28.5 billion in global revenue, its parent company, Canon Inc., as of 2024 has ranked in the top-10 for U.S. patents granted for 41 consecutive years. Canon U.S.A. is dedicated to its Kyosei philosophy of social and environmental responsibility. To learn more about Canon, visit us at and connect with us on LinkedIn at Who We Are Where Talent Fosters Innovation. Do you want your next professional experience to be filled with purpose and opportunity, world-class team members, and impactful work? Driven by our mission of exceeding customer expectations with our technologies and enriching the lives of our local communities and staff, we are a phenomenal team working collaboratively toward common goals. Our employees have a strong work ethic, creativity, and a cooperative spirit. We believe in integrity, respect, empowerment, and making a difference in the communities we serve. There is a strong sense of pride in what we do individually and together as a team. Join us and discover what it means to work for a global digital imaging leader with an unparalleled reputation for quality and innovation. What We Offer Youll be joining a leader in digital imaging and innovation with an immense opportunity to make an impact and create your own rewarding career. We demonstrate commitment to our employees by offering a full range of rewards, including competitive compensation and benefits. And Even More Perks! -Employee referral bonus -Employee discounts -Dress for Your Day attire program (casual is welcome, based on your job function) -Volunteer opportunities to give back to our local community -Swag! A Canon welcome kit and official merch you cant get anywhere else Based on weekly patent counts issued by United States Patent and Trademark Office. All referenced product names, and other marks, are trademarks of their respective owners. Canon U.S.A., Inc. offers a competitive compensation package including medical, dental, vision, 401(k) Savings Plan, discretionary profit sharing, discretionary success sharing, educational assistance, recognition programs, vacation, and much more. A more comprehensive list of what we have to offer is available at We comply with all applicable federal, state and local laws, regulations, orders and mandates, including those we may be required to follow as a federal government contractor/subcontractor. You must be legally authorized to work in the United States. The Company will not pursue or support visa sponsorship. All applicants must reside in the United States at the time of hire. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are not reviewing this job posting on our Careers site , we cannot guarantee the validity of this posting. For a list of our current postings, please visit us at Posting Tags
Principle TechnologistLocation: Austin, TXABOUT WIND RIVERWind River is a global leader in delivering software for mission-critical intelligent systems. For more than four decades, the company has been an innovator and pioneer, powering billions of systems that require the highest levels of security, safety, and reliability. Wind River helps customers across automotive, aerospace, defense, industrial, medical, and telecommunications industries solve complex technology challenges on their journey toward the new intelligent machine economy. The company's software powers generation after generation of the safest, most secure systems in the world. Examples include playing a key role in such as Artemis I, the James Webb Space Telescope, and multiple Mars rovers. We've achieved recent including with Verizon and building in the world with Vodafone. for its technology innovation and leadership, and for its workplace culture, including global Great Place to Work certification and being named a "Top Workplace" for ten consecutive years. If you want to be part of a unique culture where the lived experience is based on our cultural attributes of growth mindset, customer-focus, and diversity, equity, inclusion & belonging, come join us and help advance the future software defined world.ABOUT THE OPPORTUNITYThe Principal Open Source Technologist is a senior technical leadership role focused on open source strategy, community engagement, and technical excellence in open source projects. This role drives Wind River's open source initiatives, represents the company in open source communities, and ensures our contributions align with business objectives while advancing the open source ecosystem. In your daily job you will: Open Source Strategy & Leadership Develop and execute Wind River's open source strategy and roadmap Identify strategic open source projects and communities for engagement Drive technical vision for open source contributions and initiatives Represent Wind River in open source communities and working groups Influence open source project direction and technical decisions Build relationships with key open source maintainers and contributors Technical Contributions Lead significant contributions to open source projects (Linux kernel, Yocto Project, etc.) Design and implement features that benefit both Wind River and the open source community Review and approve open source contributions from Wind River engineers Ensure code quality and adherence to open source project standards Maintain upstream patches and ensure compatibility with upstream projects Drive upstream-first development practices Community Engagement Actively participate in open source communities and mailing lists Present at open source conferences and events (Linux Plumbers, FOSDEM, etc.) Organize and lead open source community events and meetups Build and maintain relationships with open source community leaders Mentor engineers on open source contribution practices Foster a culture of open source contribution within Wind River HOW YOU WILL CONTRIBUTE Key skills and competencies for succeeding in this role are:Open Source Project Areas Linux Kernel Contribute to Linux kernel development and maintenance Address kernel features relevant to embedded systems Work on device drivers, subsystems, and core kernel functionality Ensure Wind River's kernel patches are upstream-ready Yocto Project Lead contributions to Yocto Project and OpenEmbedded Drive features and improvements for embedded Linux builds Participate in Yocto Project technical steering Mentor Yocto Project contributors REQUIRED QUALIFICATIONS Bachelor degree in Computer Science, Electrical Engineering, or related field 12+ years of software engineering experience 8+ years of experience with embedded Linux or systems programming 5+ years of active open source contribution experience Proven track record of significant open source contributions Experience as a maintainer or core contributor to major open source projects Expert-level proficiency in C/C++ and systems programming Deep understanding of Linux kernel architecture and development Extensive experience with embedded systems and real-time systems Strong knowledge of open source development practices and tools Experience with Git and distributed version control Expertise in code review and open source contribution workflows Understanding of open source licensing and compliance Candidates must be legally authorized to work in the United States on a permanent basis - without requirement for any type of visa sponsorship/transfer, now, or at any time in future. Verification of employment eligibility will be required at the time of hire. Must be a local resident of Greater Austin, TX, with ability to work on campus.Leadership & Communication Exceptional technical communication skills Strong public speaking and presentation abilities PREFERRED QUALIFICATIONS Maintainer or core contributor status in major open source projects Extensive Yocto Project experience and leadership Significant Linux kernel contributions and recognition Experience in safety-critical industries (aerospace, automotive, medical) Knowledge of functional safety standards (ISO 26262, DO-178C, etc.) Open source project governance experience Industry recognition (awards, keynote speaking, etc.) Published technical papers or articles on open source topics Key Performance Indicators Open source contribution quality and impact Community engagement and relationship building Strategic open source project participation Upstream contribution acceptance rate Conference presentations and speaking engagements Mentoring and development of open source contributors Open source strategy execution Industry recognition and thought leadership BENEFITS Hybrid work model for workplace flexibility Comprehensive health, dental, and life insurance Short and long-term disability coverage RRSP matching for financialsecurity Flexibletime-off policies for work-life balance Learning benefits, including a LinkedIn Learning subscription and seminarsJoin us at Wind River, where we're not just shaping technology; we're shaping the future of a safer, more connected world. Your journey to make a meaningful impact begins here.Wind River is an Equal Opportunity Employer with a commitment to diversity. We prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. Notice - Active Candidates: Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.
04/01/2026
Principle TechnologistLocation: Austin, TXABOUT WIND RIVERWind River is a global leader in delivering software for mission-critical intelligent systems. For more than four decades, the company has been an innovator and pioneer, powering billions of systems that require the highest levels of security, safety, and reliability. Wind River helps customers across automotive, aerospace, defense, industrial, medical, and telecommunications industries solve complex technology challenges on their journey toward the new intelligent machine economy. The company's software powers generation after generation of the safest, most secure systems in the world. Examples include playing a key role in such as Artemis I, the James Webb Space Telescope, and multiple Mars rovers. We've achieved recent including with Verizon and building in the world with Vodafone. for its technology innovation and leadership, and for its workplace culture, including global Great Place to Work certification and being named a "Top Workplace" for ten consecutive years. If you want to be part of a unique culture where the lived experience is based on our cultural attributes of growth mindset, customer-focus, and diversity, equity, inclusion & belonging, come join us and help advance the future software defined world.ABOUT THE OPPORTUNITYThe Principal Open Source Technologist is a senior technical leadership role focused on open source strategy, community engagement, and technical excellence in open source projects. This role drives Wind River's open source initiatives, represents the company in open source communities, and ensures our contributions align with business objectives while advancing the open source ecosystem. In your daily job you will: Open Source Strategy & Leadership Develop and execute Wind River's open source strategy and roadmap Identify strategic open source projects and communities for engagement Drive technical vision for open source contributions and initiatives Represent Wind River in open source communities and working groups Influence open source project direction and technical decisions Build relationships with key open source maintainers and contributors Technical Contributions Lead significant contributions to open source projects (Linux kernel, Yocto Project, etc.) Design and implement features that benefit both Wind River and the open source community Review and approve open source contributions from Wind River engineers Ensure code quality and adherence to open source project standards Maintain upstream patches and ensure compatibility with upstream projects Drive upstream-first development practices Community Engagement Actively participate in open source communities and mailing lists Present at open source conferences and events (Linux Plumbers, FOSDEM, etc.) Organize and lead open source community events and meetups Build and maintain relationships with open source community leaders Mentor engineers on open source contribution practices Foster a culture of open source contribution within Wind River HOW YOU WILL CONTRIBUTE Key skills and competencies for succeeding in this role are:Open Source Project Areas Linux Kernel Contribute to Linux kernel development and maintenance Address kernel features relevant to embedded systems Work on device drivers, subsystems, and core kernel functionality Ensure Wind River's kernel patches are upstream-ready Yocto Project Lead contributions to Yocto Project and OpenEmbedded Drive features and improvements for embedded Linux builds Participate in Yocto Project technical steering Mentor Yocto Project contributors REQUIRED QUALIFICATIONS Bachelor degree in Computer Science, Electrical Engineering, or related field 12+ years of software engineering experience 8+ years of experience with embedded Linux or systems programming 5+ years of active open source contribution experience Proven track record of significant open source contributions Experience as a maintainer or core contributor to major open source projects Expert-level proficiency in C/C++ and systems programming Deep understanding of Linux kernel architecture and development Extensive experience with embedded systems and real-time systems Strong knowledge of open source development practices and tools Experience with Git and distributed version control Expertise in code review and open source contribution workflows Understanding of open source licensing and compliance Candidates must be legally authorized to work in the United States on a permanent basis - without requirement for any type of visa sponsorship/transfer, now, or at any time in future. Verification of employment eligibility will be required at the time of hire. Must be a local resident of Greater Austin, TX, with ability to work on campus.Leadership & Communication Exceptional technical communication skills Strong public speaking and presentation abilities PREFERRED QUALIFICATIONS Maintainer or core contributor status in major open source projects Extensive Yocto Project experience and leadership Significant Linux kernel contributions and recognition Experience in safety-critical industries (aerospace, automotive, medical) Knowledge of functional safety standards (ISO 26262, DO-178C, etc.) Open source project governance experience Industry recognition (awards, keynote speaking, etc.) Published technical papers or articles on open source topics Key Performance Indicators Open source contribution quality and impact Community engagement and relationship building Strategic open source project participation Upstream contribution acceptance rate Conference presentations and speaking engagements Mentoring and development of open source contributors Open source strategy execution Industry recognition and thought leadership BENEFITS Hybrid work model for workplace flexibility Comprehensive health, dental, and life insurance Short and long-term disability coverage RRSP matching for financialsecurity Flexibletime-off policies for work-life balance Learning benefits, including a LinkedIn Learning subscription and seminarsJoin us at Wind River, where we're not just shaping technology; we're shaping the future of a safer, more connected world. Your journey to make a meaningful impact begins here.Wind River is an Equal Opportunity Employer with a commitment to diversity. We prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. Notice - Active Candidates: Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.
"Failing Tech Interviews? Or No Interviews ? Let's get You Offers! Every job posting attracts hundreds or thousands of applicants, making it nearly impossible to stand out. SynergisticIT's JOPP gives you the tools to rise above the noise. Getting hired in tech isn't just about knowing how to code - it's about proving you can deliver value from day one. Getting interviews but not converting them into offers is one of the most frustrating stages of a tech job search. It's also one of the most fixable-because interview performance is rarely about intelligence. It's usually about preparation structure, repetition, communication clarity, and knowing what interviewers actually test. Many candidates learn coding, but they don't learn how to present their skills under pressure. SynergisticIT is designed for candidates who want to stop guessing and start improving with a clear framework. Since 2010, SynergisticIT has helped thousands of candidates land full-time jobs at tech leaders and enterprise employers-companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client, and many more-with offers often ranging from $95,000 to $154,000 depending on role and skill depth. The focus is: build job-ready ability + interview confidence + hiring alignment so you can close the deal when opportunities appear. Why do people fail interviews after doing CS or online courses? Typically it's one (or several) of these gaps: Weak fundamentals (you know syntax, but not the "why") Poor project explanation (you built something, but can't defend design decisions) Shallow system understanding (APIs, DB design, CI/CD, cloud basics are fuzzy) No repetition under pressure (whiteboard/online assessments feel unfamiliar) Lack of structured mock interview practice SynergisticIT addresses these gaps by treating interviews as a skill you work on-like a sport. You don't just watch videos; you practice real drills. We emphasize on real interview patterns: coding questions, debugging, project walkthroughs, behavioral responses, and the ability to speak clearly about your work. What kinds of roles are being targeted? Instead of chasing every shiny trend, JOPP focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer. In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI-because companies hire teams, not single-skill candidates. Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can't convert interviews, and F1/OPT candidates needing a stable path. SynergisticIT also supports candidates with guidance around STEM extension and offers process support relating to H-1B/Green Card filing once employed (as applicable through employers and standard immigration processes). Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT If you're already getting interviews, you're closer than you think. Now it's time to train like you mean it-and turn interviews into offers. If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Form (Get Started): Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
04/01/2026
Full time
"Failing Tech Interviews? Or No Interviews ? Let's get You Offers! Every job posting attracts hundreds or thousands of applicants, making it nearly impossible to stand out. SynergisticIT's JOPP gives you the tools to rise above the noise. Getting hired in tech isn't just about knowing how to code - it's about proving you can deliver value from day one. Getting interviews but not converting them into offers is one of the most frustrating stages of a tech job search. It's also one of the most fixable-because interview performance is rarely about intelligence. It's usually about preparation structure, repetition, communication clarity, and knowing what interviewers actually test. Many candidates learn coding, but they don't learn how to present their skills under pressure. SynergisticIT is designed for candidates who want to stop guessing and start improving with a clear framework. Since 2010, SynergisticIT has helped thousands of candidates land full-time jobs at tech leaders and enterprise employers-companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client, and many more-with offers often ranging from $95,000 to $154,000 depending on role and skill depth. The focus is: build job-ready ability + interview confidence + hiring alignment so you can close the deal when opportunities appear. Why do people fail interviews after doing CS or online courses? Typically it's one (or several) of these gaps: Weak fundamentals (you know syntax, but not the "why") Poor project explanation (you built something, but can't defend design decisions) Shallow system understanding (APIs, DB design, CI/CD, cloud basics are fuzzy) No repetition under pressure (whiteboard/online assessments feel unfamiliar) Lack of structured mock interview practice SynergisticIT addresses these gaps by treating interviews as a skill you work on-like a sport. You don't just watch videos; you practice real drills. We emphasize on real interview patterns: coding questions, debugging, project walkthroughs, behavioral responses, and the ability to speak clearly about your work. What kinds of roles are being targeted? Instead of chasing every shiny trend, JOPP focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer. In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI-because companies hire teams, not single-skill candidates. Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can't convert interviews, and F1/OPT candidates needing a stable path. SynergisticIT also supports candidates with guidance around STEM extension and offers process support relating to H-1B/Green Card filing once employed (as applicable through employers and standard immigration processes). Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT If you're already getting interviews, you're closer than you think. Now it's time to train like you mean it-and turn interviews into offers. If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Form (Get Started): Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
Failing Interviews or no Interviews Isn't a Lack of Experience Problem. It's a Tech stack Problem. Rejections can be discouraging, but they don't reflect your true potential - they reflect your preparation. Employers want hands on experience, real projects, and interview ready candidates. SynergisticIT's JOPP fills the gap between classroom learning and real world hiring expectations. If you're getting interviews but not offers, you're closer than you think-and that's the most frustrating stage to be in. You've already proven you're employable enough to get screened, but something breaks during technical rounds: data structures, problem-solving, system design, project explanations, or even the way you communicate tradeoffs. Most candidates don't fail because they're "not smart." They fail because they prepared the wrong way-watching tutorials, building shallow projects, or memorizing answers without mastering fundamentals. SynergisticIT's approach is built for this exact scenario. Since 2010, SynergisticIT has helped candidates move from "almost" to "offer," with our candidates landing salaries typically ranging from $90,000 to $154,000 depending on role and stack. Candidates have received offers from employers such as Apple, Google, PayPal, Visa, Wells Fargo, Client, Client, Banking, Walmart Labs, AutoZone, Client, Client, and more. SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. The focus is on high-demand tracks: Java / Full Stack / DevOps and Data (Analytics/Engineering/Science) + Machine Learning/AI. Interview success improves when you can demonstrate not only coding ability, but also the "end-to-end" thinking employers want: APIs, backend design, database decisions, cloud deployment, CI/CD, and real project narratives. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT Ideal candidates for interview-focused support include: recent grads with limited experience, candidates stuck after multiple interviews, professionals returning after layoffs, candidates with career gaps, and international candidates on F1/OPT who need employment to maintain status and pursue STEM extension/H-1B pathways. SynergisticIT also supports the candidate journey by assisting with STEM extension and providing process support for H-1B/green card filing through employment partners (actual filing depends on the employer). Explore resources and get started: If you want to explore the program directly, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact: If you're tired of being "final round" without the offer, stop guessing and start preparing with a plan. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
04/01/2026
Full time
Failing Interviews or no Interviews Isn't a Lack of Experience Problem. It's a Tech stack Problem. Rejections can be discouraging, but they don't reflect your true potential - they reflect your preparation. Employers want hands on experience, real projects, and interview ready candidates. SynergisticIT's JOPP fills the gap between classroom learning and real world hiring expectations. If you're getting interviews but not offers, you're closer than you think-and that's the most frustrating stage to be in. You've already proven you're employable enough to get screened, but something breaks during technical rounds: data structures, problem-solving, system design, project explanations, or even the way you communicate tradeoffs. Most candidates don't fail because they're "not smart." They fail because they prepared the wrong way-watching tutorials, building shallow projects, or memorizing answers without mastering fundamentals. SynergisticIT's approach is built for this exact scenario. Since 2010, SynergisticIT has helped candidates move from "almost" to "offer," with our candidates landing salaries typically ranging from $90,000 to $154,000 depending on role and stack. Candidates have received offers from employers such as Apple, Google, PayPal, Visa, Wells Fargo, Client, Client, Banking, Walmart Labs, AutoZone, Client, Client, and more. SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. The focus is on high-demand tracks: Java / Full Stack / DevOps and Data (Analytics/Engineering/Science) + Machine Learning/AI. Interview success improves when you can demonstrate not only coding ability, but also the "end-to-end" thinking employers want: APIs, backend design, database decisions, cloud deployment, CI/CD, and real project narratives. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT Ideal candidates for interview-focused support include: recent grads with limited experience, candidates stuck after multiple interviews, professionals returning after layoffs, candidates with career gaps, and international candidates on F1/OPT who need employment to maintain status and pursue STEM extension/H-1B pathways. SynergisticIT also supports the candidate journey by assisting with STEM extension and providing process support for H-1B/green card filing through employment partners (actual filing depends on the employer). Explore resources and get started: If you want to explore the program directly, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact: If you're tired of being "final round" without the offer, stop guessing and start preparing with a plan. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
This Jobot Job is hosted by: Christina Finster Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $145,000 - $185,000 per year A bit about us: Our client was founded with the intention of delivering on the promise of what Internet-of-Things (IoT) was supposed to be. They're building a global Bluetooth network dedicated to machine-to-machine connectivity. Our client is an early-stage, venture-backed startup supported by some of the best investors in the world. Why join us? COMPENSATION & BENEFITS Salary: $145,000.00 - $185,000.00 (commensurate with experience) Comprehensive Benefits - Health, Dental, Vision, & HSA options Unlimited PTO Commuter Benefits (if working from HQ) Learning & Development Allowance Health & Wellness Stipend Sabbatical Program - Recharge and explore new ideas Cutting-Edge Space Tech - Work on state-of-the-art satellite system Job Details As a Senior Hardware Test Engineer, you'll play a critical role in ensuring the reliability, performance, and longevity of our satellite hardware. You'll own the development and execution of comprehensive test strategies that validate our wireless payloads, uncover weaknesses, and optimize system durability. Your work will span the full lifecycle - from design validation to flight readiness - and will be instrumental in proving that our payloads can thrive in the harshest environments space has to offer, including radiation, thermal cycling, and mechanical stress. In this role, you'll: Build and execute rigorous test protocols for RF and mixed-signal hardware. Analyze test data to identify failure modes, drive root-cause investigations, and feed improvements back into design. Develop methods to optimize system resilience under space conditions. Lead continuous improvement in test methodology, automation, and best practices. Provide technical mentorship and help raise the bar for test engineering at Hubble. Collaborate closely with cross-functional teams - hardware, software, and mechanical - to ensure reliability from initial design through manufacturing and in-orbit operation. This is a full-time position based in Seattle, WA. AN IDEAL CANDIDATE HAS A Sense of Urgency: Lead projects from concept to reality, rapidly and effectively First Principles Engineering: Have a strong understanding of the whys behind the whats; have the ability to extrapolate from first principles to complex system design High Learning Agility: Love to learn; have a grounded approach to recognizing your weaknesses and take the initiative to brush up on and sharpen your engineering foundations to better collaborate with your teammates with different backgrounds System-Level Design and Analysis: Understand the requirements flow down process and be able to quickly iterate on evolving requirements Excellent Communication Skills: Effectively convey ideas and communicate technical topics with engineering, build staff, and operations; run self-directed design reviews and participate in reviews of parallel systems Anticipation of Needs: Identify problems, think creatively, and rapidly produce reliable and cost-effective solutions to meet the ever growing and changing needs of an early-stage company BASIC QUALIFICATIONS Bachelor's Degree in Electrical engineering, Aerospace engineering, Computer science or a related field. 7+ years of experience in hardware validation, test engineering, or RF systems testing. Experience in design, testing, and debugging of RF PCBAs coupled with a thorough understanding of electronics reliability and failure mechanisms. Experience with test equipment (such as oscilloscope, VNA, Spectrum Analyzer, and Signal Generator) and procedures for analysis, verification and validation of RF products. Strong expertise in programming languages (Python, C/C++) required for data analysis and test automation. Demonstrated ability to conduct root cause failure analysis and implement corrective actions with an emphasis on RF systems. Thorough understanding of metrology, sources of measurement error, and uncertainty analysis. Experience with environmental testing such as thermal, vibration, and TVAC. Demonstrated ability to work in a highly cross-functional role Ability to work independently. Strong interpersonal, verbal and written communication skills is a must. Ability and willingness to thrive in a fast-paced, rapidly changing work environment. Passion for creating state-of-the-art hardware systems STRONGLY DESIRED 5+ years of experience in reliability engineering, testing, or quality assurance, preferably within the aerospace or satellite industry. Experience in high volume manufacturing, assembling and testing of electronic components. Experience in analyzing impact of radiation on electronic components and strategies to mitigate impact of radiation on electronic systems. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
04/01/2026
Full time
This Jobot Job is hosted by: Christina Finster Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $145,000 - $185,000 per year A bit about us: Our client was founded with the intention of delivering on the promise of what Internet-of-Things (IoT) was supposed to be. They're building a global Bluetooth network dedicated to machine-to-machine connectivity. Our client is an early-stage, venture-backed startup supported by some of the best investors in the world. Why join us? COMPENSATION & BENEFITS Salary: $145,000.00 - $185,000.00 (commensurate with experience) Comprehensive Benefits - Health, Dental, Vision, & HSA options Unlimited PTO Commuter Benefits (if working from HQ) Learning & Development Allowance Health & Wellness Stipend Sabbatical Program - Recharge and explore new ideas Cutting-Edge Space Tech - Work on state-of-the-art satellite system Job Details As a Senior Hardware Test Engineer, you'll play a critical role in ensuring the reliability, performance, and longevity of our satellite hardware. You'll own the development and execution of comprehensive test strategies that validate our wireless payloads, uncover weaknesses, and optimize system durability. Your work will span the full lifecycle - from design validation to flight readiness - and will be instrumental in proving that our payloads can thrive in the harshest environments space has to offer, including radiation, thermal cycling, and mechanical stress. In this role, you'll: Build and execute rigorous test protocols for RF and mixed-signal hardware. Analyze test data to identify failure modes, drive root-cause investigations, and feed improvements back into design. Develop methods to optimize system resilience under space conditions. Lead continuous improvement in test methodology, automation, and best practices. Provide technical mentorship and help raise the bar for test engineering at Hubble. Collaborate closely with cross-functional teams - hardware, software, and mechanical - to ensure reliability from initial design through manufacturing and in-orbit operation. This is a full-time position based in Seattle, WA. AN IDEAL CANDIDATE HAS A Sense of Urgency: Lead projects from concept to reality, rapidly and effectively First Principles Engineering: Have a strong understanding of the whys behind the whats; have the ability to extrapolate from first principles to complex system design High Learning Agility: Love to learn; have a grounded approach to recognizing your weaknesses and take the initiative to brush up on and sharpen your engineering foundations to better collaborate with your teammates with different backgrounds System-Level Design and Analysis: Understand the requirements flow down process and be able to quickly iterate on evolving requirements Excellent Communication Skills: Effectively convey ideas and communicate technical topics with engineering, build staff, and operations; run self-directed design reviews and participate in reviews of parallel systems Anticipation of Needs: Identify problems, think creatively, and rapidly produce reliable and cost-effective solutions to meet the ever growing and changing needs of an early-stage company BASIC QUALIFICATIONS Bachelor's Degree in Electrical engineering, Aerospace engineering, Computer science or a related field. 7+ years of experience in hardware validation, test engineering, or RF systems testing. Experience in design, testing, and debugging of RF PCBAs coupled with a thorough understanding of electronics reliability and failure mechanisms. Experience with test equipment (such as oscilloscope, VNA, Spectrum Analyzer, and Signal Generator) and procedures for analysis, verification and validation of RF products. Strong expertise in programming languages (Python, C/C++) required for data analysis and test automation. Demonstrated ability to conduct root cause failure analysis and implement corrective actions with an emphasis on RF systems. Thorough understanding of metrology, sources of measurement error, and uncertainty analysis. Experience with environmental testing such as thermal, vibration, and TVAC. Demonstrated ability to work in a highly cross-functional role Ability to work independently. Strong interpersonal, verbal and written communication skills is a must. Ability and willingness to thrive in a fast-paced, rapidly changing work environment. Passion for creating state-of-the-art hardware systems STRONGLY DESIRED 5+ years of experience in reliability engineering, testing, or quality assurance, preferably within the aerospace or satellite industry. Experience in high volume manufacturing, assembling and testing of electronic components. Experience in analyzing impact of radiation on electronic components and strategies to mitigate impact of radiation on electronic systems. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
This Jobot Job is hosted by: Ashley Hunt Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $120,000 - $150,000 per year A bit about us: Our company is a leading provider of supply chain solutions, helping businesses optimize inventory, improve responsiveness, and drive efficiency with innovative Demand Driven MRP (DDMRP) technology. We are looking for a Senior Product Manager who can own the roadmap for our B2B SaaS products and translate customer needs into impactful product features. Why join us? Be part of a company transforming the supply chain industry through innovative SaaS solutions. Collaborate with a diverse, high-performing team on cutting-edge technology. Opportunity for professional growth and impact in a fast-paced, data-driven environment. Job Details As a Senior Product Manager, you will lead the product lifecycle from concept to delivery, balancing business goals, customer needs, and technical feasibility. You will collaborate closely with cross-functional teams, including development, QA, UI/UX, and international partners, to deliver high-quality products that solve complex supply chain challenges. Key Responsibilities: Own and prioritize the product backlog using Jira, planning features across multiple releases annually and creating detailed specifications with clear requirements and acceptance criteria for developers. Analyze and simulate customer part data, performing feature engineering and validation to enhance machine learning models supporting DDMRP supply chain management. Conduct ETL processes on large datasets (millions of entries) via APIs, Excel, and Python to support data-driven product decisions and test patented methodologies. Design and develop UI mockups and prototypes for new features using HTML, CSS, Python, and design tools such as Photoshop. Build and maintain a comprehensive knowledge base of 100+ internal and external support articles using Confluence. Coordinate with global UI/UX, QA, Development, and Special Projects teams to ensure alignment with the product vision and timely delivery of features. Qualifications: 5+ years of product management experience, preferably with B2B SaaS products. Strong experience with supply chain management concepts, DDMRP, or related methodologies. Hands-on experience with data analysis, ETL processes, and machine learning pipelines. Proficiency with Jira, Confluence, Excel, Python, and UI/UX prototyping tools. Excellent communication skills and experience collaborating with international and cross-functional teams. Bachelor's degree in Engineering, Computer Science, Business, or a related field; advanced degrees are a plus. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
04/01/2026
Full time
This Jobot Job is hosted by: Ashley Hunt Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $120,000 - $150,000 per year A bit about us: Our company is a leading provider of supply chain solutions, helping businesses optimize inventory, improve responsiveness, and drive efficiency with innovative Demand Driven MRP (DDMRP) technology. We are looking for a Senior Product Manager who can own the roadmap for our B2B SaaS products and translate customer needs into impactful product features. Why join us? Be part of a company transforming the supply chain industry through innovative SaaS solutions. Collaborate with a diverse, high-performing team on cutting-edge technology. Opportunity for professional growth and impact in a fast-paced, data-driven environment. Job Details As a Senior Product Manager, you will lead the product lifecycle from concept to delivery, balancing business goals, customer needs, and technical feasibility. You will collaborate closely with cross-functional teams, including development, QA, UI/UX, and international partners, to deliver high-quality products that solve complex supply chain challenges. Key Responsibilities: Own and prioritize the product backlog using Jira, planning features across multiple releases annually and creating detailed specifications with clear requirements and acceptance criteria for developers. Analyze and simulate customer part data, performing feature engineering and validation to enhance machine learning models supporting DDMRP supply chain management. Conduct ETL processes on large datasets (millions of entries) via APIs, Excel, and Python to support data-driven product decisions and test patented methodologies. Design and develop UI mockups and prototypes for new features using HTML, CSS, Python, and design tools such as Photoshop. Build and maintain a comprehensive knowledge base of 100+ internal and external support articles using Confluence. Coordinate with global UI/UX, QA, Development, and Special Projects teams to ensure alignment with the product vision and timely delivery of features. Qualifications: 5+ years of product management experience, preferably with B2B SaaS products. Strong experience with supply chain management concepts, DDMRP, or related methodologies. Hands-on experience with data analysis, ETL processes, and machine learning pipelines. Proficiency with Jira, Confluence, Excel, Python, and UI/UX prototyping tools. Excellent communication skills and experience collaborating with international and cross-functional teams. Bachelor's degree in Engineering, Computer Science, Business, or a related field; advanced degrees are a plus. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Bowhead / UIC Technical Services
Dahlgren, Virginia
Overview CIAT Network Infrastructure Engineer (VDEPT) Bowhead is seeking a CIAT Network Infrastructure Engineer in Dahlgren, VA. The CIAT Network Infrastructure Engineer is responsible for the operation, maintenance, and support of the CIAT system's underlying infrastructure. This role requires a strong understanding of virtualization technologies, scripting languages, operating systems, and complex system architectures. The engineer will troubleshoot issues, document procedures, and collaborate with other team members to ensure the stability, security, and performance of the CIAT infrastructure. The ideal candidate is a self-motivated problem-solver with a passion for learning and a commitment to providing excellent technical support. Responsibilities Maintain and troubleshoot the CIAT system's virtualized environment using VMware. Configure and manage virtual machines (VMs), ensuring optimal performance and resource utilization. Automate system administration tasks using scripting languages: PowerShell, Ansible, Bash, and Python Develop and maintain documentation for infrastructure processes and procedures. Communicate effectively with other team members to resolve technical issues and share knowledge. Troubleshoot complex problems independently, with minimal supervision. Maintain a comprehensive understanding of the CIAT system of systems architecture, Infrastructure as a Service (IaaS) components, and complex system interdependencies. Install, configure, and maintain Linux (primarily RHEL and Ubuntu) and Windows operating systems. Qualifications Three to five years (3-5) of experience in networking, IT, or other related fields preferred Bachelor's degree required. CompTIA Security+ CE Certification preferred Strong understanding of VMware and virtual machine configuration. Proficiency in scripting languages such as PowerShell, Ansible, Bash, and Python. Excellent documentation and communication skills. Demonstrated ability to troubleshoot complex problems independently. Comprehensive understanding of system of systems concepts, IaaS, and complex system architectures. Extensive knowledge of Linux (RHEL and Ubuntu) and Windows operating systems. Additional Desire Skills: AWS tactical knowledge in BL9 or BL10 environments. Programming or development experience. VMware or IaaS certifications. Containerization experience (e.g., Docker, Kubernete) Travel: Required to support CIAT system deployments and maintenance activities (Physical Demands: Must be able to lift up to 10-15 pounds Must be able to stand and walk for prolonged amounts of time Must be able to twist, bend and squat periodically SECURITY CLEARANCE REQUIREMENTS: Must currently hold a security clearance at the Secret level. US Citizenship is a requirement for this contract.
04/01/2026
Full time
Overview CIAT Network Infrastructure Engineer (VDEPT) Bowhead is seeking a CIAT Network Infrastructure Engineer in Dahlgren, VA. The CIAT Network Infrastructure Engineer is responsible for the operation, maintenance, and support of the CIAT system's underlying infrastructure. This role requires a strong understanding of virtualization technologies, scripting languages, operating systems, and complex system architectures. The engineer will troubleshoot issues, document procedures, and collaborate with other team members to ensure the stability, security, and performance of the CIAT infrastructure. The ideal candidate is a self-motivated problem-solver with a passion for learning and a commitment to providing excellent technical support. Responsibilities Maintain and troubleshoot the CIAT system's virtualized environment using VMware. Configure and manage virtual machines (VMs), ensuring optimal performance and resource utilization. Automate system administration tasks using scripting languages: PowerShell, Ansible, Bash, and Python Develop and maintain documentation for infrastructure processes and procedures. Communicate effectively with other team members to resolve technical issues and share knowledge. Troubleshoot complex problems independently, with minimal supervision. Maintain a comprehensive understanding of the CIAT system of systems architecture, Infrastructure as a Service (IaaS) components, and complex system interdependencies. Install, configure, and maintain Linux (primarily RHEL and Ubuntu) and Windows operating systems. Qualifications Three to five years (3-5) of experience in networking, IT, or other related fields preferred Bachelor's degree required. CompTIA Security+ CE Certification preferred Strong understanding of VMware and virtual machine configuration. Proficiency in scripting languages such as PowerShell, Ansible, Bash, and Python. Excellent documentation and communication skills. Demonstrated ability to troubleshoot complex problems independently. Comprehensive understanding of system of systems concepts, IaaS, and complex system architectures. Extensive knowledge of Linux (RHEL and Ubuntu) and Windows operating systems. Additional Desire Skills: AWS tactical knowledge in BL9 or BL10 environments. Programming or development experience. VMware or IaaS certifications. Containerization experience (e.g., Docker, Kubernete) Travel: Required to support CIAT system deployments and maintenance activities (Physical Demands: Must be able to lift up to 10-15 pounds Must be able to stand and walk for prolonged amounts of time Must be able to twist, bend and squat periodically SECURITY CLEARANCE REQUIREMENTS: Must currently hold a security clearance at the Secret level. US Citizenship is a requirement for this contract.
Alliant International University
Los Angeles, California
Alliant International University is a professional practice University committed to excellence in four areas: Education for Professional Practice, Scholarship, Multicultural and International Competence, and Community Engagement. The University provides students with the highest quality of education through excellence and innovation in academic scholarship, applied training and research, and community service, particularly to underserved populations. Through its Mission, the University's goal is to equip students with the competencies they need to effectively practice in the professional setting, provide public benefit and make an impact in their communities by addressing major contemporary social issues. Our Mission:Alliant International University prepares students for professional careers of service and leadership and promotes the discovery and application of knowledge to improve the lives of people in diverse cultures and communities around the world. Our Vision:An inclusive world empowered by Alliant alumni. Our IMPACT Values: Inclusion:We value and engage the rich diversity of the Alliant community. Mentoring:We provide guidance and create enabling environments for success. Passion:We bring enthusiasm, creativity, and authenticity to our work. Accountability:We act with integrity and responsibility in all we do. Communication:We are responsive, transparent, and respectful in our interactions. Teamwork:We collaborate to develop innovative solutions for our community. Application Instructions: All individuals interested in being considered for an Adjunct position, now or in the future, must submit the following items: Resume/CV Transcript (of your highest degree obtained) Three (3) professional references Application Description: Applicants to this position will be considered for a candidate pool encompassing one or more of the subject areas outlined in the job description. This pool will be used to identify qualified candidates for potential appointments during the academic year. The California School of Management and Leadership (CSML) has a long history of more than 35 years with an alumni base spread globally. Graduates from our programs are employed in diverse industries, disciplines and positions in several types of organizations in more than 50 countries around the world. CSML is known for multicultural and multinational education to a student population with diverse backgrounds. Stalwarts such as Dr. Igor Ansoff and Dr. Efraim Turban laid the conceptual foundation of the school's academic mission in preparing tomorrow's global leaders. CSML concentrates on professional practice, applied theory and contemporary techniques. Our goal is to educate individuals who will go out into the world to accomplish great things in the communities around the world they serve. The Management School is in growth mode and plans to continue to grow the ground programs, expand in the online modality, as well as expand geographically to Alliant's other California campuses. The programs have a strong global dimension with many of the professors and students having a global background coming from different countries and having worked abroad. This multiculturalism is thoroughly integrated into the classes at CSML. Students benefit from having an accomplished cohort- many who are working professionals or international students and/or former US military. This experience creates a network that enhances the student learning environments in their programs and in co-curricular activities. Many of our doctoral students publish either by writing books or conference papers or journal articles, which further enhances their professional stature. The school offers programs at the Masters and Doctoral levels. Los Angeles Campus - STEM - MSHA- Master Science Healthcare Analytics Program CSML is seeking qualified part-time instructors to teach in our STEM MSHA Master Science Healthcare Analytics courses in our LA campus. Specifically, we are looking for candidates who can teach the following courses: Informatics for Patient Care, Public Health, and Epidemiology Healthcare Systems, Services and Infrastructure - A Global Perspective Legal, Regulatory, and Ethical Issues in Modern Healthcare Structures Database Design Principles and Technologies Essentials of Computational Science Using Python Data Analytics for Decision Making Basic Applied Statistics Advanced Programming with Python Starting Salary: $32 hourly. You can learn more about CSML by visiting the Alliant web site at If you are interested in joining our team of experts or have other questions about our program, please contact us . CSML continually seeks subject matter experts to join our cadre of adjunct faculty. The following are the duties, responsibilities, skills and qualifications that Alliant requires from applicants for an Adjunct professor position: Pedagogical & Academic Skills: Facilitating Classroom and Distance/Distributed Learning Course and syllabus preparation Class curriculum coordination and planning Assessment and evaluation of learners Mentoring and advising students Holding office hours and meeting with students Research/scholarship mentoring and supervision, particularly of MS theses, STEM projects, and PhD, EdD, DBA dissertations Skills: Proficient computer skills, including proficiency with Microsoft Office programs. The ability to work independently and be self-motivated. High level of accuracy and attention to detail and the ability to solve problems. The ability to explain complex requirements in clear and concise terms The ability to be flexible with workflow to meet the needs of the department and students and to manage multiple tasks by required deadlines The drive to encourage, direct, hold accountable and guide candidates toward task completion. Must demonstrate the ability to work as an effective team member and develop trusting relationships with students and Alliant employees, as well as the Registrar's Office and various academic departments. Culturally competent and ability to communicate and interact effectively with diverse people. Highly motivated, focused and results oriented. Ability to exercise discretion and tact in all interpersonal interactions, and to maintain confidentiality. Collaboration and partnering with other university stakeholders to support candidate success. Ability to make administrative/procedural decisions and judgments Technical & Subject Matter Expertise: Advanced knowledge of data analytics, statistical modeling, and data-driven decision-making Expertise in machine learning, artificial intelligence, and predictive modeling Proficiency in data wrangling, data preprocessing, and feature engineering Advanced knowledge of healthcare analytics, clinical informatics, and population health data Expertise in healthcare data standards and formats (e.g., HL7, FHIR, ICD-10, CPT, SNOMED) Proficiency in statistical modeling, predictive analytics, and machine learning applications in healthcare Strong skills in data cleaning, integration, and interoperability across healthcare systems Competence in programming languages commonly used in analytics (e.g., Python, R, SQL, SAS) Experience with electronic health records (EHR) systems and health information exchanges (HIE) Knowledge of data visualization and reporting tools (e.g., Tableau, Power BI, R Shiny, ggplot2) Understanding of data governance, healthcare compliance, and regulatory frameworks (e.g., HIPAA, GDPR) Familiarity with cloud platforms and secure computing environments for sensitive health data Knowledge of big data technologies and population-level analytics for public health and clinical research Minimum Requirements: Education:Master's, Doctoral or other terminal degrees from an accredited college or university, depending upon the needs of the course being taught. Experience: 5 years' appropriate industry experience in the areas(s) of specialization and expertise required Background Check Requirements: Employment is contingent upon successful completion of a background check (including criminal, prior employment and education verification). Failure to satisfactorily complete the background check may affect the application status of applicants or continued employment of current University employees who apply for the position. Additional Information: Anti-Discrimination Policy: Alliant International University prohibits unlawful discrimination, harassment or retaliation in its educational programs, services and activities, and in employment practices, including but not limited to internal promotions, training, opportunities for advancement, terminations, relationships with outside vendors, use of contractors and consultants, and in its admission or access thereto, on the basis of race, ethnicity, national origin or descent, color, creed, religion, sex, age, marital status, disability (including physical, disease, psychiatric or psychological disability), medical condition, pregnancy, veteran status, sexual orientation, gender identification or expression, hair style or texture associated with race . click apply for full job details
04/01/2026
Full time
Alliant International University is a professional practice University committed to excellence in four areas: Education for Professional Practice, Scholarship, Multicultural and International Competence, and Community Engagement. The University provides students with the highest quality of education through excellence and innovation in academic scholarship, applied training and research, and community service, particularly to underserved populations. Through its Mission, the University's goal is to equip students with the competencies they need to effectively practice in the professional setting, provide public benefit and make an impact in their communities by addressing major contemporary social issues. Our Mission:Alliant International University prepares students for professional careers of service and leadership and promotes the discovery and application of knowledge to improve the lives of people in diverse cultures and communities around the world. Our Vision:An inclusive world empowered by Alliant alumni. Our IMPACT Values: Inclusion:We value and engage the rich diversity of the Alliant community. Mentoring:We provide guidance and create enabling environments for success. Passion:We bring enthusiasm, creativity, and authenticity to our work. Accountability:We act with integrity and responsibility in all we do. Communication:We are responsive, transparent, and respectful in our interactions. Teamwork:We collaborate to develop innovative solutions for our community. Application Instructions: All individuals interested in being considered for an Adjunct position, now or in the future, must submit the following items: Resume/CV Transcript (of your highest degree obtained) Three (3) professional references Application Description: Applicants to this position will be considered for a candidate pool encompassing one or more of the subject areas outlined in the job description. This pool will be used to identify qualified candidates for potential appointments during the academic year. The California School of Management and Leadership (CSML) has a long history of more than 35 years with an alumni base spread globally. Graduates from our programs are employed in diverse industries, disciplines and positions in several types of organizations in more than 50 countries around the world. CSML is known for multicultural and multinational education to a student population with diverse backgrounds. Stalwarts such as Dr. Igor Ansoff and Dr. Efraim Turban laid the conceptual foundation of the school's academic mission in preparing tomorrow's global leaders. CSML concentrates on professional practice, applied theory and contemporary techniques. Our goal is to educate individuals who will go out into the world to accomplish great things in the communities around the world they serve. The Management School is in growth mode and plans to continue to grow the ground programs, expand in the online modality, as well as expand geographically to Alliant's other California campuses. The programs have a strong global dimension with many of the professors and students having a global background coming from different countries and having worked abroad. This multiculturalism is thoroughly integrated into the classes at CSML. Students benefit from having an accomplished cohort- many who are working professionals or international students and/or former US military. This experience creates a network that enhances the student learning environments in their programs and in co-curricular activities. Many of our doctoral students publish either by writing books or conference papers or journal articles, which further enhances their professional stature. The school offers programs at the Masters and Doctoral levels. Los Angeles Campus - STEM - MSHA- Master Science Healthcare Analytics Program CSML is seeking qualified part-time instructors to teach in our STEM MSHA Master Science Healthcare Analytics courses in our LA campus. Specifically, we are looking for candidates who can teach the following courses: Informatics for Patient Care, Public Health, and Epidemiology Healthcare Systems, Services and Infrastructure - A Global Perspective Legal, Regulatory, and Ethical Issues in Modern Healthcare Structures Database Design Principles and Technologies Essentials of Computational Science Using Python Data Analytics for Decision Making Basic Applied Statistics Advanced Programming with Python Starting Salary: $32 hourly. You can learn more about CSML by visiting the Alliant web site at If you are interested in joining our team of experts or have other questions about our program, please contact us . CSML continually seeks subject matter experts to join our cadre of adjunct faculty. The following are the duties, responsibilities, skills and qualifications that Alliant requires from applicants for an Adjunct professor position: Pedagogical & Academic Skills: Facilitating Classroom and Distance/Distributed Learning Course and syllabus preparation Class curriculum coordination and planning Assessment and evaluation of learners Mentoring and advising students Holding office hours and meeting with students Research/scholarship mentoring and supervision, particularly of MS theses, STEM projects, and PhD, EdD, DBA dissertations Skills: Proficient computer skills, including proficiency with Microsoft Office programs. The ability to work independently and be self-motivated. High level of accuracy and attention to detail and the ability to solve problems. The ability to explain complex requirements in clear and concise terms The ability to be flexible with workflow to meet the needs of the department and students and to manage multiple tasks by required deadlines The drive to encourage, direct, hold accountable and guide candidates toward task completion. Must demonstrate the ability to work as an effective team member and develop trusting relationships with students and Alliant employees, as well as the Registrar's Office and various academic departments. Culturally competent and ability to communicate and interact effectively with diverse people. Highly motivated, focused and results oriented. Ability to exercise discretion and tact in all interpersonal interactions, and to maintain confidentiality. Collaboration and partnering with other university stakeholders to support candidate success. Ability to make administrative/procedural decisions and judgments Technical & Subject Matter Expertise: Advanced knowledge of data analytics, statistical modeling, and data-driven decision-making Expertise in machine learning, artificial intelligence, and predictive modeling Proficiency in data wrangling, data preprocessing, and feature engineering Advanced knowledge of healthcare analytics, clinical informatics, and population health data Expertise in healthcare data standards and formats (e.g., HL7, FHIR, ICD-10, CPT, SNOMED) Proficiency in statistical modeling, predictive analytics, and machine learning applications in healthcare Strong skills in data cleaning, integration, and interoperability across healthcare systems Competence in programming languages commonly used in analytics (e.g., Python, R, SQL, SAS) Experience with electronic health records (EHR) systems and health information exchanges (HIE) Knowledge of data visualization and reporting tools (e.g., Tableau, Power BI, R Shiny, ggplot2) Understanding of data governance, healthcare compliance, and regulatory frameworks (e.g., HIPAA, GDPR) Familiarity with cloud platforms and secure computing environments for sensitive health data Knowledge of big data technologies and population-level analytics for public health and clinical research Minimum Requirements: Education:Master's, Doctoral or other terminal degrees from an accredited college or university, depending upon the needs of the course being taught. Experience: 5 years' appropriate industry experience in the areas(s) of specialization and expertise required Background Check Requirements: Employment is contingent upon successful completion of a background check (including criminal, prior employment and education verification). Failure to satisfactorily complete the background check may affect the application status of applicants or continued employment of current University employees who apply for the position. Additional Information: Anti-Discrimination Policy: Alliant International University prohibits unlawful discrimination, harassment or retaliation in its educational programs, services and activities, and in employment practices, including but not limited to internal promotions, training, opportunities for advancement, terminations, relationships with outside vendors, use of contractors and consultants, and in its admission or access thereto, on the basis of race, ethnicity, national origin or descent, color, creed, religion, sex, age, marital status, disability (including physical, disease, psychiatric or psychological disability), medical condition, pregnancy, veteran status, sexual orientation, gender identification or expression, hair style or texture associated with race . click apply for full job details
Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer Richmond, VA: $244,700 - $279,200 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/01/2026
Full time
Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer Richmond, VA: $244,700 - $279,200 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).